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Benjamin Miranda Tabak

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.

    Mentioned in:

    1. Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility (Energy Economics 2007) in ReplicationWiki ()

Working papers

  1. Silva, Thiago & Souza, Sérgio & Guerra, Solange & Tabak, Benjamin, 2022. "Decentralized Market Power in Credit Markets," MPRA Paper 114766, University Library of Munich, Germany.

    Cited by:

    1. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).

  2. Thiago C. Silva & Diego R. Amancio & Benjamin M. Tabak, 2020. "Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers," Papers 2001.06889, arXiv.org, revised Aug 2020.

    Cited by:

    1. Mohammed Adil Saleem & Faraz Zaidi & Céline Rozenblat, 2023. "World City Networks and Multinational Firms: An Analysis of Economic Ties Over a Decade," Networks and Spatial Economics, Springer, vol. 23(3), pages 559-580, September.

  3. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.

    Cited by:

    1. Paulo Roberto Scalco & Benjamin M. Tabak & Anderson Mutter Teixeira, 2019. "The Dark Side of Prudential Measures," Working papers - Textos para Discussao do Curso de Ciencias Economicas da UFG 078, Curso de Ciencias Economicas da Universidade Federal de Goias - FACE.
    2. Glocker, C., 2021. "Reserve requirements and financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    3. Glocker, Christian, 2019. "Do reserve requirements reduce the risk of bank failure?," MPRA Paper 95634, University Library of Munich, Germany.

  4. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.

    Cited by:

    1. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).

  5. Thiago Christiano Silva & Benjamin Miranda Tabak & Marcela Tetzner Laiz, 2019. "The Finance-Growth Nexus: the role of banks," Working Papers Series 506, Central Bank of Brazil, Research Department.

    Cited by:

    1. Tesfamlak Gizaw & Zerihun Getachew & Malebo Mancha, 2024. "Financial development and economic growth: evidence from emerging African and Asian countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 12(1), pages 2398213-239, August.
    2. Yang, Xue & Zhang, Peng & Zhao, Zuoxiang & Koondhar, Mansoor Ahmed, 2024. "How disaggregated natural resources rents affect financial development: From the perspective of sustainable development," Resources Policy, Elsevier, vol. 92(C).
    3. Patrick Behr & Lars Norden & Raquel Oliveira, 2020. "Labor and Finance: the effect of bank relationships," Working Papers Series 534, Central Bank of Brazil, Research Department.
    4. Santos, Anabela M. & Cincera, Michele & Cerulli, Giovanni, 2024. "Sources of financing: Which ones are more effective in innovation–growth linkage?," Economic Systems, Elsevier, vol. 48(2).
    5. Nayab Akhtar & Abdul Rashid, 2024. "Financial development and sustainable development: A review of literature," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 7114-7139, December.
    6. Wahyoe Soedarmono & Iman Gunadi & Sudiro Pambudi & Ade Dwi Aryani, 2022. "Bank Loan Loss Provisioning And Procyclicality Revisited: Evidence From Indonesia," Working Papers WP/02/2022, Bank Indonesia.
    7. Simona Dinu, Angela Roman, 2024. "The Impact Of Banking Sector Development On Economic Growth: The Case Of Eu Countries," European Journal of Public Administration Research, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 0, pages 23-44, June.
    8. Rudra P. Pradhan & Mak B. Arvin & Mahendhiran S. Nair & John H. Hall & Sara E. Bennett, 2026. "Financial Market Structures, Financial Market Openness, and the Innovation-Growth Nexus? Evidence from Developing Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 33(1), pages 171-211, March.
    9. Simona Elena Ciobanu, 2024. "Financial Inclusion and Monetary Policy: A Review of Literature," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 314-324.
    10. Hazwan Haini & Lutfi Abdul Razak & Pang Wei Loon & Sufrizul Husseini, 2023. "Re-examining the finance–institutions–growth nexus: does financial integration matter?," Economic Change and Restructuring, Springer, vol. 56(3), pages 1895-1924, June.
    11. Silva, Thiago Christiano & Valença, Paulo Ricardo Mendes & Tabak, Benjamin Miranda, 2024. "Economic performance of exporting sectors: Evidence for manufacturing in Brazil," Economic Systems, Elsevier, vol. 48(2).

  6. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.

    Cited by:

    1. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.

  7. Sergio Henrique Rodrigues da Silva & Benjamin Miranda Tabak & Daniel Oliveira Cajueiro & Dimas Mateus Fazio, 2018. "Economic Growth, Volatility and Their Interaction: What’s the role of finance?," Working Papers Series 474, Central Bank of Brazil, Research Department.

    Cited by:

    1. Abbas, Hafiz Syed Mohsin & Xu, Xiaodong & Sun, Chunxia, 2023. "Dynamics of group grievances from a global cohesion perspective," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    2. Summaira Malik & Ali Abbas & Malik Shahzad Shabbir & Carlos Samuel Ramos-Meza, 2024. "Business Cycle Fluctuations, Foreign Direct Investment, and Real Effective Exchange Rate Nexus Among Asian Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5466-5479, June.
    3. Kong, Qunxi & Guo, Rui & Wang, Yang & Sui, Xiuping & Zhou, Shimin, 2020. "Home-country environment and firms’ outward foreign direct investment decision: Evidence from Chinese firms," Economic Modelling, Elsevier, vol. 85(C), pages 390-399.
    4. Abdulaziz H. Algaeed, 2022. "Government Spending Volatility and Real Economic Growth: Evidence From a Major Oil Producing Country, Saudi Arabia, 1970 to 2018," SAGE Open, , vol. 12(2), pages 21582440221, April.
    5. Cavallaro, Eleonora & Villani, Ilaria, 2024. "Financial resilience, growth and risk sharing in the EU," International Economics, Elsevier, vol. 180(C).
    6. Thiago Christiano Silva & Benjamin Miranda Tabak & Marcela Tetzner Laiz, 2019. "The Finance-Growth Nexus: the role of banks," Working Papers Series 506, Central Bank of Brazil, Research Department.

  8. Dimas Mateus Fazio & Thiago Christiano Silva & Benjamin Miranda Tabak & Daniel Oliveira Cajueiro, 2018. "Inflation Targeting and Financial Stability: does the quality of institutions matter?," Working Papers Series 470, Central Bank of Brazil, Research Department.

    Cited by:

    1. Adel Bogari, 2023. "Does Institutional Quality matter to the Inflation Targeting-Financial Stability Nexus?," Bulletin of Applied Economics, Risk Market Journals, vol. 10(2), pages 141-158.
    2. Le, Anh-Tuan & Doan, Anh-Tuan & Phan, Thu, 2021. "Institutional development and firm risk from a dynamic perspective: Does ownership structure matter?," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 342-357.
    3. Thierno Thioune & Dieudonné Mignamissi & Séraphin Brice Minkoé Bikoula, 2025. "The Non-linear effect of Inflation on Economic Growth in Sub-Saharan Africa: Does Democracy Matter?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5548-5571, March.
    4. Dieudonné Mignamissi & Séraphin Brice Minkoé Bikoula & Thierno Thioune, 2023. "Inflation and Economic Growth in Sub-Saharan Africa: The Role of Institutions," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 847-871, December.
    5. Yildirim Beyazit Cicen, 2024. "Decoding Inflation: Role of Institutional Quality in Türkiye Using Advanced Econometric Techniques," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 1-35, June.
    6. Svitlana V. Onyshchuk & Igor I. Onyshchuk & Olha Petroye & Roman Chernysh, 2020. "Financial Stability and its Impact on National Security State: Organizational and Legal Aspects," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 353-365.
    7. Mutarindwa, Samuel & Schäfer, Dorothea & Stephan, Andreas, 2020. "Central banks' supervisory guidance on corporate governance and bank stability: Evidence from African countries," Emerging Markets Review, Elsevier, vol. 43(C).
    8. Ghosh, Taniya & Ajit, Yadavindu, 2025. "Does inflation targeting live up to all the hype?," Emerging Markets Review, Elsevier, vol. 69(C).
    9. MBASSI, Christophe Martial & HYOBA, Suzanne Edwige Clarisse & SHAHBAZ, Muhammad, 2023. "Does monetary policy really matter for environmental protection? The case of inflation targeting," Research in Economics, Elsevier, vol. 77(3), pages 427-452.
    10. Wang, Ruohan & Xue, Yi & Zheng, Wenping, 2021. "Does high external debt predict lower economic growth? Role of sovereign spreads and institutional quality," Economic Modelling, Elsevier, vol. 103(C).
    11. Kassouri, Yacouba & Altıntaş, Halil & Bilgili, Faik, 2020. "An investigation of the financial resource curse hypothesis in oil-exporting countries: The threshold effect of democratic accountability," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    12. Alexandru Minea & René Tapsoba & Patrick Villieu, 2021. "Inflation targeting adoption and institutional quality: Evidence from developing countries," The World Economy, Wiley Blackwell, vol. 44(7), pages 2107-2127, July.
    13. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    14. Mbassi, Christophe Martial & Samba, Cyrille Michel & Elomo Zogo, Thérèse, 2025. "Does monetary policy fuel energy consumption across the world? Focus on inflation targeting," Energy Economics, Elsevier, vol. 145(C).
    15. Garriga, Ana Carolina & Rodriguez, Cesar M., 2020. "More effective than we thought: Central bank independence and inflation in developing countries," Economic Modelling, Elsevier, vol. 85(C), pages 87-105.
    16. Agoraki, Maria-Eleni K. & Kouretas, Georgios P. & Triantopoulos, Christos, 2020. "Democracy, regulation and competition in emerging banking systems," Economic Modelling, Elsevier, vol. 84(C), pages 190-202.
    17. Liu, Zhonglu & He, Shuguang & Men, Wenjiao & Sun, Haibo, 2024. "Impact of climate risk on financial stability: Cross-country evidence," International Review of Financial Analysis, Elsevier, vol. 92(C).
    18. Fouda Owoundi, Jean-Pierre & Mbassi, Christophe Martial & Owoundi, Ferdinand, 2021. "Does inflation targeting weaken financial stability? Assessing the role of institutional quality," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 374-398.
    19. Svetlana Drobyazko & Anna Barwinska-Malajowicz & Boguslaw Slusarczyk & Olga Chubukova & Taliat Bielialov, 2020. "Risk Management in the System of Financial Stability of the Service Enterprise," JRFM, MDPI, vol. 13(12), pages 1-15, November.
    20. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    21. Shabir, Mohsin & Jiang, Ping & Bakhsh, Satar & Zhao, Zhongxiu, 2021. "Economic policy uncertainty and bank stability: Threshold effect of institutional quality and competition," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    22. Gaganis, Chrysovalantis & Galariotis, Emilios & Pasiouras, Fotios & Staikouras, Christos, 2020. "Bank profit efficiency and financial consumer protection policies," Journal of Business Research, Elsevier, vol. 118(C), pages 98-116.
    23. Ngambou Djatche, Melchisédek Joslem, 2019. "Re-exploring the nexus between monetary policy and banks' risk-taking," Economic Modelling, Elsevier, vol. 82(C), pages 294-307.
    24. Shabir, Mohsin & Jiang, Ping & Wang, Wenhao & Işık, Özcan, 2023. "COVID-19 pandemic impact on banking sector: A cross-country analysis," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    25. Gabriel Caldas Montes & José Américo Pereira Antunes & Alexei Ferreira Araújo, 2021. "Effects of monetary policy and credibility on financial intermediation: evidence from the Brazilian banking sector," Empirical Economics, Springer, vol. 60(3), pages 1191-1219, March.
    26. Ozili, Peterson K, 2025. "Country-wide protests and financial stability," MPRA Paper 123300, University Library of Munich, Germany.
    27. Cavallaro, Eleonora & Cutrini, Eleonora, 2019. "Distance and beyond: What drives financial flows to emerging economies?," Economic Modelling, Elsevier, vol. 81(C), pages 533-550.
    28. Aamir Aijaz Syed & Muhammad Abdul Kamal & Assad Ullah & Simon Grima, 2022. "An Asymmetric Analysis of the Influence That Economic Policy Uncertainty, Institutional Quality, and Corruption Level Have on India’s Digital Banking Services and Banking Stability," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    29. Tuong Le & Minh Thanh Vo & Bay Vo & Mi Young Lee & Sung Wook Baik, 2019. "A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction," Complexity, Hindawi, vol. 2019, pages 1-12, August.
    30. Mei-Yin Lin, 2026. "Green innovation and financial stability: a panel threshold analysis," International Economics and Economic Policy, Springer, vol. 23(1), pages 1-26, February.
    31. Phan, Dinh Hoang Bach & Iyke, Bernard Njindan & Sharma, Susan Sunila & Affandi, Yoga, 2021. "Economic policy uncertainty and financial stability–Is there a relation?," Economic Modelling, Elsevier, vol. 94(C), pages 1018-1029.
    32. Abdelaziz Hakimi & Hichem Saidi & Mohamed Ali Khemiri, 2025. "Natural Resource Rent and Bank Stability in the MENA Region: Does Institutional Quality Matter?," Risks, MDPI, vol. 13(6), pages 1-21, May.
    33. Fărcaș, Ioana Georgiana & Nistor, Simona, 2023. "The impact of culture on government interventions in the banking sector," Economic Modelling, Elsevier, vol. 129(C).
    34. Suh, Sangwon & Kim, Daehwan, 2021. "Inflation targeting and expectation anchoring: Evidence from developed and emerging market economies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    35. Dridi, Ichrak & Boughrara, Adel, 2021. "On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 179-194.

  9. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.

    Cited by:

    1. Cao, Jie & Wen, Fenghua & Stanley, H. Eugene & Wang, Xiong, 2021. "Multilayer financial networks and systemic importance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Heuver, Richard A. & Berndsen, Ron J., 2022. "Liquidity coverage ratio in a payment network: Uncovering contagion paths," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    3. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    4. Tabak, Benjamin Miranda & Silva, Igor Bettanin Dalla Riva e & Silva, Thiago Christiano, 2022. "Analysis of connectivity between the world’s banking markets: The COVID-19 global pandemic shock," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 324-336.
    5. Ștefan Ionescu & Nora Chiriță & Ionuț Nica & Camelia Delcea, 2023. "An Analysis of Residual Financial Contagion in Romania’s Banking Market for Mortgage Loans," Sustainability, MDPI, vol. 15(15), pages 1-32, August.
    6. Bednarek, Peter & Dinger, Valeriya & Schultz, Alison & von Westernhagen, Natalja, 2023. "Banks of a feather: The informational advantage of being alike," Discussion Papers 09/2023, Deutsche Bundesbank.
    7. Sánchez García, Javier & Cruz Rambaud, Salvador, 2023. "Inflation and systemic risk: A network econometric model," Finance Research Letters, Elsevier, vol. 56(C).
    8. Alexandre, Michel & Silva, Thiago Christiano & Tabak, Benjamin Miranda, 2024. "The labor market channel of systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    9. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    10. Yubin Huangfu & Haibo Yu & Zuoji Dong & Yingman Wang, 2024. "Research on the Risk Spillover among the Real Economy, Real Estate Market, and Financial System: Evidence from China," Land, MDPI, vol. 13(6), pages 1-26, June.
    11. Cao, Yufei & Zou, Yueming, 2025. "How robust are financial connectedness networks? A network attack assessment," Research in International Business and Finance, Elsevier, vol. 76(C).
    12. Mustafa Hakan Eratalay & Ariana Paola Cortés Ángel, 2022. "The Impact of ESG Ratings on the Systemic Risk of European Blue-Chip Firms," JRFM, MDPI, vol. 15(4), pages 1-41, March.
    13. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    14. Xiang, Youtao & Borjigin, Sumuya, 2023. "Downside and upside risk spillovers between financial industry and real economy based on linear and nonlinear networks," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1337-1374.
    15. Michel Alexandre & Thiago Christiano Silva, 2023. "Labor Market and Systemic Risk: a network-based approach," Working Papers Series 584, Central Bank of Brazil, Research Department.
    16. Wissam AlAli & c{C}au{g}{i}n Ararat, 2024. "Systemic values-at-risk and their sample-average approximations," Papers 2408.08511, arXiv.org.
    17. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    18. Le, Richard & Ku, Hyejin, 2022. "Reducing systemic risk in a multi-layer network using reinforcement learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    19. Lei, Jingyue & Shen, Peilong & Li, Zhinan, 2025. "Multilayer bank-firm networks and financial risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    20. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Carlos Eduardo de Almeida, 2019. "Bailing in Banks: costs and benefits," Working Papers Series 504, Central Bank of Brazil, Research Department.
    21. Jing, Zhongbo & Liu, Zhidong & Qi, Liyao & Zhang, Xuan, 2022. "Spillover effects of banking systemic risk on firms in China: A financial cycle analysis," International Review of Financial Analysis, Elsevier, vol. 82(C).
    22. Peilong Shen & Zhinan Li, 2020. "Financial contagion in inter-bank networks with overlapping portfolios," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 845-865, October.
    23. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    24. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    25. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    26. Jiang, Yonghong & Wu, Lanxin & Tian, Gengyu & Nie, He, 2021. "Do cryptocurrencies hedge against EPU and the equity market volatility during COVID-19? – New evidence from quantile coherency analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    27. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    28. Kosenko, Konstantin & Michelson, Noam, 2022. "It takes more than two to tango: Multiple bank lending, asset commonality and risk," Journal of Financial Stability, Elsevier, vol. 61(C).
    29. Jiang, Cheng & Sun, Qian & Ye, Tanglin & Wang, Qingyun, 2023. "Identification of systemically important financial institutions in a multiplex financial network: A multi-attribute decision-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    30. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    31. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.
    32. Mikropoulou, Christina D. & Vouldis, Angelos T., 2025. "Financial contagion within the interbank network," Journal of Financial Stability, Elsevier, vol. 81(C).
    33. Yan, Chun & Ding, Yi & Liu, Wei & Liu, Xinhong & Liu, Jiahui, 2023. "Multilayer interbank networks and systemic risk propagation: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    34. Xiaoming Zhang & Chunyan Wei & Stefano Zedda, 2019. "Analysis of China Commercial Banks’ Systemic Risk Sustainability through the Leave-One-Out Approach," Sustainability, MDPI, vol. 12(1), pages 1-15, December.
    35. Wang, Guanghou & Zhao, Han & Shu, Lei & Song, Lei, 2025. "Understanding risk spillover in multi-layer financial networks: The role of bank–firm connections," International Review of Financial Analysis, Elsevier, vol. 105(C).
    36. Pang, Congyuan & Fan, Hong, 2024. "Risk amplification effect of multilayer financial networks: Feedback mechanism or cyclic structure?," Economics Letters, Elsevier, vol. 242(C).
    37. Biswas, Swarnava S. & Gómez, Fabiana, 2018. "Contagion through common borrowers," Journal of Financial Stability, Elsevier, vol. 39(C), pages 125-132.
    38. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.
    39. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    40. Silva, Thiago Christiano & Guerra, Solange Maria & da Silva, Michel Alexandre & Tabak, Benjamin Miranda, 2020. "Micro-level transmission of monetary policy shocks: The trading book channel," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 279-298.
    41. Hałaj, Grzegorz, 2020. "Resilience of Canadian banks to funding liquidity shocks," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).

  10. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.

    Cited by:

    1. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    2. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    3. Berndsen, Ron J. & León, Carlos & Renneboog, Luc, 2018. "Financial stability in networks of financial institutions and market infrastructures," Journal of Financial Stability, Elsevier, vol. 35(C), pages 120-135.

  11. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2016. "Financial Networks, Bank Efficiency and Risk-Taking," Working Papers Series 428, Central Bank of Brazil, Research Department.

    Cited by:

    1. Boyao Wu & Difang Huang & Muzi Chen, 2024. "Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect," Papers 2404.04335, arXiv.org.
    2. Zhang, Xiaoyuan & Zhang, Tianqi, 2022. "Dynamic credit contagion and aggregate loss in networks," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    3. Thiago Christiano Silva & Benjamin Miranda Tabak, 2019. "Growth and Activity Diversification: the impact of financing non-traditional local activities," Working Papers Series 498, Central Bank of Brazil, Research Department.
    4. Edoardo Gaffeo & Massimo Molinari, 2016. "A functional perspective to financial networks," DEM Working Papers 2016/06, Department of Economics and Management.
    5. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    6. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    7. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    8. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    9. Li, Bingqing & Zhang, Xiaoyuan, 2024. "Systemic risk and financial networks," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 25-36.
    10. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    11. Swain, Pankaj & Poddar, Abhishek & Misra, Arun Kumar, 2025. "How stressed are the banks? An inter-temporal network analysis," Emerging Markets Review, Elsevier, vol. 69(C).
    12. Arreola Hernandez, Jose & Kang, Sang Hoon & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2020. "Spillovers and diversification potential of bank equity returns from developed and emerging America," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    13. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    14. Thiago C. Silva & Diego R. Amancio & Benjamin M. Tabak, 2020. "Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers," Papers 2001.06889, arXiv.org, revised Aug 2020.
    15. Zhang, Xingmin & Fu, Qiang & Lu, Liping & Wang, Qingyu & Zhang, Shuai, 2021. "Bank liquidity creation, network contagion and systemic risk: Evidence from Chinese listed banks," Journal of Financial Stability, Elsevier, vol. 53(C).
    16. Tan, Yong & Walheer, Barnabé, 2024. "Stability and economic performances in the banking industry: The case of China," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 326-345.
    17. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    18. Téllez-León, Isela-Elizabeth & Martínez-Jaramillo, Serafín & O. L. Escobar-Farfán, Luis & Hochreiter, Ronald, 2021. "How are network centrality metrics related to interest rates in the Mexican secured and unsecured interbank markets?," Journal of Financial Stability, Elsevier, vol. 55(C).
    19. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    20. Antonio Cabrales & Piero Gottardi, 2024. "Network Formation and Heterogeneous Risks," CESifo Working Paper Series 11122, CESifo.
    21. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    22. Jia Lu & Agyenim Boateng, 2018. "Board composition, monitoring and credit risk: evidence from the UK banking industry," Review of Quantitative Finance and Accounting, Springer, vol. 51(4), pages 1107-1128, November.
    23. Walter Gontarek & Yacine Belghitar, 2021. "CEO chairman controversy: evidence from the post financial crisis period," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 675-713, February.
    24. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    25. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    26. Safiullah, Md & Shamsuddin, Abul, 2019. "Risk-adjusted efficiency and corporate governance: Evidence from Islamic and conventional banks," Journal of Corporate Finance, Elsevier, vol. 55(C), pages 105-140.
    27. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.
    28. Nicholas S. Coleman & Ricardo Correa & Leo Feler & Jason Goldrosen, 2017. "Internal Liquidity Management and Local Credit Provision," International Finance Discussion Papers 1204, Board of Governors of the Federal Reserve System (U.S.).
    29. Jialin Guo & Desheng Wu, 2024. "A hybrid pseudo‐Malmquist and Grey–TOPSIS model for group efficiency comparison: Bank credit allocation efficiency comparative analysis in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 4240-4257, September.
    30. Chen, Tingqiang & Wang, Yutong & Zeng, Qianru & Luo, Jun, 2020. "Network model of credit risk contagion in the interbank market by considering bank runs and the fire sale of external assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    31. Safiullah, Md, 2021. "Stability efficiency in Islamic banks: Does board governance matter?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    32. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Interdependence and portfolio optimisation of bank equity returns from developed and emerging Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 678-696, January.
    33. Kozak Sylwester & Wierzbowska Agata, 2021. "Banking Market Concentration and Bank Efficiency. Evidence from Southern, Eastern and Central Europe," South East European Journal of Economics and Business, Sciendo, vol. 16(1), pages 38-52, June.
    34. Abedifar, Pejman & Giudici, Paolo & Hashem, Shatha Qamhieh, 2017. "Heterogeneous market structure and systemic risk: Evidence from dual banking systems," Journal of Financial Stability, Elsevier, vol. 33(C), pages 96-119.
    35. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    36. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    37. Jamshid ur Rehman & Khalid Hussain & Ishfaq Ahmed & Abdul Latif & Roman Ullah, 2024. "Nexus between Corporate Governance and Bank ‘Risks: Insight from the Commercial Banks in Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 877-883.
    38. Zhang, Xiaoyuan & You, Hang & Zhang, Ze & Wu, Wangchun, 2025. "Asset association and dynamic risk contagion under climate policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 102(C).
    39. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    40. Duan, Yuejiao & Fan, Xiaoyun & Li, Xinming & Rong, Yuhao & Shi, Benye, 2021. "Do efficient banks create more liquidity: international evidence," Finance Research Letters, Elsevier, vol. 42(C).

  12. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2020. "Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    2. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.
    3. Chen, Jiusheng & Wang, Xianning, 2025. "Climate policy uncertainty and the Chinese sectoral stock market: A multilayer network analysis," Economic Systems, Elsevier, vol. 49(1).
    4. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    5. Zhang, Chuanzhe & Pang, Shaopeng & Yu, Hao & Han, Guozheng, 2021. "A fund-stock network projection model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    6. João Barata Ribeiro Blanco Barroso & Thiago Christiano Silva & Sergio Rubens Stancato de Souza, 2016. "Decomposition of Systemic Risk Drivers in Evolving Financial Networks," Working Papers Series 448, Central Bank of Brazil, Research Department.
    7. Qiu, Lu & Yang, Huijie, 2020. "Transfer entropy calculation for short time sequences with application to stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    8. Yong Tang & Jason Jie Xiong & Zi-Yang Jia & Yi-Cheng Zhang, 2018. "Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets," Complexity, Hindawi, vol. 2018, pages 1-31, November.
    9. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    10. Duarte Queirós, Sílvio M. & Anteneodo, Celia, 2016. "Complexity in quantitative finance and economics," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 1-2.
    11. Millington, Tristan & Niranjan, Mahesan, 2021. "Stability and similarity in financial networks—How do they change in times of turbulence?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    12. Clemente, G.P. & Grassi, R., 2018. "Directed clustering in weighted networks: A new perspective," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 26-38.
    13. Kulkarni, Saumitra & Pharasi, Hirdesh K. & Vijayaraghavan, Sudharsan & Kumar, Sunil & Chakraborti, Anirban & Samal, Areejit, 2024. "Investigation of Indian stock markets using topological data analysis and geometry-inspired network measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    14. Anwesha Sengupta & Shashankaditya Upadhyay & Indranil Mukherjee & Prasanta K. Panigrahi, 2022. "Describing the effect of influential spreaders on the different sectors of Indian market: a complex networks perspective," Papers 2303.05432, arXiv.org.
    15. Li, Yan & Jiang, Xiong-Fei & Tian, Yue & Li, Sai-Ping & Zheng, Bo, 2019. "Portfolio optimization based on network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 671-681.
    16. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    17. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).
    18. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    19. Liu, Xueyong & Jiang, Cheng, 2020. "The dynamic volatility transmission in the multiscale spillover network of the international stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    20. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.

  13. Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Why Do Vulnerability Cycles Matter in Financial Networks?," Working Papers Series 442, Central Bank of Brazil, Research Department.

    Cited by:

    1. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    2. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    3. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    4. Marc Homs-Dones & Robert S. MacKay & Bazil Sansom & Yijie Zhou, 2025. "Circular Directional Flow Decomposition of Networks," Papers 2506.12546, arXiv.org.
    5. Silva, Thiago Christiano & Souza, Sergio Rubens Stancato & Tabak, Benjamin Miranda, 2017. "Monitoring vulnerability and impact diffusion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 109-135.
    6. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.

  14. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

    Cited by:

    1. Noureddine Kouaissah & Amin Hocine, 2021. "Forecasting systemic risk in portfolio selection: The role of technical trading rules," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 708-729, July.
    2. Cao, Guangxi & Zhang, Qi & Li, Qingchen, 2017. "Causal relationship between the global foreign exchange market based on complex networks and entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 36-44.
    3. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    4. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    5. Alexandre, Michel & Silva, Thiago Christiano & Tabak, Benjamin Miranda, 2024. "The labor market channel of systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    6. Avdjiev, S. & Giudici, P. & Spelta, A., 2019. "Measuring contagion risk in international banking," Journal of Financial Stability, Elsevier, vol. 42(C), pages 36-51.
    7. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    8. Bastidon, Cécile & Jawadi, Fredj, 2024. "Trade fragmentation and volatility-of-volatility networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    9. de Mendonça, Helder Ferreira & Silva, Rafael Bernardo da, 2018. "Effect of banking and macroeconomic variables on systemic risk: An application of ΔCOVAR for an emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 141-157.
    10. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    11. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Carlos Eduardo de Almeida, 2019. "Bailing in Banks: costs and benefits," Working Papers Series 504, Central Bank of Brazil, Research Department.
    12. Nandita Bhattacharjee & Ambika Prasad Pati, 2023. "Exploring Systemic Risk Measurement Issues in Shadow Banks: A Case of an Emerging Economy," South Asian Journal of Macroeconomics and Public Finance, , vol. 12(2), pages 186-217, December.
    13. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    14. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    15. Daniele Petrone & Neofytos Rodosthenous & Vito Latora, 2022. "An AI approach for managing financial systemic risk via bank bailouts by taxpayers," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    16. Alexandre, Michel & Silva, Thiago Christiano & Michalak, Krzysztof & Rodrigues, Francisco Aparecido, 2023. "Does the default pecking order impact systemic risk? Evidence from Brazilian data," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1379-1391.
    17. Huichen Jiang & Jun Zhang, 2020. "Discovering Systemic Risks of China's Listed Banks by CoVaR Approach in the Digital Economy Era," Mathematics, MDPI, vol. 8(2), pages 1-28, February.
    18. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    19. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    20. Bardoscia, Marco & Barucca, Paolo & Codd, Adam Brinley & Hill, John, 2019. "Forward-looking solvency contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    21. Aida Barkauskaite & Ausrine Lakstutiene & Justyna Witkowska, 2018. "Measurement of Systemic Risk in a Common European Union Risk-Based Deposit Insurance System: Formal Necessity or Value-Adding Process?," Risks, MDPI, vol. 6(4), pages 1-21, December.
    22. Li, Wenwei & Hommel, Ulrich & Paterlini, Sandra, 2018. "Network topology and systemic risk: Evidence from the Euro Stoxx market," Finance Research Letters, Elsevier, vol. 27(C), pages 105-112.
    23. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    24. Gabriele Visentin & Stefano Battiston & Marco D'Errico, 2016. "Rethinking Financial Contagion," Papers 1608.07831, arXiv.org.
    25. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.
    26. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    27. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.
    28. Casarin, Roberto & Costola, Michele & Yenerdag, Erdem, 2018. "Financial bridges and network communities," SAFE Working Paper Series 208, Leibniz Institute for Financial Research SAFE, revised 2018.
    29. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    30. Narayan, Shivani & Kumar, Dilip & Bouri, Elie, 2023. "Systemically important financial institutions and drivers of systemic risk: Evidence from India," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    31. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    32. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    33. Ardekani, Aref Mahdavi & Distinguin, Isabelle & Tarazi, Amine, 2020. "Do banks change their liquidity ratios based on network characteristics?," European Journal of Operational Research, Elsevier, vol. 285(2), pages 789-803.
    34. Nicolás Magner & Jaime F. Lavín & Mauricio A. Valle, 2022. "Modeling Synchronization Risk among Sustainable Exchange Trade Funds: A Statistical and Network Analysis Approach," Mathematics, MDPI, vol. 10(19), pages 1-30, October.

  15. Anderson Mutter Teixeira & Benjamin M. Tabak & Daniel O. Cajueiro, 2016. "The 2d:4d Ratio And Myopic Loss Aversion (Mla): An Experimental Investigation," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 129, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. da Silva, Eduardo Borges & Silva, Thiago Christiano & Constantino, Michel & Amancio, Diego Raphael & Tabak, Benjamin Miranda, 2020. "Overconfidence and the 2D:4D ratio," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    2. Nofsinger, John R. & Patterson, Fernando M. & Shank, Corey A., 2018. "Decision-making, financial risk aversion, and behavioral biases: The role of testosterone and stress," Economics & Human Biology, Elsevier, vol. 29(C), pages 1-16.

  16. Thiago Christiano Silva & Marcos Soares da Silva & Benjamin Miranda Tabak, 2015. "Liquidity Performance Evaluation of the Brazilian Interbank Market using a Network-Based Approach," Working Papers Series 401, Central Bank of Brazil, Research Department.

    Cited by:

    1. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    2. Marnix Van Soom & Milan Van Den Heuvel & Jan Ryckebusch & Koen Schoors, 2019. "Loan Maturity Aggregation In Interbank Lending Networks Obscures Mesoscale Structure And Economic Functions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/952, Ghent University, Faculty of Economics and Business Administration.

  17. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Monitoring Vulnerability and Impact Diffusion in Financial Networks," Working Papers Series 392, Central Bank of Brazil, Research Department.

    Cited by:

    1. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    2. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    3. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    4. Wang, Chao & Jia, Chenfang & Liu, Xiaoxing, 2025. "Carbon-related credit concentration and banking systemic risk due to climate transition shocks," International Review of Financial Analysis, Elsevier, vol. 105(C).
    5. João Barata Ribeiro Blanco Barroso & Thiago Christiano Silva & Sergio Rubens Stancato de Souza, 2016. "Decomposition of Systemic Risk Drivers in Evolving Financial Networks," Working Papers Series 448, Central Bank of Brazil, Research Department.
    6. Alexandre, Michel & Silva, Thiago Christiano & Tabak, Benjamin Miranda, 2024. "The labor market channel of systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    7. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    8. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Amancio, Diego R., 2024. "Machine learning and economic forecasting: The role of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    9. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    10. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    11. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    12. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    13. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Carlos Eduardo de Almeida, 2019. "Bailing in Banks: costs and benefits," Working Papers Series 504, Central Bank of Brazil, Research Department.
    14. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    15. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    16. Rivera-Castro, Miguel A. & Ugolini, Andrea & Arismendi Zambrano, Juan, 2018. "Tail systemic risk and contagion: Evidence from the Brazilian and Latin America banking network," Emerging Markets Review, Elsevier, vol. 35(C), pages 164-189.
    17. Zhang, Simpson & van der Schaar, Mihaela, 2020. "Reputational dynamics in financial networks during a crisis," Journal of Financial Stability, Elsevier, vol. 49(C).
    18. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    19. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    20. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    21. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    22. Jiang, Cheng & Sun, Qian & Ye, Tanglin & Wang, Qingyun, 2023. "Identification of systemically important financial institutions in a multiplex financial network: A multi-attribute decision-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    23. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    24. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.
    25. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    26. Chao Wang & Boyi Chen & Xiaoxing Liu, 2024. "Credit diversification and banking systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(1), pages 59-83, January.
    27. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    28. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    29. Silva, Thiago Christiano & Guerra, Solange Maria & da Silva, Michel Alexandre & Tabak, Benjamin Miranda, 2020. "Micro-level transmission of monetary policy shocks: The trading book channel," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 279-298.
    30. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

  18. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.

    Cited by:

    1. Thiago Christiano Silva & Marcos Soares da Silva & Benjamin Miranda Tabak, 2015. "Liquidity Performance Evaluation of the Brazilian Interbank Market using a Network-Based Approach," Working Papers Series 401, Central Bank of Brazil, Research Department.
    2. Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020. "Commercial and banking credit network in Uruguay," Documentos de trabajo 2020006, Banco Central del Uruguay.
    3. Micah Pollak & Yuanying Guan, 2017. "Partially Overlapping Ownership and Contagion in Financial Networks," Complexity, Hindawi, vol. 2017, pages 1-16, November.
    4. Thiago Christiano Silva & Benjamin Miranda Tabak, 2019. "Growth and Activity Diversification: the impact of financing non-traditional local activities," Working Papers Series 498, Central Bank of Brazil, Research Department.
    5. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    6. Ben Amor, Souhir & Althof, Michael & Härdle, Wolfgang Karl, 2022. "Financial Risk Meter for emerging markets," Research in International Business and Finance, Elsevier, vol. 60(C).
    7. Hu Wang & Shouwei Li, 2023. "Identifying Systemically Important Banks Based on an Improved DebtRank Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1505-1523, December.
    8. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    9. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    10. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    11. Li, Yanshuang & Zhuang, Xintian & Wang, Jian & Zhang, Weiping, 2020. "Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    12. Dietmar Maringer & Ben Craig & Sandra Paterlini, 2022. "Constructing banking networks under decreasing costs of link formation," Computational Management Science, Springer, vol. 19(1), pages 41-64, January.
    13. Elosegui, Pedro & Forte, Federico D. & Montes-Rojas, Gabriel, 2022. "Network structure and fragmentation of the Argentinean interbank markets," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(3).
    14. Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
    15. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Monitoring Vulnerability and Impact Diffusion in Financial Networks," Working Papers Series 392, Central Bank of Brazil, Research Department.
    16. Sadamori Kojaku & Giulio Cimini & Guido Caldarelli & Naoki Masuda, 2018. "Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis," Papers 1802.05139, arXiv.org.
    17. Ben R. Craig & Dietmar Maringer & Sandra Paterlini, 2019. "Recreating Banking Networks under Decreasing Fixed Costs," Working Papers 19-21, Federal Reserve Bank of Cleveland.
    18. Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    19. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Carlos Eduardo de Almeida, 2019. "Bailing in Banks: costs and benefits," Working Papers Series 504, Central Bank of Brazil, Research Department.
    20. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    21. Arreola Hernandez, Jose & Kang, Sang Hoon & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2020. "Spillovers and diversification potential of bank equity returns from developed and emerging America," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    22. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    23. Lartey, Theophilus & James, Gregory A. & Danso, Albert & Boateng, Agyenim, 2023. "Interbank market structure, bank conduct, and performance: Evidence from the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 1-25.
    24. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda & de Castro Miranda, Rodrigo Cesar, 2016. "Financial networks, bank efficiency and risk-taking," Journal of Financial Stability, Elsevier, vol. 25(C), pages 247-257.
    25. Téllez-León, Isela-Elizabeth & Martínez-Jaramillo, Serafín & O. L. Escobar-Farfán, Luis & Hochreiter, Ronald, 2021. "How are network centrality metrics related to interest rates in the Mexican secured and unsecured interbank markets?," Journal of Financial Stability, Elsevier, vol. 55(C).
    26. Li, Yanshuang & Zhuang, Xintian & Wang, Jian & Dong, Zibing, 2021. "Analysis of the impact of COVID-19 pandemic on G20 stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    27. Sebastiano Michele Zema, 2023. "Uncovering the network structure of non-centrally cleared derivative markets: evidence from large regulatory data," Empirical Economics, Springer, vol. 65(4), pages 1799-1822, October.
    28. Wang, Haibo, 2024. "Assessing resilience to systemic risks across interbank credit networks using linkage-leverage analysis: Evidence from Japan," International Review of Financial Analysis, Elsevier, vol. 94(C).
    29. Rivera-Castro, Miguel A. & Ugolini, Andrea & Arismendi Zambrano, Juan, 2018. "Tail systemic risk and contagion: Evidence from the Brazilian and Latin America banking network," Emerging Markets Review, Elsevier, vol. 35(C), pages 164-189.
    30. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    31. José Carreño & Rodrigo Cifuentes, 2017. "Identifying Complex Core-Periphery Structures in the Interbank Market," Working Papers Central Bank of Chile 813, Central Bank of Chile.
    32. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    33. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    34. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    35. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    36. Caceres-Santos, Jonnathan & Rodriguez-Martinez, Anahi & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2020. "Systemic risk and other interdependencies among banks in Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    37. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    38. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    39. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.
    40. Yue Pu & Yunting Li & Jinjin Zhang, 2023. "Features and evolution of the ‘Belt and Road’ regional value chain: Complex network analysis," The World Economy, Wiley Blackwell, vol. 46(7), pages 2134-2156, July.
    41. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    42. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.
    43. Berlinger, Edina & Gosztonyi, Márton & Havran, Dániel & Pollák, Zoltán, 2023. "Interpersonal versus interbank lending networks: The role of intermediation in risk-sharing," Emerging Markets Review, Elsevier, vol. 54(C).
    44. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    45. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Interdependence and portfolio optimisation of bank equity returns from developed and emerging Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 678-696, January.
    46. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    47. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    48. Sümer, Tuba Pelin & Özyıldırım, Süheyla, 2019. "Do banking groups shape the network structure? Evidence from Turkish interbank market," International Review of Financial Analysis, Elsevier, vol. 66(C).
    49. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    50. Cuba, Walter & Rodriguez-Martinez, Anahi & Chavez, Diego A. & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2021. "A network characterization of the interbank exposures in Peru," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    51. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    52. Silva, Thiago Christiano & Guerra, Solange Maria & da Silva, Michel Alexandre & Tabak, Benjamin Miranda, 2020. "Micro-level transmission of monetary policy shocks: The trading book channel," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 279-298.
    53. Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2021. "Analysis of the cross-region risk contagion effect in stock market based on volatility spillover networks: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).

  19. Ahmet Sensoy & Benjamin M. Tabak, 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Working Papers Series 351, Central Bank of Brazil, Research Department.

    Cited by:

    1. Elena Farahbakhsh Touli & Hoang Nguyen & Olha Bodnar, 2025. "Monitoring the Dynamic Networks of Stock Returns with an Application to the Swedish Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1741-1758, March.
    2. Anna Denkowska & Stanis{l}aw Wanat, 2019. "A Dynamic MST- deltaCovar Model Of Systemic Risk In The European Insurance Sector," Papers 1912.05641, arXiv.org.
    3. Cao, Guangxi & Zhang, Qi & Li, Qingchen, 2017. "Causal relationship between the global foreign exchange market based on complex networks and entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 36-44.
    4. Gerson N. Cardoso & Geraldo E. Silva, 2024. "Electoral influences on the Brazilian B3 data correlation network," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 251-272, January.
    5. Juan Eberhard & Jaime F. Lavin & Alejandro Montecinos-Pearce, 2017. "A Network-Based Dynamic Analysis in an Equity Stock Market," Complexity, Hindawi, vol. 2017, pages 1-16, November.
    6. Buscema, Massimo & Sacco, Pier Luigi, 2016. "MST Fitness Index and implicit data narratives: A comparative test on alternative unsupervised algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 726-746.
    7. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    8. Anna Denkowska & Stanisław Wanat, 2022. "Linkages and systemic risk in the European insurance sector. New evidence based on Minimum Spanning Trees," Risk Management, Palgrave Macmillan, vol. 24(2), pages 123-136, June.
    9. Bhattacharjee, Biplab & Kumar, Rajiv & Senthilkumar, Arunachalam, 2022. "Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks," International Review of Financial Analysis, Elsevier, vol. 84(C).
    10. Kalyagin, V.A. & Koldanov, A.P. & Koldanov, P.A., 2022. "Reliability of maximum spanning tree identification in correlation-based market networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    11. Deviren, Seyma Akkaya & Deviren, Bayram, 2016. "The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 429-439.
    12. Bilal Ahmed Memon & Rabia Tahir, 2021. "Examining Network Structures and Dynamics of World Energy Companies in Stock Markets: A Complex Network Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 329-344.
    13. V. A. Kalyagin & A. P. Koldanov & P. A. Koldanov, 2021. "Reliability of MST identification in correlation-based market networks," Papers 2103.14593, arXiv.org.
    14. Anna Denkowska & Stanisław Wanat, 2020. "A Tail Dependence-Based MST and Their Topological Indicators in Modeling Systemic Risk in the European Insurance Sector," Risks, MDPI, vol. 8(2), pages 1-22, April.
    15. Koldanov P. A. & Koldanov A. P. & Tsygankov V. V., 2025. "Uncertainty of Market Graph Identification," SN Operations Research Forum, Springer, vol. 6(4), pages 1-21, December.
    16. Thiago C. Silva & Diego R. Amancio & Benjamin M. Tabak, 2020. "Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers," Papers 2001.06889, arXiv.org, revised Aug 2020.
    17. Yuanrong Wang & Antonio Briola & Tomaso Aste, 2023. "Topological Portfolio Selection and Optimization," Papers 2310.14881, arXiv.org.
    18. Anna Denkowska & Stanis{l}aw Wanat, 2019. "Linkages and systemic risk in the European insurance sector: Some new evidence based on dynamic spanning trees," Papers 1908.01142, arXiv.org, revised Aug 2019.
    19. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    20. Deev, Oleg & Lyócsa, Štefan, 2020. "Connectedness of financial institutions in Europe: A network approach across quantiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    21. Xue Guo & Hu Zhang & Tianhai Tian, 2018. "Development of stock correlation networks using mutual information and financial big data," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
    22. Arnav Hiray & Pratvi Shah & Vishwa Shah & Agam Shah & Sudheer Chava & Mukesh Tiwari, 2023. "Shifting Cryptocurrency Influence: A High-Resolution Network Analysis of Market Leaders," Papers 2307.16874, arXiv.org, revised Jan 2024.
    23. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    24. Majapa, Mohamed & Gossel, Sean Joss, 2016. "Topology of the South African stock market network across the 2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 35-47.
    25. Mengting Fan & Zan Mo & Qizhi Zhao & Yi Liang & Shaoyang Guo & Yanjun Chen, 2024. "RETRACTED ARTICLE: Unraveling Double Shocks: An In-Depth Analysis of Risk Contagion in China’s Inter-Bank Market," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20251-20298, December.
    26. Samitas, Aristeidis & Kampouris, Elias & Kenourgios, Dimitris, 2020. "Machine learning as an early warning system to predict financial crisis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    27. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    28. Ekaterina E. Emm & Gerald D. Gay & Han Ma & Honglin Ren, 2022. "Effects of the Covid‐19 pandemic on derivatives markets: Evidence from global futures and options exchanges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 823-851, May.
    29. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    30. Chuangxia Huang & Xian Zhao & Renli Su & Xiaoguang Yang & Xin Yang, 2022. "Dynamic network topology and market performance: A case of the Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1962-1978, April.
    31. Lan, Qiujun & Li, Haojie & Mi, Xianhua & Zhang, Chunyu, 2025. "Optimizing investment strategies: Harnessing the power of K-line complex networks," International Review of Economics & Finance, Elsevier, vol. 99(C).
    32. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    33. Haishu Qiao & Yue Xia & Ying Li, 2016. "Can Network Linkage Effects Determine Return? Evidence from Chinese Stock Market," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-25, June.
    34. Gang-Jin Wang & Chi Xie & H. Eugene Stanley, 2018. "Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 607-635, March.
    35. Barbi, A.Q. & Prataviera, G.A., 2019. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 876-885.
    36. Juan Eberhard & Jaime F. Lavín & Alejandro Montecinos-Pearce & José Arenas, 2019. "Analyzing Stock Brokers’ Trading Patterns: A Network Decomposition and Spatial Econometrics Approach," Complexity, Hindawi, vol. 2019, pages 1-18, July.

  20. Benjamin Miranda Tabak & Daniel Oliveira Cajueiro & Marina V. B. Dias, 2014. "The Efficiency of Chinese Local Banks: A comparison of DEA and SFA," Working Papers Series 346, Central Bank of Brazil, Research Department.

    Cited by:

    1. S G Sisira Dharmasri Jayasekara & K L Wasantha Perera & A Roshan Ajward, 2018. "Fair Value Accounting Practices and Efficiency of Banks: A Theoretical Perspective," Accounting and Finance Research, Sciedu Press, vol. 7(4), pages 1-66, November.

  21. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.

    Cited by:

    1. Thiago Christiano Silva & Marcos Soares da Silva & Benjamin Miranda Tabak, 2015. "Liquidity Performance Evaluation of the Brazilian Interbank Market using a Network-Based Approach," Working Papers Series 401, Central Bank of Brazil, Research Department.

  22. Benjamin M. Tabak & Daniel O. Cajueiro & Marina V. B. Dias, 2014. "The Adequacy of Deterministic and Parametric Frontiers to Analyze the Efficiency of Indian Commercial Banks," Working Papers Series 350, Central Bank of Brazil, Research Department.

    Cited by:

    1. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    2. M.V. Leonov, 2021. "Review of Modern Approaches for Assessing the Effectiveness of Banking," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 294-326.

  23. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Andrés De Souza Penaloza & Rodrigo César De Castro Mirand, 2014. "Systemic Risk Measures," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 124, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Andrés de Souza Penaloza & Rodrigo César de Castro Miranda, 2013. "Systemic Risk Measures," Working Papers Series 321, Central Bank of Brazil, Research Department.

    Cited by:

    1. Juan Eberhard & Jaime F. Lavin & Alejandro Montecinos-Pearce, 2017. "A Network-Based Dynamic Analysis in an Equity Stock Market," Complexity, Hindawi, vol. 2017, pages 1-16, November.
    2. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    3. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    4. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    5. João Barata Ribeiro Blanco Barroso & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2016. "Systemic Risk-Taking Channel of Domestic and Foreign Monetary Policy," Working Papers Series 412, Central Bank of Brazil, Research Department.
    6. Jacob Kleinow & Tobias Nell, 2015. "Determinants of systemically important banks: the case of Europe," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 7(4), pages 446-476, November.
    7. Saidane, Dhafer & Sène, Babacar & Désiré Kanga, Kouamé, 2021. "Pan-African banks, banking interconnectivity: A new systemic risk measure in the WAEMU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    8. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    9. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.
    10. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    11. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    12. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    13. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    14. da Rosa München, Douglas, 2022. "The effect of financial distress on capital structure: The case of Brazilian banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 296-304.
    15. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).
    16. Chen, Naixi & Fan, Hong & Pang, Congyuan, 2024. "Contagion mechanism of liquidity risk in the interbank network," Economic Modelling, Elsevier, vol. 140(C).
    17. Juan Eberhard & Jaime F. Lavín & Alejandro Montecinos-Pearce & José Arenas, 2019. "Analyzing Stock Brokers’ Trading Patterns: A Network Decomposition and Spatial Econometrics Approach," Complexity, Hindawi, vol. 2019, pages 1-18, July.
    18. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

  24. Dimas M. Fazio & Benjamin M. Tabak & Daniel O. Cajueiro, 2014. "Inflation Targeting and Banking System Soundness: A Comprehensive Analysis," Working Papers Series 347, Central Bank of Brazil, Research Department.

    Cited by:

    1. Adel Bogari, 2020. "Revisiting the Nexus Between Inflation Targeting and the Build-Up of the Financial Imbalances," Applied Economics and Finance, Redfame publishing, vol. 7(2), pages 85-95, March.

  25. Rodrigo César de Castro Miranda & Benjamin Miranda Tabak, 2013. "Contagion Risk within Firm-Bank Bivariate Networks," Working Papers Series 322, Central Bank of Brazil, Research Department.

    Cited by:

    1. Li, Shouwei & Liu, Yifu & Wu, Chaoqun, 2020. "Systemic risk in bank-firm multiplex networks," Finance Research Letters, Elsevier, vol. 33(C).
    2. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    3. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    4. Stefano Battiston & Marco D'Errico & Stefano Gurciullo & Guido Caldarelli, 2015. "Leveraging the network: a stress-test framework based on DebtRank," Papers 1503.00621, arXiv.org, revised Feb 2016.
    5. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    7. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    8. Caceres-Santos, Jonnathan & Rodriguez-Martinez, Anahi & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2020. "Systemic risk and other interdependencies among banks in Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    9. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    10. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    11. Sebastian Poledna & Abraham Hinteregger & Stefan Thurner, 2018. "Identifying systemically important companies in the entire liability network of a small open economy," Papers 1801.10487, arXiv.org.
    12. Berndsen, Ron J. & León, Carlos & Renneboog, Luc, 2018. "Financial stability in networks of financial institutions and market infrastructures," Journal of Financial Stability, Elsevier, vol. 35(C), pages 120-135.
    13. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A microscopic foundation for shock propagation," Papers 1504.01857, arXiv.org, revised Jun 2015.
    14. Topalog̃lu Bozkurt, Ayça & Özyıldırım, Süheyla, 2025. "Firm commonality, bank connectedness and portfolio riskiness," International Review of Economics & Finance, Elsevier, vol. 97(C).

  26. Ioannis Pragidis & Periklis Gogas & Benjamin Tabak, 2013. "Asymmetric Effects of Monetary Policy in the U.S. and Brazil," Working Papers Series 340, Central Bank of Brazil, Research Department.

    Cited by:

    1. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," GRU Working Paper Series GRU_2017_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Bitros, George C., 2021. "Destabilizing asymmetries in central banking: With some enlightenment from money in classical Athens," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    3. Shodipe Oladimeji T. & Shobande Olatunji Abdul, 2021. "Monetary Policy Dynamics in the United States," Open Economics, De Gruyter, vol. 4(1), pages 14-30, January.
    4. Lau, Wee-Yeap & Yip, Tien-Ming, 2020. "How do monetary transmission channels influence inflation in the short and long run? Evidence from the QQE regime in Japan," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    5. Ajisafe, Rufus A. & Adesina, Kehinde E. & Okunade, Solomon O., . "Effects of Anticipated and Unanticipated Monetary Policy on Output in Nigeria," African Journal of Economic Review, African Journal of Economic Review, vol. 10(2).
    6. Douanla Tayo, Lionel, 2014. "Assessing the effect of monetary policy on economic growth in franc zone," MPRA Paper 60201, University Library of Munich, Germany.
    7. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).

  27. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.

    Cited by:

    1. Pece Andreea Maria & Mihut Ioana Sorina & Oros Olivera Ecaterina, 2014. "The Impact Of The Financial Crisis On Long Memory: Evidence From European Banking Indices," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 781-788, July.

  28. Sergio R. S. Souza & Benjamin M. Tabak & Solange M. Guerra, 2013. "Insolvency and Contagion in the Brazilian Interbank Market," Working Papers Series 320, Central Bank of Brazil, Research Department.

    Cited by:

    1. Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020. "Commercial and banking credit network in Uruguay," Documentos de trabajo 2020006, Banco Central del Uruguay.
    2. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    3. Huaming Du & Cancan Feng & Yuqian Lei & Chenyang Zhang & Guisong Liu & Gang Kou & Carl Yang & Yu Zhao, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective," Papers 2211.14997, arXiv.org, revised Mar 2026.
    4. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    5. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    6. Zhang, Ailian & Wang, Shuyao & Liu, Bai & Fu, Jingyuan, 2020. "How government regulation of interbank financing impacts risk for Chinese commercial banks," Journal of Asian Economics, Elsevier, vol. 66(C).
    7. David Aikman & Daniel Beale & Adam Brinley-Codd & Giovanni Covi & Anne‑Caroline Hüser & Caterina Lepore, 2023. "Macroprudential stress‑test models: a survey," Bank of England working papers 1037, Bank of England.
    8. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Monitoring Vulnerability and Impact Diffusion in Financial Networks," Working Papers Series 392, Central Bank of Brazil, Research Department.
    9. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    10. Qi, Ming & Zhang, Jiawei & Shi, Danyang & Feng, Shaoyi & Xu, Jing, 2025. "Systemic risk contagion and bailout effects in the global financial system," International Review of Economics & Finance, Elsevier, vol. 102(C).
    11. Arreola Hernandez, Jose & Kang, Sang Hoon & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2020. "Spillovers and diversification potential of bank equity returns from developed and emerging America," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    12. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    13. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    14. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    15. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    16. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    17. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    18. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    19. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    20. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    21. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    22. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    23. Ardekani, Aref Mahdavi & Distinguin, Isabelle & Tarazi, Amine, 2020. "Do banks change their liquidity ratios based on network characteristics?," European Journal of Operational Research, Elsevier, vol. 285(2), pages 789-803.

  29. Benjamin M. Tabak & Sergio R. S. Souza & Solange M. Guerra, 2013. "Assessing Systemic Risk in the Brazilian Interbank Market," Working Papers Series 318, Central Bank of Brazil, Research Department.

    Cited by:

    1. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    2. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    3. Sergio R. S. Souza & Benjamin M. Tabak & Solange M. Guerra, 2013. "Insolvency and Contagion in the Brazilian Interbank Market," Working Papers Series 320, Central Bank of Brazil, Research Department.
    4. Massimiliano Affinito & Alberto Franco Pozzolo, 2017. "The interbank network across the global financial crisis: evidence from Italy," Temi di discussione (Economic working papers) 1118, Bank of Italy, Economic Research and International Relations Area.
    5. Jacob Kleinow & Andreas Horsch & Mario Garcia-Molina, 2017. "Factors driving systemic risk of banks in Latin America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 211-234, April.
    6. Saibal Ghosh, 2016. "Capital Buffer, Credit Risk and Liquidity Behaviour: Evidence for GCC Banks," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(4), pages 539-569, December.
    7. Carlos León & Constanza Martínez & Freddy Cepeda, 2015. "Short-Term Liquidity Contagion in the Interbank Market," Borradores de Economia 920, Banco de la Republica de Colombia.
    8. Mananga, Pierre Nkou & Lin, Shiqiang & Zhang, Hairui, 2025. "A network approach to interbank contagion risk in South Africa," Journal of Financial Stability, Elsevier, vol. 77(C).
    9. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    10. Yoshi FUJIWARA & Masaaki TERAI & Yuji FUJITA & Wataru SOUMA, 2016. "DebtRank Analysis of Financial Distress Propagation on a Production Network in Japan," Discussion papers 16046, Research Institute of Economy, Trade and Industry (RIETI).
    11. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

  30. Solange Maria Guerra & Rodrigo Andrés de Souza Peñaloza & Benjamin Miranda Tabak, 2013. "Existência de equilíbrio num jogo com bancarrota e agentes heterogêneos," Working Papers Series 326, Central Bank of Brazil, Research Department.

    Cited by:

    1. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.

  31. Theophilos Papadimitriou & Periklis Gogas & Benjamin M. Tabak, 2013. "Complex Networks and Banking Systems Supervision," Working Papers Series 306, Central Bank of Brazil, Research Department.

    Cited by:

    1. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    2. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.
    3. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    4. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    5. Gogas, Periklis & Papadimitriou, Theophilos & Matthaiou, Maria-Artemis, 2016. "Bank supervision using the Threshold-Minimum Dominating Set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 23-35.
    6. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    7. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    8. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach," MPRA Paper 67223, University Library of Munich, Germany.
    9. Souza, Sergio R.S. & Tabak, Benjamin M. & Silva, Thiago C. & Guerra, Solange M., 2015. "Insolvency and contagion in the Brazilian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 140-151.
    10. Thiago C. Silva & Diego R. Amancio & Benjamin M. Tabak, 2020. "Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers," Papers 2001.06889, arXiv.org, revised Aug 2020.
    11. Rodrigo César de Castro Miranda & Benjamin Miranda Tabak, 2013. "Contagion Risk within Firm-Bank Bivariate Networks," Working Papers Series 322, Central Bank of Brazil, Research Department.
    12. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    13. Kocheturov, A. & Batsyn, M. & Pardalos, P., 2015. "Dynamics of Cluster Structures in Stock Market Networks," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 12-30.
    14. Zappa, Paola & Vu, Duy Q., 2021. "Markets as networks evolving step by step: Relational Event Models for the interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    15. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    16. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    17. Periklis Gogas & Theophilos Papadimitriou & Maria-Artemis Matthaiou, 2014. "A Novel Banking Supervision Method using the Minimum Dominating Set," Working Paper series 29_14, Rimini Centre for Economic Analysis.
    18. Apergis, Emmanuel & Apergis, Iraklis & Apergis, Nicholas, 2019. "A new macro stress testing approach for financial realignment in the Eurozone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 52-80.
    19. Barbi, A.Q. & Prataviera, G.A., 2019. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 876-885.
    20. Kamal, Md Mostafa & Roca, Eduardo & Li, Bin & Lin, Chen & Reza, Rajibur, 2025. "Price contagion and risk spillover in the global commodities market: COVID-19 pandemic vs. global financial crisis," Resources Policy, Elsevier, vol. 103(C).
    21. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

  32. Glener de Almeida Dourado & Benjamin Miranda Tabak, 2013. "Teste da Hipótese de Mercados Adaptativos para o Brasil," Working Papers Series 325, Central Bank of Brazil, Research Department.

    Cited by:

    1. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.

  33. Rodrigo César de Castro Miranda & Benjamin Miranda Tabak & Mauricio Medeiros Junior, 2012. "Contagion in CDS, Banking and Equity Markets," Working Papers Series 293, Central Bank of Brazil, Research Department.

    Cited by:

    1. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
    2. Ștefan Cristian Gherghina & Asuman Erben Yavuz & Bade Ekim Kocaman & Adalet Hazar & Şenol Babuşcu & Mesut Doğan, 2026. "Navigating the pandemic storm: how oil volatility, CDS, and the fear index altered BRICS markets," Future Business Journal, Springer, vol. 12(1), pages 1-19, December.
    3. Tabak, Benjamin Miranda & Silva, Igor Bettanin Dalla Riva e & Silva, Thiago Christiano, 2022. "Analysis of connectivity between the world’s banking markets: The COVID-19 global pandemic shock," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 324-336.
    4. Ana Escribano & Cristina Íñiguez, 2021. "The contagion phenomena of the Brexit process on main stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4462-4481, July.
    5. Niţoi, Mihai & Pochea, Maria Miruna, 2019. "What drives European Union stock market co-movements?," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 57-69.
    6. amri amamou, souhir & hellara, slaheddine, 2021. "The dynamic relationship between the sovereign CDS market and the Eurozone sovereign bond market (classified by maturity): Contagion or Spillovers?," MPRA Paper 109038, University Library of Munich, Germany.
    7. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    8. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    9. Tzomakas, Christos, 2024. "Financial contagion dynamics from the US to the PIIGS amidst the global financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
    10. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    11. Wang, Gang-Jin & Xie, Chi & Lin, Min & Stanley, H. Eugene, 2017. "Stock market contagion during the global financial crisis: A multiscale approach," Finance Research Letters, Elsevier, vol. 22(C), pages 163-168.
    12. Pengxiang Zhai & Fei Wu & Qiang Ji & Duc Khuong Nguyen, 2024. "From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 551-580, January.
    13. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    14. Theophilos Papadimitriou & Periklis Gogas & Benjamin M. Tabak, 2013. "Complex Networks and Banking Systems Supervision," Working Papers Series 306, Central Bank of Brazil, Research Department.
    15. Nekhili, Ramzi & Foglia, Matteo & Bouri, Elie, 2023. "European bank credit risk transmission during the credit Suisse collapse," Finance Research Letters, Elsevier, vol. 58(PB).
    16. Sun, Xiaolei & Wang, Jun & Yao, Yanzhen & Li, Jingyu & Li, Jianping, 2020. "Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective," International Review of Financial Analysis, Elsevier, vol. 68(C).
    17. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    18. Sawsen Bouker & Faysal Mansouri, 2022. "Sovereign contagion risk measure across financial markets in the eurozone: a bivariate copulas and Markov Regime Switching ARMA based approaches," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 615-711, May.
    19. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.
    20. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2017. "Directional and bidirectional causality between U.S. industry credit and stock markets and their determinants," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 46-61.
    21. Saker Sabkha & Christian de Peretti & Dorra Hmaied, 2018. "The Credit Default Swap market contagion during recent crises: International evidence," Post-Print hal-01572510, HAL.
    22. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.
    23. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
    24. Prayer M. Rikhotso & Beatrice D. Simo-Kengne, 2022. "Dependence Structures between Sovereign Credit Default Swaps and Global Risk Factors in BRICS Countries," JRFM, MDPI, vol. 15(3), pages 1-22, February.
    25. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.

  34. Benjamin Miranda Tabak & Guilherme Maia Rodrigues Gomes & Maurício da Silva Medeiros Júnior, 2012. "The Impact of Market Power at Bank Level in Risk-taking: the Brazilian case," Working Papers Series 283, Central Bank of Brazil, Research Department.

    Cited by:

    1. Wang, Haibo & Sua, Lutfu & Dolar, Burak, 2023. "CAMELs-DEA in Assessing the Role of Major Factors in Achieving Higher Efficiency Levels: Evidence from Turkish Banks," SocArXiv qx59v, Center for Open Science.
    2. Faisal Mehmood Mirza & Olvar Bergland & Isma Khatoon, 2016. "Measuring the degree of competition in Pakistan’s banking industry: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 48(53), pages 5138-5151, November.
    3. Phan, Hien Thu & Anwar, Sajid & Alexander, W. Robert J. & Phan, Hanh Thi My, 2019. "Competition, efficiency and stability: An empirical study of East Asian commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Juan Carlos CUESTAS & Yannick LUCOTTE & Nicolas REIGL, 2019. "Banking sector concentration, competition and financial stability: the case of the Baltic countries," LEO Working Papers / DR LEO 2731, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    5. Saif-Alyousfi, Abdulazeez Y.H. & Saha, Asish & Md-Rus, Rohani, 2020. "The impact of bank competition and concentration on bank risk-taking behavior and stability: Evidence from GCC countries," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    6. Karadima, Maria & Louri, Helen, 2020. "Non-performing loans in the euro area: Does bank market power matter?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    7. Seyed Alireza Athari & Farid Irani, 2022. "Does the country’s political and economic risks trigger risk-taking behavior in the banking sector: a new insight from regional study," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-10, December.
    8. José Angelo Divino & Renan Said Silva, 2017. "Banking competition in the Brazilian economy [Banking competition in the Brazilian economy]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(3), pages 393-419, September.
    9. de Moraes, Claudio Oliveira & Costa, Ágata, 2023. "Credit behavior and financial stability in an emerging economy," Economic Systems, Elsevier, vol. 47(2).
    10. Douglas A. Adu, 2024. "How do board and ownership characteristics affect bank risk-taking? New evidence from sub-Saharan Africa," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(3), pages 209-233, September.
    11. Brana, Sophie & Campmas, Alexandra & Lapteacru, Ion, 2019. "(Un)Conventional monetary policy and bank risk-taking: A nonlinear relationship," Economic Modelling, Elsevier, vol. 81(C), pages 576-593.
    12. Douglas A. Adu, 2022. "Competition and bank risk-taking in Sub-Saharan Africa countries," SN Business & Economics, Springer, vol. 2(7), pages 1-26, July.
    13. Jagjeevan Kanoujiya & Venkata Mrudula Bhimavarapu & Shailesh Rastogi, 2023. "Banks in India: A Balancing Act Between Profitability, Regulation and NPA," Vision, , vol. 27(5), pages 650-660, November.
    14. Ferdaous Bahri & Taher Hamza, 2020. "The Impact of Market Power on Bank Risk-Taking: an Empirical Investigation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1198-1233, September.
    15. Shailesh Rastogi & Rajani Gupte & R. Meenakshi, 2021. "A Holistic Perspective on Bank Performance Using Regulation, Profitability, and Risk-Taking with a View on Ownership Concentration," JRFM, MDPI, vol. 14(3), pages 1-22, March.
    16. Tamayo, Cesar E. & Gomez, Jose E. & Valencia, Oscar, 2019. "Bank Market Power and Firm Finance: Evidence from Bank and Loan Level Data," Working papers 20, Red Investigadores de Economía.
    17. Siddharth Jain & Partha Gangopadhyay, 2020. "Impacts of Endogenous Sunk-Cost Investment on the Islamic Banking Industry: A Historical Analysis," JRFM, MDPI, vol. 13(6), pages 1-23, May.
    18. Paulo Roberto Scalco & Benjamin M. Tabak & Anderson Mutter Teixeira, 2019. "The Dark Side of Prudential Measures," Working papers - Textos para Discussao do Curso de Ciencias Economicas da UFG 078, Curso de Ciencias Economicas da Universidade Federal de Goias - FACE.
    19. Ibrahim, Mansor H. & Rizvi, Syed Aun R., 2017. "Do we need bigger Islamic banks? An assessment of bank stability," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 77-91.
    20. Dilawar Ahmad Bhat & Himanshu Seth & Shahida Rasheed & Irshad Ahmad Malik, 2025. "Testing SCP hypothesis amid growing consolidation in the Indian banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 14(1), pages 1-16, December.
    21. Emmanuel C. Mamatzakis & Anh N. Vu, 2018. "The interplay between quantitative easing, risk and competition: The case of Japanese banking," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 27(1), pages 3-46, February.
    22. Wang, Xiaodong & Han, Liang & Huang, Xing, 2020. "Bank competition, concentration and EU SME cost of debt," International Review of Financial Analysis, Elsevier, vol. 71(C).
    23. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.
    24. Cañón, Carlos & Cortés, Edgar & Guerrero, Rodolfo, 2022. "Bank competition and the price of credit: Evidence using Mexican loan-level data," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 56-74.
    25. Muhammad Suhail Rizwan & Muhammad Moinuddin & Barbara L’Huillier & Dawood Ashraf, 2018. "Does a one-size-fits-all approach to financial regulations alleviate default risk? The case of dual banking systems," Journal of Regulatory Economics, Springer, vol. 53(1), pages 37-74, February.
    26. Adeabah, David & Andoh, Charles, 2019. "Cost efficiency and welfare performance of banks: Evidence from an emerging economy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(5), pages 549-574.
    27. Rim Ben Abdesslem & Halim Dabbou & Mohamed Imen Gallali, 2023. "The Impact of Market Concentration on Bank Risk-Taking: Evidence from a Panel Threshold Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4170-4194, December.
    28. Abaab, Malek & Drira, Mohamed & Helali, Kamel, 2025. "Regime-switching model estimates the impact of bank liquidity on bank performance across G20 countries: a moderate role for solvency, total loans, and total debt," The Journal of Economic Asymmetries, Elsevier, vol. 32(C).
    29. Scalco, Paulo R. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "Prudential measures and their adverse effects on bank competition: The case of Brazil," Economic Modelling, Elsevier, vol. 100(C).

  35. Benjamin M. Tabak & Rogério B. Miranda & Dimas M. Fazio, 2012. "A Geographically Weighted Approach in Measuring Efficiency in Panel Data: the Case of US Saving Banks," Working Papers Series 275, Central Bank of Brazil, Research Department.

    Cited by:

    1. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    2. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
    3. Leire San-Jose & Jose Luis Retolaza & Eric Lamarque, 2018. "The Social Efficiency for Sustainability: European Cooperative Banking Analysis," Post-Print hal-02536203, HAL.
    4. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    5. Glass, Anthony J. & Kenjegalieva, Karligash & Weyman-Jones, Thomas, 2020. "The effect of monetary policy on bank competition using the Boone index," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1070-1087.
    6. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    7. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    8. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    9. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    10. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
    11. Xiaoping Zhou & Zhenyang Qin & Yingjie Zhang & Linyi Zhao & Yan Song, 2019. "Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    12. Johann Burgstaller, 2020. "Retail‐bank efficiency: Nonstandard goals and environmental determinants," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(2), pages 269-301, June.
    13. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.
    14. Tri Rahayu, Siti Aisyah & Mulyaningsih, Tri & Cahyadin, Malik, 2019. "Determinants of Credit Market in Indonesian Banking Industry," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 11-21.
    15. Chen, Ting-Hsuan & Lee, Chien-Chiang, 2020. "Spatial analysis of liquidity risk in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    17. Zhao, Bingquan & Tian, Yuan & Kenjegalieva, Karligash & Wood, Justine, 2024. "Measuring the productivity of urban commercial banks in China," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 477-489.

  36. Benjamin M. Tabak & Solange M. Guerra & Rodrigo C. Miranda & Sergio Rubens S. de Souza, 2012. "Teste de Estresse para Risco de Liquidez: o caso do sistema bancário brasileiro," Working Papers Series 302, Central Bank of Brazil, Research Department.

    Cited by:

    1. Aditya Anta Taruna & Cicilia Anggadewi Harun & Raquela Renanda Nattan, 2020. "Macroprudential Liquidity Stress Test: An Application to Indonesian Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 165-187.
    2. Theophilos Papadimitriou & Periklis Gogas & Benjamin M. Tabak, 2013. "Complex Networks and Banking Systems Supervision," Working Papers Series 306, Central Bank of Brazil, Research Department.
    3. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.

  37. Benjamin M. Tabak & Daniel O. Cajueiro & Alexandre B. Sollaci, 2011. "Forecasting the Yield Curve for the Euro Region," Working Papers Series 247, Central Bank of Brazil, Research Department.

    Cited by:

    1. Feng, Pan & Qian, Junhui, 2018. "Forecasting the yield curve using a dynamic natural cubic spline model," Economics Letters, Elsevier, vol. 168(C), pages 73-76.

  38. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "The Relationship Between Banking Market Competition and Risk-taking: Do Size and Capitalization Matter?," Working Papers Series 261, Central Bank of Brazil, Research Department.

    Cited by:

    1. Adalgiso AMENDOLA & Cristian BARRA & Marinella BOCCIA & Anna PAPACCIO, 2018. "Market Structure and Financial Stability: Theory and Evidence," CELPE Discussion Papers 156, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
    2. Sääskilahti, Jaakko, 2016. "Local bank competition and small business lending after the onset of the financial crisis," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 37-51.
    3. Huayta, Katia & Garcia, Antonella & Sotomayor, Narda, 2018. "Competitive Environment and Financial Stability in the Peruvian Microfinance System," Working Papers 2018-005, Banco Central de Reserva del Perú.
    4. Mikhail Mamonov & Christopher Parmeter & Artem Prokhorov, 2024. "Bank Cost Efficiency and Credit Market Structure Under a Volatile Exchange Rate," Papers 2408.05688, arXiv.org.
    5. Shabir, Mohsin & Jiang, Ping & Shahab, Yasir & Wang, Wenhao & Işık, Özcan & Mehroush, Iqra, 2024. "Diversification and bank stability: Role of political instability and climate risk," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 63-92.
    6. Bátiz-Zuk, Enrique & Lara-Sánchez, José Luis, 2022. "Measuring the evolution of competition and the impact of the financial reform in the Mexican banking sector, 2008–2019," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. Bátiz-Zuk Enrique & Lara Sánchez José Luis, 2021. "Revisiting the link between systemic risk and competition based on network theory and interbank exposures," Working Papers 2021-26, Banco de México.
    8. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
    9. Liao, Chang-Sheng, 2023. "Deregulation, bank efficiency and economic cooperation across China–Taiwan Strait," Journal of Policy Modeling, Elsevier, vol. 45(2), pages 430-444.
    10. Miguel Sarmiento & Jorge Cely & Carlos León, 2015. "Monitoring the Unsecured Interbank Funds Market," Borradores de Economia 917, Banco de la Republica de Colombia.
    11. Shaofang Li, 2021. "Quality of Bank Capital, Competition, and Risk-Taking: Some International Evidence," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3455-3488, September.
    12. Shabir, Mohsin & Jiang, Ping & Shahab, Yasir & Wang, Peng, 2023. "Geopolitical, economic uncertainty and bank risk: Do CEO power and board strength matter?," International Review of Financial Analysis, Elsevier, vol. 87(C).
    13. Cristian Barra & Nazzareno Ruggiero, 2022. "Bank-specific factors and credit risk: evidence from Italian banks in different local markets," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 31(3), pages 316-350, October.
    14. Jingya Li & Ming-Hua Liu, 2019. "Interest rate liberalization and pass-through of monetary policy rate to bank lending rates in China," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-19, December.
    15. Ion Lapteacru, 2016. "Convergence of bank competition in Central and Eastern European countries: Does ownership matter?," Working Papers hal-01301853, HAL.
    16. Joseph Olorunfemi Akande & Farai Kwenda, 2017. "Does Competition Cause Stability in Banks? SFA and GMM Application to Sub-Saharan Africa Commercial Banks," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 173-186.
    17. Khurshid Djalilov & Christopher A. Hartwell, 2023. "The spirit is willing, but the institutions are weak: disclosure of corporate social responsibility and the financial sector in transition," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 385-427, June.
    18. Phan, Hien Thu & Anwar, Sajid & Alexander, W. Robert J. & Phan, Hanh Thi My, 2019. "Competition, efficiency and stability: An empirical study of East Asian commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    19. Alphonse Noah & Luc Jacolin & Michael Brei, 2018. "Credit Risk And Bank Competition In Sub-Saharan Africa," EconomiX Working Papers 2018-27, University of Paris Nanterre, EconomiX.
    20. Mohamed Albaity & Ray Saadaoui Mallek & Hussein A. Hassan Al‐Tamimi & Abu Hanifa Md. Noman, 2021. "Does competition lead to financial stability or financial fragility for Islamic and conventional banks? Evidence from the GCC countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4706-4722, July.
    21. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    22. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.
    23. Matabaro Borauzima, Luc & Muller, Aline, 2023. "Bank risk-taking and competition in developing banking markets: Does efficiency level matter? Evidence from Africa," Emerging Markets Review, Elsevier, vol. 55(C).
    24. Rishika Khetan & Varda Sardana & Shubham Singhania & Jagvinder Singh, 2025. "Financial stability through a global perspective: an in-depth integrative review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(8), pages 2912-2929, August.
    25. Lapteacru, Ion, 2017. "Market power and risk of Central and Eastern European banks: Does more powerful mean safer?," Economic Modelling, Elsevier, vol. 63(C), pages 46-59.
    26. Juan Carlos CUESTAS & Yannick LUCOTTE & Nicolas REIGL, 2019. "Banking sector concentration, competition and financial stability: the case of the Baltic countries," LEO Working Papers / DR LEO 2731, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    27. Ma³gorzata Olszak & Iwona Kowalska, 2021. "Do competition and market structure matter for sensitivity of bank profitability to business cycle?," Faculty of Management Working Paper Series 12021, University of Warsaw, Faculty of Management.
    28. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2020. "Economic uncertainty and bank risk: Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    29. Emmanuel C. Mamatzakis & Anh N. Vu, 2017. "The interplay between quantitative easing and risk: the case of the Japanese banking," Working Papers 226, Bank of Greece.
    30. Abu Hanifa Md Noman & Chan Sok Gee & Che Ruhana Isa, 2017. "Does competition improve financial stability of the banking sector in ASEAN countries? An empirical analysis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-27, May.
    31. Diallo, Boubacar & Zhang, Qi, 2017. "Bank concentration and sectoral growth: Evidence from Chinese provinces," Economics Letters, Elsevier, vol. 154(C), pages 77-80.
    32. González, Luis Otero & Razia, Alaa & Búa, Milagros Vivel & Sestayo, Rubén Lado, 2017. "Competition, concentration and risk taking in Banking sector of MENA countries," Research in International Business and Finance, Elsevier, vol. 42(C), pages 591-604.
    33. Afsana Yesmin, 2018. "Do competition and development indicators heterogeneously affect risk and capital? Evidence from Asian banks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-18, September.
    34. Ben Bouheni, Faten & Hasnaoui, Amir, 2017. "Cyclical behavior of the financial stability of eurozone commercial banks," Economic Modelling, Elsevier, vol. 67(C), pages 392-408.
    35. Miroslav Mateev & Muhammad Usman Tariq & Ahmad Sahyouni, 2023. "Efficiency, market concentration and bank performance during the COVID-19 outbreak: Evidence from the MENA region," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-34, May.
    36. Kanga, Désiré & Murinde, Victor & Soumaré, Issouf, 2021. "How has the rise of Pan-African banks impacted bank stability in WAEMU?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    37. Prakash Singh & Sukriti Kumar, 2018. "Risks in banks and its impact on volatility of market returns: an empirical approach," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 17(2), pages 125-138.
    38. Olszak, Małgorzata & Kowalska, Iwona, 2022. "Does bank competition matter for the effects of macroprudential policy on the procyclicality of lending?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    39. Risfandy, Tastaftiyan & Tarazi, Amine & Trinugroho, Irwan, 2022. "Competition in dual markets: Implications for banking system stability," Global Finance Journal, Elsevier, vol. 52(C).
    40. Haq, Mamiza & Tripe, David & Seth, Rama, 2022. "Do traditional off-balance sheet exposures increase bank risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    41. Patrick Hertrampf & Thomas M. Brunner-Kirchmair & Martin R. W. Hiebl & Arnd Wiedemann, 2025. "The Relationship Between CEO Characteristics and Banks’ Risk-Taking: Review and Research Directions [Die Beziehung zwischen CEO-Charakteristika und der Risikobereitschaft von Banken: Literaturüberblick und Forschungsperspektiven]," Schmalenbach Journal of Business Research, Springer, vol. 77(1), pages 127-178, March.
    42. Louhichi, Awatef & Louati, Salma & Boujelbene, Younes, 2020. "The regulations–risk taking nexus under competitive pressure: What about the Islamic banking system?," Research in International Business and Finance, Elsevier, vol. 51(C).
    43. Karadima, Maria & Louri, Helen, 2020. "Non-performing loans in the euro area: Does bank market power matter?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    44. Jorge Andrés Munoz Mendoza & Sandra Mar�a Sep�lveda-Yelpo & Carmen Lissette Veloso-Ramos & Carlos Leandro Delgado-Fuentealba, 2020. "Market Concentration and Income Diversification: Do They Always Promote the Financial Stability of Banking Industry?," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 12(2), pages 341-365.
    45. Bang Jeon & Ji Wu & Minghua Chen & Rui Wang, 2016. "Do foreign banks take more risk? Evidence from emerging economies," School of Economics Working Paper Series 2016-4, LeBow College of Business, Drexel University.
    46. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    47. Md. Abdul Halim & Syed Moudud-Ul-Huq & Farid Ahammad Sobhani & Ziaul Karim & Zinnatun Nesa, 2023. "The Nexus of Banks’ Competition, Ownership Structure, and Economic Growth on Credit Risk and Financial Stability," Economies, MDPI, vol. 11(8), pages 1-18, July.
    48. Jirawan Prayoonrattana & Thanarak Laosuthi & Bundit Chaivichayachat, 2020. "Empirical Measurement of Competition in the Thai Banking Industry," Economies, MDPI, vol. 8(2), pages 1-20, June.
    49. Ghulam, Yaseen, 2021. "Institutions and firms’ technological changes and productivity growth," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    50. Mamonov, M., 2017. "The Regulation of Banks' Access to Credit Market under Imperfect Competition: the Effects on Banking System Stability Estimated," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 44-74.
    51. Anisa Arizona Bandi, 2022. "The Role of Self Leadership for Employees in Implementing Work From Home (WFH) During the COVID 19 Pandemic," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 520-529, April.
    52. Schulte, Markus & Winkler, Adalbert, 2019. "Drivers of solvency risk – Are microfinance institutions different?," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 403-426.
    53. João Amador & Ana Cristina Soares, 2018. "Competition in the Portuguese economy: insights from a profit elasticity approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 339-365, May.
    54. Son, Jaemin & Ryu, Doojin, 2024. "Competitive dynamics between decentralized and centralized finance lending markets," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    55. Joseph Olorunfemi Akande & Farai Kwenda, 2017. "Competition and Stability of Sub-Saharan African Commercial Banks; a GMM Analysis," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 122-138, April.
    56. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    57. Maria Karadima & Helen Louri, 2019. "Non-performing loans in the euro area: does market power matter?," Working Papers 271, Bank of Greece.
    58. Bing Xu & Adrian Van Rixtel & Michiel Van Leuvensteijn, 2013. "Measuring bank competition in China: a comparison of new versus conventional approaches applied to loan markets," BIS Working Papers 422, Bank for International Settlements.
    59. Kabir, Md. Nurul & Worthington, Andrew C., 2017. "The ‘competition–stability/fragility’ nexus: A comparative analysis of Islamic and conventional banks," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 111-128.
    60. Elisabete Nogueira & Sofia Gomes & João M. Lopes, 2022. "The Key to Sustainable Economic Development: A Triple Bottom Line Approach," Resources, MDPI, vol. 11(5), pages 1-18, May.
    61. Francesco Marchionne & Alberto Zazzaro, 2018. "Risk and competitiveness in the Italian banking sector," Economics Bulletin, AccessEcon, vol. 38(1), pages 271-280.
    62. Al-Shboul, Mohammad & Maghyereh, Aktham & Hassan, Abul & Molyneux, Phillip, 2020. "Political risk and bank stability in the Middle East and North Africa region," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    63. Huang, Sijia & Wang, Ying & Liang, Yinuo & Fu, Rao & Chen, Guorong, 2025. "Impact and transmission mechanism of China’s climate policy uncertainty on bank risk-taking," Energy Economics, Elsevier, vol. 143(C).
    64. Annick Pamen Nyola & Alain Sauviat & Amine Tarazi, 2022. "How does regulation affect the organizational form of foreign banks' presence in developing versus developed countries?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2367-2419, April.
    65. Mikhail Mamonov, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.
    66. Anupam Das Gupta & Syed Moudud-Ul-Huq, 2020. "Do competition and revenue diversification have significant effect on risk-taking? Empirical evidence from BRICS banks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-28, March.
    67. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    68. Cheng, Maoyong & Qu, Yang, 2023. "The false prosperity and promising future: Effects of data resources on bank efficiency," International Review of Financial Analysis, Elsevier, vol. 89(C).
    69. Yong Tan, 2020. "Competition and Profitability in the Chinese Banking Industry: New Evidence from Different Ownership Types," Journal of Industry, Competition and Trade, Springer, vol. 20(3), pages 503-526, September.
    70. E Philip Davis & D Karim, 2014. "Exploring the Short- and Long-Run Links from Bank Competition to Risk – Reconciling Conflicting Hypotheses?," National Institute of Economic and Social Research (NIESR) Discussion Papers 421, National Institute of Economic and Social Research.
    71. Barra, Cristian & Ruggiero, Nazzareno, 2021. "Do microeconomic and macroeconomic factors influence Italian bank credit risk in different local markets? Evidence from cooperative and non-cooperative banks," Journal of Economics and Business, Elsevier, vol. 114(C).
    72. Ka Kei Chan & E. Philip Davis & Dilruba Karim, 2024. "Macroprudential policy, bank competition and bank risk in East Asia," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(3), pages 326-358, September.
    73. Benjamin Hippert & André Uhde & Sascha Tobias Wengerek, 2019. "Determinants of CDS trading on major banks," Working Papers Dissertations 51, Paderborn University, Faculty of Business Administration and Economics.
    74. Md Mohiuddin Chowdhury & Changjun Zheng & Anupam Das Gupta & Atta Ullah, 2024. "Competition's Effect: Unveiling the Simultaneous Relationship between Risk and Cost of Financial Intermediation," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(5), pages 1-4.
    75. Mateev, Miroslav & Moudud-Ul-Huq, Syed & Sahyouni, Ahmad & Tariq, Muhammad Usman, 2022. "Capital regulation, competition and risk-taking: Policy implications for banking sector stability in the MENA region," Research in International Business and Finance, Elsevier, vol. 60(C).
    76. Cai, Khoa & Le, Minh & Vo, Hong, 2019. "The cost of being safer in banking: Market power loss," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 116-130.
    77. Florian Leon, 2015. "What do we know about the role of bank competition in Africa?," Working Papers halshs-01164864, HAL.
    78. De Bonis, Riccardo & Marinelli, Giuseppe & Vercelli, Francesco, 2018. "Playing yo-yo with bank competition: New evidence from 1890 to 2014," Explorations in Economic History, Elsevier, vol. 67(C), pages 134-151.
    79. Ferdaous Bahri & Taher Hamza, 2020. "The Impact of Market Power on Bank Risk-Taking: an Empirical Investigation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1198-1233, September.
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    81. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
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    30. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    31. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.
    32. Demir, Müge & Önder, Zeynep, 2019. "Financial connectivity and excessive liquidity: Benefit or risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 203-221.
    33. Rivera-Castro, Miguel A. & Ugolini, Andrea & Arismendi Zambrano, Juan, 2018. "Tail systemic risk and contagion: Evidence from the Brazilian and Latin America banking network," Emerging Markets Review, Elsevier, vol. 35(C), pages 164-189.
    34. Minoiu, Camelia & Reyes, Javier A., 2013. "A network analysis of global banking: 1978–2010," Journal of Financial Stability, Elsevier, vol. 9(2), pages 168-184.
    35. Masahiko Sugimura & Keiichiro Yamamura & Hiroki Ishikura & Akihiro Yoshida & Ken Kawano & Matthieu Parizy & Katsuki Fujisawa, 2026. "Automated Tabu Tenure Tuning by Trajectory Metrics for Quadratic Unconstrained Binary Optimization," Journal of Heuristics, Springer, vol. 32(1), pages 1-52, March.
    36. Clemente, G.P. & Grassi, R., 2018. "Directed clustering in weighted networks: A new perspective," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 26-38.
    37. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    38. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.
    39. Kocheturov, A. & Batsyn, M. & Pardalos, P., 2015. "Dynamics of Cluster Structures in Stock Market Networks," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 12-30.
    40. Alexandre, Michel & Silva, Thiago Christiano & Michalak, Krzysztof & Rodrigues, Francisco Aparecido, 2023. "Does the default pecking order impact systemic risk? Evidence from Brazilian data," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1379-1391.
    41. Zappa, Paola & Vu, Duy Q., 2021. "Markets as networks evolving step by step: Relational Event Models for the interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    42. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    43. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    44. Li, Yuelei & Hao, Aiting & Zhang, Xiaotao & Xiong, Xiong, 2018. "Network topology and systemic risk in Peer-to-Peer lending market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 118-130.
    45. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    46. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Papers 1408.1728, arXiv.org, revised Aug 2014.
    47. Luu, Duc Thi & Lux, Thomas & Yanovski, Boyan, 2017. "Structural correlations in the Italian overnight money market: An analysis based on network configuration models," Economics Working Papers 2017-02, Christian-Albrechts-University of Kiel, Department of Economics.
    48. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).
    49. Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk & Tabak, Benjamin M., 2017. "Not all emerging markets are the same: A classification approach with correlation based networks," Journal of Financial Stability, Elsevier, vol. 33(C), pages 163-186.
    50. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    51. Miyakoshi, Tatsuyoshi & Shimada, Junji & Li, Kui-Wai, 2023. "A network analysis on country and financial center attractiveness: Evidence from Asian economies, 2001–2018," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 418-432.
    52. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.

  40. Ana Clara Bueno Teixeira Feitosa Noronha & Daniel Oliveira Cajueiro & Benjamin Miranda Tabak, 2011. "Bank Capital Buffers, Lending Growth Andeconomic Cycle: Empirical Evidence For Brazil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 035, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Ben Maatoug, Abderrazek & Ben Ayed, Wassim & Ftiti, Zied, 2019. "Are MENA banks’ capital buffers countercyclical? Evidence from the Islamic and conventional banking systems," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 109-118.
    2. Karmakar, Sudipto & Mok, Junghwan, 2013. "Bank Capital and Lending: An Analysis of Commercial Banks in the United States," MPRA Paper 52173, University Library of Munich, Germany.
    3. Enkhbaatar Oyungerel & Urangoo Erdenebileg, 2025. "Technical Development of Countercyclical Capital Buffer Implementation in Mongolia's Banking Sector," IHEID Working Papers 10-2025, Economics Section, The Graduate Institute of International Studies.
    4. Óscar Alfonso Carvallo-Valencia & Leslie A. Jiménez, 2018. "Bank Capital Buffers and Procyclicality in Latin America," Investigación Conjunta-Joint Research, in: Alberto Ortiz-Bolaños (ed.), Monetary Policy and Financial Stability in Latin America and the Caribbean, edition 1, volume 1, chapter 5, pages 133-158, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    5. Carvallo, Oscar & Kasman, Adnan, 2017. "Convergence in bank performance: Evidence from Latin American banking," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 127-142.
    6. Alberto Montagnoli & Konstantinos Mouratidis & Kemar Whyte, 2018. "Assessing the Cyclical Behaviour of Bank Capital Buyers in a Finance-Augmented Macro-Economy," Working Papers 2018003, The University of Sheffield, Department of Economics.
    7. Boutheina Bannour & Asma Sghaier & Mohammad Nurunnabi, 2020. "How to Choose a Nonparametric Frontier Model? Technical Efficiency of Turkish Banks Assessing Global," Global Business Review, International Management Institute, vol. 21(2), pages 348-364, April.
    8. Faisal Abbas & Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2021. "Bank Capital Buffer and Economic Growth: New Insights from the US Banking Sector," JRFM, MDPI, vol. 14(4), pages 1-13, March.
    9. Sine KONTBAY BUSUN & Adnan KASMAN, 2015. "A Note on Bank Capital Buffer, Portfolio Risk and Business Cycle," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 15(1), pages 1-7.
    10. Romila Qamar & Shahid Mansoor Hashmi & Mughees Tahir Bhalli, 2016. "Are Basel Capital Standards Implemented Successfully in Pakistan?," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 19(62), pages 119-152, December.
    11. Daher, Hassan & Masih, Mansur & Ibrahim, Mansor, 2015. "The unique risk exposures of Islamic banks’ capital buffers: A dynamic panel data analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 36-52.
    12. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018, January-A.
    13. Samina RIAZ & Venus Khim-Sen LIEW & Rossazana Bt Ab RAHIM, 2019. "The Impact of Business Cycle on Pakistani Banks Capital Buffer and Portfolio Risk," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 57-71, March.
    14. Carvallo Valencia, Oscar & Ortiz Bolaños, Alberto, 2018. "Bank capital buffers around the world: Cyclical patterns and the effect of market power," Journal of Financial Stability, Elsevier, vol. 38(C), pages 119-131.
    15. Huang, Xian & Xiong, Qiyue, 2015. "Bank capital buffer decisions under macroeconomic fluctuations: Evidence for the banking industry of China," International Review of Economics & Finance, Elsevier, vol. 36(C), pages 30-39.
    16. Mohamed Trabelsi & Ibrahim Elbadawi & Dhuha Fadhel, 2015. "Bank's Capital Buffers and Business Cycle: Evidence from GCC Countries. 2004-2011," Working Papers 925, Economic Research Forum, revised Jul 2015.
    17. Montes, Gabriel Caldas & Peixoto, Gabriel Barros Tavares, 2014. "Risk-taking channel, bank lending channel and the “paradox of credibility”," Economic Modelling, Elsevier, vol. 39(C), pages 82-94.
    18. Saadaoui Zied, 2015. "The Cyclical Behaviour of Bank Capital Buffers: An Empirical Evidence for MENA Banking Systems," Review of Middle East Economics and Finance, De Gruyter, vol. 11(2), pages 145-182, August.
    19. de Moraes, Claudio Oliveira & Montes, Gabriel Caldas & Antunes, José Américo Pereira, 2016. "How does capital regulation react to monetary policy? New evidence on the risk-taking channel," Economic Modelling, Elsevier, vol. 56(C), pages 177-186.
    20. Khurram Iftikhar & Syed Faizan Iftikhar, 2018. "The impact of business cycle on capital buffer during the period of Basel-II and Basel-III: Evidence from the Pakistani banks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-20, December.
    21. José Américo Pereira Antunes & Claudio Oliveira De Moraes & Gabriel Caldas Montes, 2016. "Bank Regulatory Capital, Risk-Taking Channel And Monetary Policy: Evidence From An Inflation Targeting Emerging Economy," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 042, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    22. Gabriel Barros Tavares Peixoto & Gabriel Caldas Montes, 2014. "Risk-Taking Channel, Bank Lendingchannel And The “Paradox Of Credibility”: Empirical Evidence For Brazil," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 030, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    23. Tang, Ying & Li, Zhiyong & Chen, Jing & Deng, Chao, 2021. "Liquidity creation cyclicality, capital regulation and interbank credit: Evidence from Chinese commercial banks," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    24. Hans Degryse & Sanja Jakovljević & Steven Ongena, 2015. "A Review of Empirical Research on the Design and Impact of Regulation in the Banking Sector," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 423-443, December.
    25. Coffinet, Jérôme & Coudert, Virginie & Pop, Adrian & Pouvelle, Cyril, 2012. "Two-way interplays between capital buffers and credit growth: Evidence from French banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1110-1125.
    26. Fernando da Silva Vinhado & José Angelo Divino, 2015. "Monetary and Macroprudential Policies: Empirical Evidences from Panel-VAR," Brazilian Review of Finance, Brazilian Society of Finance, vol. 13(4), pages 691-731.
    27. Daher, Hassan & Masih, A.Mansur M. & Ibrahim, Mansor H., 2014. "Islamic Banks’ Capital Buffers: Unique Risk Exposures and the Disciplining Effects of Charter Values," MPRA Paper 56947, University Library of Munich, Germany.
    28. Johannes P S Sheefeni, 2022. "Bank Capital Buffers and Bank Risks: Evidence from the Namibian Banking Sector," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 15(3), pages 60-68, December.

  41. Benjamin M. Tabak & Giovana L. Craveir & Daniel O. Cajueiro, 2011. "Bank Efficiency and Default in Brazil: Causality Tests," Working Papers Series 253, Central Bank of Brazil, Research Department.

    Cited by:

    1. Bang Nam Jeon & Ji Wu & Limei Chen & Minghua Chen, 2020. "Diversification, efficiency and risk of banks: New consolidating evidence from emerging economies," School of Economics Working Paper Series 2020-10, LeBow College of Business, Drexel University.
    2. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Discussion Paper 2015-036, Tilburg University, Center for Economic Research.
    3. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Alexander Karminsky & Alexander Kostrov & Taras Murzenkov, 2012. "Comparison of default probability models: Russian experience," HSE Working papers WP BRP 06/FE/2012, National Research University Higher School of Economics.
    5. Chepngenoh, Florence & Muriu, Peter W & Institute of Research, Asian, 2020. "Does Risk-Taking Behaviour Matter for Bank Efficiency?," OSF Preprints n7r2c, Center for Open Science.
    6. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
    7. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    8. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.
    9. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.
    10. Karminsky, A. & Kostrov, A., 2013. "Modeling the Default Probabilities of Russian Banks: Extended Abillities," Journal of the New Economic Association, New Economic Association, vol. 17(1), pages 64-86.

  42. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "Profit, Cost and Scale Efficiency for Latin American Banks: Concentration-Performance Relationship," Working Papers Series 244, Central Bank of Brazil, Research Department.

    Cited by:

    1. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    2. Tee, Kenny & Syriopoulos, Konstantinos & Rubbaniy, Ghulame & Salim, Amna, 2025. "Asymmetric relationship between competition and innovation: Evidence from banks in the Eurozone," The Journal of Economic Asymmetries, Elsevier, vol. 32(C).
    3. Cândida Ferreira, 2012. "Bank market concentration and efficiency in the European Union: a panel granger causality approach," Working Papers Department of Economics 2012/03, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    4. Kofi Adjei-Frimpong & Christopher Gan & Baiding Hu, 2014. "Cost Efficiency of Ghana's Banking Industry: A Panel Data Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(2), pages 69-86.
    5. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    6. Luo, Yun & Tanna, Sailesh & De Vita, Glauco, 2016. "Financial openness, risk and bank efficiency: Cross-country evidence," Journal of Financial Stability, Elsevier, vol. 24(C), pages 132-148.
    7. Cavallo, Eduardo A. & Serebrisky, Tomás & Frisancho, Verónica & Karver, Jonathan & Powell, Andrew & Margot, Diego & Suárez-Alemán, Ancor & Fernández-Arias, Eduardo & Marzani, Matías & Berstein, Solang, 2016. "Saving for Development: How Latin America and the Caribbean Can Save More and Better," IDB Publications (Books), Inter-American Development Bank, number 7677.

  43. Lycia M. G. Araujo & Guilherme M. R. Gomes & Solange M. Guerra & Benjamin M. Tabak, 2011. "Comparação da Eficiência de Custo para BRICs e América Latina," Working Papers Series 252, Central Bank of Brazil, Research Department.

    Cited by:

    1. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
    2. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    3. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.

  44. Benjamin M. Tabak & Daniel O. Cajueiro & A. Luduvice, 2011. "Modeling Default Probabilities: the case of Brazil," Working Papers Series 232, Central Bank of Brazil, Research Department.

    Cited by:

    1. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    2. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    3. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    4. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Rahat, Birjees, 2021. "The impact of resource curse on banking efficiency: Evidence from twelve oil producing countries," Resources Policy, Elsevier, vol. 72(C).
    5. Azusa Takeyama & Nick Constantinou & Dmitri Vinogradov, 2012. "A Framework for Extracting the Probability of Default from Stock Option Prices," IMES Discussion Paper Series 12-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    7. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    8. Barbi, A.Q. & Prataviera, G.A., 2019. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 876-885.

  45. Benjamin M. Tabak & Daniel O. Cajueiro & Dimas M. Fazio, 2010. "Financial Fragility in a General Equilibrium Model: the Brazilian case," Working Papers Series 229, Central Bank of Brazil, Research Department.

    Cited by:

    1. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    2. Thomas F. Coleman & Alex LaPlante & Alexey Rubtsov, 2018. "Analysis of the SRISK measure and its application to the Canadian banking and insurance industries," Annals of Finance, Springer, vol. 14(4), pages 547-570, November.
    3. Ondřej Machek & Luboš Smrčka, 2015. "An updated Model of Financial Fragility based on General Equilibrium Analysis [Aktualizace modelu finanční křehkosti založeného na analýze všeobecné rovnováhy]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2015(4), pages 23-42.
    4. Frederik J.C. Beyers & Allan De Freitas & Kojo A. Essel‐Mensah & Reyno Seymore & Dimitrios P. Tsomocos, 2022. "A computable general equilibrium model as a banking sector regulatory tool in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 93-120, March.
    5. Conrad Beyers & Kojo A. Essel‐Mensah & Dimitrios P. Tsomocos, 2024. "A computable general equilibrium model of the monetary policy implications for financial stability in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 92(4), pages 415-443, December.
    6. Conrad F. J. Beyers & Allan Freitas & Kojo A. Essel-Mensah & Reyno Seymore & Dimitrios P. Tsomocos, 2020. "A computable general equilibrium model for banking sector risk assessment in South Africa," Annals of Finance, Springer, vol. 16(2), pages 195-218, June.

  46. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.

    Cited by:

    1. Konstantinos N. Baltas, 2025. "The nexus between bank efficiency and leverage," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 811-839, January.
    2. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Discussion Paper 2015-036, Tilburg University, Center for Economic Research.
    3. Sara G.Castellanos & Jesus G. Garza-Garcia, 2013. "Competition and Efficiency in the Mexican Banking Sector," Working Papers 1329, BBVA Bank, Economic Research Department.
    4. Adriel Martins de Freitas Branco & Alexandre Pereira Salgado Junior & Patrícia Benites Cava & Eduardo Falsarella Junior & Marco Antônio Alves de Souza Junior, 2017. "Efficiency of the Brazilian Banking System in 2014: A DEA-SBM Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(5), pages 1-2.
    5. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Oleg Deev & Martin Hodula, 2016. "Sovereign default risk and state-owned bank fragility in emerging markets: evidence from China and Russia," Post-Communist Economies, Taylor & Francis Journals, vol. 28(2), pages 232-248, April.
    7. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    8. van der Heijden, Hans & Garn, Wolfgang, 2013. "Profitability in the car industry: New measures for estimating targets and target directions," European Journal of Operational Research, Elsevier, vol. 225(3), pages 420-428.
    9. Salah Mohammed Abdulahi & Mekonnen Kumlachew Yitayaw & Habtamu Legese Feyisa & Wondmagegn Biru Mamo, 2023. "Factor affecting technical efficiency of the banking sector: Evidence from Ethiopia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2186039-218, December.
    10. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    11. Hirofumi Fukuyama & Yong Tan, 2024. "Investigating into the dual role of loan loss reserves in banking production process," Annals of Operations Research, Springer, vol. 334(1), pages 423-444, March.
    12. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    13. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    14. Forgione, Antonio Fabio & Migliardo, Carlo & Spadaro, Marco, 2025. "Bank efficiency and liquidity creation in the Euro Area: A Bayesian approach," Economics Letters, Elsevier, vol. 247(C).
    15. Thyago C. C. Nepomuceno & Ana Paula C. S. Costa, 2019. "Resource allocation with Time Series DEA applied to Brazilian Federal Saving banks," Economics Bulletin, AccessEcon, vol. 39(2), pages 1384-1392.
    16. Rishabh Goswami & Farah Hussain & Manish Kumar, 2019. "Banking Efficiency Determinants in India: A Two-stage Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(4), pages 361-380, November.
    17. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "Profit, Cost and Scale Efficiency for Latin American Banks: Concentration-Performance Relationship," Working Papers Series 244, Central Bank of Brazil, Research Department.
    18. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2011. "The effects of loan portfolio concentration on Brazilian banks' return and risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3065-3076, November.
    19. Christopher Gerling & Stefan Lessmann, 2023. "Multimodal Document Analytics for Banking Process Automation," Papers 2307.11845, arXiv.org, revised Nov 2023.
    20. Kofi Adjei-Frimpong & Christopher Gan & Baiding Hu, 2014. "Cost Efficiency of Ghana's Banking Industry: A Panel Data Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(2), pages 69-86.
    21. Rogerio Morais & José Dirnece Tavares Paes, 2020. "Analysis Of Factors Supporting Swot In Organizational Strategic Planning," Management Strategies Journal, Constantin Brancoveanu University, vol. 48(2), pages 38-51.
    22. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    23. Lyazzat Yespergenova & Aliya Dosmanbetova & Yengilik Baisheva & Dinmukhamed Zhakipbekov & Myrzabike Zhumabayeva & Alimshan Faizulayev, 2023. "The Factors that Drives the Cost Management Efficiency of Oil and Gas companies in Emerging Markets: The Case of Eurasian Economic Union," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 328-334, January.
    24. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    25. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    26. Huaqing Wu & Jingyu Yang & Wensheng Wu & Ya Chen, 2023. "Interest rate liberalization and bank efficiency: A DEA analysis of Chinese commercial banks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 467-498, June.
    27. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    28. Çiğdem Özari & Esin Nesrin Can, 2023. "Financial Performance Evaluating and Ranking Approach for Banks in Bist Sustainability Index Using Topsis and K-Means Clustering Method," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, January.
    29. Assaf, A. George & Berger, Allen N. & Roman, Raluca A. & Tsionas, Mike G., 2019. "Does efficiency help banks survive and thrive during financial crises?," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 445-470.
    30. Michael Adusei, 2016. "Determinants of bank technical efficiency: Evidence from rural and community banks in Ghana," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1199519-119, December.
    31. Takahashi, Fábio Lucas & Vasconcelos, Marcos Roberto, 2024. "Bank efficiency and undesirable output: An analysis of non-performing loans in the Brazilian banking sector," Finance Research Letters, Elsevier, vol. 59(C).
    32. Özlem O. Akdeniz & Hussein A. Abdou & Ali I. Hayek & Jacinta C. Nwachukwu & Ahmed A. Elamer & Chris Pyke, 2024. "Technical efficiency in banks: a review of methods, recent innovations and future research agenda," Review of Managerial Science, Springer, vol. 18(11), pages 3395-3456, November.
    33. Angilella, Silvia & Doumpos, Michalis & Pappalardo, Maria Rosaria & Zopounidis, Constantin, 2024. "Assessing the performance of banks through an improved sigma-mu multicriteria analysis approach," Omega, Elsevier, vol. 127(C).
    34. Md. Asif Nawaz, 2021. "Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-4.
    35. Omneya Abdelsalam & Sabur Mollah & Emili Tortosa‐Ausina & Ahmed A. El‐Masry, 2025. "Do political connections matter for bank efficiency in times of crisis?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 602-625, January.
    36. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    37. Richard Oduro & Francis Kwaw Andoh & Samuel Gameli Gadzo, 2022. "Dynamics and Drivers of Competition in the Ghanaian Banking Industry," International Journal of Global Business and Competitiveness, Springer, vol. 17(2), pages 175-191, December.
    38. Rogério Morais, 2019. "Analysis Of Factors Supporting Swot In Organizational Strategic Planning," Management Strategies Journal, Constantin Brancoveanu University, vol. 44(2), pages 66-78.
    39. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    40. Erik Figueiredo & João Ricardo Faria & Jaime Orrillo & Rodrigo Pereira, 2025. "Are the loans of state-owned banks politically motivated?," Empirical Economics, Springer, vol. 68(1), pages 405-432, January.
    41. Fan Yang & Tajul Ariffin Masron, 2024. "The effect of digital transformation on the cost of China commercial banks," SN Business & Economics, Springer, vol. 4(5), pages 1-21, May.
    42. Zhang, Jianhua & Jiang, Chunxia & Qu, Baozhi & Wang, Peng, 2013. "Market concentration, risk-taking, and bank performance: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 149-157.
    43. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    44. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    45. Deng, Yuanyue & Li, Sijing, 2024. "Do global and local economic policy uncertainties matter for systemic risk in the international banking system," Finance Research Letters, Elsevier, vol. 59(C).
    46. Maria Elisabete Neves & Catarina Proença & António Dias, 2020. "Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach," JRFM, MDPI, vol. 13(11), pages 1-19, November.
    47. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    48. Benjamin M. Tabak & Rogério B. Miranda & Dimas M. Fazio, 2012. "A Geographically Weighted Approach in Measuring Efficiency in Panel Data: the Case of US Saving Banks," Working Papers Series 275, Central Bank of Brazil, Research Department.
    49. Jorge E. Galán & Yong Tan, 2024. "Green light for green credit? Evidence from its impact on bank efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 531-550, January.
    50. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    51. Chen, Jing & Kamarudin, Fakarudin & Amin Noordin, Bany Ariffin & Theng, Lau Wei & Zhou, Tim, 2025. "Impact of shadow banking on Chinese banks’ efficiency: The moderating effect of ownership," Finance Research Letters, Elsevier, vol. 83(C).
    52. Constant Fouopi Djiogap & Jacques Simon Song, 2016. "Qualité des institutions, structure de propriété et efficacité des banques dans la CEMAC ," African Development Review, African Development Bank, vol. 28(4), pages 496-508, December.
    53. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    54. Cortés-García, J. Salvador & Pérez-Rodríguez, Jorge V., 2024. "Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 164-175.
    55. Achraf Haddad & Anis El Ammari & Abdelfettah Bouri, 2019. "Comparative Study of Ambiguity Resolution between the Efficiency of Conventional and Islamic Banks in a Stable Financial Context," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 111-129.
    56. Serhat Y ksel & Shahriyar Mukhtarov & Elvin Mammadov, 2016. "Comparing the Efficiency of Turkish and Azerbaijani Banks: An Application with Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1059-1067.
    57. Ulaş Ünlü & Neşe Yalçın & Nuri Avşarlıgil, 2022. "Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach," Mathematics, MDPI, vol. 10(13), pages 1-22, July.
    58. Alqahtani, Faisal & Mayes, David G. & Brown, Kym, 2017. "Islamic bank efficiency compared to conventional banks during the global crisis in the GCC region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 58-74.

  47. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2010. "The Effects of Loan Portfolio Concentration on Brazilian Banks' Return and Risk," Working Papers Series 215, Central Bank of Brazil, Research Department.

    Cited by:

    1. Fricke, Daniel & Roukny, Tarik, 2020. "Generalists and specialists in the credit market," Journal of Banking & Finance, Elsevier, vol. 112(C).
    2. Tajik, Mohammad & Aliakbari, Saeideh & Ghalia, Thaana & Kaffash, Sepideh, 2015. "House prices and credit risk: Evidence from the United States," Economic Modelling, Elsevier, vol. 51(C), pages 123-135.
    3. Florian Leon, 2017. "Implications of loan portfolio concentration in Cambodia," Economics Bulletin, AccessEcon, vol. 37(1), pages 282-296.
    4. Jahn, Nadya & Memmel, Christoph & Pfingsten, Andreas, 2013. "Banks' concentration versus diversification in the loan portfolio: New evidence from Germany," Discussion Papers 53/2013, Deutsche Bundesbank.
    5. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    6. Šeho, Mirzet & Shaiban, Mohammed Sharaf Mohsen & Ghafoor, Abdul, 2023. "Loan and financing diversification and bank stability in dual-banking systems," Finance Research Letters, Elsevier, vol. 51(C).
    7. Esteban Lafuente & Mircea Epure, 2015. "Monitoring Bank Performance in the Presence of Risk," Working Papers 613, Barcelona School of Economics.
    8. Hu, Haifeng & Wei, Tao & Wang, Aiping, 2025. "Does digital transformation enhance bank soundness? Evidence from Chinese commercial banks," Journal of Financial Stability, Elsevier, vol. 76(C).
    9. Arif, Salman & Donovan, John & Gopalan, Yadav & Morris, Arthur, 2024. "Pay for prudence," Journal of Accounting and Economics, Elsevier, vol. 77(1).
    10. Nguyen, Thi Lam Anh, 2018. "Diversification and bank efficiency in six ASEAN countries," Global Finance Journal, Elsevier, vol. 37(C), pages 57-78.
    11. Simoens, Mathieu & Tamburrini, Fabio, 2025. "The expert’s edge? Bank lending specialization and informational advantages for credit risk assessment," Working Paper Series 3041, European Central Bank.
    12. Minzhi Wu & Emili Tortosa-Ausina, 2020. "Bank Diversification and Focus in Disruptive Times: China, 2007–2018," Working Papers 2020/21, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Baah Aye Kusi & Lydia Adzobu & Alex Kwame Abasi & Kwadjo Ansah-Adu, 2020. "Sectoral Loan Portfolio Concentration and Bank Stability: Evidence from an Emerging Economy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(1), pages 66-99, April.
    14. Benjamin Tabak & Daniel Cajueiro & Dimas Fazio, 2013. "Financial fragility in a general equilibrium model: the Brazilian case," Annals of Finance, Springer, vol. 9(3), pages 519-541, August.
    15. Hoxha, Indrit, 2013. "The market structure of the banking sector and financially dependent manufacturing sectors," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 432-444.
    16. Šeho, Mirzet & Ibrahim, Mansor H. & Mirakhor, Abbas, 2021. "Does sectoral diversification of loans and financing improve bank returns and risk in dual-banking systems?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Mathur, Ike & Marcelin, Isaac, 2015. "Institutional failure or market failure?," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 266-280.
    18. Wang, Yizhong & Hou, Shuting & Wang, Ting & Li, Mengxuan, 2024. "Non-deposit liability and bank risk-taking: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    19. Duong Thuy Phan & Trong Tai Nguyen & Thi Thanh Hoang, 2022. "Impact of income diversification on the business performance of Vietnamese commercial banks," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2132592-213, December.
    20. Adriana Bruscato Bortoluzzo & Rodrigo Ricardo Ciganda & Mauricio Mesquita Bortoluzzo, 2024. "Determinant factors of banking profitability: an application of quantile regression for panel data," Future Business Journal, Springer, vol. 10(1), pages 1-10, December.
    21. Dursun-de Neef, H. Özlem, 2023. "Bank specialization, mortgage lending and house prices," Journal of Banking & Finance, Elsevier, vol. 151(C).
    22. Rao, Pingui & Yue, Heng & Zhu, Jigao, 2015. "An investigation of credit borrower concentration," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 208-221.
    23. Oguzhan Ece & Bulent Diclehan Cadirci, 2022. "The Effect of Loan Portfolio Concentration Level on Financial Stability and Performance: A Comparatıve Analysis in Dual Banking System," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 523-556, July.
    24. Brent Ambrose & Michael Shafer & Yildiray Yildirim, 2018. "The Impact of Tenant Diversification on Spreads and Default Rates for Mortgages on Retail Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 1-32, January.
    25. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    26. Mueller, Isabella & Sfrappini, Eleonora, 2025. "Climate change-related regulatory risks and bank lending," Journal of International Economics, Elsevier, vol. 158(C).
    27. Kristian S. Blickle & Cecilia Parlatore & Anthony Saunders, 2021. "Specialization in Banking," Staff Reports 967, Federal Reserve Bank of New York.
    28. Atahau, Apriani Dorkas Rambu & Cronje, Tom, 2020. "Bank lending: The bank ownership focus in the pre- and post-global financial crisis periods," Economic Systems, Elsevier, vol. 44(4).
    29. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    30. Karakaya, Neslihan & Michalski, Tomasz K. & Örs, Evren, 2022. "Banking integration and growth: Role of banks' previous industry exposure," Journal of Financial Intermediation, Elsevier, vol. 49(C).
    31. Wang, Wei & Huang, Jun & Wang, Haibo & Alidaee, Bahram, 2022. "Internal and external analysis of community banks' performance," International Review of Financial Analysis, Elsevier, vol. 84(C).
    32. Tsangyao Chang & Chin-Chih Chen, 2017. "The Impact of Bank Size on Profit Stability in China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(2), pages 1-4.
    33. Berger, Philip G. & Minnis, Michael & Sutherland, Andrew, 2017. "Commercial lending concentration and bank expertise: Evidence from borrower financial statements," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 253-277.
    34. Ao, Zhiming & Ji, Xinru, 2025. "Strategic cooperation in fintech field and efficiency of commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    35. Huynh, Japan & Dang, Van Dan, 2022. "Exploring the asymmetric effects of loan portfolio diversification on bank profitability," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    36. Harimaya, Kozo & Ozaki, Yasufumi, 2021. "Effects of diversification on bank efficiency: Evidence from Shinkin banks in Japan," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 700-717.
    37. Liao, Kezhi & Ma, Chengcheng & Zhang, Jingxue & Wang, Zhihao, 2024. "Does big data infrastructure development facilitate bank fintech innovation? Evidence from China," Finance Research Letters, Elsevier, vol. 65(C).
    38. Beck, Thorsten & De Jonghe, Olivier, 2013. "Lending concentration, bank performance and systemic risk : exploring cross-country variation," Policy Research Working Paper Series 6604, The World Bank.
    39. Goedde-Menke, Michael & Ingermann, Peter-Hendrik, 2024. "Loan officer specialization and credit defaults," Journal of Banking & Finance, Elsevier, vol. 161(C).
    40. Jyh-Horng Lin & Pei-Chi Lii & Fu-Wei Huang & Shi Chen, 2019. "Cross-Border Lending, Government Capital Injection, and Bank Performance," IJFS, MDPI, vol. 7(2), pages 1-20, April.
    41. Pankaj C. Patel, 2024. "Requisite variety theory and third‐party guarantee loans: How local bank branches can reduce loan defaults," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 226-246, January.
    42. de Haan, Jakob & Poghosyan, Tigran, 2012. "Size and earnings volatility of US bank holding companies," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3008-3016.
    43. Michael Brei & Carlos Winograd, 2012. "Foreign banks, corporate strategy and financial stability: lessons from the river plate," PSE Working Papers halshs-00703738, HAL.
    44. Thorsten Beck & Olivier De Jonghe & Klaas Mulier, 2022. "Bank Sectoral Concentration and Risk: Evidence from a Worldwide Sample of Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1705-1739, September.
    45. Nadya Jahn & Christoph Memmel & Andreas Pfingsten, 2016. "Banks’ Specialization versus Diversification in the Loan Portfolio," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 17(1), pages 25-48, April.
    46. Line Drapeau & Claudia Champagne, 2015. "Do Syndicated Loans Influence Systemic Risk? An Empirical Analysis of the Canadian Syndicated Loan Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 22-41, November.
    47. Mimoza Shabani & Carmela D'Avino, 2020. "A new approach to measuring universal banking," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 353-379, October.
    48. Firoozi, Fathali & Lien, Donald, 2022. "Models of optimal contract in lending: Evaluating the impact of diversified versus focused policies on riskiness of borrower base," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    49. De Jonghe, Olivier & Dewachter, Hans & Mulier, Klaas & Ongena, Steven & Schepens, Glenn, 2019. "Some borrowers are more equal than others: bank funding shocks and credit reallocation," Working Paper Series 2230, European Central Bank.
    50. Burietz, A. & Ureche-Rangau, L., 2020. "Better the devil you know: Home and sectoral biases in bank lending," International Economics, Elsevier, vol. 164(C), pages 69-85.
    51. Hou, Shuting & Zheng, Bowen, 2024. "The unintended interaction effect of monetary and macroprudential policies: Evidence from China’s bank-level data," Finance Research Letters, Elsevier, vol. 67(PB).
    52. Zeeshan, Mohammad & Singh, Manish K., 2025. "Sectoral exposure and its impact on bank risk: Evidence from India," Economic Modelling, Elsevier, vol. 151(C).
    53. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    54. Wang, Chao & Li, Mengyu & Liu, Xiaoxing, 2024. "Does credit carbon exposure affect banks' profits and risks? Evidence from China," Applied Energy, Elsevier, vol. 370(C).
    55. Jonathan Mwau Mulwa, 2018. "Sectoral credit diversification, bank performance and monitoring effectiveness; a cross-country analysis of east African banking industries," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 7(2), pages 1-2.
    56. Michael Brei & Carlos Winograd, 2012. "Foreign banks, corporate strategy and financial stability: lessons from the river plate," Working Papers halshs-00703738, HAL.
    57. Shaoying Chen & Yang Yang & Zhimin Zhang, 2024. "Asymptotics for credit portfolio losses due to defaults in a multi-sector model," Annals of Operations Research, Springer, vol. 337(1), pages 23-44, June.
    58. Di, Wenhua & Pattison, Nathaniel, 2023. "Industry Specialization and Small Business Lending," Journal of Banking & Finance, Elsevier, vol. 149(C).
    59. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2013. "Systemically important banks and financial stability: The case of Latin America," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3855-3866.
    60. Zhang, Siyu & Yuan, Rongli & Li, Yukun & Chen, Li & Luo, Danglun, 2024. "Local official turnover and bank risk-taking: Evidence from China," Emerging Markets Review, Elsevier, vol. 63(C).
    61. Nadia Nadira Mohd Norsiman & Noor Azuddin Yakob & Carl B. McGowan, Jr, 2019. "The Effect of Portfolio Diversification for the Bursa Malaysia," Accounting and Finance Research, Sciedu Press, vol. 8(4), pages 1-76, November.
    62. Syed Moudud-Ul-Huq, 2021. "The Impact of Business Cycle on Banks’ Capital Buffer, Risk and Efficiency: A Dynamic GMM Approach from a Developing Economy," Global Business Review, International Management Institute, vol. 22(4), pages 921-940, August.
    63. Francis, Bill B. & Hasan, Iftekhar & Küllü, A. Melih & Zhou, Mingming, 2018. "Should banks diversify or focus? Know thyself: The role of abilities," Economic Systems, Elsevier, vol. 42(1), pages 106-118.
    64. Topalog̃lu Bozkurt, Ayça & Özyıldırım, Süheyla, 2025. "Firm commonality, bank connectedness and portfolio riskiness," International Review of Economics & Finance, Elsevier, vol. 97(C).
    65. Syed Moudud-Ul-Huq, 2019. "Banks’ capital buffers, risk, and efficiency in emerging economies: are they counter-cyclical?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(4), pages 467-492, December.
    66. Thiago Christiano Silva & Benjamin Miranda Tabak & Marcela Tetzner Laiz, 2019. "The Finance-Growth Nexus: the role of banks," Working Papers Series 506, Central Bank of Brazil, Research Department.
    67. Beck, Thorsten & De Jonghe, Olivier & Mulier, Klaas, 2017. "Bank sectoral concentration and (systemic) risk: Evidence from a worldwide sample of banks," CEPR Discussion Papers 12009, C.E.P.R. Discussion Papers.

  48. Benjamin M. Tabak & Giovana L. Craveiro & Daniel O. Cajueiro, 2010. "Eficiência Bancária e Inadimplência: Testes de Causalidade," Working Papers Series 220, Central Bank of Brazil, Research Department.

    Cited by:

    1. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.

  49. Daniel Oliveira Cajueiro & Benjamin M. Tabak, 2010. "Fluctuation Dynamics in US Interest Rates and the Role of Monetary Policy," Working Papers Series 206, Central Bank of Brazil, Research Department.

    Cited by:

    1. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    2. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    3. Bariviera, Aurelio F., 2017. "The inefficiency of Bitcoin revisited: A dynamic approach," Economics Letters, Elsevier, vol. 161(C), pages 1-4.
    4. Zhao, Jiawei & Han, Yibo, 2025. "Interest rate fluctuations and corporate financial leverage," Finance Research Letters, Elsevier, vol. 80(C).
    5. M. Bel'en Arouxet & Aurelio F. Bariviera & Ver'onica E. Pastor & Victoria Vampa, 2020. "Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent," Papers 2009.05652, arXiv.org.
    6. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    7. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    8. Alvarez-Ramirez, J. & Rodriguez, E. & Espinosa-Paredes, G., 2012. "A partisan effect in the efficiency of the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4923-4932.
    9. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    10. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi & Mohamad Shariff, Nurul Sima, 2017. "The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 36-51.
    11. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    12. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    13. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    14. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.

  50. Francisco Vazquez & Benjamin M. Tabak & Marcos Souto, 2010. "A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector," Working Papers Series 226, Central Bank of Brazil, Research Department.

    Cited by:

    1. Petros Golitsis & Athanasios P. Fassas & Anna Lyutakova, 2019. "Credit Risk Determinants: Evidence from the Bulgarian Banking System," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 41-64.
    2. Green, Christopher & Bai, Ye & Murinde, Victor & Ngoka, Kethi & Maana, Isaya & Tiriongo, Samuel, 2016. "Overnight interbank markets and the determination of the interbank rate: A selective survey," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 149-161.
    3. Désiré Avom & Fabien Clive Ntonga Efoua & Etienne Inédit Blaise Tsomb Tsomb, 2025. "Is the CEMAC Banking System Resilient to Macrofinancial Shocks ? [Le système bancaire de la CEMAC est-il résilient aux chocs macro- financiers ?]," Post-Print hal-05057312, HAL.
    4. Fabien Clive Ntonga Efoua & Etienne Inédit Blaise Tsomb Tsomb, 2023. "Commodity Shocks and External Currency Stability : An Empirical Evidence from CEMAC [Chocs sur les produits de base et stabilité externe de la monnaie : une évidence empirique en CEMAC]," Post-Print hal-04273963, HAL.
    5. Ferrari, Stijn & Van Roy, Patrick & Vespro, Cristina, 2021. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Journal of Financial Stability, Elsevier, vol. 52(C).
    6. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    7. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    8. Milan Eliskovski, 2018. "Investigating credit transmission mechanism in the Republic of Macedonia: evidence from Vector Error Correction Model," Working Papers 2018-02, National Bank of the Republic of North Macedonia.
    9. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    10. Melecky, Ales & Melecky, Martin & Sulganova, Monika, 2014. "Úvěry v selhání a makroekonomika: Modelování systémového kreditního rizika v České republice [Non-performing loans and the macroeconomy: Modeling the systemic credit risk in Czech Republic]," MPRA Paper 59917, University Library of Munich, Germany.
    11. Ruja, Catalin, 2014. "Macro Stress-Testing Credit Risk in Romanian Banking System," MPRA Paper 58244, University Library of Munich, Germany.
    12. International Monetary Fund, 2013. "Brazil: Technical Note on Consumer Credit Growth and Household Financial Stress," IMF Staff Country Reports 2013/149, International Monetary Fund.
    13. Mr. Francesco Grigoli & Mr. Mario Mansilla & Martín Saldías, 2016. "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador," IMF Working Papers 2016/236, International Monetary Fund.
    14. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    15. Jordan KJOSEVSKI & Mihail PETKOVSKI & Kiril SIMEONOVSKI, 2022. "The Effects of Individual and Economic Risks and Stress Testing of Non-Life Sector Profitability: The Case of the NorthMacedonian Insurance Sector," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 125-144, April.
    16. Pierre-Richard Agénor & Luiz A. Pereira da Silva, 2013. "Inflation Targeting and Financial Stability: A Perspective from the Developing World," Working Papers Series 324, Central Bank of Brazil, Research Department.
    17. Ndwiga, David & Makunda, Geraldine, 2025. "Macroeconomic imbalances evolution and their effect on bank intermediation cost in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 93, Kenya Bankers Association (KBA).
    18. Kevin Ghislain Adjé, 2018. "Determinants of Bank Credit Risk in Developing Economies: Evidence from Benin," International Business Research, Canadian Center of Science and Education, vol. 11(4), pages 154-163, April.
    19. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    20. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    21. Pami Dua & Hema Kapur, 2017. "Macro Stress Testing of Indian Bank Groups," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 375-403, November.
    22. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    23. Siemsen, Thomas & Vilsmeier, Johannes, 2018. "On a quest for robustness: About model risk, randomness and discretion in credit risk stress tests," Discussion Papers 31/2018, Deutsche Bundesbank.
    24. Uquillas, Adriana & Tonato, Ronny, 2022. "Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 299-320.
    25. Tabachová, Zlata & Diem, Christian & Borsos, András & Burger, Csaba & Thurner, Stefan, 2024. "Estimating the impact of supply chain network contagion on financial stability," Journal of Financial Stability, Elsevier, vol. 75(C).
    26. Lena T. Cleanthous & Elena C. Eracleous & Nektarios A. Michail, 2019. "Credit, House Prices and the Macroeconomy in Cyprus," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 17(1), pages 33-55.
    27. Waelchli Boris, 2016. "A proximity based macro stress testing framework," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-26, November.
    28. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
    29. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    30. Mohammed T. Abusharbeh, 2022. "Determinants of credit risk in Palestine: Panel data estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3434-3443, July.
    31. Martin Macháček & Aleš Melecký & Monika Šulganová, 2018. "Macroeconomic Drivers of Non-Performing Loans: A Meta-Regression Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(3), pages 351-374.
    32. Memmel, Christoph & Gündüz, Yalin & Raupach, Peter, 2015. "The common drivers of default risk," Journal of Financial Stability, Elsevier, vol. 16(C), pages 232-247.
    33. Sanatkhani, Mahboobeh & Bazzazan, Fatemeh, 2021. "Stress Testing of Credit Risk in Iran’s Banking System," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(1), pages 93-114, March.
    34. Christos Christodoulou-Volos & Andreas Hadjixenophontos, 2017. "Empirical Determinants of the Non-Performing Loans in the Cypriot Banking System," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 6(4), pages 1-1.
    35. Chortareas, Georgios & Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Credit risk and the business cycle: What do we know?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    36. International Monetary Fund, 2012. "Brazil: Selected Issues Paper," IMF Staff Country Reports 2012/192, International Monetary Fund.
    37. A. P. Pati, 2017. "Credit Risk Stress Testing Practices in BRICS: Post-global Financial Crisis Scenario," Global Business Review, International Management Institute, vol. 18(4), pages 936-954, August.
    38. Miyajima, Ken & Khandelwal, Padamja & Santos, Andre, 2017. "The Impact of Oil Prices on the Banking system in the Gulf Cooperation Council," MPRA Paper 92371, University Library of Munich, Germany.
    39. Horváth, Roman & Vaško, Dan, 2016. "Central bank transparency and financial stability," Journal of Financial Stability, Elsevier, vol. 22(C), pages 45-56.
    40. Chuluunbayar, Delgerjargal, 2020. "Macroeconomic determinants of non-performing loans in Mongolia: the influence of currency mismatch and bank size," MPRA Paper 101843, University Library of Munich, Germany.
    41. Mariagrazia Fallanca & Antonio Fabio Forgione & Edoardo Otranto, 2021. "Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach," JRFM, MDPI, vol. 14(1), pages 1-15, January.
    42. Samuel Fosu & Albert Danso & Henry Agyei-Boapeah & Collins G. Ntim & Emmanuel Adegbite, 2020. "Credit information sharing and loan default in developing countries: the moderating effect of banking market concentration and national governance quality," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 55-103, July.

  51. Benjamin M. Tabak & Marcela T. Laiz & Daniel O. Cajueiro, 2010. "Financial Stability and Monetary Policy - The Case of Brazil," Working Papers Series 217, Central Bank of Brazil, Research Department.

    Cited by:

    1. Zia Abbas & Syed Faizan Iftikhar & Shaista Alam, 2019. "Does bank capital affect the monetary policy transmission mechanism? A case study of Emerging Market Economies (EMEs)," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-20, June.
    2. Christian Hott & Terhi Jokipii, 2012. "Housing Bubbles and Interest Rates," Working Papers 2012-07, Swiss National Bank.
    3. Stefan Behrendt, 2016. "Taking Stock - Credit Measures in Monetary Transmission," Jena Economics Research Papers 2016-002, Friedrich-Schiller-University Jena.
    4. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    5. Whelsy Boungou, 2019. "Negative interest rate, bank profitability and risk-taking," Documents de Travail de l'OFCE 2019-10, Observatoire Francais des Conjonctures Economiques (OFCE).
    6. Emiliano Luttini & Michael Pedersen, 2015. "Bank's Price Setting and Lending Maturity: Evidence from an Inflation- Targeting Economy," Working Papers Central Bank of Chile 762, Central Bank of Chile.
    7. Ekin Ayse Ozsuca & Elif Akbostanci, 2012. "An Empirical Analysis of the Risk Taking Channel of Monetary Policy in Turkey," ERC Working Papers 1208, ERC - Economic Research Center, Middle East Technical University, revised Dec 2012.
    8. Claudio Oliveira De Moraes & José Americo Pereira Antunes & Adriano Rodrigues, 2019. "Financial intermediation analysis from financial flows," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(3), pages 727-747, August.
    9. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese Banks," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 63-72.
    10. Barbi, Fernando C., 2014. "Determinants of Credit Expansion in Brazil," MPRA Paper 19535, University Library of Munich, Germany, revised 13 Sep 2014.
    11. Montes, Gabriel Caldas & do Nascimento Valladares, Matheus, 2024. "The effects of economic uncertainty and economic policy uncertainty on banks’ loan loss provision in Brazil," Journal of Economics and Business, Elsevier, vol. 131(C).
    12. Thai V. H. Nguyen & Agyenim Boateng & Tra Thi Thu Pham, 2019. "Involuntary excess reserve and heterogeneous transmission of policy rates to bank lending rates in China," Empirical Economics, Springer, vol. 57(3), pages 1023-1044, September.
    13. Montes, Gabriel Caldas & Peixoto, Gabriel Barros Tavares, 2014. "Risk-taking channel, bank lending channel and the “paradox of credibility”," Economic Modelling, Elsevier, vol. 39(C), pages 82-94.
    14. Sandrine Lecarpentier & Olivier de Bandt & Cyril Pouvelle, 2019. "Determinants of banks' liquidity : a French perspective on market and regulatory ratio interactions," Working Papers hal-04141861, HAL.
    15. Montes, Gabriel Caldas & Valladares, Matheus & de Moraes, Claudio Oliveira, 2021. "Impacts of the sovereign risk perception on financial stability: Evidence from Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 358-369.
    16. de Moraes, Claudio Oliveira & de Mendonça, Helder Ferreira, 2019. "Bank’s risk measures and monetary policy: Evidence from a large emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 121-132.
    17. de Moraes, Claudio Oliveira & Montes, Gabriel Caldas & Antunes, José Américo Pereira, 2016. "How does capital regulation react to monetary policy? New evidence on the risk-taking channel," Economic Modelling, Elsevier, vol. 56(C), pages 177-186.
    18. de Mendonça, Helder Ferreira & de Moraes, Claudio Oliveira, 2018. "Central bank disclosure as a macroprudential tool for financial stability," Economic Systems, Elsevier, vol. 42(4), pages 625-636.
    19. José Américo Pereira Antunes & Claudio Oliveira De Moraes & Gabriel Caldas Montes, 2016. "Bank Regulatory Capital, Risk-Taking Channel And Monetary Policy: Evidence From An Inflation Targeting Emerging Economy," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 042, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Gabriel Barros Tavares Peixoto & Gabriel Caldas Montes, 2014. "Risk-Taking Channel, Bank Lendingchannel And The “Paradox Of Credibility”: Empirical Evidence For Brazil," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 030, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    21. Olivier de Bandt & Sandrine Lecarpentier & Cyril Pouvelle, 2020. "Determinants of Banks Liquidity: a French Perspective on Interactions between Market and Regulatory Requirements," Working papers 782, Banque de France.
    22. Gabriel Caldas Montes & José Américo Pereira Antunes & Alexei Ferreira Araújo, 2021. "Effects of monetary policy and credibility on financial intermediation: evidence from the Brazilian banking sector," Empirical Economics, Springer, vol. 60(3), pages 1191-1219, March.
    23. Carrera, César, 2011. "El canal del crédito bancario en el Perú: Evidencia y mecanismo de transmisión," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 22, pages 63-82.
    24. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2013. "The impact of excess reserves beyond precautionary levels on Bank Lending Channels in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 358-377.
    25. David Bholat & Rosa Lastra & Sheri Markose & Andrea Miglionico & Kallol Sen, 2016. "Non-performing loans: regulatory and accounting treatments of assets," Bank of England working papers 594, Bank of England.

  52. Marcos Souto & Benjamin M. Tabak & Francisco Vazquez, 2009. "Linking Financial and Macroeconomic Factors to Credit Risk Indicators of Brazilian Banks," Working Papers Series 189, Central Bank of Brazil, Research Department.

    Cited by:

    1. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Andrés De Souza Penaloza & Rodrigo César De Castro Mirand, 2014. "Systemic Risk Measures," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 124, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Mr. Marcos R Souto & Mr. Rodolphe Blavy, 2009. "Estimating Default Frequencies and Macrofinancial Linkages in the Mexican Banking Sector," IMF Working Papers 2009/109, International Monetary Fund.
    3. Sergio R. S. Souza & Benjamin M. Tabak & Solange M. Guerra, 2013. "Insolvency and Contagion in the Brazilian Interbank Market," Working Papers Series 320, Central Bank of Brazil, Research Department.
    4. João Barata Ribeiro Blanco Barroso & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2016. "Systemic Risk-Taking Channel of Domestic and Foreign Monetary Policy," Working Papers Series 412, Central Bank of Brazil, Research Department.
    5. International Monetary Fund, 2013. "Brazil: Technical Note on Consumer Credit Growth and Household Financial Stress," IMF Staff Country Reports 2013/149, International Monetary Fund.
    6. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    7. Benjamin M. Tabak & Sergio R. S. Souza & Solange M. Guerra, 2013. "Assessing Systemic Risk in the Brazilian Interbank Market," Working Papers Series 318, Central Bank of Brazil, Research Department.
    8. Xisong Jin & Francisco Nadal de Simone, 2011. "Market- and Book-Based Models of Probability of Default for Developing Macroprudential Policy Tools," BCL working papers 65, Central Bank of Luxembourg.
    9. Xisong Jin, 2018. "How much does book value data tell us about systemic risk and its interactions with the macroeconomy? A Luxembourg empirical evaluation," BCL working papers 118, Central Bank of Luxembourg.
    10. Xisong Jin & Francisco Nadal De Simone, 2015. "Investment funds? vulnerabilities: A tail-risk dynamic CIMDO approach," BCL working papers 95, Central Bank of Luxembourg.
    11. Jin, Xisong & Nadal De Simone, Francisco, 2014. "A framework for tracking changes in the intensity of investment funds' systemic risk," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 343-368.
    12. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    13. International Monetary Fund, 2012. "Brazil: Selected Issues Paper," IMF Staff Country Reports 2012/192, International Monetary Fund.
    14. Nadal De Simone, Francisco, 2021. "Measuring the deadly embrace: Systemic and sovereign risks," Research in International Business and Finance, Elsevier, vol. 56(C).
    15. Xisong Jin & Francisco Nadal De Simone, 2017. "Systemic Financial Sector and Sovereign Risks," BCL working papers 109, Central Bank of Luxembourg.
    16. Xisong Jin & Francisco Nadal De Simone, 2016. "Tracking Changes in the Intensity of Financial Sector's Systemic Risk," BCL working papers 102, Central Bank of Luxembourg.
    17. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

  53. José Luiz Barros Fernandes & Juan Ignacio Peña & Benjamin Miranda Tabak, 2009. "Behavior Finance and Estimation Risk in Stochastic Portfolio Optimization," Working Papers Series 184, Central Bank of Brazil, Research Department.

    Cited by:

    1. Lect. Aurora Murgea Ph. D, 2010. "Classical Lassical And Behavioural Finance In Investor Decision," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 1-12, May.
    2. Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.

  54. Roberta B. Staub & Geraldo Souza & Benjamin M. Tabak, 2009. "Evolution of Bank Efficiency in Brazil: A DEA Approach," Working Papers Series 200, Central Bank of Brazil, Research Department.

    Cited by:

    1. Danping Liu & Hedan Fang & Yuanmao Tang & Salmi Mohd Isa & Jinquan Tang, 2023. "Intelligent Technology Solutions and Banking Efficiency: The Impacts of Institutional Innovation and Consumer Participation," SAGE Open, , vol. 13(2), pages 21582440231, June.
    2. Taha Alsadi, 2026. "The efficiency of UK banks before, during, and after the Global Financial Crisis of 2008: data envelopment analysis (window approach)," Journal of Banking Regulation, Palgrave Macmillan, vol. 27(1), pages 1-10, March.
    3. Nathaniel Blankson & Godfred Amewu & Kenneth Ofori-Boateng & Kwame Adanu, 2022. "Banking reforms, efficiency and competition: new empirical evidence from a panel vector autoregressive analysis of Ghanaian banks," SN Business & Economics, Springer, vol. 2(5), pages 1-24, May.
    4. Emilios Galariotis & Iordanis Kalaitzoglou & Jacek Niklewski & Constantin Zopounidis, 2021. "Optimal level of state ownership in banks: prevention measure versus emergency action—evidence from the new millennia," Annals of Operations Research, Springer, vol. 304(1), pages 165-197, September.
    5. Sunil Mohanty & Hong-Jen Lin, 2021. "Efficiency in China’s Banking Sector: A Comparative Analysis of Pre- and Post-Basel II Eras," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, June.
    6. Maria Celia López-Penabad & Ana Iglesias-Casal & José Fernando Silva Neto & José Manuel Maside-Sanfiz, 2023. "Does corporate social performance improve bank efficiency? Evidence from European banks," Review of Managerial Science, Springer, vol. 17(4), pages 1399-1437, May.
    7. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2019. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency: Pre-Crisis Era Revisited," Working Papers of the African Governance and Development Institute. 19/085, African Governance and Development Institute..
    8. Simplice Anutechia Asongu, 2012. "Bank Efficiency and Openness in Africa: Do Income Levels Matter?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(2), pages 115-122, December.
    9. Adriel Martins de Freitas Branco & Alexandre Pereira Salgado Junior & Patrícia Benites Cava & Eduardo Falsarella Junior & Marco Antônio Alves de Souza Junior, 2017. "Efficiency of the Brazilian Banking System in 2014: A DEA-SBM Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(5), pages 1-2.
    10. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    11. Simplice A., Asongu, 2011. "Globalization, financial allocation efficiency and regional economic dynamics: asymmetric panel evidence from Africa," MPRA Paper 33901, University Library of Munich, Germany.
    12. Asongu, Simplice & Tchamyou, Vanessa, 2015. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency," MPRA Paper 71173, University Library of Munich, Germany.
    13. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    14. Sambracos, Evangelos & Maniati, Marina, 2015. "Technical Efficiency of Shipping Banks: A DEA Approach," MPRA Paper 63131, University Library of Munich, Germany.
    15. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
    16. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    17. Simar, Léopold & Wilson, Paul W., 2020. "Technical, allocative and overall efficiency: Estimation and inference," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1164-1176.
    18. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    19. Benjamin M. Tabak & Giovana L. Craveir & Daniel O. Cajueiro, 2011. "Bank Efficiency and Default in Brazil: Causality Tests," Working Papers Series 253, Central Bank of Brazil, Research Department.
    20. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    21. Alsaleh, Mohd & Abdul-Rahim, A.S., 2018. "Determinants of cost efficiency of bioenergy industry: Evidence from EU28 countries," Renewable Energy, Elsevier, vol. 127(C), pages 746-762.
    22. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    23. Miguel SARMIENTOO & Andr�s CEPEDA & Hernando MUTIS & Juan F. P�REZ, 2013. "Nueva Evidencia sobre la Eficiencia de la Banca," Archivos de Economía 10705, Departamento Nacional de Planeación.
    24. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    25. Thyago C. C. Nepomuceno & Ana Paula C. S. Costa, 2019. "Resource allocation with Time Series DEA applied to Brazilian Federal Saving banks," Economics Bulletin, AccessEcon, vol. 39(2), pages 1384-1392.
    26. Facundo Costa de Arguibel & Carolina Wittig & Juan Antonio Dip, 2023. "Estructura de Propiedad, Origen de Capital y Eficiencia Bancaria: Evidencia para A," Working Papers 251, Red Nacional de Investigadores en Economía (RedNIE).
    27. Bitar, Mohammad & Saad, Wadad & Benlemlih, Mohammed, 2016. "Bank risk and performance in the MENA region: The importance of capital requirements," Economic Systems, Elsevier, vol. 40(3), pages 398-421.
    28. Mingxuan Lu & Ruhe Xie & Peirong Chen & Yifeng Zou & Jie Tang, 2019. "Green Transportation and Logistics Performance: An Improved Composite Index," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    29. Fadzlan Sufian & Fakarudin Kamarudin, 2017. "Forced Mergers on Bank Efficiency and Productivity: Evidence from Semi-parametric Malmquist Productivity Index," Global Business Review, International Management Institute, vol. 18(1), pages 19-44, February.
    30. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2011. "The effects of loan portfolio concentration on Brazilian banks' return and risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3065-3076, November.
    31. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    32. Coert Erasmus, 2014. "An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)," Journal of Economics and Behavioral Studies, AMH International, vol. 6(4), pages 310-317.
    33. Muhammad Mohsin & Mohammad Nurunnabi & Jijian Zhang & Huaping Sun & Nadeem Iqbal & Robina Iram & Qaiser Abbas, 2021. "The evaluation of efficiency and value addition of IFRS endorsement towards earnings timeliness disclosure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1793-1807, April.
    34. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    35. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.
    36. Huichen Chiang, 2018. "The Efficiency Analysis Of Indonesian Financial Institutions," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 6(2), pages 1-5.
    37. Yüksel Akay Ünvan & Cansu Ergenç, 2022. "Financial Performance Analysis with the Fuzzy COPRAS and Entropy-COPRAS Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1577-1605, April.
    38. Sayed Mohammad Minhaj Uddin & Shakeb Akhtar & Furqan Qamar & Habiba Mughairi, 2025. "Dynamics of technical efficiency in the Indian banking sector: a metafrontier DEA approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2475-2510, June.
    39. Wanping Yang & Bingyu Zhao & Jinkai Zhao & Zhengda Li, 2019. "An Empirical Study on the Impact of Foreign Strategic Investment on Banking Sustainability in China," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    40. Benjamin M. Tabak & Daniel O. Cajueiro & Marina V. B. Dias, 2014. "The Adequacy of Deterministic and Parametric Frontiers to Analyze the Efficiency of Indian Commercial Banks," Working Papers Series 350, Central Bank of Brazil, Research Department.
    41. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    42. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    43. Thai V. H. Nguyen & Agyenim Boateng & Tra Thi Thu Pham, 2019. "Involuntary excess reserve and heterogeneous transmission of policy rates to bank lending rates in China," Empirical Economics, Springer, vol. 57(3), pages 1023-1044, September.
    44. Tan, Yong & Walheer, Barnabé, 2024. "Stability and economic performances in the banking industry: The case of China," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 326-345.
    45. Nidhi Agarwala & Sudarshan Maity & Tarak Nath Sahu, 2024. "Efficiency of Indian banks in fostering financial inclusion: an emerging economy perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 341-353, June.
    46. Abdullah Üstün & Gülay Barbarosoğlu, 2015. "Performance evaluation of Turkish disaster relief management system in 1999 earthquakes using data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1977-1996, January.
    47. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    48. Mingxuan Lu & Peirong Chen, 2024. "Traffic Safety, Fuel Tax Intensity and Sustainable Development Efficiency of Transportation: Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-17, July.
    49. Kai Zhang & Xinmiao Zhou, 2022. "Is Promoting Green Finance in Line with the Long-Term Market Mechanism? The Perspective of Chinese Commercial Banks," Mathematics, MDPI, vol. 10(9), pages 1-26, April.
    50. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    51. Ippoliti, Roberto & Falavigna, Greta, 2012. "Efficiency of the medical care industry: Evidence from the Italian regional system," European Journal of Operational Research, Elsevier, vol. 217(3), pages 643-652.
    52. Dorsaf Ben Aissia & Molka Ellouz, 2021. "Estimation of the efficiency of Tunisian bank branches using a stochastic frontier approach," SN Business & Economics, Springer, vol. 1(10), pages 1-19, October.
    53. Yudi Yang & Fan Yang & Xiajie Yi & Dongwei He, 2025. "How FinTech affects financial sustainability: Evidence from Chinese commercial banks using a three-stage network DEA-Malmquist model," Papers 2511.02608, arXiv.org.
    54. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    55. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2015. "Performance of microfinance institutions in achieving the poverty outreach and financial sustainability: When age and size matter?," MPRA Paper 69821, University Library of Munich, Germany.
    56. Abdullah Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    57. Bertha Elizabeth & Nanny Dewi & Aldrin Herwany, 2012. "The Analysis Of Factors That Influence Relative Efficiency Of General Banks After The Implementation Of Indonesia Banking Architecture," Working Papers in Business, Management and Finance 201201, Department of Management and Business, Padjadjaran University, revised Dec 2012.
    58. Young-Tae Chang & Nan Zhang, 2017. "Environmental efficiency of transportation sectors in China and Korea," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 68-93, March.
    59. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.
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    61. Zhishuo Zhang & Yao Xiao & Huayong Niu, 2022. "DEA and Machine Learning for Performance Prediction," Mathematics, MDPI, vol. 10(10), pages 1-23, May.
    62. Alperovych, Yan & Amess, Kevin & Wright, Mike, 2013. "Private equity firm experience and buyout vendor source: What is their impact on efficiency?," European Journal of Operational Research, Elsevier, vol. 228(3), pages 601-611.
    63. Tabak, Benjamin Miranda, 2013. "Financial Stability and Monetary Policy - The case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    64. Neil Kellard & Denise Osborn & Jerry Coakley & Dimitris K. Chronopoulos & Claudia Girardone & John C. Nankervis, 2015. "Double Bootstrap Confidence Intervals in the Two-Stage DEA Approach," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 653-662, September.
    65. Li, Yongjun & Xie, Jianhui & Wang, Meiqiang & Liang, Liang, 2016. "Super efficiency evaluation using a common platform on a cooperative game," European Journal of Operational Research, Elsevier, vol. 255(3), pages 884-892.
    66. Falavigna, Greta & Ippoliti, Roberto & Ramello, Giovanni B., 2018. "DEA-based Malmquist productivity indexes for understanding courts reform," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 31-43.
    67. Yong Li & Mancang Wang, 2012. "Capital regulation, monetary policy and asymmetric effects of commercial banks' efficiency," China Finance Review International, Emerald Group Publishing Limited, vol. 2(1), pages 5-26, January.
    68. Facundo Costa de Arguibel & Juan Antonio Dip & Gerardo Stvass, 2024. "Unravelling the Determinants of Banking Efficiency in Argentina: a two-stage Analysis of the Argentine Banking Sector," Working Papers 326, Red Nacional de Investigadores en Economía (RedNIE).
    69. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    70. Titus Ayobami Ojeyinka & Anthony Enisan Akinlo, 2021. "Does Bank Size Affect Efficiency? Evidence From Commercial Banks In Nigeria," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(1), pages 79-100.
    71. Chun-Yueh Lin, 2023. "Integrating the two-stage of non-radial DEA model and BCG methods to evaluate the performance with strategic trajectory: a case study of securities industry," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(3), pages 439-455, September.
    72. Zhang, Jianhua & Jiang, Chunxia & Qu, Baozhi & Wang, Peng, 2013. "Market concentration, risk-taking, and bank performance: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 149-157.
    73. Banker, Rajiv D. & Zheng, Zhiqiang (Eric) & Natarajan, Ram, 2010. "DEA-based hypothesis tests for comparing two groups of decision making units," European Journal of Operational Research, Elsevier, vol. 206(1), pages 231-238, October.
    74. Li-Huan Liao & Lei Chen & Junchao Wang, 2024. "A New Resource Allocation Multiple Criteria Decision-Making Method in a Two-Stage Inverse Data Envelopment Analysis Framework for the Sustainable Development of Chinese Commercial Banks," Sustainability, MDPI, vol. 16(4), pages 1-13, February.
    75. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    76. Aziz KUTLAR & Ali KABASAKAL & Adem BABACAN, 2015. "Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    77. Abdullah Korkut Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    78. Asongu Simplice, 2011. "Globalization, Financial Development and Regional Economic Dynamics: asymmetric panel evidence from Africa," Working Papers of the African Governance and Development Institute. 11/008, African Governance and Development Institute..
    79. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    80. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    81. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    82. Chaudhuri, Kausik & Kumbhakar, Subal C. & Sundaram, Lavanya, 2016. "Estimation of firm performance from a MIMIC model," European Journal of Operational Research, Elsevier, vol. 255(1), pages 298-307.
    83. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    84. Shi, Yu & Charles, Vincent & Zhu, Joe, 2025. "Bank financial sustainability evaluation: Data envelopment analysis with random forest and Shapley additive explanations," European Journal of Operational Research, Elsevier, vol. 321(2), pages 614-630.
    85. Roberto Ippoliti, 2015. "La riforma della geografia giudiziaria: efficienza tecnica e domanda di giustizia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 91-124.
    86. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    87. Ippoliti, Roberto, 2014. "Efficienza Tecnica e Geografia Giudiziaria," POLIS Working Papers 178, Institute of Public Policy and Public Choice - POLIS.
    88. Dipasha Sharma & Anil K. Sharma, 2015. "Influence of Turbulent Macroeconomic Environment on Productivity Change of Banking Sector: Empirical Evidence from India," Global Business Review, International Management Institute, vol. 16(3), pages 439-462, June.
    89. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.
    90. Bitar, Mohammad & Pukthuanthong, Kuntara & Walker, Thomas, 2018. "The effect of capital ratios on the risk, efficiency and profitability of banks: Evidence from OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 227-262.
    91. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    92. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    93. Lutfi, & Suyatno,, 2019. "Determinants of Bank Efficiency: Evidence from Regional Development Banks," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 59-74.
    94. Yuanxin Peng & Huiyu Lin & Jay Lee, 2023. "Analyzing the mechanism of spatial–temporal change of green total factor productivity in Yangtze Delta Region of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 14261-14282, December.
    95. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
    96. Serhat Y ksel & Shahriyar Mukhtarov & Elvin Mammadov, 2016. "Comparing the Efficiency of Turkish and Azerbaijani Banks: An Application with Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1059-1067.
    97. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
    98. Thiago Christiano Silva & Benjamin Miranda Tabak & Marcela Tetzner Laiz, 2019. "The Finance-Growth Nexus: the role of banks," Working Papers Series 506, Central Bank of Brazil, Research Department.
    99. Ulaş Ünlü & Neşe Yalçın & Nuri Avşarlıgil, 2022. "Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach," Mathematics, MDPI, vol. 10(13), pages 1-22, July.
    100. Lapinskaitė, Indrė & Stasytytė, Viktorija & Skvarciany, Viktorija, 2025. "Unveiling how efficiently sustainability transforms into intangible assets of financial institutions," Research in International Business and Finance, Elsevier, vol. 76(C).
    101. Alqahtani, Faisal & Mayes, David G. & Brown, Kym, 2017. "Islamic bank efficiency compared to conventional banks during the global crisis in the GCC region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 58-74.

  55. Daniel O. Cajueiro & Jose A. Divino & Benjamin M. Tabak, 2009. "Forecasting the Yield Curve for Brazil," Working Papers Series 197, Central Bank of Brazil, Research Department.

    Cited by:

    1. Joao Frois Caldeira & Guilherme Valle Moura & Marcelo Savino Portugal, 2011. "Efficient Interest Ratecurve Estimation And Forecasting In Brazil," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 133, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.

  56. Eduardo José Araújo Lima & Benjamin Miranda Tabak, 2008. "Exchange Rate Dynamics and the Relationship between the Random Walk Hypothesis and Official Interventions," Working Papers Series 173, Central Bank of Brazil, Research Department.

    Cited by:

    1. Lazăr, Dorina & Todea, Alexandru & Filip, Diana, 2012. "Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets," Economic Systems, Elsevier, vol. 36(3), pages 338-350.

  57. Eduardo José Araújo Lima & Benjamin Miranda Tabak, 2007. "Building Confidence Intervals with Block Bootstraps for the Variance Ratio Test of Predictability," Working Papers Series 151, Central Bank of Brazil, Research Department.

    Cited by:

    1. Serafini, Daniel Guedine & Pereira, Pedro L. Valls, 2010. "Sistemas técnicos de trading no mercado de ações brasileiro: testando a hipótese de eficiência de mercado em sua forma fraca e avaliando se a análise técnica agrega valor," Textos para discussão 260, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  58. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.

    Cited by:

    1. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    2. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.
    3. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    4. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    5. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    6. da Silva Filho, Antônio Carlos & Maganini, Natália Diniz & de Almeida, Eduardo Fonseca, 2018. "Multifractal analysis of Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 954-967.
    7. Zhuang, Xiaoyang & Wei, Yu & Zhang, Bangzheng, 2014. "Multifractal detrended cross-correlation analysis of carbon and crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 113-125.
    8. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    9. Dutta, Srimonti & Ghosh, Dipak & Samanta, Shukla, 2014. "Multifractal detrended cross-correlation analysis of gold price and SENSEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 195-204.
    10. Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Espinosa-Paredes, Gilberto, 2012. "Is the US stock market becoming weakly efficient over time? Evidence from 80-year-long data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5643-5647.
    11. M. Bel'en Arouxet & Aurelio F. Bariviera & Ver'onica E. Pastor & Victoria Vampa, 2020. "Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent," Papers 2009.05652, arXiv.org.
    12. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    13. Cao, Guangxi & Xu, Longbing & Cao, Jie, 2012. "Multifractal detrended cross-correlations between the Chinese exchange market and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4855-4866.
    14. Matthieu Garcin, 2019. "Hurst Exponents And Delampertized Fractional Brownian Motions," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-26, August.
    15. Ruan, Qingsong & Jiang, Wei & Ma, Guofeng, 2016. "Cross-correlations between price and volume in Chinese gold markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 10-22.
    16. Erhard Reschenhofer & Manveer K. Mangat, 2020. "Reducing the Bias of the Smoothed Log Periodogram Regression for Financial High-Frequency Data," Econometrics, MDPI, vol. 8(4), pages 1-15, October.
    17. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    18. Walther, Thomas & Klein, Tony & Thu, Hien Pham & Piontek, Krzysztof, 2017. "True or spurious long memory in European non-EMU currencies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 217-230.
    19. Maganini, Natália Diniz & Da Silva Filho, Antônio Carlos & Lima, Fabiano Guasti, 2018. "Investigation of multifractality in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 258-271.
    20. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    21. Prakash Ranjan, Ravi & Bhattachharyya, Malay, 2018. "Does investor attention to energy stocks exhibit power law?," Energy Economics, Elsevier, vol. 75(C), pages 573-582.
    22. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    23. Benjamin R Auer, 2016. "Pure return persistence, Hurst exponents and hedge fund selection – A practical note," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 319-330, September.
    24. Abounoori, Esmaiel & Shahrazi, Mahdi & Rasekhi, Saeed, 2012. "An investigation of Forex market efficiency based on detrended fluctuation analysis: A case study for Iran," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3170-3179.
    25. Auer, Benjamin R. & Hoffmann, Andreas, 2016. "Do carry trade returns show signs of long memory?," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 201-208.
    26. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.

  59. Marcos M. Abe & Eui J. Chang & Benjamin M. Tabak, 2007. "Forecasting Exchange Rate Density using Parametric Models: The Case of Brazil," Working Papers Series 138, Central Bank of Brazil, Research Department.

    Cited by:

    1. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    2. José Renato Haas Ornelas, 2014. "Assessing the Forecast Ability of Risk-Neutral Densities and Real-World Densities from Emerging Markets Currencies," Working Papers Series 370, Central Bank of Brazil, Research Department.
    3. Ornelas, José Renato Haas, 2016. "The Forecast Ability of Option-implied Densities from Emerging Markets Currencies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(1), March.

  60. Jose Vicente & Benjamin M. Tabak, 2007. "Forecasting Bonds Yields in the Brazilian Fixed Income Market," Working Papers Series 141, Central Bank of Brazil, Research Department.

    Cited by:

    1. Montes, Gabriel Caldas & Maia, João Pedro Neves, 2023. "Who speaks louder, financial instruments or credit rating agencies? Analyzing the effects of different sovereign risk measures on interest rates in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    2. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    3. Matsumura, Marco & Moreira, Ajax & Vicente, José, 2011. "Forecasting the yield curve with linear factor models," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 237-243.
    4. Rui Chen & Jiri Svec & Maurice Peat, 2016. "Forecasting the Government Bond Term Structure in Australia," Australian Economic Papers, Wiley Blackwell, vol. 55(2), pages 99-111, June.
    5. Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando, 2017. "Forecasting the Brazilian yield curve using forward-looking variables," International Journal of Forecasting, Elsevier, vol. 33(1), pages 121-131.
    6. Dauwe, Alexander & Moura, Marcelo L., 2011. "Forecasting the term structure of the Euro Market using Principal Component Analysis," Insper Working Papers wpe_233, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    7. Aryo Sasongko & Cynthia Afriani Utama & Buddi Wibowo & Zaäfri Ananto Husodo, 2019. "Modifying Hybrid Optimisation Algorithms to Construct Spot Term Structure of Interest Rates and Proposing a Standardised Assessment," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 957-1003, October.
    8. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    9. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
    10. Makram El-Shagi & Lunan Jiang, 2019. "Efficient Dynamic Yield Curve Estimation in Emerging Financial Markets," CFDS Discussion Paper Series 2019/4, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    11. Almeida, Caio & Gomes, Romeu & Leite, André & Vicente, José, 2008. "Movimentos da Estrutura a Termo e Critérios de Minimização do Erro de Previsão em um Modelo Paramétrico Exponencial," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(4), December.
    12. Leite, André Luís & Filho, Romeu Braz Pereira Gomes & Vicente, José Valentim Machado, 2010. "Forecasting the yield curve: A statistical model with market survey data," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 108-112, March.
    13. Marco Shinobu Matsumura & Ajax Reynaldo Bello Moreira & José Valentim Machado Vicente, 2010. "Forecasting the Yield Curve with Linear Factor Models," Working Papers Series 223, Central Bank of Brazil, Research Department.
    14. Tabak, B.M. & Sollaci, A.B. & Gomes, G.M. & Cajueiro, D.O., 2012. "Forecasting the yield curve for the Euro region," Economics Letters, Elsevier, vol. 117(2), pages 513-516.
    15. Wenyang Wang & Muxin Chen & Yuqiang Xu & Xiaojun Tong & Dongchu Sun & Chong He, 2026. "Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types," Computational Statistics, Springer, vol. 41(1), pages 1-26, January.
    16. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.
    17. Yifeng Yan & Ju'e Guo, 2015. "The Sovereign Yield Curve and the Macroeconomy in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 415-441, August.
    18. Piero C. Kauffmann & Hellinton H. Takada & Ana T. Terada & Julio M. Stern, 2022. "Learning Forecast-Efficient Yield Curve Factor Decompositions with Neural Networks," Econometrics, MDPI, vol. 10(2), pages 1-15, March.
    19. Leo Krippner, 2012. "Modifying Gaussian term structure models when interest rates are near the zero lower bound," Reserve Bank of New Zealand Discussion Paper Series DP2012/02, Reserve Bank of New Zealand.
    20. Thiago Christiano Silva & Solange Maria Guerra & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2018. "Interconnectedness, Firm Resilience and Monetary Policy," Working Papers Series 478, Central Bank of Brazil, Research Department.
    21. Eduardo Mineo & Airlane Pereira Alencar & Marcelo Moura & Antonio Elias Fabris, 2020. "Forecasting the Term Structure of Interest Rates with Dynamic Constrained Smoothing B-Splines," JRFM, MDPI, vol. 13(4), pages 1-14, April.
    22. Fernandes, Marcelo & Nunes, Clemens & Reis, Yuri, 2021. "What Drives the Nominal Yield Curve in Brazil?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(2), April.
    23. Leo Krippner, 2009. "A theoretical foundation for the Nelson and Siegel class of yield curve models," Reserve Bank of New Zealand Discussion Paper Series DP2009/10, Reserve Bank of New Zealand.
    24. Yasir Riaz & Choudhry T. Shehzad & Zaghum Umar, 2021. "The sovereign yield curve and credit ratings in GIIPS," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 895-916, September.
    25. Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.
    26. Alexander Dauwe & Marcelo L. Moura, 2011. "Forecasting the term structure of the Euro Market using Principal Component Analysis," Business and Economics Working Papers 135, Unidade de Negocios e Economia, Insper.
    27. David Y. Aharon & Zaghum Umar & Xuan Vinh Vo, 2021. "Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.

  61. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.

    Cited by:

    1. da Rosa München, Douglas, 2022. "The effect of financial distress on capital structure: The case of Brazilian banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 296-304.

  62. Benjamin Miranda Tabak & Solange Maria Guerra & Eduardo José Araújo Lima & Eui Jung Chang, 2007. "The Stability-Concentration Relationship in the Brazilian Banking System," Working Papers Series 145, Central Bank of Brazil, Research Department.

    Cited by:

    1. Peterson K. Ozili, 2020. "Does competence of central bank governors influence financial stability?," Future Business Journal, Springer, vol. 6(1), pages 1-20, December.
    2. Miguel Ángel Morales Mosquera, 2011. "Concentración y estabilidad financiero: el caso del sistema bancario colombiano," Temas de Estabilidad Financiera 058, Banco de la Republica de Colombia.
    3. Arjan Tushaj & Valentina Sinaj, 2020. "Does Banking Concentration Affect Non-Performing Loans in Albania?," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1074-1083.
    4. Bretschger, Lucas & Kappel, Vivien & Werner, Therese, 2012. "Market concentration and the likelihood of financial crises," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3336-3345.
    5. Vithessonthi, Chaiporn, 2016. "Deflation, bank credit growth, and non-performing loans: Evidence from Japan," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 295-305.
    6. Calice, Pietro & Leonida, Leone & Muzzupappa, Eleonora, 2021. "Concentration-stability vs concentration-fragility. New cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    7. Benjamin M. Tabak & Daniel O. Cajueiro & Dimas M. Fazio, 2010. "Financial Fragility in a General Equilibrium Model: the Brazilian case," Working Papers Series 229, Central Bank of Brazil, Research Department.
    8. Chang, Eui Jung & Lima, Eduardo José Araújo & Guerra, Solange M. & Tabak, Benjamin M., 2008. "Measures of Interbank Market Structure: An Application to Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.
    9. Atellu Antony & Muriu Peter & Sule Odhiambo, 2021. "The Role of Banking Concentration on Financial Stability," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(6), pages 103-103, June.
    10. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "Profit, Cost and Scale Efficiency for Latin American Banks: Concentration-Performance Relationship," Working Papers Series 244, Central Bank of Brazil, Research Department.
    11. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2011. "The effects of loan portfolio concentration on Brazilian banks' return and risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3065-3076, November.
    12. Miguel Ángel Morales Mosquera & Wilmar Cabrera & Laura Capera & Dairo Estrada, 2012. "Un Mapa de Riesgo de Crédito para el Sistema Financiero Colombiano," Temas de Estabilidad Financiera 068, Banco de la Republica de Colombia.
    13. Sergio Edwin Torrico Salamanca, "undated". "Macro credit scoring como propuesta para cuantificar el riesgo de crédito," Investigación & Desarrollo 0814, Universidad Privada Boliviana.
    14. Lartey, Theophilus & James, Gregory A. & Danso, Albert & Boateng, Agyenim, 2023. "Interbank market structure, bank conduct, and performance: Evidence from the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 1-25.
    15. Wojcicka Karolina, 2016. "The Relationship Between Concentration of the Banking Sector in Poland and Its Soundness," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 12(4), pages 43-57, December.
    16. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    17. Javier Sánchez García & Salvador Cruz Rambaud, 2024. "The network econometrics of financial concentration," Review of Managerial Science, Springer, vol. 18(7), pages 2007-2045, July.
    18. Benjamin Miranda Tabak & Guilherme Maia Rodrigues Gomes & Maurício da Silva Medeiros Júnior, 2012. "The Impact of Market Power at Bank Level in Risk-taking: the Brazilian case," Working Papers Series 283, Central Bank of Brazil, Research Department.
    19. Sarkar, Sanjukta & Sensarma, Rudra, 2016. "The Relationship between Competition and Risk Taking Behavior of Indian Banks," MPRA Paper 81065, University Library of Munich, Germany.
    20. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.
    21. Chaiporn Vithessonthi, 2016. "Consequences of Bank Loan Growth: Evidence from Asia," PIER Discussion Papers 19, Puey Ungphakorn Institute for Economic Research.
    22. Jayakumar, Manju & Pradhan, Rudra P. & Dash, Saurav & Maradana, Rana P. & Gaurav, Kunal, 2018. "Banking competition, banking stability, and economic growth: Are feedback effects at work?," Journal of Economics and Business, Elsevier, vol. 96(C), pages 15-41.
    23. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2013. "Systemically important banks and financial stability: The case of Latin America," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3855-3866.
    24. Atilla Çifter, 2015. "Bank concentration and non-performing loans in Central and Eastern European countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 117-137, February.
    25. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

  63. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Periklis Gogas & Ioannis Pragidis, 2012. "GDP trend deviations and the yield spread: the case of eight E.U. countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 226-237, January.
    2. Periklis Gogas & Ioannis Pragidis, 2010. "Does the Interest Risk Premium Predict Housing Prices?," DUTH Research Papers in Economics 1-2010, Democritus University of Thrace, Department of Economics.
    3. Periklis Gogas & Ioannis Pragidis, 2010. "GDP Trend Deviations and the Yield Spread: the Case of Five E.U. Countries," Papers 1005.1326, arXiv.org.
    4. Dionisios Chionis & Periklis Gogas & Ioannis Pragidis, 2010. "Predicting European Union Recessions in the Euro Era: The Yield Curve as a Forecasting Tool of Economic Activity," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 1-10, February.

  64. Osmani Teixeira de Carvalho Guillén & Benjamin M. Tabak?, 2007. "Characterizing The Brazilian Term Structure Of Interest Rates," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 108, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Thiago Trafane Oliveira Santos, 2020. "A General Characterization of the Capital Cost and the Natural Interest Rate: an application for Brazil," Working Papers Series 524, Central Bank of Brazil, Research Department.
    2. Carlos David Ardila-Dueñas & Hernán Rincón-Castro, 2019. "¿Cómo y qué tanto impacta la deuda pública a las tasas de interés de mercado?," Borradores de Economia 1077, Banco de la Republica de Colombia.
    3. Dániel Horváth & Péter Kálmán & Zalán Kocsis & Imre Ligeti, 2014. "Short-rate expectations and term premia: experiences from Hungary and other emerging market economies," BIS Papers chapters, in: Bank for International Settlements (ed.), The transmission of unconventional monetary policy to the emerging markets, volume 78, pages 185-196, Bank for International Settlements.
    4. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2012. "Evaluating the existence of structural change in the brazilian term structure of interest: evidence based on cointegration models with structural break," Textos para discussão 314, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    5. Burak Saltoglu & M. Ege Yazgan, 2012. "The Role of Regime Shifts in the Term Structure of Interest Rates: Further Evidence from an Emerging Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 48-63, November.

  65. Daniel O. Cajueiro & Benjamin M. Tabak, 2007. "The role of banks in the Brazilian Interbank Market: Does bank type matter?," Working Papers Series 130, Central Bank of Brazil, Research Department.

    Cited by:

    1. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    2. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    3. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2016. "Structure and Dynamics of the Global Financial Network," Working Papers Series 439, Central Bank of Brazil, Research Department.
    4. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    5. Gogas, Periklis & Gupta, Rangan & Miller, Stephen M. & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2017. "Income inequality: A complex network analysis of US states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 423-437.
    6. Andrey Sokolov & Rachel Webster & Andrew Melatos & Tien Kieu, 2012. "Loan and nonloan flows in the Australian interbank network," Papers 1202.3182, arXiv.org.
    7. Stefania Vitali & Stefano Battiston, 2013. "The Community Structure of the Global Corporate Network," Papers 1301.2363, arXiv.org.
    8. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    9. Toivanen, Mervi, 2013. "Contagion in the interbank network: An epidemiological approach," Bank of Finland Research Discussion Papers 19/2013, Bank of Finland.
    10. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    11. Carlos Castro & Juan Sebastian Ordonez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," Documentos de Trabajo 9651, Universidad del Rosario.
    12. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    13. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    14. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    15. Elosegui, Pedro & Forte, Federico D. & Montes-Rojas, Gabriel, 2022. "Network structure and fragmentation of the Argentinean interbank markets," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(3).
    16. Carlos Castro & Juan S. OrdoÔøΩez & Sergio Preciado, 2016. "Network externalities across financial institutions," Documentos de Trabajo 14287, Universidad del Rosario.
    17. Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
    18. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang & Uryasev, Stan, 2016. "A financial network perspective of financial institutions’ systemic risk contributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 183-196.
    19. Caballero, Julián, 2012. "Banking Crises and Financial Integration," IDB Publications (Working Papers) 4198, Inter-American Development Bank.
    20. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    21. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    22. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
    23. Cajueiro, Daniel O., 2010. "Optimal navigation for characterizing the role of the nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1945-1954.
    24. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    25. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    26. Vandermarliere, Benjamin & Karas, Alexei & Ryckebusch, Jan & Schoors, Koen, 2015. "Beyond the power law: Uncovering stylized facts in interbank networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 443-457.
    27. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach," MPRA Paper 67223, University Library of Munich, Germany.
    28. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    29. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    30. Haiming Long & Ji Zhang & Nengyu Tang, 2017. "Does network topology influence systemic risk contribution? A perspective from the industry indices in Chinese stock market," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-19, July.
    31. Roukny, Tarik & Georg, Co-Pierre & Battiston, Stefano, 2014. "A network analysis of the evolution of the German interbank market," Discussion Papers 22/2014, Deutsche Bundesbank.
    32. Periklis Gogas & Rangan Gupta & Stephen M. Miller & Theophilos Papadimitriou & Georgios Antonios Sarantitis, 2016. "Income Inequality: A State-by-State Complex Network Analysis," Working papers 2016-18, University of Connecticut, Department of Economics.
    33. Rodrigo César de Castro Miranda & Benjamin Miranda Tabak, 2013. "Contagion Risk within Firm-Bank Bivariate Networks," Working Papers Series 322, Central Bank of Brazil, Research Department.
    34. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    35. Kim, Minjung & Kim, Beom Jun, 2022. "Defense strategies against cascading failures in networks: “Too-big-to-fail” and “too-small-to-fail”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    36. Zhou, Yaoming & Wang, Junwei, 2018. "Efficiency of complex networks under failures and attacks: A percolation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 658-664.
    37. Michele Manna & Carmela Iazzetta, 2009. "The topology of the interbank market: developments in Italy since 1990," Temi di discussione (Economic working papers) 711, Bank of Italy, Economic Research and International Relations Area.
    38. Kocheturov, A. & Batsyn, M. & Pardalos, P., 2015. "Dynamics of Cluster Structures in Stock Market Networks," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 12-30.
    39. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    40. Martínez, Constanza & León, Carlos, 2016. "The cost of collateralized borrowing in the Colombian money market: Does connectedness matter?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 193-205.
    41. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2017. "Systemic Risk in Financial Systems: a feedback approach," Working Papers Series 461, Central Bank of Brazil, Research Department.
    42. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    43. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    44. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
    45. Xu, Tao & He, Jianmin & Li, Shouwei, 2016. "A dynamic network model for interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 131-138.
    46. Sokolov, Andrey & Webster, Rachel & Melatos, Andrew & Kieu, Tien, 2012. "Loan and nonloan flows in the Australian interbank network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(9), pages 2867-2882.
    47. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    48. Edson Bastos Santos & Rama Cont, 2010. "The Brazilian Interbank Network Structure and Systemic Risk," Working Papers Series 219, Central Bank of Brazil, Research Department.
    49. Nadine Walters & Gusti Van Zyl & Conrad Beyers, 2019. "Financial Contagion In Large, Inhomogeneous Stochastic Interbank Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-26, March.
    50. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    51. Fuad Aleskerov & Irina Andrievskaya & Elena Permjakova, 2014. "Key Borrowers Detected By The Intensities Of Their Short-range Interactions," HSE Working papers WP BRP 33/FE/2014, National Research University Higher School of Economics.
    52. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

  66. Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak & Daniel O. Cajueiro, 2006. "Investigação da Memória de Longo Prazo na Taxa de Câmbio no Brasil," Working Papers Series 113, Central Bank of Brazil, Research Department.

    Cited by:

    1. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    2. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.
    3. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    4. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    5. Marta Areosa & Waldyr Areosa, 2006. "The Inequality Channel of Monetary Transmission," Working Papers Series 114, Central Bank of Brazil, Research Department.
    6. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    7. Flávia Mourão Graminho, 2006. "A Neoclassical Analysis of the Brazilian "Lost-Decades"," Working Papers Series 123, Central Bank of Brazil, Research Department.
    8. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    9. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    10. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    11. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    12. de Souza Ramser, Claudia Aline & Souza, Adriano Mendonça & Souza, Francisca Mendonça & da Veiga, Claudimar Pereira & da Silva, Wesley Vieira, 2019. "The importance of principal components in studying mineral prices using vector autoregressive models: Evidence from the Brazilian economy," Resources Policy, Elsevier, vol. 62(C), pages 9-21.
    13. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.
    14. Benjamin M. Tabak, 2006. "The Dynamic Relationship between Stock Prices and Exchange Rates: evidence for Brazil," Working Papers Series 124, Central Bank of Brazil, Research Department.

  67. Eduardo J. A. Lima & Felipe Luduvice & Benjamin M. Tabak, 2006. "Forecasting Interest Rates: an application for Brazil," Working Papers Series 120, Central Bank of Brazil, Research Department.

    Cited by:

    1. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    2. Jose Vicente & Benjamin M. Tabak, 2007. "Forecasting Bonds Yields in the Brazilian Fixed Income Market," Working Papers Series 141, Central Bank of Brazil, Research Department.
    3. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.
    4. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    5. Sanjay Sehgal & Kumar Bijoy & Florent Deisting, 2011. "Modeling and Forecasting Debt Market Yields : Evidence From India," Post-Print hal-01881922, HAL.
    6. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    7. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    8. Almeida, Thiago Ramos, 2024. "Estimating time-varying factors’ variance in the string-term structure model with stochastic volatility," Research in International Business and Finance, Elsevier, vol. 70(PA).
    9. Flávia Mourão Graminho, 2006. "A Neoclassical Analysis of the Brazilian "Lost-Decades"," Working Papers Series 123, Central Bank of Brazil, Research Department.
    10. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    11. Barbedo, Claudio H.S. & de Melo, Eduardo F.L., 2012. "Joint dynamics of Brazilian interest rate yields and macro variables under a no-arbitrage restriction," Journal of Economics and Business, Elsevier, vol. 64(5), pages 364-376.
    12. Almeida, Caio & Gomes, Romeu & Leite, André & Vicente, José, 2008. "Movimentos da Estrutura a Termo e Critérios de Minimização do Erro de Previsão em um Modelo Paramétrico Exponencial," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(4), December.
    13. Leite, André Luís & Filho, Romeu Braz Pereira Gomes & Vicente, José Valentim Machado, 2010. "Forecasting the yield curve: A statistical model with market survey data," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 108-112, March.
    14. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    15. Fernandes, Marcelo & Nunes, Clemens & Reis, Yuri, 2021. "What Drives the Nominal Yield Curve in Brazil?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(2), April.
    16. Benjamin M. Tabak, 2006. "The Dynamic Relationship between Stock Prices and Exchange Rates: evidence for Brazil," Working Papers Series 124, Central Bank of Brazil, Research Department.

  68. Theodore M. Barnhill & Marcos R. Souto & Benjamin M. Tabak, 2006. "An Analysis of Off-Site Supervision of Banks' Profitability, Risk and Capital Adequacy: a portfolio simulation approach applied to brazilian banks," Working Papers Series 117, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    4. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    5. Francisco Vazquez & Benjamin M. Tabak & Marcos Souto, 2010. "A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector," Working Papers Series 226, Central Bank of Brazil, Research Department.
    6. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    7. Barnhill, Theodore M. & Souto, Marcos Rietti, 2008. "Systemic bank risk in Brazil: an assessment of correlated market, credit, sovereign and inter-bank risk in an environment with stochastic volatilities and correlations," Discussion Paper Series 2: Banking and Financial Studies 2008,13, Deutsche Bundesbank.

  69. Daniel O. Cajueiro & Benjamin M. Tabak, 2006. "Econophysics of interest rates and the role of monetary policy," Papers physics/0607246, arXiv.org.

    Cited by:

    1. Saito, Yuta, 2024. "Expectations for the MPC chair and interest rate persistence," Mathematical Social Sciences, Elsevier, vol. 128(C), pages 25-30.
    2. Zhu, Yanli & Chen, Haiqiang, 2017. "The asymmetry of U.S. monetary policy: Evidence from a threshold Taylor rule with time-varying threshold values," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 522-535.
    3. Selçuk BAYRACI, 2017. "Long-memory, self-similarity and scaling of the long-term government bond yields: Evidence from Turkey and the USA," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(612), A), pages 71-82, Autumn.

  70. José L. B. Fernandes & Juan Ignacio Peña & Benjamin M. Tabak, 2006. "Myopic Loss Aversion and House-Money Effect Overseas: an experimental approach," Working Papers Series 115, Central Bank of Brazil, Research Department.

    Cited by:

    1. Morais, Marcleiton Ribeiro & Schoti, Camila & Resende, José Guilherme de Lara & Tabak, Benjamin Miranda, 2023. "Limits to Myopic loss aversion and learning," Economics Letters, Elsevier, vol. 229(C).

  71. Eui Jung Chang & Benjamin Miranda Tabak, 2006. "Extração de Informação de Opções Cambiais no Brasil," Working Papers Series 104, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    4. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    5. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    6. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    7. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.

  72. Benjamin M. Tabak, 2006. "The Dynamic Relationship between Stock Prices and Exchange Rates: evidence for Brazil," Working Papers Series 124, Central Bank of Brazil, Research Department.

    Cited by:

    1. Dilip Kumar & S. Maheswaran, 2013. "Return, Volatility and Risk Spillover from Oil Prices and the US Dollar Exchange Rate to the Indian Industrial Sectors," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(1), pages 61-91, February.
    2. Manish Kumar, 2010. "Modelling Exchange Rate Returns Using Non-linear Models," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(1), pages 101-125, January.
    3. Bashir, Usman & Yu, Yugang & Hussain, Muntazir & Zebende, Gilney F., 2016. "Do foreign exchange and equity markets co-move in Latin American region? Detrended cross-correlation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 889-897.
    4. Nenavath Sreenu, 2023. "Effect of Exchange Rate volatility and inflation on stock market returns Dynamics - evidence from India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 836-843, June.
    5. Yang, Liansheng & Zhu, Yingming & Wang, Yudong & Wang, Yiqi, 2016. "Multifractal detrended cross-correlations between crude oil market and Chinese ten sector stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 255-265.
    6. Muhammad Ali Faisal & Murat Donduran, 2025. "A Two-Stage Analysis of Interaction Between Stock and Exchange Rate Markets: Evidence from Turkey," Annals of Data Science, Springer, vol. 12(1), pages 171-198, February.
    7. Tran Mong Uyen Ngan, 2016. "Relationship between Foreign Exchange Rate and Stock Price of Commercial Joint Stock Banks: Evidence from Vietnam," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 193-193, July.
    8. Phiri, Andrew, 2018. "Structural changes in exchange rate-stock returns dynamics in South Africa: Examining the role of crisis and new trading platform," MPRA Paper 85826, University Library of Munich, Germany.
    9. Sukhmani Kaur & Shalini Aggarwal & Vikas Arora, 2025. "Co Movement of Stock Market of BRICS with G7 Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(2), pages 327-356, June.
    10. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.
    11. Kabir, Mustafa & Masih, Mansur, 2019. "Portfolio diversification between exchange rates and islamic stocks: evidence from the USA, Euro area, Japan and Malaysia," MPRA Paper 100574, University Library of Munich, Germany.
    12. de Mendonça, Helder Ferreira & Díaz, Raime Rolando Rodríguez, 2023. "Can ignorance about the interest rate and macroeconomic surprises affect the stock market return? Evidence from a large emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    13. Tri Nguyen & Quang Bui & Tan Nguyen, 2016. "Causal Correlation between Exchange Rate and Stock Index: Evidence from VN-Index," Asian Social Science, Canadian Center of Science and Education, vol. 12(8), pages 1-43, August.
    14. Gary Tian & Shiguang Ma, 2010. "The relationship between stock returns and the foreign exchange rate: the ARDL approach," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 15(4), pages 490-508.
    15. Godfrey Akileng & Eric Nzibonera & Micheal Mutegana, 2019. "The Influence of Foreign Exchange Volatility, Interest Rates on the Stock Performance of Uganda Securities Exchange," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 8(2), pages 1-1.
    16. Bram Daelemans & Joseph P. Daniels & Farrokh Nourzad, 2018. "Free Trade Agreements and Volatility of Stock Returns and Exchange Rates: Evidence from NAFTA," Open Economies Review, Springer, vol. 29(1), pages 141-163, February.
    17. Sekhar M. Amba & Binh H. Nguyen, 2019. "Exchange Rate And Equity Price Relationship: Empirical Evidence From Mexican And Canadian Markets," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 13(2), pages 33-43.
    18. Kal, Süleyman Hilmi & Arslaner, Ferhat & Arslaner, Nuran, 2015. "The dynamic relationship between stock, bond and foreign exchange markets," Economic Systems, Elsevier, vol. 39(4), pages 592-607.
    19. Charles Kwofie & Richard Kwame Ansah, 2018. "A Study of the Effect of Inflation and Exchange Rate on Stock Market Returns in Ghana," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2018, pages 1-8, March.
    20. Manish KUMAR, 2009. "Exploiting The Information Of Stock Market To Forecast Exchange Rate Movements," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 56, pages 563-575, November.
    21. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    22. Erick Lusekelo Mwambuli & Zhang Xianzhi & Zakayo S. Kisava, 2016. "Volatility Spillover Effects Between Stock Prices and Exchange Rates in Emerging Economies: Evidence from Turkey," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 343-359, December.
    23. Marcelo Fernandes & Cristina M. Scherrer, 2018. "Price discovery in dual‐class shares across multiple markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 129-155, January.
    24. Tanveer Bagh & Tahir Azad & Sadaf Razzaq & Idrees Liaqat & Muhammad Asif Khan, 2017. "The Impact of Exchange Rate Volatility on Stock Index: Evidence from Pakistan Stock Exchange (PSX)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 70-86, July.
    25. Jinghua Wang & Geoffrey Ngene, 2018. "Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 199-218, July.
    26. T. G. Saji & V. P. Joshith & T. A. Binoy & K. Sravana, 2024. "Analyzing Nexus between Crude Oil, Gold, Dollar and Equity Markets with Structural Break: ARDL Evidence from India," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 572-581, May.
    27. Abbas Ghulam & Bhowmik Roni & Koju Laxmi & Wang Shouyang, 2017. "Cointegration and Causality Relationship Between Stock Market, Money Market and Foreign Exchange Market in Pakistan," Journal of Systems Science and Information, De Gruyter, vol. 5(1), pages 1-20, February.
    28. Juan Carlos Cuestas & Bo Tang, 2015. "Exchange Rate Changes and Stock Returns in China: A Markov Switching SVAR Approach," Working Papers 2015024, The University of Sheffield, Department of Economics.
    29. Uma Murthy & Paul Anthony & Rubana Vighnesvaran, 2016. "Factors Affecting Kuala Lumpur Composite Index (KLCI) Stock Market Return in Malaysia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 122-122, December.
    30. Letícia P D Mortoza & José R C Piqueira, 2017. "Measuring complexity in Brazilian economic crises," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-12, March.
    31. Mehmet PEKKAYA & Ersin AÇIKGÖZ & Veli YILANCI, 2017. "Panel causality analysis between exchange rates and stock indexes for fragile five," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 33-44, Summer.
    32. Gözde YILDIRIM, Zafer ADALI, 2018. "Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    33. Hande Aksoz Yilmaz & Fatih Guzel, 2021. "How Do the Exchange Rates Affect the Sector Indices? A Dynamic Panel Data Analysis for Borsa Istanbul," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(71-2), pages 411-434, December.

  73. Benjamin Miranda Tabak & Sandro Canesso de Andrade & Eui Jung Chang, 2004. "Tracking Brazilian Exchange Rate Volatility," Econometric Society 2004 Far Eastern Meetings 487, Econometric Society.

    Cited by:

    1. Osei-Fosu & Baba Insah Anthony & Ofori-Boateng Kenneth, 2015. "Real Exchange Rate Volatility and Foreign Direct Investment Inflows: The Ghanaian Experience," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(6), pages 336-344.

  74. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    4. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    5. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    6. Júlio Cesar Albuquerque Bastos & Gabriel Caldas Montes, 2011. "Metasde Inflação E Estrutura A Termo Das Taxas De Juros - Uma Análise Dainfluência Da Credibilidade Sobre O Spread Da Taxa De Juros De Longoprazo No Brasil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 142, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    8. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    9. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    10. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    11. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    12. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    13. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    14. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.
    15. Cysne, Rubens Penha, 2005. "What happens after the central bank of Brazil increases the target interbank rate by 1%?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 584, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.

  75. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    4. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    5. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    6. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    7. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    8. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    9. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    10. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    11. Maria da Glória D. S. Araújo & Mirta Bugarin & Marcelo Kfoury Muinhos & Jose Ricardo C. Silva, 2006. "The Effect of Adverse Supply Shocks on Monetary Policy and Output," Working Papers Series 103, Central Bank of Brazil, Research Department.
    12. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    13. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    14. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    15. Aragón, Edilean Kleber da Silva Bejarano & Portugal, Marcelo Savino, 2009. "Central Bank preferences and monetary rules under the inflation targeting regime in Brasil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    16. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    17. Mirta Noemi Sataka Bugarin & Marcelo Kfoury Muinhos & Jose Ricardo da Costa e Silva & Maria da Glória D. Silva Araújo, 2005. "The Effect of Adverse Oil Price Shocks on Monetary Policy and Output Using a Dynamic Small Open Economy General Equilibrium Model With Staggered Price for Brazil," Working Papers Central Bank of Chile 348, Central Bank of Chile.
    18. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    19. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    20. Marco Matsumura & Ajax Moreira, 2011. "Assessing macro influence on Brazilian yield curve with affine models," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1847-1863.
    21. Chertman, Fernando & Hutchison, Michael & Zink, David, 2020. "Facing the Quadrilemma: Taylor rules, intervention policy and capital controls in large emerging markets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    22. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.
    23. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    24. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    25. Moreira, Tito Belchior S. & e Souza, Geraldo da Silva & Almeida, Charles Lima de, 2007. "The Fiscal Theory of the Price Level and the Interaction of Monetary and Fiscal Policies: The Brazilian Case," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 27(1), May.

  76. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. de Almeida, Pedro & Silva, Pedro D., 2009. "The peak of oil production--Timings and market recognition," Energy Policy, Elsevier, vol. 37(4), pages 1267-1276, April.
    4. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    5. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    6. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    7. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    10. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    11. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    12. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    13. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    14. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    15. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    16. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    17. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.
    18. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    19. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.

  77. Benjamin Miranda Tabak & Eduardo José Araújo Lima, 2002. "The Effects of the Brazilian ADRs Program on Domestic Market Efficiency," Working Papers Series 43, Central Bank of Brazil, Research Department.

    Cited by:

    1. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    2. Tito Nícias Teixeira da Silva Filho, 2001. "Estimando o Produto Potencial Brasileiro: Uma Abordagem de Função de Produção," Working Papers Series 17, Central Bank of Brazil, Research Department.
    3. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    4. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    5. Rodrigo Andrés de Souza Peñaloza, 2003. "On Shadow-Prices of Banks in Real-Time Gross Settlement Systems," Working Papers Series 71, Central Bank of Brazil, Research Department.
    6. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    7. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio I. Nakane, 2002. "The Determinants of Bank Interest Spread in Brazil," Working Papers Series 46, Central Bank of Brazil, Research Department.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. Mirta Noemí Sataka Bugarin & Roberto de Goes Ellery Jr. & Victor Gomes Silva & Marcelo Kfoury Muinhos, 2005. "Steady State Analysis of an Open Economy General Equilibrium Model for Brazil," Working Papers Series 92, Central Bank of Brazil, Research Department.
    10. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    11. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    12. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    13. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    14. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    15. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    16. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    17. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.
    18. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    19. Victorio Yi Tson Chu, 2002. "Credit Channel with Sovereign Credit Risk: an Empirical Test," Working Papers Series 51, Central Bank of Brazil, Research Department.
    20. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    21. Márcio I. Nakane & Leonardo S. Alencar & Fabio Kanczuk, 2006. "Demand for Bank Services and Market Power in Brazilian Banking," Working Papers Series 107, Central Bank of Brazil, Research Department.
    22. Eui Jung Chang & Marcelo Kfoury Muinhos & Joanílio Rodolpho Teixeira, 2002. "Macroeconomic Coordination and Inflation Targeting in a Two-Country Model," Working Papers Series 50, Central Bank of Brazil, Research Department.
    23. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    24. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    25. Tito Nícias Teixeira da Silva Filho, 2001. "Uma Definição Operacional de Estabilidade de Preços," Working Papers Series 35, Central Bank of Brazil, Research Department.

  78. Benjamin Miranda Tabak, 2002. "The Random Walk Hypothesis and the Behavior of Foreign Capital Portfolio Flows: the Brazilian Stock Market Case," Working Papers Series 58, Central Bank of Brazil, Research Department.

    Cited by:

    1. Maciel, Leandro, 2021. "A new approach to portfolio management in the Brazilian equity market: Does assets efficiency level improve performance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 38-56.
    2. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    3. Graham Smith & Aneta Dyakova, 2016. "The Relative Predictability of Stock Markets in the Americas," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 131-142, April.
    4. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    5. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    6. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    7. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    8. Kian-Ping Lim, 2009. "Efficiency tests of the UK financial futures markets and the impact of electronic trading systems: a note on relative market efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 16(11), pages 1129-1132.
    9. Gonçalves, Walter & Eid, William, 2017. "Sophistication and price impact of foreign investors in the Brazilian stock market," Emerging Markets Review, Elsevier, vol. 33(C), pages 102-139.
    10. Vinodh Madhavan & Rakesh Arrawatia, 2016. "Relative Efficiency of G8 Sovereign Credit Default Swaps and Bond Scrips: An Adaptive Market Hypothesis Perspective," Studies in Microeconomics, , vol. 4(2), pages 127-150, December.
    11. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    12. Reis, Luciana & Meurer, Roberto & Da Silva, Sergio, 2008. "Stock returns and foreign investment in Brazil," MPRA Paper 23028, University Library of Munich, Germany.
    13. Eduardo José Araújo Lima & Benjamin Miranda Tabak, 2008. "Exchange Rate Dynamics and the Relationship between the Random Walk Hypothesis and Official Interventions," Working Papers Series 173, Central Bank of Brazil, Research Department.
    14. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    15. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    16. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
    17. Todea, Alexandru & Pleşoianu, Anita, 2013. "The influence of foreign portfolio investment on informational efficiency: Empirical evidence from Central and Eastern European stock markets," Economic Modelling, Elsevier, vol. 33(C), pages 34-41.
    18. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    19. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    20. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    21. Angelovska Julijana, 2020. "The Impact of Foreigners’ Trades on Equity Prices: Evidence from Macedonian Stock Exchange," South East European Journal of Economics and Business, Sciendo, vol. 15(1), pages 56-65, June.
    22. Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
    23. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    24. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    25. Wu, Manhwa & Huang, Paoyu & Ni, Yensen, 2017. "Capital liberalization and various financial markets: Evidence from Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 265-274.
    26. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    27. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    28. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    29. Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
    30. Boya, Christophe M., 2019. "From efficient markets to adaptive markets: Evidence from the French stock exchange," Research in International Business and Finance, Elsevier, vol. 49(C), pages 156-165.
    31. Jay Squalli, 2006. "A non-parametric assessment of weak-form efficiency in the UAE financial markets," Applied Financial Economics, Taylor & Francis Journals, vol. 16(18), pages 1365-1373.
    32. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    33. Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
    34. Daniel Cajueiro & Benjamin Tabak, 2006. "The long-range dependence phenomena in asset returns: the Chinese case," Applied Economics Letters, Taylor & Francis Journals, vol. 13(2), pages 131-133.
    35. dos Santos Maciel, Leandro, 2023. "Brazilian stock-market efficiency before and after COVID-19: The roles of fractality and predictability," Global Finance Journal, Elsevier, vol. 58(C).

  79. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.

    Cited by:

    1. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    2. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    3. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    4. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    5. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    6. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    7. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. José L. B. Fernandes & Juan Ignacio Peña & Benjamin M. Tabak, 2006. "Myopic Loss Aversion and House-Money Effect Overseas: an experimental approach," Working Papers Series 115, Central Bank of Brazil, Research Department.
    10. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    11. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    12. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    13. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    14. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    15. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    16. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    17. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.
    18. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    19. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.

  80. Benjamin Miranda Tabak Eduardo José Araújo Lima, 2002. "Causality and Cointegration in Stock Markets: The Case of Latin America," Working Papers Series 56, Central Bank of Brazil, Research Department.

    Cited by:

    1. Mihir Dash, 2017. "A Study of Granger Causality in Latin American Stock Markets," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 6(2), pages 82-88, May.
    2. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    3. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    4. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    5. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    6. Guttler, Caio & Meurer, Roberto & Da Silva, Sergio, 2006. "Informational inefficiency of the Brazilian stockmarket," MPRA Paper 1980, University Library of Munich, Germany.
    7. Abdullahi, Shafiu Ibrahim, 2017. "Stock Market Linkage, Financial Contagion and Assets Price Movements: Evidence from Nigerian Stock Exchange," MPRA Paper 83455, University Library of Munich, Germany, revised Nov 2017.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. Amanjot SINGH & Parneet KAUR, 2015. "Stock Market Linkages: Evidence From the US, China and India During the Subprime Crisis," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 8(1), pages 137-162, June.
    10. Ceylan Onay & Gözde Ünal, 2012. "Cointegration and Extreme Value Analyses of Bovespa and the Istanbul Stock Exchange," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(1), pages 66-90, February.
    11. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    12. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    13. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    14. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    15. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    16. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    17. Sergio Da Silva & Roberto Meurer & Caio Guttler, 2008. "Is the Brazilian stockmarket efficient?," Economics Bulletin, AccessEcon, vol. 7(1), pages 1-16.
    18. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    19. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    20. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    21. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    22. Fernanda G Barba & Paulo S Ceretta, 2011. "Risk transmission between Latin America stock markets and the US: impacts of the 2007/2008 Crisis," Economics Bulletin, AccessEcon, vol. 31(2), pages 1025-1037.

  81. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.

    Cited by:

    1. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    2. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.
    3. Arnildo da Silva Correa & André Minella, 2006. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: a Phillips curve model with threshold for Brazil," Working Papers Series 122, Central Bank of Brazil, Research Department.
    4. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    5. Marta Areosa & Waldyr Areosa, 2006. "The Inequality Channel of Monetary Transmission," Working Papers Series 114, Central Bank of Brazil, Research Department.
    6. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    7. Yu Yang & Yonghong Wu & Benchawan Wiwatanapataphee, 2020. "Time-consistent mean–variance asset-liability management in a regime-switching jump-diffusion market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(4), pages 401-427, December.
    8. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    9. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    10. Rodrigo Andrés de Souza Peñaloza, 2003. "On Shadow-Prices of Banks in Real-Time Gross Settlement Systems," Working Papers Series 71, Central Bank of Brazil, Research Department.
    11. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    12. Avelino, Ricardo R. G., 2011. "The Relation between Expected Returns and Volatility in the Brazilian Stock Market," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.
    13. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    14. Flávia Mourão Graminho, 2006. "A Neoclassical Analysis of the Brazilian "Lost-Decades"," Working Papers Series 123, Central Bank of Brazil, Research Department.
    15. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    16. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    17. Mirta Noemí Sataka Bugarin & Roberto de Goes Ellery Jr. & Victor Gomes Silva & Marcelo Kfoury Muinhos, 2005. "Steady State Analysis of an Open Economy General Equilibrium Model for Brazil," Working Papers Series 92, Central Bank of Brazil, Research Department.
    18. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    19. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    20. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    21. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    22. Maria da Glória D. S. Araújo & Mirta Bugarin & Marcelo Kfoury Muinhos & Jose Ricardo C. Silva, 2006. "The Effect of Adverse Supply Shocks on Monetary Policy and Output," Working Papers Series 103, Central Bank of Brazil, Research Department.
    23. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    24. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    25. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    26. Maurício S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on Market Discipline and Monetary Policy by Carl Walsh," Working Papers Series 95, Central Bank of Brazil, Research Department.
    27. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    28. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    29. Márcio I. Nakane & Leonardo S. Alencar & Fabio Kanczuk, 2006. "Demand for Bank Services and Market Power in Brazilian Banking," Working Papers Series 107, Central Bank of Brazil, Research Department.
    30. Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Alagidede, Imhotep Paul & Gil-Alana, Luis Alberiko, 2022. "Re-examination of risk-return dynamics in international equity markets and the role of policy uncertainty, geopolitical risk and VIX: Evidence using Markov-switching copulas," Finance Research Letters, Elsevier, vol. 47(PA).
    31. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.
    32. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    33. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    34. Dat Bue Lock, 2007. "The China A shares follow random walk but the B shares do not," Economics Bulletin, AccessEcon, vol. 7(9), pages 1-12.
    35. Benjamin M. Tabak, 2006. "The Dynamic Relationship between Stock Prices and Exchange Rates: evidence for Brazil," Working Papers Series 124, Central Bank of Brazil, Research Department.

  82. Paulo Coutinho & Benjamin Miranda Tabak, 2001. "Decentralized Portfolio Management," Working Papers Series 22, Central Bank of Brazil, Research Department.

    Cited by:

    1. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    2. Tito Nícias Teixeira da Silva Filho, 2001. "Estimando o Produto Potencial Brasileiro: Uma Abordagem de Função de Produção," Working Papers Series 17, Central Bank of Brazil, Research Department.
    3. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    4. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    5. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    6. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio I. Nakane, 2002. "The Determinants of Bank Interest Spread in Brazil," Working Papers Series 46, Central Bank of Brazil, Research Department.
    7. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    8. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    9. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    10. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    11. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    12. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    13. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    14. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.
    15. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    16. Victorio Yi Tson Chu, 2002. "Credit Channel with Sovereign Credit Risk: an Empirical Test," Working Papers Series 51, Central Bank of Brazil, Research Department.
    17. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    18. Eui Jung Chang & Marcelo Kfoury Muinhos & Joanílio Rodolpho Teixeira, 2002. "Macroeconomic Coordination and Inflation Targeting in a Two-Country Model," Working Papers Series 50, Central Bank of Brazil, Research Department.
    19. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    20. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    21. Tito Nícias Teixeira da Silva Filho, 2001. "Uma Definição Operacional de Estabilidade de Preços," Working Papers Series 35, Central Bank of Brazil, Research Department.

  83. Benjamin Miranda Tabak & Sandro Canesso de Andrade, 2001. "Testing the Expectations Hypothesis in the Brazilian Term Structure of Interest Rates," Working Papers Series 30, Central Bank of Brazil, Research Department.

    Cited by:

    1. Goto, Fábio & Pires, Manoel Carlos de Castro & Rocha, Bruno, 2010. "Fiscal policy in times of crisis: macroeconomic effects of the primary surplus," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    2. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    3. Brito, Ricardo D. & Duarte, Angelo José Mont' Alverne & Guillen, Osmani Teixeira de Carvalho, 2004. "Overreaction of yield spreads and movements of Brazilian interest ratest," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 24(1), May.
    4. Tito Nícias Teixeira da Silva Filho, 2001. "Estimando o Produto Potencial Brasileiro: Uma Abordagem de Função de Produção," Working Papers Series 17, Central Bank of Brazil, Research Department.
    5. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    6. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    7. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    8. Júlio Cesar Albuquerque Bastos & Gabriel Caldas Montes, 2011. "Metasde Inflação E Estrutura A Termo Das Taxas De Juros - Uma Análise Dainfluência Da Credibilidade Sobre O Spread Da Taxa De Juros De Longoprazo No Brasil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 142, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. João F. Caldeira, 2020. "Investigating the expectation hypothesis and the risk premium dynamics: new evidence for Brazil," Empirical Economics, Springer, vol. 59(1), pages 395-412, July.
    10. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
    11. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio I. Nakane, 2002. "The Determinants of Bank Interest Spread in Brazil," Working Papers Series 46, Central Bank of Brazil, Research Department.
    12. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    13. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    14. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    15. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    16. Marçal, Emerson Fernandes, 2024. "Testing rational expectations in a cointegrated VAR with structural change," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    17. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    18. Benjamin Tabak, 2009. "Testing the expectations hypothesis in the Brazilian term structure of interest rates: a cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2681-2689.
    19. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    20. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    21. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2012. "Evaluating the existence of structural change in the brazilian term structure of interest: evidence based on cointegration models with structural break," Textos para discussão 314, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    22. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.
    23. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    24. Victorio Yi Tson Chu, 2002. "Credit Channel with Sovereign Credit Risk: an Empirical Test," Working Papers Series 51, Central Bank of Brazil, Research Department.
    25. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    26. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    27. Osmani Teixeira De Carvalho Guillen & José Valentim Machado Vicente, 2011. "Characterizing The Brazilian Termstructure Of Interest Rates In A Cointegrated Var Model," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 041, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    28. Eui Jung Chang & Marcelo Kfoury Muinhos & Joanílio Rodolpho Teixeira, 2002. "Macroeconomic Coordination and Inflation Targeting in a Two-Country Model," Working Papers Series 50, Central Bank of Brazil, Research Department.
    29. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    30. Osmani Teixeira de Carvalho Guillén & Benjamin M. Tabak?, 2007. "Characterizing The Brazilian Term Structure Of Interest Rates," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 108, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    31. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    32. Tito Nícias Teixeira da Silva Filho, 2001. "Uma Definição Operacional de Estabilidade de Preços," Working Papers Series 35, Central Bank of Brazil, Research Department.

  84. Sandro Canesso de Andrade & Benjamin Miranda Tabak, 2001. "Is it Worth Tracking Dollar/Real Implied Volatility?," Working Papers Series 15, Central Bank of Brazil, Research Department.

    Cited by:

    1. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    2. Mr. Mark R. Stone & W. Christopher Walker & Yosuke Yasui, 2009. "From Lombard Street to Avenida Paulista: Foreign Exchange Liquidity Easing in Brazil in Response to the Global Shock of 2008–09," IMF Working Papers 2009/259, International Monetary Fund.
    3. Tito Nícias Teixeira da Silva Filho, 2001. "Estimando o Produto Potencial Brasileiro: Uma Abordagem de Função de Produção," Working Papers Series 17, Central Bank of Brazil, Research Department.
    4. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    5. Aloisio Araujo & Marcia Leon, 2004. "Speculative Attacks on Debts and Optimum Currency Area: A Welfare Analysis," Working Papers Series 84, Central Bank of Brazil, Research Department.
    6. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    7. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio I. Nakane, 2002. "The Determinants of Bank Interest Spread in Brazil," Working Papers Series 46, Central Bank of Brazil, Research Department.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. Benjamin Miranda Tabak & Solange Maria Guerra & Eduardo José Araújo Lima & Eui Jung Chang, 2007. "The Stability-Concentration Relationship in the Brazilian Banking System," Working Papers Series 145, Central Bank of Brazil, Research Department.
    10. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    11. Gomes, Frederico Pechir & Takami, Marcelo Yoshio & Brandi, Vinicius Ratton, 2008. "Investigating Unusual Changes in Real-Dollar Exchange Rate," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(2), October.
    12. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    13. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    14. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    15. Sergio Rubens Stancato de Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2007. "Long-Range Dependence in Exchange Rates: the case of the European Monetary System," Working Papers Series 131, Central Bank of Brazil, Research Department.
    16. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
    17. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.
    18. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    19. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    20. Victorio Yi Tson Chu, 2002. "Credit Channel with Sovereign Credit Risk: an Empirical Test," Working Papers Series 51, Central Bank of Brazil, Research Department.
    21. Eui Jung Chang & Marcelo Kfoury Muinhos & Joanílio Rodolpho Teixeira, 2002. "Macroeconomic Coordination and Inflation Targeting in a Two-Country Model," Working Papers Series 50, Central Bank of Brazil, Research Department.
    22. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    23. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    24. Marcos Massaki Abe & Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Forecasting Exchange Rate Density Using Parametric Models: the Case of Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 5(1), pages 29-39.

Articles

  1. Werner Kristjanpoller & Benjamin Miranda Tabak, 2025. "Comparison of the asymmetric multifractal behavior of green and U.S. bonds against benchmark financial assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.

    Cited by:

    1. Kang, Sang Baum & Sinha, Satwik & Eom, Jiyong, 2025. "Green dreams, risky assets? A study of high-yield green bonds," Global Finance Journal, Elsevier, vol. 67(C).

  2. Tabak, Benjamin Miranda & e Silva, Igor Bettanin Dalla Riva & Quintino, Derick David & Silva, Thiago Christiano, 2025. "Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).

    Cited by:

    1. Vittoria Fatta & Aristide Giuliano & Maria Teresa Petrone & Francesco Nanna & Antonio Villone & Donatella Barisano & Roberto Albergo & Federico Liuzzi & Diego Barletta & Isabella De Bari, 2025. "A Novel Integrated Biorefinery for the Valorization of Residual Cardoon Biomass: Overview of Technologies and Process Simulation," Energies, MDPI, vol. 18(4), pages 1-22, February.
    2. Bonini, V.R.B. & Lemos, L.F.P. & Starke, A.R. & da Silva, A.K., 2025. "Analyzing the impact of an increased bioethanol share in the fuel blend for the Brazilian lightweight fleet transportation sector," Energy, Elsevier, vol. 334(C).

  3. de Castro Matias, Marcos & Tabak, Benjamin Miranda, 2025. "Comparison of indicator saturation and Markov regime-switching models for Brazilian electricity prices," Energy Economics, Elsevier, vol. 144(C).

    Cited by:

    1. Abhinav Das & Stephan Schlüter & Lorenz Schneider, 2026. "Regime-aware conditional neural processes with multi-criteria decision support for operational electricity price forecasting," Post-Print hal-05562231, HAL.
    2. Castello, Oleksandr & Resta, Marina, 2025. "Univariate and multivariate forecasting of the electricity futures curve using Dynamic Recurrent Neural Networks," Applied Energy, Elsevier, vol. 394(C).

  4. Silva, Thiago Christiano & Valença, Paulo Ricardo Mendes & Tabak, Benjamin Miranda, 2024. "Economic performance of exporting sectors: Evidence for manufacturing in Brazil," Economic Systems, Elsevier, vol. 48(2).

    Cited by:

    1. Tinta, Abdoulganiour Almame, 2025. "Growth dilemmata: The case of African firms," Economic Systems, Elsevier, vol. 49(4).

  5. Alexandre, Michel & Silva, Thiago Christiano & Tabak, Benjamin Miranda, 2024. "The labor market channel of systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).

    Cited by:

    1. Pallante, Gianluca & Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2025. "Robust-less-fragile: Tackling systemic risk and financial contagion in a macro agent-based model," Journal of Financial Stability, Elsevier, vol. 76(C).
    2. Michel Alexandre & Angela Modica Scala & Alessandro Caiani & Gilberto Tadeu Lima, 2025. "The Impact of Climate Transition Risks on the Brazilian Financial Sector," Working Papers Series 633, Central Bank of Brazil, Research Department.

  6. Rafael Corrêa & Benjamin Miranda Tabak, 2024. "The Influence of Behavioral Sciences on Adherence to Physical Activity and Weight Loss in Overweight and Obese Patients: A Systematic Review of Randomized Controlled Trials," IJERPH, MDPI, vol. 21(5), pages 1-8, May.

    Cited by:

    1. Rafael Corrêa & Matheus Britto Froner & Benjamin Miranda Tabak, 2024. "Assessing the Impact of Behavioral Sciences Interventions on Chronic Disease Prevention and Management: A Systematic Review of Randomized Controlled Trials," IJERPH, MDPI, vol. 21(7), pages 1-9, June.

  7. Silva, Thiago Christiano & Braz, Tercio & Tabak, Benjamin Miranda, 2024. "Mapping the landscape of energy markets research: A bibliometric analysis and predictive assessment using machine learning," Energy Economics, Elsevier, vol. 136(C).

    Cited by:

    1. Benjamin Miranda Tabak & Débora H. Cardoso & Cristiano C. Silva, 2025. "Assessing the Drivers of Financial Vulnerability and Fraud in Brazil: The Critical Role of Financial Planning over Literacy," Sustainability, MDPI, vol. 17(20), pages 1-33, October.
    2. Paweł Kut & Katarzyna Pietrucha-Urbanik, 2024. "Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of International Cooperation," Energies, MDPI, vol. 17(16), pages 1-27, August.

  8. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).

    Cited by:

    1. Pandey, Dharen Kumar & Al-ahdal, Waleed M. & Rusere, Warren & Ali, Azwadi & Nor, Safwan Mohd, 2024. "Impact of firm characteristics and country-level governance on global energy stocks during crises," Research in International Business and Finance, Elsevier, vol. 72(PA).
    2. Silva, Thiago Christiano & Braz, Tercio & Tabak, Benjamin Miranda, 2024. "Mapping the landscape of energy markets research: A bibliometric analysis and predictive assessment using machine learning," Energy Economics, Elsevier, vol. 136(C).
    3. Kumari, Vineeta & Hassan, Majdi & Pandey, Dharen Kumar, 2024. "Are high-income and innovative nations resilient to the Russia-Ukraine war?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1268-1287.
    4. Ullah, Assad & Riaz, Adeel, 2025. "The impact of energy-related uncertainty on China’s overall and sectoral stock returns: Evidence from quantile-on-quantile regression," Energy, Elsevier, vol. 320(C).
    5. Memoona Manzoor Kiani & Shain Taj Raisani & Dr. Muhammad Nabeel & Shahan Zeb Khan & Kashif Lodhi, 2023. "Impact of International Trade and Globalization on Financial Markets: A Case of Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 493-500.
    6. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Tiwari, Aviral Kumar & Wali Ullah, G M, 2024. "Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets," Research in International Business and Finance, Elsevier, vol. 69(C).
    7. Wojciech Grabowski & Jakub Janus, 2024. "Tail dependence in European stock markets amidst the Russo-Ukrainian war: Shifting linkages and their determinants," Working Papers REM 2024/0360, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    8. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    9. Hongjun Zeng & Abdullahi D. Ahmed, 2026. "Dependency structure and volatility connectedness among China-ASEAN stock market, cryptocurrencies, and crude oil," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-39, December.
    10. Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2024. "Could the Russia-Ukraine war stir up the persistent memory of interconnectivity among Islamic equity markets, energy commodities, and environmental factors?," Research in International Business and Finance, Elsevier, vol. 69(C).
    11. Sokhanvar, Amin & Çiftçioğlu, Serhan & Hammoudeh, Shawkat, 2024. "Comparative analysis of the exchange rates-stock returns nexus in commodity-exporters and -importers before and during the war in Ukraine," Research in International Business and Finance, Elsevier, vol. 67(PB).
    12. Salami, Monsurat Ayojimi & Tanrıvermiş, Harun & Tanrıvermiş, Yesim, 2024. "Influence of Ukraine invasion by Russia on Turkish markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    13. Raza, Syed Ali & Guesmi, Khaled & Benkraiem, Ramzi & Anwar, Rija, 2024. "Precious metals and currency markets during the Russia-Ukraine conflict’s inflationary periods," Research in International Business and Finance, Elsevier, vol. 67(PA).
    14. Bouri, Elie & Gabauer, David & Gupta, Rangan & Kinateder, Harald, 2023. "Global geopolitical risk and inflation spillovers across European and North American economies," Research in International Business and Finance, Elsevier, vol. 66(C).
    15. Wang, Di & Li, Yiman & Zhang, Xianqi, 2025. "Energy international trade pattern under the background of the Russia-Ukraine conflict: A method based on complex network and evolutionary game theory," Energy Economics, Elsevier, vol. 149(C).
    16. Yadav, Miklesh Prasad & Abedin, Mohammad Zoynul & Sinha, Neena & Arya, Vandana, 2024. "Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion," Research in International Business and Finance, Elsevier, vol. 67(PA).
    17. Zsuzsa R. Huszár & Balázs B. Kotró & Ruth S. K. Tan, 2023. "European equity markets volatility spillover: Destabilizing energy risk is the new normal," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 205-271, December.
    18. Wang, Anqi & Ding, Shusheng & Cui, Tianxiang, 2025. "Green bond market stability and Russia Ukraine conflict: The role of green inclusive finance," Research in International Business and Finance, Elsevier, vol. 74(C).

  9. Thiago Christiano Silva & Fabiano José Muniz & Benjamin Miranda Tabak, 2023. "The Impact of Government Disaster Surveillance and Alerts on Local Economic and Financial Conditions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 559-591, February.

    Cited by:

    1. Veronica Leoni & David Boto-García, 2023. "The Effect of Natural Disasters on Hotel Demand, Supply and Labour Markets: Evidence from the La Palma Volcano Eruption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 755-780, December.

  10. Fernando H. A. De Araujo & Leonardo H. S. Fernandes & Jos㉠W. L. Silva & Kleber E. S. Sobrinho & Benjamin Miranda Tabak, 2023. "Assessment The Predictability In The Price Dynamics For The Top 10 Cryptocurrencies: The Impacts Of Russia–Ukraine War," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(05), pages 1-10.

    Cited by:

    1. Oumayma Gharbi & Mouna Boujelbène, 2025. "Impact of ESG Rating on Portfolio Diversification Benefits Among US Fintech Stocks and Cryptocurrencies," SN Operations Research Forum, Springer, vol. 6(3), pages 1-29, September.

  11. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).

    Cited by:

    1. Maysam Khodayari Gharanchaei & Reza Babazadeh, 2024. "Crisis Alpha: A High-Performance Trading Algorithm Tested in Market Downturns," Papers 2409.14510, arXiv.org.
    2. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Amancio, Diego R., 2024. "Machine learning and economic forecasting: The role of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    3. Darjana Darjana & Sudarso Kaderi Wiyono & Deddy Priatmodjo Koesrindartoto, 2025. "Research on the impact of COVID-19 on the financial system: Evidence from Indonesia," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-26, February.
    4. Bogdan Dima & Stefana Maria Dima & Anca-Adriana Saraolu (Ionascuti), 2024. "The Time Dependence and Interconnectedness of Developed Stock Markets," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 16(2), pages 273-293, December.
    5. David Umoru & Beauty Igbinovia & Benjamin Odegha, 2025. "Exchange rate volatility, stock prices and returns in BRICS: The moderating effect of inflation with wavelength analysis," E-Forum Working Papers, Economic Forum, vol. 15(1), pages 38-57, February.
    6. Nguyen, An Pham Ngoc & Mai, Tai Tan & Bezbradica, Marija & Crane, Martin, 2023. "Volatility and returns connectedness in cryptocurrency markets: Insights from graph-based methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).

  12. Benjamin Miranda Tabak & Matheus B. Froner & Rafael Corrêa & Thiago C. Silva, 2023. "The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation," IJERPH, MDPI, vol. 20(20), pages 1-18, October.

    Cited by:

    1. Angela Maria de Oliveira & Marcos Aurélio Pereira Valadão & Benjamin Miranda Tabak, 2024. "Public Telemedicine Policy in Brazilian Unified Health System: An Impact Analysis," IJERPH, MDPI, vol. 21(6), pages 1-13, May.

  13. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).

    Cited by:

    1. Moura, Bruna Gonçalves Fonseca & Ferreira, Bruno Pérez & Corrêa, Ana Carolina Costa, 2024. "Brazilian banks risk-taking and systemic risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    2. Turki Rashed Alshammari, 2025. "The Impact of COVID-19 on Commercial Bank Borrowers in Arab Economies," Financial Economics Letters, Anser Press, vol. 4(1), pages 1-14, March.
    3. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    4. Chen, Fu & Li, Fangfang & Xu, Jie & Sun, Yongtai & Li, Fangyuan, 2024. "Nexus between green credit efficiency and strategic, business and management digital transformation–based on 114 commercial banks in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1242-1257.
    5. Liu, Zhonglu & Li, Jun & Sun, Haibo, 2024. "Climate transition risk and bank risk-taking: The role of digital transformation," Finance Research Letters, Elsevier, vol. 61(C).
    6. Maria-Eleni K. Agoraki & Georgios P. Kouretas & Francisco Nadal Simone, 2025. "The performance of the euro area banking system: the pandemic in perspective," Review of Quantitative Finance and Accounting, Springer, vol. 65(1), pages 39-69, July.
    7. Pengfei Luo & Xinle Liu, 2025. "Dynamic investment in new technology and risk management," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 817-835, August.
    8. Chiara Colamartino & Marco Barone, 2025. "Can cooperative banks maintain local engagement amidst digital transformation? Evidence from Italy," Digital Finance, Springer, vol. 7(3), pages 347-371, September.
    9. Zhou, Nan & Sun, Ruohan, 2024. "Coping with the storm: The role of fintech in SME survival," International Review of Financial Analysis, Elsevier, vol. 93(C).
    10. Norden, Lars & Ribeiro, Thiago, 2025. "Local credit in Brazil: The role of digital connectivity and education," Emerging Markets Review, Elsevier, vol. 65(C).
    11. He, Yun & Li, Wei & Tan, Xiaofen & Sun, Yuchen, 2025. "Economic policy uncertainty, digital transformation, and bank systemic risk," International Review of Economics & Finance, Elsevier, vol. 102(C).
    12. Silva, Thiago Christiano & Valença, Paulo Ricardo Mendes & Tabak, Benjamin Miranda, 2024. "Economic performance of exporting sectors: Evidence for manufacturing in Brazil," Economic Systems, Elsevier, vol. 48(2).
    13. Belbe, Ștefana & Moldovan, Darie & Andrieș, Alin Marius & Otto, Philipp & Mare, Codruța, 2024. "Evaluation of the space-time effects of Covid-19 on household loans and savings in Romania - A spatial panel data approach at county level," Emerging Markets Review, Elsevier, vol. 63(C).
    14. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.
    15. Konstantinos Petridis & Nikolaos Kiosses & Ioannis Tampakoudis & Fouad Ben Abdelaziz, 2023. "Measuring the efficiency of mutual funds: Does ESG controversies score affect the mutual fund performance during the COVID-19 pandemic?," Operational Research, Springer, vol. 23(3), pages 1-29, September.

  14. Thiago Christiano Silva & Pedro Vicente da Silva Neto & Benjamin Miranda Tabak, 2023. "Tourism and the economy: evidence from Brazil," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(6), pages 851-862, March.

    Cited by:

    1. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
    2. Chang Gan & Mihai Voda & Kai Wang, 2024. "Balancing efficiency and fairness: The role of tourism development in economic growth and urban–rural income gap," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 5259-5273, October.

  15. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2023. "Multifractal cross-correlations between green bonds and financial assets," Finance Research Letters, Elsevier, vol. 53(C).

    Cited by:

    1. Fernandes, Leonardo H.S. & Figueirôa, José R.A. & Martins, Caleb M.F. & Martins, Adriel M.F., 2025. "The battle of informational efficiency: Cryptocurrencies vs. classical assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    2. Hau, Liya & Yang, Xiaomei & Zhang, Yongmin, 2024. "Multiscale quantile dependence between China's green bond and green equity: Fresh evidence from higher-order moment perspective," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    3. Wang, Le & Xue, Ke & Luo, Dianjun, 2025. "Media pressure, corporate governance structure, and disclosure quality," International Review of Economics & Finance, Elsevier, vol. 97(C).
    4. Chen, Shuiyang & Meng, Bin & Kuang, Haibo, 2025. "High-order moment joint risk spillovers and investment management: Implications for green shipbuilding policy and practice," Transport Policy, Elsevier, vol. 163(C), pages 152-167.
    5. Binner, Jane M. & Fleissig, Adrian R. & Swofford, James L., 2025. "Are green, climate-change and corporate bonds substitutes or complements? Evidence from a fourier specification," Economics Letters, Elsevier, vol. 251(C).
    6. Kristjanpoller, Werner & Nekhili, Ramzi & Bouri, Elie, 2024. "Blockchain ETFs and the cryptocurrency and Nasdaq markets: Multifractal and asymmetric cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    7. Kojić, Milena & Mitić, Petar & Schlüter, Stephan & Rakić, Slobodan, 2024. "Complex non-linear relationship between conventional and green bonds: Insights amidst COVID-19 and the RU–UA conflict," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    8. Werner Kristjanpoller & Benjamin Miranda Tabak, 2025. "Comparison of the asymmetric multifractal behavior of green and U.S. bonds against benchmark financial assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    9. Li, Xing & Yu, Hongxia, 2025. "On the multifractal cross-correlations and coupling coordination characteristics of Fintech, global technology and bitcoin markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 671(C).
    10. Patel, Ritesh & Gubareva, Mariya & Chishti, Muhammad Zubair, 2024. "Assessing the connectedness between cryptocurrency environment attention index and green cryptos, energy cryptos, and green financial assets," Research in International Business and Finance, Elsevier, vol. 70(PA).
    11. Vogl, Markus & Kojić, Milena & Mitić, Petar, 2024. "Dynamics of green and conventional bond markets: Evidence from the generalized chaos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).

  16. Leonardo H. S. Fernandes & Werner Kristjanpoller & Benjamin Miranda Tabak, 2023. "Asymmetric Multifractal Cross-Correlation Dynamics Between Fiat Currencies And Cryptocurrencies," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(01), pages 1-20.

    Cited by:

    1. Bouri, Elie & Benbachir, Soufiane & Alaoui, Marwane El, 2025. "How Bitcoin market trends affect major cryptocurrencies?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 668(C).
    2. Kundan Mukhia & Anish Rai & SR Luwang & Md Nurujjaman & Sushovan Majhi & Chittaranjan Hens, 2024. "Complex network analysis of cryptocurrency market during crashes," Papers 2405.05642, arXiv.org.
    3. Mukhia, Kundan & Rai, Anish & Luwang, S.R. & Nurujjaman, Md & Majhi, Sushovan & Hens, Chittaranjan, 2024. "Complex network analysis of cryptocurrency market during crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    4. Saâdaoui, Foued, 2024. "Segmented multifractal detrended fluctuation analysis for assessing inefficiency in North African stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

  17. Leonardo H. S. Fernandes & Fernando H. A. De Araujo & Jos㉠W. L. Silva & Marcos C. M. Filho & Benjamin Miranda Tabak, 2023. "Assessment Of Sector Bond, Equity Indices And Green Bond Index Using Information Theory Quantifiers And Clusters Techniques," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(01), pages 1-17.

    Cited by:

    1. Matsushita, Raul & Brandão, Helena & Nobre, Iuri & Da Silva, Sergio, 2024. "Differential entropy estimation with a Paretian kernel: Tail heaviness and smoothing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).

  18. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).

    Cited by:

    1. Eduardo M. K. Souza & Guilherme M. A. Almeida, 2026. "The life cycle of an airline company through the lens of network theory," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 99(3), pages 1-7, March.
    2. Kasım KİRACI & Mehmet YAŞAR & Ercan AKAN, 2025. "Strategies For Airline Competitiveness: Analyzing Key Product Features And Decision-Maker Priorities Using Spherical Fuzzy Ahp," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 17(2), pages 5-25, June.

  19. Luiz Augusto Magalhães & Thiago Christiano Silva & Benjamin Miranda Tabak, 2022. "Hedging commodities in times of distress: The case of COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1941-1959, October.

    Cited by:

    1. You‐How Go & Jia‐Jun Teo & Kam Fong Chan, 2023. "The effectiveness of crude oil futures hedging during infectious disease outbreaks in the 21st century," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1559-1575, November.
    2. Ren, Xiaohang & Xiao, Ya & Duan, Kun & Urquhart, Andrew, 2024. "Spillover effects between fossil energy and green markets: Evidence from informational inefficiency," Energy Economics, Elsevier, vol. 131(C).
    3. Rao, Amar & Dev, Dhairya & Kharbanda, Aeshna & Parihar, Jaya Singh & Sala, Dariusz, 2024. "Mineral policy and sustainable development goals: Volatility forecasting in the Global South's minerals market," Resources Policy, Elsevier, vol. 98(C).
    4. Han, SeungOh, 2025. "Evaluating the hedging potential of energy, metals, and agricultural commodities for U.S. stocks post-COVID-19," The North American Journal of Economics and Finance, Elsevier, vol. 77(C).
    5. Tongshuai Qiao & Liyan Han, 2023. "COVID‐19 and tail risk contagion across commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 242-272, February.
    6. Mário Correia Fernandes & José Carlos Dias & João Pedro Vidal Nunes, 2024. "Performance comparison of alternative stochastic volatility models and its determinants in energy futures: COVID‐19 and Russia–Ukraine conflict features," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 343-383, March.

  20. Leonardo H. S. Fernandes & Jos㉠W. L. Silva & Derick D. Quintino & Fernando H. A. De Araujo & Benjamin Miranda Tabak, 2022. "Multifractal Cross-Correlations Risk Among Wti And Financial Assets," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(09), pages 1-13, December.

    Cited by:

    1. Masseran, Nurulkamal & Safari, Muhammad Aslam Mohd, 2025. "Multifractal behaviors on exchange rate of world prominent economic countries correspond to Malaysia Ringgit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 671(C).

  21. Tabak, Benjamin Miranda & Silva, Igor Bettanin Dalla Riva e & Silva, Thiago Christiano, 2022. "Analysis of connectivity between the world’s banking markets: The COVID-19 global pandemic shock," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 324-336.

    Cited by:

    1. Geng, Ru & Zhang, Hong-Kun & Gao, Yixian & Yuan, Gangnan, 2025. "Decoding global economic dynamic: A graph-based examination of contemporary ETF markets," Chaos, Solitons & Fractals, Elsevier, vol. 201(P3).
    2. Haibo Wang & Jun Huang & Lutfu S Sua & Jaime Ortiz & Jinshyang Roan & Bahram Alidaee, 2026. "Dynamic Risk in the U.S. Banking System: An Analysis of Sentiment, Policy Shocks, and Spillover Effects," Papers 2601.01783, arXiv.org.
    3. Lastrapes, William D. & Wiesen, Thomas F.P., 2025. "Regional bank failures and volatility transmission," Journal of Financial Stability, Elsevier, vol. 78(C).
    4. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    5. Tabak, Benjamin Miranda & e Silva, Igor Bettanin Dalla Riva & Quintino, Derick David & Silva, Thiago Christiano, 2025. "Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    6. Tabak, Benjamin M. & Fulber, Ives Cezar & Froner, Matheus B., 2025. "The nexus between carbon, energy and agrifood—A contemporaneous and lagged spillover analysis," Finance Research Letters, Elsevier, vol. 75(C).

  22. Thiago Christiano Silva & Tércio Braz & Diego Raphael Amancio & Benjamin Miranda Tabak, 2022. "Financial Literacy and the Perceived Value of Stress Testing: An Experiment Using Students in Brazil," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(4), pages 965-996, March.

    Cited by:

    1. Silvia Mariela Méndez Prado & Marlon José Zambrano Franco & Susana Gabriela Zambrano Zapata & Katherine Malena Chiluiza García & Patricia Everaert & Martin Valcke, 2022. "A Systematic Review of Financial Literacy Research in Latin America and The Caribbean," Sustainability, MDPI, vol. 14(7), pages 1-43, March.
    2. Silvia Mariela Méndez-Prado & Vanessa Rodriguez & Kevin Peralta-Rizzo & Patricia Everaert & Martin Valcke, 2023. "An Assessment Tool to Identify the Financial Literacy Level of Financial Education Programs Participants’ Executed by Ecuadorian Financial Institutions," Sustainability, MDPI, vol. 15(2), pages 1-24, January.

  23. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).

    Cited by:

    1. Fernandes, Leonardo H.S. & Figueirôa, José R.A. & Martins, Caleb M.F. & Martins, Adriel M.F., 2025. "The battle of informational efficiency: Cryptocurrencies vs. classical assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    2. Hu, Guoheng & Liu, Shan & Wu, Guo & Hu, Peng & Li, Ruiqi & Chen, Liujie, 2023. "Economic policy uncertainty, geopolitical risks, and the heterogeneity of commodity price fluctuations in China ——an empirical study based on TVP-SV-VAR model," Resources Policy, Elsevier, vol. 85(PA).

  24. Werner Kristjanpoller & Leonardo H. S. Fernandes & Benjamin M. Tabak, 2022. "Examining The Fractal Market Hypothesis Considering Daily And High Frequency For Cryptocurrency Assets," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(03), pages 1-20, May.

    Cited by:

    1. Lee, Min-Jae & Choi, Sun-Yong, 2024. "Insights into the dynamics of market efficiency spillover of financial assets in different equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    2. Werner Kristjanpoller & Benjamin Miranda Tabak, 2025. "Comparison of the asymmetric multifractal behavior of green and U.S. bonds against benchmark financial assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    3. Saâdaoui, Foued, 2023. "Skewed multifractal scaling of stock markets during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. P. S. Niveditha, 2025. "Identifying Safe Haven Assets: Evidence from Fractal Market Hypothesis," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 313-335, January.
    5. Fernandes, Leonardo H.S. & Bouri, Elie & Silva, José W.L. & Bejan, Lucian & de Araujo, Fernando H.A., 2022. "The resilience of cryptocurrency market efficiency to COVID-19 shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

  25. Thiago Christiano Silva & Fabiano José Muniz & Benjamin Miranda Tabak, 2022. "Indirect and direct effects of the subprime crisis on the real sector: labor market migration," Empirical Economics, Springer, vol. 62(3), pages 1407-1438, March.

    Cited by:

    1. Enkang Li & Yingyi Ma & Yi Wang & Yu Chen & Bo Niu, 2022. "Competition among cities for export trade brings diversification: The experience of China’s urban export trade development," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-18, September.
    2. İsmail Cakmak & Selcen Öztürk, 2023. "Analysing Impact of Economic Crises on Sector Profits with a New Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(3), pages 225-245.
    3. Sakkarin Nonthapot & Tanawat Watchalaanun, 2023. "Effects of Deglobalization on Food and Energy Insecurity in the GMS Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 374-381, September.
    4. Silva, Thiago Christiano & Valença, Paulo Ricardo Mendes & Tabak, Benjamin Miranda, 2024. "Economic performance of exporting sectors: Evidence for manufacturing in Brazil," Economic Systems, Elsevier, vol. 48(2).

  26. de Souza Pereira, Mariana & Magalhães Filho, Fernando Jorge Corrêa & de Morais Lima, Priscila & Tabak, Benjamin Miranda & Constantino, Michel, 2022. "Sanitation and water services: Who is the most efficient provider public or private? Evidences for Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

    Cited by:

    1. Carvalho, Anne Emília Costa & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2023. "The impact of regulation on the Brazilian water and sewerage companies’ efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Maziotis, Alexandros & Molinos-Senante, Maria, 2025. "Assessing the resilience of water and wastewater utilities: A multi-criteria approach for Chile," Socio-Economic Planning Sciences, Elsevier, vol. 102(C).
    3. Laura Carosi & Giovanna D’Inverno & Maria Molinos Senante, 2025. "Malmquist Productivity Index from a regulator’s perspective," Annals of Operations Research, Springer, vol. 351(2), pages 1265-1292, August.
    4. Sofiane, Boukhari & Dounia, Mrad & Sabri, Dairi & Tarek, Khoualdia & Yassine, Djebbar, 2023. "Utilizing a combined Delphi-FAHP-TOPSIS technique to assess the effectiveness of the water supply service in Algeria," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    5. Casarin, Ariel A. & Mercadier, Augusto, 2025. "Reversing privatization: Political distortions and performance outcomes in Buenos Aires water services," Utilities Policy, Elsevier, vol. 95(C).
    6. Carvalho Solino Silva, Larissa & Teixeira, Gibran da Silva & Nobre Fernandez, Rodrigo & Halmenschlager, Vinícius, 2024. "Concessions for basic sanitation services in Southern Brazil: A generalized synthetic control analysis," Utilities Policy, Elsevier, vol. 87(C).

  27. Leonardo H. S. Fernandes & Fernando H. A. De Araujo & Jos㉠W. L. Silva & Igor E. M. Silva & Benjamin Miranda Tabak, 2022. "Evaluating The Efficiency Of Brazilian Stock Market Indices: The Case Of Covid-19," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(01), pages 1-11, February.

    Cited by:

    1. Tetsuya Takaishi, 2025. "Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets," Papers 2504.18960, arXiv.org.
    2. Fernandes, Leonardo H.S. & Bouri, Elie & Silva, José W.L. & Bejan, Lucian & de Araujo, Fernando H.A., 2022. "The resilience of cryptocurrency market efficiency to COVID-19 shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

  28. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).

    Cited by:

    1. Bouteska, Ahmed & Sharif, Taimur & Hajek, Petr & Abedin, Mohammad Zoynul, 2025. "Predicting prices of the US and G7 stock indices in uncertain times: Evidence from the application of a hybrid neural network," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 116(C).
    2. Shi, Fengyuan & Guo, Yaoqi, 2025. "Differential impact of multiple risks on green and conventional bond markets: Evidence from multifractal analysis," Research in International Business and Finance, Elsevier, vol. 77(PB).

  29. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2022. "The role of non-critical business and telework propensity in international stock markets during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).

    Cited by:

    1. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    3. Begoña Urien, 2023. "Teleworkability, Preferences for Telework, and Well-Being: A Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-32, July.
    4. Kemal Tosun, Onur & Eshraghi, Arman & Muradoglu, Gulnur, 2023. "Learning financial survival from disasters," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).

  30. Ahmet Sensoy & Thiago Christiano Silva & Shaen Corbet & Benjamin Miranda Tabak, 2021. "High-frequency return and volatility spillovers among cryptocurrencies," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4310-4328, August.

    Cited by:

    1. Shaen Corbet & Yang Hou & Yang Hu & Les Oxley, 2024. "Time varying risk aversion and its connectedness: evidence from cryptocurrencies," Annals of Operations Research, Springer, vol. 338(2), pages 879-923, July.
    2. Lee A. Smales, 2021. "Volatility Spillovers among Cryptocurrencies," JRFM, MDPI, vol. 14(10), pages 1-12, October.
    3. Kyriazis, Nikolaos A. & Papadamou, Stephanos & Tzeremes, Panayiotis, 2023. "Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?," Economic Modelling, Elsevier, vol. 128(C).
    4. Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
    6. Wafa Masmoudi Kammoun, 2026. "Return and volatility spillover drivers among conventional cryptocurrencies," Digital Finance, Springer, vol. 8(1), pages 1-39, March.
    7. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 307-317.
    8. Lang, Chunlin & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg), 2024. "Tail risk connectedness in G7 stock markets: Understanding the impact of COVID-19 and related variants," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    9. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    10. Mukul Bhatnagar & Sanjay Taneja & Ramona Rupeika-Apoga, 2023. "Demystifying the Effect of the News (Shocks) on Crypto Market Volatility," JRFM, MDPI, vol. 16(2), pages 1-16, February.
    11. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    12. John, Kose & Li, Jingrui, 2025. "Bitcoin price volatility: Effects of retail traders, illegal users, and sentiment," Journal of Corporate Finance, Elsevier, vol. 94(C).
    13. Goodell, John W. & Corbet, Shaen & Yadav, Miklesh Prasad & Kumar, Satish & Sharma, Sudhi & Malik, Kunjana, 2022. "Time and frequency connectedness of green equity indices: Uncovering a socially important link to Bitcoin," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. Muhammad Anas & Syed Jawad Hussain Shahzad & Larisa Yarovaya, 2024. "The use of high-frequency data in cryptocurrency research: a meta-review of literature with bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
    15. Dora Almeida & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2023. "Impact of the COVID-19 Pandemic on Cryptocurrency Markets: A DCCA Analysis," FinTech, MDPI, vol. 2(2), pages 1-17, May.
    16. Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    17. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    18. Kristjanpoller, Werner & Tabak, Benjamin Miranda, 2025. "Multifractal Cross-Correlations of Dirty and Clean Cryptocurrencies with main financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 668(C).
    19. Vidal-Tomás, David, 2025. "Centralized exchanges & proof-of-solvency: The guardians of trust," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 103(C).
    20. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.
    21. Tabak, Benjamin Miranda & e Silva, Igor Bettanin Dalla Riva & Quintino, Derick David & Silva, Thiago Christiano, 2025. "Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    22. Akyildirim, Erdinc & Conlon, Thomas & Corbet, Shaen & Goodell, John W., 2023. "Understanding the FTX exchange collapse: A dynamic connectedness approach," Finance Research Letters, Elsevier, vol. 53(C).
    23. He, Xie & Hamori, Shigeyuki, 2024. "The higher the better? Hedging and investment strategies in cryptocurrency markets: Insights from higher moment spillovers," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    24. Shaen Corbet & Les Oxley, 2023. "Investigating the Academic Response to Cryptocurrencies: Insights from Research Diversification as Separated by Journal Ranking," Review of Corporate Finance, now publishers, vol. 3(4), pages 487-528, September.
    25. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "Can cryptocurrencies provide a viable hedging mechanism for benchmark index investors?," Research in International Business and Finance, Elsevier, vol. 64(C).
    26. Akyildirim, Erdinc & Corbet, Shaen & Coskun, Ali & Ercan, Metin, 2025. "Connectedness of cryptocurrency-related stocks and the cryptocurrency market: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    27. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).

  31. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Laiz, Marcela Tetzner, 2021. "The finance-growth nexus: The role of banks," Economic Systems, Elsevier, vol. 45(1).
    See citations under working paper version above.
  32. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2021. "Insights from the (in)efficiency of Chinese sectoral indices during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).

    Cited by:

    1. Talebi, Alireza & Bragues, George & Hadlul, Seham & Sharma, Agam, 2025. "Global Stock Markets during Covid-19: Did Rationality Prevail?," Research in International Business and Finance, Elsevier, vol. 73(PA).
    2. Fernandes, Leonardo H.S. & Figueirôa, José R.A. & Martins, Caleb M.F. & Martins, Adriel M.F., 2025. "The battle of informational efficiency: Cryptocurrencies vs. classical assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    3. Belanes, Amel & Saâdaoui, Foued & Amirat, Amina & Rabbouch, Hana, 2024. "Safety assessment of cryptocurrencies as risky assets during the COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    4. Xunfa Lu & Huanhuan Yan & Pengchao He & Nicholas Apergis, 2025. "Multifractal relationship between decomposed oil price shocks and trading volume," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
    5. Bariviera, Aurelio F. & Fabregat-Aibar, Laura & Sorrosal-Forradellas, Maria-Teresa, 2023. "Disentangling the impact of economic and health crises on financial markets," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    7. Martins, Adriel M.F. & Fernandes, Leonardo H.S. & Nascimento, Abraão D.C., 2023. "Scientific progress in information theory quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    8. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.

  33. Scalco, Paulo R. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "Prudential measures and their adverse effects on bank competition: The case of Brazil," Economic Modelling, Elsevier, vol. 100(C).

    Cited by:

    1. Gao, Cuiyun & Wang, Qian, 2023. "Does digital finance aggravate bank competition? Evidence from China," Research in International Business and Finance, Elsevier, vol. 66(C).
    2. González, Francisco, 2022. "Macroprudential policies and bank competition: International bank-level evidence," Journal of Financial Stability, Elsevier, vol. 58(C).

  34. Thiago Christiano Silva & Iftekhar Hasan & Benjamin Miranda Tabak, 2021. "Financing choice and local economic growth: evidence from Brazil," Journal of Economic Growth, Springer, vol. 26(3), pages 329-357, September.

    Cited by:

    1. Alves, Flavia, 2026. "ICT payoffs for workers: Evidence from the labor market in Brazil," Telecommunications Policy, Elsevier, vol. 50(1).
    2. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2021. "COVID-19 and Local Market Power in Credit Markets," Working Papers Series 558, Central Bank of Brazil, Research Department.
    3. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2022. "Covid-19 and market power in local credit markets: the role of digitalization," BIS Working Papers 1017, Bank for International Settlements.
    4. Silva, Thiago Christiano & Valença, Paulo Ricardo Mendes & Tabak, Benjamin Miranda, 2024. "Economic performance of exporting sectors: Evidence for manufacturing in Brazil," Economic Systems, Elsevier, vol. 48(2).
    5. Carlos R. Azzoni & Gustavo H. L. Castro, 2025. "Economic crises and regional disparities in Brazil in the XXI century," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(1), pages 1-29, March.
    6. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).
    7. Ruize Cai & Kyung Hwan Yun & Minho Kim, 2022. "Financing Constraints and Corporate Value in China: The Moderating Role of Multinationality and Ownership Type," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    8. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).

  35. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

    Cited by:

    1. Bingyao Jia & Yuting Chen & Jing Wu, 2021. "Bibliometric Analysis and Research Trend Forecast of Healthy Urban Planning for 40 Years (1981–2020)," IJERPH, MDPI, vol. 18(18), pages 1-25, September.
    2. Carlos León & Angélica Bahos-Olivera, 2020. "Quién es quién en la red de coautoría en Colombia," Borradores de Economia 1146, Banco de la Republica de Colombia.
    3. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

  36. Fernando H. A. De Araãšjo & Leonardo H. S. Fernandes & Benjamin M. Tabak, 2021. "Effects Of Covid-19 On Chinese Sectoral Indices: A Multifractal Analysis," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(07), pages 1-13, November.

    Cited by:

    1. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A., 2022. "Multifractal risk measures by Macroeconophysics perspective: The case of Brazilian inflation dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    3. Saâdaoui, Foued, 2023. "Skewed multifractal scaling of stock markets during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).

  37. Ely, Regis A. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "The transmission mechanisms of macroprudential policies on bank risk," Economic Modelling, Elsevier, vol. 94(C), pages 598-630.

    Cited by:

    1. Shabir, Mohsin & Jiang, Ping & Shahab, Yasir & Wang, Wenhao & Işık, Özcan & Mehroush, Iqra, 2024. "Diversification and bank stability: Role of political instability and climate risk," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 63-92.
    2. Rizwan, Muhammad Suhail, 2021. "Macroprudential regulations and systemic risk: Does the one-size-fits-all approach work?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    3. Changjun Zheng & Shiying Chen & Zhenhuan Dong, 2021. "Economic Fluctuation, Local Government Bond Risk and Risk-Taking of City Commercial Banks," Sustainability, MDPI, vol. 13(17), pages 1-26, September.
    4. Avdjiev, Stefan & Aysun, Uluc & Tseng, Michael C., 2022. "Regulatory arbitrage behavior of internationally active banks and global financial market conditions," Economic Modelling, Elsevier, vol. 112(C).
    5. Olszak, Małgorzata & Kowalska, Iwona, 2022. "Does bank competition matter for the effects of macroprudential policy on the procyclicality of lending?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    6. Malgorzata OLSZAK & Christophe J. GODLEWSKI & Iwona KOWALSKA & Agnieszka WYSOCKA, 2023. "Macroprudential policy and net interest margin in European banks," Working Papers of LaRGE Research Center 2023-05, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    7. Olszak, Małgorzata & Godlewski, Christophe J. & Roszkowska, Sylwia & Skała, Dorota, 2025. "Loan loss provisions of European banks – Does macroprudential tightening matter?," Research in International Business and Finance, Elsevier, vol. 73(PB).
    8. Gupta, Juhi & Kashiramka, Smita, 2024. "Examining the impact of liquidity creation on bank stability in the Asia Pacific region: Do ESG disclosures play a moderating role?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    9. Ka Kei Chan & E. Philip Davis & Dilruba Karim, 2024. "Macroprudential policy, bank competition and bank risk in East Asia," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(3), pages 326-358, September.
    10. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    11. Shabir, Mohsin & Jiang, Ping & Hashmi, Shujahat Haider & Bakhsh, Satar, 2022. "Non-linear nexus between economic policy uncertainty and bank lending," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 657-679.
    12. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
    13. Tibor Szendrei & Nikolett V'ag'o & Katalin Varga, 2026. "A Roof Over Risk: A House Price-at-Risk Framework for Hungary," Papers 2602.18592, arXiv.org.
    14. Hodula, Martin & Ngo, Ngoc Anh, 2024. "Does macroprudential policy leak? Evidence from shadow bank lending in EU countries," Economic Modelling, Elsevier, vol. 132(C).
    15. Shabir, Mohsin & Jiang, Ping & Bakhsh, Satar & Zhao, Zhongxiu, 2021. "Economic policy uncertainty and bank stability: Threshold effect of institutional quality and competition," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    16. Godlewski, Christophe J. & Olszak, Małgorzata, 2025. "Macroprudential policy and corporate loans: evidence from the syndicated loan market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 104(C).
    17. Krenz, Johanna & Verma, Akhilesh K, 2023. "A leaky pipeline: Macroprudential policy shocks, non-bank financial intermediation and systemic risk in Europe," WiSo-HH Working Paper Series 79, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    18. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    19. Qin, Xueming & Peng, Gangdong & Zhao, Mengxiang, 2025. "Effects of inflation and macroprudential policies on bank risk: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 97(C).
    20. Apergis, Nicholas & Aysan, Ahmet F. & Bakkar, Yassine, 2022. "Borrower- and lender-based macroprudential policies: What works best against bank systemic risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    21. Muhammad Suhail Rizwan & Anum Qureshi & Irfan Ullah Sahibzada, 2024. "Macro-prudential regulations and systemic risk: the role of country-level governance indicators," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(3), pages 305-325, September.
    22. Dzhagityan, E. & Alekseeva, M., 2024. "The effect of macroprudential policy on risks of U.S. bank holding companies," Journal of the New Economic Association, New Economic Association, vol. 63(2), pages 168-191.
    23. Roberto Ercegovac & Tea Šestanović & Mario Pečarić, 2025. "ECB quantitative tightening: Euribor-Overnight Index Swap spread and transmission mechanism efficiency," Bank i Kredyt, Narodowy Bank Polski, vol. 56(2), pages 163-184.

  38. Silva, Thiago Christiano & Guerra, Solange Maria & da Silva, Michel Alexandre & Tabak, Benjamin Miranda, 2020. "Micro-level transmission of monetary policy shocks: The trading book channel," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 279-298.

    Cited by:

    1. Heuver, Richard A. & Berndsen, Ron J., 2022. "Liquidity coverage ratio in a payment network: Uncovering contagion paths," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    2. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Amancio, Diego R., 2024. "Machine learning and economic forecasting: The role of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    3. Pei-Fen, Chen & Mei-Ping, Chen & Min-Syu, Lin & Chingnun, Lee, 2025. "Cross-border transmission effect of China's monetary policy on the exchange rate of Asia-Pacific economies," International Review of Financial Analysis, Elsevier, vol. 97(C).
    4. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Husain, Afzol & Karim, Sitara & Sensoy, Ahmet, 2024. "Financial fusion: Bridging Islamic and Green investments in the European stock market," International Review of Financial Analysis, Elsevier, vol. 94(C).

  39. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).

    Cited by:

    1. Carlos Enrique Carrasco-Gutierrez & Philipp Ehrl, 2023. "Regional Estimates of Residential Electricity Demand in Brazil," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 465-476, January.
    2. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2023. "The use of ICTs and income distribution in Brazil: A machine learning explanation using SHAP values," Telecommunications Policy, Elsevier, vol. 47(8).
    3. Philipp Ehrl, 2021. "Live large or die young: subsidized loans and firm survival in Brazil," Empirical Economics, Springer, vol. 61(6), pages 3479-3503, December.

  40. da Silva, Eduardo Borges & Silva, Thiago Christiano & Constantino, Michel & Amancio, Diego Raphael & Tabak, Benjamin Miranda, 2020. "Overconfidence and the 2D:4D ratio," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).

    Cited by:

    1. Borges da Silva, Eduardo & Emanuel M. Oliveira, Vitor, 2022. "Uma análise de otimização asg à luz das premissas de finanças comportamentais [An analysis of esg optimization in the light of behavioral finance]," MPRA Paper 115510, University Library of Munich, Germany.
    2. Zunxin Zheng & Donghui Li & Tingyong Zhong & Tian Wang & Ling He, 2023. "CEO facial structure and stock price crash risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 873-905, April.
    3. Borges da Silva, Eduardo & Moreno Cordeiro de Sousa, Alexandre, 2022. "Avaliação econômico-financeira de fintechs no mercado brasileiro: o caso INTER [Economic and financial evaluation of fintech in the Brazilian market: the case of INTER]," MPRA Paper 115509, University Library of Munich, Germany.

  41. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    See citations under working paper version above.
  42. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.

    Cited by:

    1. Cynthia Pagliaro & Dhagash Mehta & Han-Tai Shiao & Shaofei Wang & Luwei Xiong, 2021. "Investor Behavior Modeling by Analyzing Financial Advisor Notes: A Machine Learning Perspective," Papers 2107.05592, arXiv.org.

  43. Herrera, Gabriel Paes & Constantino, Michel & Tabak, Benjamin Miranda & Pistori, Hemerson & Su, Jen-Je & Naranpanawa, Athula, 2019. "Long-term forecast of energy commodities price using machine learning," Energy, Elsevier, vol. 179(C), pages 214-221.

    Cited by:

    1. Dimitrios Mouchtaris & Emmanouil Sofianos & Periklis Gogas & Theophilos Papadimitriou, 2021. "Forecasting Natural Gas Spot Prices with Machine Learning," Energies, MDPI, vol. 14(18), pages 1-13, September.
    2. Shao, Qihui & Du, Yongqiang & Xue, Wenxuan & Yang, Zhiyuan & Jia, Zhenxin & Shao, Xianzhu & Xu, Xue & Duan, Hongbo & Zhu, Zhipeng, 2024. "Predicting China's thermal coal price: Does multivariate decomposition-integrated forecasting model with window rolling work?," Resources Policy, Elsevier, vol. 99(C).
    3. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
    4. Kuntadi, Cris, 2022. "Effective energy commodity risk management on Indonesia," Resources Policy, Elsevier, vol. 78(C).
    5. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    6. Rao, Amar & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Hossain, Mohammad Razib & Dev, Dhairya, 2025. "Crude oil Price forecasting: Leveraging machine learning for global economic stability," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
    7. Alameer, Zakaria & Fathalla, Ahmed & Li, Kenli & Ye, Haiwang & Jianhua, Zhang, 2020. "Multistep-ahead forecasting of coal prices using a hybrid deep learning model," Resources Policy, Elsevier, vol. 65(C).
    8. Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    9. Gustavo Carvalho Santos & Flavio Barboza & Antônio Cláudio Paschoarelli Veiga & Mateus Ferreira Silva, 2021. "Forecasting Brazilian Ethanol Spot Prices Using LSTM," Energies, MDPI, vol. 14(23), pages 1-15, November.
    10. Haithem Awijen & Hachmi Ben Ameur & Zied Ftiti & Waël Louhichi, 2025. "Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models," Annals of Operations Research, Springer, vol. 345(2), pages 979-1002, February.
    11. Saleh Abushamah, Hussein Abdulkareem & Skoda, Radek, 2022. "Nuclear energy for district cooling systems – Novel approach and its eco-environmental assessment method," Energy, Elsevier, vol. 250(C).
    12. Shu Tang & Dongphil Chun & Xuhui Liu, 2025. "An Applied Study on Predicting Natural Gas Prices Using Mixed Models," Energies, MDPI, vol. 18(19), pages 1-22, October.
    13. Liu, Yanchu & Zhou, Heyang & Yang, Haisheng, 2025. "Latent factor models for the Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    14. Olubusoye, Olusanya E & Akintande, Olalekan J. & Yaya, OlaOluwa S. & Ogbonna, Ahamuefula & Adenikinju, Adeola F., 2021. "Energy Pricing during the COVID-19 Pandemic: Predictive Information-Based Uncertainty Indexes with Machine Learning Algorithm," MPRA Paper 109838, University Library of Munich, Germany.
    15. Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2025. "Forecasting gasoline prices using oil prices: New evidence based on the rocket and feather hypothesis," Energy, Elsevier, vol. 335(C).
    16. Liu, Jinpei & Qiu, Biyue & Du, Pengcheng & Zhao, Xiaoman & Zhu, Jiaming, 2025. "A novel probabilistic connectivity network link prediction model for natural gas price based on an improved K-shell algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 671(C).
    17. Wang, Jun & Cao, Junxing & Yuan, Shan & Cheng, Ming, 2021. "Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network," Energy, Elsevier, vol. 233(C).
    18. Zhang, Kefei & Cao, Hua & Thé, Jesse & Yu, Hesheng, 2022. "A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms," Applied Energy, Elsevier, vol. 306(PA).
    19. Hachmi Ben Ameur & Sahbi Boubaker & Zied Ftiti & Wael Louhichi & Kais Tissaoui, 2024. "Forecasting commodity prices: empirical evidence using deep learning tools," Annals of Operations Research, Springer, vol. 339(1), pages 349-367, August.
    20. Ge, Lei & Huang, Qiwei & Zhu, Fengshuang & Chen, Shun, 2025. "Advanced time series forecasting for commodities: Insights from the FEDformer model," Energy Economics, Elsevier, vol. 147(C).
    21. Ahmad, Tanveer & Zhang, Dongdong & Huang, Chao, 2021. "Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications," Energy, Elsevier, vol. 231(C).
    22. Varshini, Anu & Kayal, Parthajit & Maiti, Moinak, 2024. "How good are different machine and deep learning models in forecasting the future price of metals? Full sample versus sub-sample," Resources Policy, Elsevier, vol. 92(C).
    23. Kais Tissaoui & Taha Zaghdoudi & Abdelaziz Hakimi & Mariem Nsaibi, 2023. "Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 663-687, August.
    24. Wang, Hanjie & Maruejols, Lucie & Yu, Xiaohua, 2021. "Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning," Energy Economics, Elsevier, vol. 102(C).
    25. Farooq Ahmad & Livio Finos & Mariangela Guidolin, 2024. "Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis," Forecasting, MDPI, vol. 6(4), pages 1-20, November.
    26. Yue Ma & Ling Miao & Lianyong Feng & Ruirui Fang, 2026. "The ripple effects of international energy prices on domestic products in China under external shocks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(3), pages 7129-7145, March.
    27. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    28. Zhang, Xiaokong & Chai, Jian & Tian, Lingyue & Yang, Ying & Zhang, Zhe George & Pan, Yue, 2023. "Forecast and structural characteristics of China's oil product consumption embedded in bottom-line thinking," Energy, Elsevier, vol. 278(PA).
    29. Zhang, Tingting & Tang, Zhenpeng & Wu, Junchuan & Du, Xiaoxu & Chen, Kaijie, 2021. "Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm," Energy, Elsevier, vol. 229(C).
    30. Zhao, Shuchun & Guo, Junheng & Dang, Xiuhu & Ai, Bingyan & Zhang, Minqing & Li, Wei & Zhang, Jinli, 2022. "Energy consumption, flow characteristics and energy-efficient design of cup-shape blade stirred tank reactors: Computational fluid dynamics and artificial neural network investigation," Energy, Elsevier, vol. 240(C).
    31. Wu, Siping & Liu, Junjie & Liu, Lang, 2024. "Interval price predictions for coal using a new multi-scale ensemble model," Energy, Elsevier, vol. 313(C).
    32. Yang, Zhaiting & Liu, Huiqin & Jiang, Youwei & Zhang, Zhuyun, 2023. "Innovative strategies for green economic recovery: Enhancing efficiency in resource markets," Resources Policy, Elsevier, vol. 86(PB).
    33. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2025. "Dynamic volatility spillovers among commodities, bitcoin, and emerging markets," Emerging Markets Review, Elsevier, vol. 69(C).
    34. Jonathan Berrisch & Florian Ziel, 2020. "Distributional Modeling and Forecasting of Natural Gas Prices," Papers 2010.06227, arXiv.org, revised Aug 2021.
    35. Abdollahi, Hooman, 2020. "A novel hybrid model for forecasting crude oil price based on time series decomposition," Applied Energy, Elsevier, vol. 267(C).
    36. Xu, Aiting & Chen, Jiapeng & Li, Jinchang & Chen, Zheyu & Xu, Shenyi & Nie, Ying, 2025. "Multivariate rolling decomposition hybrid learning paradigm for power load forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    37. Wu, Siping & Xia, Guilin & Liu, Lang, 2023. "A novel decomposition integration model for power coal price forecasting," Resources Policy, Elsevier, vol. 80(C).
    38. Zadeh, Omid Razavi & Romagnoli, Silvia, 2024. "Financing sustainable energy transition with algorithmic energy tokens," Energy Economics, Elsevier, vol. 132(C).
    39. Tostes, Bernardo & Henriques, Sofia T. & Brockway, Paul E. & Heun, Matthew Kuperus & Domingos, Tiago & Sousa, Tânia, 2024. "On the right track? Energy use, carbon emissions, and intensities of world rail transportation, 1840–2020," Applied Energy, Elsevier, vol. 367(C).
    40. Hajirahimi, Zahra & Khashei, Mehdi & Etemadi, Sepideh, 2022. "A novel class of reliability-based parallel hybridization (RPH) models for time series forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    41. Ansari Saleh Ahmar & Zulkifli Rais & Faika Tunnas, 2025. "Comparative analysis of support vector regression (SVR) and SutteARIMA in predicting coal prices in Indonesia," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4185-4200, October.
    42. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.
    43. Xie, Gang & Jiang, Fuxin & Zhang, Chengyuan, 2023. "A secondary decomposition-ensemble methodology for forecasting natural gas prices using multisource data," Resources Policy, Elsevier, vol. 85(PA).
    44. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    45. Lin, Yu & Dai, Dongsheng & Yu, Yuanyuan & Li, Zhaofeng & Huang, Wenhui & Zhao, Liangkai & Xing, Haiyang, 2025. "Forecasting natural gas prices using a novel hybrid model: Comparative study of different sliding windows," Energy, Elsevier, vol. 329(C).
    46. Bingzi Jin & Xiaojie Xu, 2026. "Machine learning wholesale white wheat price index forecasts," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(1), pages 277-305, February.
    47. Tiwari, Aviral Kumar & Sharma, Gagan Deep & Rao, Amar & Hossain, Mohammad Razib & Dev, Dhairya, 2024. "Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting," Energy Economics, Elsevier, vol. 134(C).

  44. Fazio, Dimas Mateus & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira, 2018. "Inflation targeting and financial stability: Does the quality of institutions matter?," Economic Modelling, Elsevier, vol. 71(C), pages 1-15.
    See citations under working paper version above.
  45. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    See citations under working paper version above.
  46. Gogas, Periklis & Pragidis, Ioannis & Tabak, Benjamin M., 2018. "Asymmetric effects of monetary policy in the U.S and Brazil," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
    See citations under working paper version above.
  47. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2018. "Financial Networks," Complexity, Hindawi, vol. 2018, pages 1-2, April.

    Cited by:

    1. Nicolás Magner & Jaime F Lavin & Mauricio Valle & Nicolás Hardy, 2021. "The predictive power of stock market’s expectations volatility: A financial synchronization phenomenon," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-21, May.
    2. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    3. Yong Tang & Jason Jie Xiong & Zi-Yang Jia & Yi-Cheng Zhang, 2018. "Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets," Complexity, Hindawi, vol. 2018, pages 1-31, November.
    4. Seabrook, Isobel E. & Barucca, Paolo & Caccioli, Fabio, 2021. "Evaluating structural edge importance in temporal networks," LSE Research Online Documents on Economics 112515, London School of Economics and Political Science, LSE Library.
    5. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    6. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    7. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    8. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    9. Deev, Oleg & Lyócsa, Štefan, 2020. "Connectedness of financial institutions in Europe: A network approach across quantiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    10. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    11. Huichen Jiang & Jun Zhang, 2020. "Discovering Systemic Risks of China's Listed Banks by CoVaR Approach in the Digital Economy Era," Mathematics, MDPI, vol. 8(2), pages 1-28, February.
    12. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    13. Aida Barkauskaite & Ausrine Lakstutiene & Justyna Witkowska, 2018. "Measurement of Systemic Risk in a Common European Union Risk-Based Deposit Insurance System: Formal Necessity or Value-Adding Process?," Risks, MDPI, vol. 6(4), pages 1-21, December.
    14. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Networks," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.
    15. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.
    16. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    17. Lin Zou & Lijuan Xie & Yuanjing Yang, 2019. "A Double-Layer Network and the Contagion Mechanism of China's Financial Systemic Risk," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(4), pages 1-9.
    18. Tuong Le & Minh Thanh Vo & Bay Vo & Mi Young Lee & Sung Wook Baik, 2019. "A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction," Complexity, Hindawi, vol. 2019, pages 1-12, August.
    19. Runjie Xu & Chuanmin Mi & Rafal Mierzwiak & Runyu Meng, 2019. "Complex Network Construction of Internet Financial risk," Papers 1904.06640, arXiv.org, revised Aug 2019.

  48. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.

    Cited by:

    1. Li, Shouwei & Liu, Yifu & Wu, Chaoqun, 2020. "Systemic risk in bank-firm multiplex networks," Finance Research Letters, Elsevier, vol. 33(C).
    2. Hassan Dargahi & Mehdi Hadian, 2022. "Oil shocks, financial stability and implementing macroeconomics and macro‐prudential policies in an oil‐exporting economy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2481-2496, April.
    3. Pallante, Gianluca & Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2025. "Robust-less-fragile: Tackling systemic risk and financial contagion in a macro agent-based model," Journal of Financial Stability, Elsevier, vol. 76(C).
    4. Chao Li & Zhuoer Zhang & Han Cang, 2025. "Tail Risk Spillovers Between the Financial Sector and Real Economy: Network Analysis of China’s Industries," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 5055-5081, December.
    5. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    6. Tabak, Benjamin Miranda & Silva, Igor Bettanin Dalla Riva e & Silva, Thiago Christiano, 2022. "Analysis of connectivity between the world’s banking markets: The COVID-19 global pandemic shock," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 324-336.
    7. Olivier Accominotti & Delio Lucena-Piquero & Stefano Ugolini, 2023. "Intermediaries’ Substitutability and Financial Network Resilience: A Hyperstructure Approach," Post-Print hal-04160805, HAL.
    8. Sánchez García, Javier & Cruz Rambaud, Salvador, 2023. "Inflation and systemic risk: A network econometric model," Finance Research Letters, Elsevier, vol. 56(C).
    9. Alexandre, Michel & Silva, Thiago Christiano & Tabak, Benjamin Miranda, 2024. "The labor market channel of systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    10. Feng, Yun & Hou, Weijie & Song, Yuping, 2023. "Asymmetric contagion of jump risk in the Chinese financial sector: Monetary policy transmission matters," Economic Modelling, Elsevier, vol. 119(C).
    11. Lei Song & Yu Chen, 2025. "Does a non-performing assets disposal fund help control systemic risk? Evidence from an interbank financial network in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-45, December.
    12. Thiago Christiano Silva & Solange Maria Guerra & Benjamin Miranda Tabak, 2019. "Fiscal Risk and Financial Fragility," Working Papers Series 495, Central Bank of Brazil, Research Department.
    13. Wang, Ze & Gao, Xiangyun & Huang, Shupei & Sun, Qingru & Chen, Zhihua & Tang, Renwu & Di, Zengru, 2022. "Measuring systemic risk contribution of global stock markets: A dynamic tail risk network approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. Roncoroni, Alan & Battiston, Stefano & D'Errico, Marco & Hałaj, Grzegorz & Kok, Christoffer, 2019. "Interconnected banks and systemically important exposures," Working Paper Series 2331, European Central Bank.
    15. Kanno, Masayasu, 2020. "Credit rating migration risk and interconnectedness in a corporate lending network," Research in International Business and Finance, Elsevier, vol. 54(C).
    16. Zhu, Huiming & Deng, Xi & Ren, Yinghua & Huang, Xi, 2024. "Time-frequency co-movement and cross-quantile connectedness of exchange rates: Evidence from ASEAN+3 Countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    17. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    18. Zhang, Yan & Xu, Yushi & Zhu, Xintong & Huang, Jionghao, 2024. "Coal price shock propagation through sectoral financial interconnectedness in China's stock market: Quantile coherency network modelling and shock decomposition analysis," Journal of Commodity Markets, Elsevier, vol. 34(C).
    19. Lei Song & Shuoge Qian & Yu Chen, 2025. "Credit guarantee, and risk contagion in guarantee networks: A supply chain perspective," Mathematics and Financial Economics, Springer, volume 19, number 6, January.
    20. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    21. Michel Alexandre & Thiago Christiano Silva, 2023. "Labor Market and Systemic Risk: a network-based approach," Working Papers Series 584, Central Bank of Brazil, Research Department.
    22. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    23. Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    24. Miao Tang & Hong Fan, 2025. "Dynamic Multilayer Network for Systemic Risk and Bank Regulation Based on CDS," Computational Economics, Springer;Society for Computational Economics, vol. 65(2), pages 691-715, February.
    25. Chen, Yan & Wang, Gang-Jin & Zhu, You & Xie, Chi & Uddin, Gazi Salah, 2023. "Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China," Global Finance Journal, Elsevier, vol. 58(C).
    26. Yongheng Zhang & Mengkai Xing & Xiaoqi Zhang, 2026. "Spatial correlation network and driving factors of inter-provincial financial risk in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-13, December.
    27. Swain, Pankaj & Poddar, Abhishek & Misra, Arun Kumar, 2025. "How stressed are the banks? An inter-temporal network analysis," Emerging Markets Review, Elsevier, vol. 69(C).
    28. Giovanni Carnazza & Pierluigi Vellucci, 2022. "Network analysis and Eurozone trade imbalances," Papers 2209.09837, arXiv.org.
    29. Arreola Hernandez, Jose & Kang, Sang Hoon & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2020. "Spillovers and diversification potential of bank equity returns from developed and emerging America," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    30. Zhang, Xingmin & Fu, Qiang & Lu, Liping & Wang, Qingyu & Zhang, Shuai, 2021. "Bank liquidity creation, network contagion and systemic risk: Evidence from Chinese listed banks," Journal of Financial Stability, Elsevier, vol. 53(C).
    31. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    32. Téllez-León, Isela-Elizabeth & Martínez-Jaramillo, Serafín & O. L. Escobar-Farfán, Luis & Hochreiter, Ronald, 2021. "How are network centrality metrics related to interest rates in the Mexican secured and unsecured interbank markets?," Journal of Financial Stability, Elsevier, vol. 55(C).
    33. Jan Fialkowski & Christian Diem & Andr'as Borsos & Stefan Thurner, 2025. "A data-driven econo-financial stress-testing framework to estimate the effect of supply chain networks on financial systemic risk," Papers 2502.17044, arXiv.org.
    34. Deev, Oleg & Lyócsa, Štefan, 2020. "Connectedness of financial institutions in Europe: A network approach across quantiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    35. Pham, Thach N. & Powell, Robert & Bannigidadmath, Deepa, 2024. "Tail risk network analysis of Asian banks," Global Finance Journal, Elsevier, vol. 62(C).
    36. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.
    37. Ruguo Fan & Xiao Xie & Yuanyuan Wang & Jinchai Lin, 2025. "Effect of financial contagion between real and financial sectors on asset bubbles: A two‐layer network game approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 393-408, January.
    38. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    39. Tabachová, Zlata & Diem, Christian & Borsos, András & Burger, Csaba & Thurner, Stefan, 2024. "Estimating the impact of supply chain network contagion on financial stability," Journal of Financial Stability, Elsevier, vol. 75(C).
    40. Shuyue Jin & Lei Song & Lei Shu & Qifeng Gao & Yu Chen, 2024. "Systemic risk in Chinese interbank lending networks: insights from short-term and long-term lending data," Empirical Economics, Springer, vol. 67(6), pages 2539-2564, December.
    41. Huang, Jionghao & Li, Ziruo & Xia, Xiaohua, 2021. "Network diffusion of international oil volatility risk in China's stock market: Quantile interconnectedness modelling and shock decomposition analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1-39.
    42. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    43. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.
    44. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Interdependence and portfolio optimisation of bank equity returns from developed and emerging Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 678-696, January.
    45. Kazim, Muhammad & Pirim, Harun & Yadav, Om Prakash & Le, Chau & Le, Trung, 2025. "Analysis of multilayer energy networks: A comprehensive literature review," Applied Energy, Elsevier, vol. 398(C).
    46. Wang, Chao & Liu, Xiaoxing & He, Jianmin, 2022. "Does diversification promote systemic risk?," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    47. Wang, Guanghou & Zhao, Han & Shu, Lei & Song, Lei, 2025. "Understanding risk spillover in multi-layer financial networks: The role of bank–firm connections," International Review of Financial Analysis, Elsevier, vol. 105(C).
    48. Chao Wang & Boyi Chen & Xiaoxing Liu, 2024. "Credit diversification and banking systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(1), pages 59-83, January.
    49. Biswas, Swarnava S. & Gómez, Fabiana, 2018. "Contagion through common borrowers," Journal of Financial Stability, Elsevier, vol. 39(C), pages 125-132.
    50. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    51. Tuong Le & Minh Thanh Vo & Bay Vo & Mi Young Lee & Sung Wook Baik, 2019. "A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction," Complexity, Hindawi, vol. 2019, pages 1-12, August.
    52. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    53. Topalog̃lu Bozkurt, Ayça & Özyıldırım, Süheyla, 2025. "Firm commonality, bank connectedness and portfolio riskiness," International Review of Economics & Finance, Elsevier, vol. 97(C).

  49. Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk & Tabak, Benjamin M., 2017. "Not all emerging markets are the same: A classification approach with correlation based networks," Journal of Financial Stability, Elsevier, vol. 33(C), pages 163-186.

    Cited by:

    1. Das, Sanjiv R. & Kalimipalli, Madhu & Nayak, Subhankar, 2022. "Banking networks, systemic risk, and the credit cycle in emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    2. Thiago C. Silva & Diego R. Amancio & Benjamin M. Tabak, 2020. "Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers," Papers 2001.06889, arXiv.org, revised Aug 2020.
    3. Sanjay Kumar Rout & Hrushikesh Mallick, 2022. "Sovereign Bond Market Shock Spillover Over Different Maturities: A Journey from Normal to Covid-19 Period," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 697-734, December.
    4. Ye, Wuyi & Li, Mingge & Wu, Yuehua, 2022. "A novel estimation of time-varying quantile correlation for financial contagion detection," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    5. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    6. Tian, Hu & Zheng, Xiaolong & Zeng, Daniel Danjun, 2019. "Analyzing the dynamic sectoral influence in Chinese and American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    7. Chen, Yanhua & Li, Youwei & Pantelous, Athanasios & Stanley, Eugene, 2020. "Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach," MPRA Paper 101700, University Library of Munich, Germany.
    8. Shouwei Li & Shihang Wen, 2017. "Multiplex Networks of the Guarantee Market: Evidence from China," Complexity, Hindawi, vol. 2017, pages 1-7, July.
    9. Uddin, Ajim & Tao, Xinyuan & Yu, Dantong, 2023. "Attention based dynamic graph neural network for asset pricing," Global Finance Journal, Elsevier, vol. 58(C).

  50. Silva, Thiago Christiano & Souza, Sergio Rubens Stancato & Tabak, Benjamin Miranda, 2017. "Monitoring vulnerability and impact diffusion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 109-135.
    See citations under working paper version above.
  51. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    See citations under working paper version above.
  52. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.

    Cited by:

    1. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.

  53. Silva, Thiago Christiano & da Silva, Michel Alexandre & Tabak, Benjamin Miranda, 2017. "Systemic risk in financial systems: A feedback approach," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 97-120.
    See citations under working paper version above.
  54. Silva, Sergio H.R. da & Tabak, Benjamin M. & Cajueiro, Daniel O. & Fazio, Dimas M., 2017. "Economic growth, volatility and their interaction: What’s the role of finance?," Economic Systems, Elsevier, vol. 41(3), pages 433-444.
    See citations under working paper version above.
  55. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.

    Cited by:

    1. Lamees Al-Durgham & Mohammad Adeinat, 2021. "Assessing the Relative Efficiency for Listed Manufacturing Firms in Jordan Using Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 135-139.
    2. Yun Liao, 2024. "Super-efficiency and Stock Market Valuation: Evidence from Listed Banks in China (2006 to 2023)," Papers 2407.14734, arXiv.org.
    3. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    4. Eric Fosu Oteng-Abayie, 2017. "Technical efficiency and total factor productivity of rural banks in Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1366088-136, January.
    5. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    6. Michaela Staňková, 2020. "Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(4), pages 765-774.
    7. Stephen Zamore & Leif Atle Beisland & Roy Mersland, 2023. "Excessive focus on risk? Non‐performing loans and efficiency of microfinance institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1290-1307, April.
    8. Defeng Zhang & Zhilu Sun, 2023. "The Impact of Agricultural Global Value Chain Participation on Agricultural Total Factor Productivity," Agriculture, MDPI, vol. 13(11), pages 1-20, November.
    9. Bresciani, Stefano & Puertas, Rosa & Ferraris, Alberto & Santoro, Gabriele, 2021. "Innovation, environmental sustainability and economic development: DEA-Bootstrap and multilevel analysis to compare two regions," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    10. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.
    11. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    12. Walker, Nathan L. & Styles, David & Williams, A. Prysor, 2023. "Water sector resilience in the United Kingdom and Ireland: The COVID-19 challenge," Utilities Policy, Elsevier, vol. 82(C).
    13. Ikram, Majid & Rafique, Muhammad Zahid & Mohammed, Kamel Si & Waheed, Rida & Ferraz, Diogo, 2023. "Efficient resource utilization of the electricity distribution sector using nonparametric data envelopment analysis and influential factors," Utilities Policy, Elsevier, vol. 82(C).
    14. Huma Neupane & Krishna P. Paudel & Mandeep Adhikari & Qinying He, 2022. "Impact of cooperative membership on production efficiency of smallholder goat farmers in Nepal," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(2), pages 337-356, June.
    15. Andriakopoulos, Konstantinos & Kounetas, Konstantinos, 2019. "The impact of large lending on bank efficiency in U.S.A," MPRA Paper 96036, University Library of Munich, Germany.
    16. Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
    17. Reindolph Osei Anim & Newman Amaning & Joyce Ama Quartey & Patrick Twumasi Frimpong, 2021. "Exploring the impact of Corporate Social Responsibility on the Financial Performance of Rural and Community Banks in Ghana," International Business Research, Canadian Center of Science and Education, vol. 14(2), pages 1-37, February.
    18. S G Sisira Dharmasri Jayasekara & K L Wasantha Perera & A Roshan Ajward, 2018. "Fair Value Accounting Practices and Efficiency of Banks: A Theoretical Perspective," Accounting and Finance Research, Sciedu Press, vol. 7(4), pages 1-66, November.
    19. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    20. Roslah Arsad, 2024. "Measuring Efficiency Performance in Economic Productivity Function: Parametric and Non-Parametric Frontier Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 4162-4172, August.
    21. Pingfan Song & Yunzhi Chen & Zhixiang Zhou & Huaqing Wu, 2018. "Performance Analysis of Peer-to-Peer Online Lending Platforms in China," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
    22. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    23. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
    24. Bingbing Shen & Aleksandr Aleksandrovich Perfilev & Lidiya Pavlovna Bufetova & Xueyan Li, 2023. "Bank Profitability Analysis in China: Stochastic Frontier Approach," JRFM, MDPI, vol. 16(4), pages 1-20, April.
    25. Song, Yi & Ruan, Shengzhe & Cheng, Jinhua & Zhang, Yijun, 2023. "Technological change in critical metallic mineral sub-sectors and its impacts on mineral supply: Evidence from China," Resources Policy, Elsevier, vol. 85(PA).
    26. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    27. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    28. Shen, Chuang & Wu, Junyi & Li, Ying & Chen, Qian, 2025. "Does digital transformation improve the cost efficiency of commercial banks? Evidence from China," Finance Research Letters, Elsevier, vol. 73(C).
    29. Qian Long Kweh & Wen-Min Lu & Kaoru Tone & Hsian-Ming Liu, 2024. "Evaluating the resource management and profitability efficiencies of US commercial banks from a dynamic network perspective," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-20, December.
    30. Ferdian Timur Satyagraha & Rudi Purwono & Dyah Wulan Sari, 2022. "An Analysis of the Performance of Regional Development Banks (RDB) in Indonesia: Stochastic Frontier Analysis Approach," Economies, MDPI, vol. 10(9), pages 1-12, September.
    31. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    32. Mohd Irfan & Bamadev Mahapatra & Muhammad Shahbaz, 2024. "Energy efficiency in the Indian transportation sector: effect on carbon emissions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 6653-6676, March.
    33. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    34. VikniswariVija Kumaran* & Yew Yao Xi & Fan Sui Feng & Ho Xiao Jin & MakKah Weng & Teh Chun Pin & Shelena Soosay Nathan, 2018. "Measuring the Technical Efficiency of Oceania Continent Airports: Does Workload Unit Matters?," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 1120-1124:6.

  56. Benjamin M Tabak & Dimas M Fazio & Regis A Ely & Joao M. T. Amaral & Daniel O Cajueiro, 2017. "The effects of capital buffers on profitability: An empirical study," Economics Bulletin, AccessEcon, vol. 37(3), pages 1468-1473.

    Cited by:

    1. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.
    2. Ely, Regis A. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "The transmission mechanisms of macroprudential policies on bank risk," Economic Modelling, Elsevier, vol. 94(C), pages 598-630.
    3. Scalco, Paulo R. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "Prudential measures and their adverse effects on bank competition: The case of Brazil," Economic Modelling, Elsevier, vol. 100(C).

  57. Benjamin Miranda Tabak & Tito Belchior Silva Moreira & Dimas Mateus Fazio & André Luiz Cordeiro Cavalcanti & George Henrrique de Moura Cunha, 2016. "Monetary Expansion and the Banking Lending Channel," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-11, October.

    Cited by:

    1. Chuang Shen & Junyi Wu & Qian Chen, 2025. "Impact of noninterest business on the bank lending channel of monetary policy: evidence from China," Empirical Economics, Springer, vol. 69(6), pages 3127-3181, December.

  58. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    See citations under working paper version above.
  59. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Tabak, Benjamin Miranda, 2016. "Network structure analysis of the Brazilian interbank market," Emerging Markets Review, Elsevier, vol. 26(C), pages 130-152.
    See citations under working paper version above.
  60. Tabak, Benjamin M. & de Castro Miranda, Rodrigo & da Silva Medeiros, Maurício, 2016. "Contagion in CDS, banking and equity markets," Economic Systems, Elsevier, vol. 40(1), pages 120-134.
    See citations under working paper version above.
  61. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Tabak, Benjamin Miranda, 2016. "Structure and dynamics of the global financial network," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 218-234.
    See citations under working paper version above.
  62. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.

    Cited by:

    1. Oluwasegun B. Adekoya, 2021. "Persistence and efficiency of OECD stock markets: linear and nonlinear fractional integration approaches," Empirical Economics, Springer, vol. 61(3), pages 1415-1433, September.
    2. Corzo, Teresa & Martin-Bujack, Karin & Portela, Jose & Rodriguez-Gallego, Alejandro, 2025. "Floating exchange rate efficiency: Grouping patterns and pandemic impacts," International Economics, Elsevier, vol. 182(C).
    3. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2023. "Volatility spillovers between sovereign CDS and futures markets in various volatility states: Evidence from an emerging economy around the pandemic," Research in International Business and Finance, Elsevier, vol. 66(C).
    4. Diniz-Maganini, Natalia & Diniz, Eduardo H. & Rasheed, Abdul A., 2021. "Bitcoin’s price efficiency and safe haven properties during the COVID-19 pandemic: A comparison," Research in International Business and Finance, Elsevier, vol. 58(C).
    5. Xintong Wang & Ruoqi Han & Min Zheng, 2024. "Competitive strategy and stock market liquidity: a natural language processing approach," Information Technology and Management, Springer, vol. 25(1), pages 99-112, March.
    6. Mohamed Malek Belhoula & Walid Mensi & Kamel Naoui, 2024. "Impacts of investor's sentiment, uncertainty indexes, and macroeconomic factors on the dynamic efficiency of G7 stock markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2855-2886, June.
    7. Lee, Minhyuk & Song, Jae Wook & Kim, Sondo & Chang, Woojin, 2018. "Asymmetric market efficiency using the index-based asymmetric-MFDFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1278-1294.
    8. Jiang, Yonghong & Nie, He & Ruan, Weihua, 2018. "Time-varying long-term memory in Bitcoin market," Finance Research Letters, Elsevier, vol. 25(C), pages 280-284.
    9. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    10. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2021. "Exchange rate regimes and price efficiency: Empirical examination of the impact of financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    11. Bošnjak Mile & Novak Ivan & Vlajčić Davor, 2021. "Market Efficiency of Euro Exchange Rates and Trading Strategies," Naše gospodarstvo/Our economy, Sciendo, vol. 67(2), pages 10-19, June.
    12. Ding, Xinpeng & He, Jiayi & Zhang, Yali & Yin, Yi, 2025. "Asymmetric autocorrelation in the crude oil market at multiple scales based on a hybrid approach of variational mode decomposition and quantile autoregression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 660(C).
    13. Mensi, Walid & Hamdi, Atef & Yoon, Seong-Min, 2018. "Modelling multifractality and efficiency of GCC stock markets using the MF-DFA approach: A comparative analysis of global, regional and Islamic markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1107-1116.
    14. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.
    15. Mensi, Walid & Tiwari, Aviral Kumar & Al-Yahyaee, Khamis Hamed, 2019. "An analysis of the weak form efficiency, multifractality and long memory of global, regional and European stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 168-177.
    16. Mensi, Walid & Hamdi, Atef & Shahzad, Syed Jawad Hussain & Shafiullah, Muhammad & Al-Yahyaee, Khamis Hamed, 2018. "Modeling cross-correlations and efficiency of Islamic and conventional banks from Saudi Arabia: Evidence from MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 576-589.
    17. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    18. Chen, Li & Dai, Sijia & Wang, Zhixuan, 2025. "The capital market effects of local government green special Bonds: An examination from the perspective of corporate stock liquidity," International Review of Economics & Finance, Elsevier, vol. 102(C).
    19. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    20. Wei-Guo Zhang & Zhe Li & Yong-Jun Liu & Yue Zhang, 2021. "Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 483-515, August.
    21. Corzo, Teresa & Martin-Bujack, Karin & Portela, Jose & Rodríguez-Gallego, Alejandro, 2025. "Exchange rate regime changes and market efficiency: An event study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 100(C).
    22. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    23. Christophe Musitelli Boya, 2025. "Time-Varying Efficiency and Economic Shocks: A Rolling DFA Test in Western European Stock Markets," IJFS, MDPI, vol. 13(3), pages 1-24, August.

  63. Tabak, Benjamin M. & Fazio, Dimas M. & de O. Paiva, Karine C. & Cajueiro, Daniel O., 2016. "Financial stability and bank supervision," Finance Research Letters, Elsevier, vol. 18(C), pages 322-327.

    Cited by:

    1. Del Gaudio, Belinda L. & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2022. "Misconduct risk in banking services: Does a propensity to be sanctioned exist?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.
    3. Del Gaudio, Belinda L. & Porzio, Claudio & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2021. "How do mobile, internet and ICT diffusion affect the banking industry? An empirical analysis," European Management Journal, Elsevier, vol. 39(3), pages 327-332.
    4. Berlinger, Edina, 2017. "Implicit rating: A potential new method to alert crisis on the interbank lending market," Finance Research Letters, Elsevier, vol. 21(C), pages 277-283.
    5. Spyromitros, Eleftherios & Tsintzos, Panagiotis, 2019. "Credit expansion in a monetary policy game: Implications of the valuation haircut framework," Finance Research Letters, Elsevier, vol. 28(C), pages 125-129.
    6. Yomna Daoud & Aida Kammoun, 2020. "Financial Stability and Bank Capital: The Case of Islamic Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 361-369.
    7. Jakubik, Petr & Moinescu, Bogdan Gabriel, 2025. "Where to draw the line in prudential policy? Insights into banking stability and risk tolerance," Finance Research Letters, Elsevier, vol. 82(C).
    8. Pavel Jankulár, 2024. "Risk-return Portfolio Level Trade-off for Czech Banks," Prague Economic Papers, Prague University of Economics and Business, vol. 2024(2), pages 187-219.
    9. Noman, Abu Hanifa Md. & Gee, Chan Sok & Isa, Che Ruhana, 2018. "Does bank regulation matter on the relationship between competition and financial stability? Evidence from Southeast Asian countries," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 144-161.
    10. Benjamin M Tabak & Dimas M Fazio & Regis A Ely & Joao M. T. Amaral & Daniel O Cajueiro, 2017. "The effects of capital buffers on profitability: An empirical study," Economics Bulletin, AccessEcon, vol. 37(3), pages 1468-1473.
    11. Ely, Regis A. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "The transmission mechanisms of macroprudential policies on bank risk," Economic Modelling, Elsevier, vol. 94(C), pages 598-630.
    12. Nyola, Annick Pamen & Sauviat, Alain & Tarazi, Amine & Danisman, Gamze Ozturk, 2021. "How organizational and geographic complexity influence performance: Evidence from European banks," Journal of Financial Stability, Elsevier, vol. 55(C).
    13. Muhammad Saleem Ashraf & Fiaz Ahmad Sulehri & Momina, 2023. "Impact of Asset Quality on Financial Stability of Islamic Banks in Pakistan: A Moderating Role of Corporate Image," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 268-277.

  64. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda & de Castro Miranda, Rodrigo Cesar, 2016. "Financial networks, bank efficiency and risk-taking," Journal of Financial Stability, Elsevier, vol. 25(C), pages 247-257.
    See citations under working paper version above.
  65. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2016. "Evaluating systemic risk using bank default probabilities in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 66(C), pages 54-75.
    See citations under working paper version above.
  66. Souza, Sergio R.S. & Tabak, Benjamin M. & Silva, Thiago C. & Guerra, Solange M., 2015. "Insolvency and contagion in the Brazilian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 140-151.
    See citations under working paper version above.
  67. Teixeira, Anderson M. & Tabak, Benjamin M. & Cajueiro, Daniel O., 2015. "The 2D:4D ratio and Myopic Loss Aversion (MLA): An experimental investigation," Journal of Behavioral and Experimental Finance, Elsevier, vol. 5(C), pages 81-84.
    See citations under working paper version above.
  68. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    See citations under working paper version above.
  69. Fazio, Dimas M. & Tabak, Benjamin M. & Cajueiro, Daniel O., 2015. "Inflation targeting: Is IT to blame for banking system instability?," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 76-97.

    Cited by:

    1. Uyar, Ali & Wasiuzzaman, Shaista & Kuzey, Cemil & Karaman, Abdullah S., 2022. "Board structure and financial stability of financial firms: Do board policies and CEO duality matter?," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 47(C).
    2. Grégory Levieuge & Yannick Lucotte & Florian Pradines-Jobet, 2019. "The Cost of Banking Crises: Does the Policy Framework Matter?," Working papers 712, Banque de France.
    3. Christophe Blot & Jérôme Creel & Xavier Ragot, 2015. "Flexible inflation targeting vs nominal GDP targeting in the euro area," Sciences Po Economics Publications (main) hal-03429880, HAL.
    4. Yujing Gong & Kung-Cheng Ho, 2018. "Does corporate social responsibility matter for corporate stability? Evidence from China," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2291-2319, September.
    5. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.
    6. Levieuge, G. & Lucotte, Y. & Pradines-Jobet, F., 2019. "Central banks’ preferences and banking sector vulnerability," Journal of Financial Stability, Elsevier, vol. 40(C), pages 110-131.
    7. Musa, Umar & Jun, Wen, 2020. "Does inflation targeting cause financial instability?: An empirical test of paradox of credibility hypothesis," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    8. Ben Bouheni, Faten & Hasnaoui, Amir, 2017. "Cyclical behavior of the financial stability of eurozone commercial banks," Economic Modelling, Elsevier, vol. 67(C), pages 392-408.
    9. Mutarindwa, Samuel & Schäfer, Dorothea & Stephan, Andreas, 2020. "Central banks' supervisory guidance on corporate governance and bank stability: Evidence from African countries," Emerging Markets Review, Elsevier, vol. 43(C).
    10. Spyromitros, Eleftherios & Tsintzos, Panagiotis, 2019. "Credit expansion in a monetary policy game: Implications of the valuation haircut framework," Finance Research Letters, Elsevier, vol. 28(C), pages 125-129.
    11. Ghosh, Taniya & Ajit, Yadavindu, 2025. "Does inflation targeting live up to all the hype?," Emerging Markets Review, Elsevier, vol. 69(C).
    12. Costas Milas & Theologos Dergiades & Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "An Assessment of Inflation Targeting," Discussion Paper Series 2024_05, Department of Economics, University of Macedonia, revised May 2024.
    13. de Moraes, Claudio Oliveira & Costa, Ágata, 2023. "Credit behavior and financial stability in an emerging economy," Economic Systems, Elsevier, vol. 47(2).
    14. Salma Louati & Younes Boujelbene, 2020. "Inflation targeting and bank risk: The interacting effect of institutional quality," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1847889-184, January.
    15. Adel Bogari, 2020. "Revisiting the Nexus Between Inflation Targeting and the Build-Up of the Financial Imbalances," Applied Economics and Finance, Redfame publishing, vol. 7(2), pages 85-95, March.
    16. Mbassi, Christophe Martial & Samba, Cyrille Michel & Elomo Zogo, Thérèse, 2025. "Does monetary policy fuel energy consumption across the world? Focus on inflation targeting," Energy Economics, Elsevier, vol. 145(C).
    17. Nautz, Dieter & Pagenhardt, Laura & Strohsal, Till, 2017. "The (de-)anchoring of inflation expectations: New evidence from the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 103-115.
    18. Fouda Owoundi, Jean-Pierre & Mbassi, Christophe Martial & Owoundi, Ferdinand, 2021. "Does inflation targeting weaken financial stability? Assessing the role of institutional quality," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 374-398.
    19. Adina Ionela Străchinaru & Bogdan Andrei Dumitrescu, 2019. "Assessing the Sustainability of Inflation Targeting: Evidence from EU Countries with Non-EURO Currencies," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    20. Ely, Regis A. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "The transmission mechanisms of macroprudential policies on bank risk," Economic Modelling, Elsevier, vol. 94(C), pages 598-630.
    21. Geoffrey R. Dunbar & Amy (Qijia) Li, 2019. "The Effects of Inflation Targeting for Financial Development," Staff Analytical Notes 2019-21, Bank of Canada.
    22. Ernaningsih, Indria & Smaoui, Houcem & Temimi, Akram, 2023. "The effect of capitalization on the competition-stability Nexus: Evidence from dual banking systems," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    23. Ho, Kung-Cheng & Lee, Shih-Cheng & Chen, Jiun-Lin, 2022. "Book-to-market equity and asset correlations—An international study," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 258-274.
    24. McCloud, Nadine, 2024. "What has inflation targeting done for household consumption?," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    25. Tabak, Benjamin M. & Fazio, Dimas M. & de O. Paiva, Karine C. & Cajueiro, Daniel O., 2016. "Financial stability and bank supervision," Finance Research Letters, Elsevier, vol. 18(C), pages 322-327.
    26. Qin, Xueming & Peng, Gangdong & Zhao, Mengxiang, 2025. "Effects of inflation and macroprudential policies on bank risk: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 97(C).
    27. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    28. Huang, Hung-Yi, 2025. "How do credit default swap spreads react to languages?," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
    29. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    30. Adachi-Sato, Meg & Vithessonthi, Chaiporn, 2021. "Bank risk-taking and corporate investment: Evidence from the Global Financial Crisis of 2007–2009," Global Finance Journal, Elsevier, vol. 49(C).
    31. Fărcaș, Ioana Georgiana & Nistor, Simona, 2023. "The impact of culture on government interventions in the banking sector," Economic Modelling, Elsevier, vol. 129(C).

  70. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.

    Cited by:

    1. Charfeddine, Lanouar & Khediri, Karim Ben, 2016. "Time varying market efficiency of the GCC stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 487-504.
    2. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    3. Hasan, Rashid & Mohammed Salim, M., 2017. "Power law cross-correlations between price change and volume change of Indian stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 620-631.
    4. Gök, Remzi & Hammoudeh, Shawkat & Ajmi, Ahdi Noomen, 2025. "Who’s more efficient and drives others? Profit sharing rates vs. deposit rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 99(C).
    5. Paulo Ferreira, 2020. "Dynamic long-range dependences in the Swiss stock market," Empirical Economics, Springer, vol. 58(4), pages 1541-1573, April.
    6. Emrah Oral & Gazanfer Unal, 2019. "Modeling and forecasting time series of precious metals: a new approach to multifractal data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-28, December.
    7. Christina Vadasi & Michalis Bekiaris & Andreas Andrikopoulos, 2021. "Internal Audit Function Quality and Corporate Governance: The Case of Greece," Multinational Finance Journal, Multinational Finance Journal, vol. 25(1-2), pages 1-61, March - J.
    8. Aloui, Chaker & Hkiri, Besma & Lau, Marco Chi Keung & Yarovaya, Larisa, 2018. "Information transmission across stock indices and stock index futures: International evidence using wavelet framework," Research in International Business and Finance, Elsevier, vol. 44(C), pages 411-421.
    9. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    10. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    11. Gilbert V. Nartea & Harold Glenn A. Valera & Maria Luisa G. Valera, 2019. "Mean Reversion in Asia-Pacific Stock Prices: New Evidence from Quantile Unit Root Tests," Working Papers in Economics 19/16, University of Canterbury, Department of Economics and Finance.
    12. Karasiński Jacek, 2023. "The adaptive market hypothesis and the return predictability in the cryptocurrency markets," Economics and Business Review, Sciendo, vol. 9(1), pages 94-118, April.
    13. Lee, Min-Jae & Choi, Sun-Yong, 2024. "Insights into the dynamics of market efficiency spillover of financial assets in different equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    14. Mensi, Walid & Tiwari, Aviral Kumar & Al-Yahyaee, Khamis Hamed, 2019. "An analysis of the weak form efficiency, multifractality and long memory of global, regional and European stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 168-177.
    15. Adra, Samer & Barbopoulos, Leonidas G., 2020. "Do corporations learn from mispricing? Evidence from takeovers and corporate performance," International Review of Financial Analysis, Elsevier, vol. 68(C).
    16. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    17. Anagnostidis, P. & Varsakelis, C. & Emmanouilides, C.J., 2016. "Has the 2008 financial crisis affected stock market efficiency? The case of Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 116-128.
    18. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    19. Kargin, Sinem & Lamey, Lien, 2025. "The impact of a flagship store opening on firm value: evidence from an event study," Journal of Business Research, Elsevier, vol. 199(C).
    20. Jacek Karasinski, 2022. "The Impact of the COVID-19 Outbreak on the Weak-Form Informational Efficiency of the Warsaw Stock Exchange (Wplyw wybuchu epidemii COVID-19 na efektywnosc informacyjna Gieldy Papierow Wartosciowych w Warszawie w formie slabej)," Research Reports, University of Warsaw, Faculty of Management, vol. 2(37), pages 15-28.
    21. Zhang, Yali & Wang, Jun, 2017. "Nonlinear complexity of random visibility graph and Lempel-Ziv on multitype range-intensity interacting financial dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 741-756.
    22. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    23. Wei-Guo Zhang & Zhe Li & Yong-Jun Liu & Yue Zhang, 2021. "Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 483-515, August.
    24. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    25. Korotin, Vladimir & Dolgonosov, Maxim & Popov, Victor & Korotina, Olesya & Korolkova, Inna, 2019. "The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 156-168.
    26. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    27. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).

  71. Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014. "Directed clustering coefficient as a measure of systemic risk in complex banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 211-216.
    See citations under working paper version above.
  72. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    See citations under working paper version above.
  73. Glener de Almeida Dourado & Benjamin Miranda Tabak, 2014. "Testing the Adaptive Markets Hypothesis for Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(4), pages 517-553.

    Cited by:

    1. Kulikova, Maria V. & Taylor, David R. & Kulikov, Gennady Yu., 2024. "Evolving efficiency of the BRICS markets," Economic Systems, Elsevier, vol. 48(1).

  74. Tabak, Benjamin Miranda, 2013. "Financial Stability and Monetary Policy - The case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    See citations under working paper version above.
  75. Benjamin Tabak & Daniel Cajueiro & Dimas Fazio, 2013. "Financial fragility in a general equilibrium model: the Brazilian case," Annals of Finance, Springer, vol. 9(3), pages 519-541, August.
    See citations under working paper version above.
  76. Guilherme Resende Oliveira & Benjamin Miranda Tabak, 2013. "Determinants of the level of indebtedness for Brazilian firms: A quantile regression approach," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 14(3–4), pages 123-138.

    Cited by:

    1. Fattouh, Bassam & Pisicoli, Beniamino & Scaramozzino, Pasquale, 2024. "Debt and financial fragility: Italian non-financial companies after the pandemic," Economic Modelling, Elsevier, vol. 131(C).
    2. Adriana Bruscato Bortoluzzo & Rodrigo Ricardo Ciganda & Mauricio Mesquita Bortoluzzo, 2024. "Determinant factors of banking profitability: an application of quantile regression for panel data," Future Business Journal, Springer, vol. 10(1), pages 1-10, December.
    3. Moeti Damane & Sin Yu Ho, 2026. "Effects of financial inclusion on financial stability: evidence from SSA countries," International Economics and Economic Policy, Springer, vol. 23(2), pages 1-27, May.
    4. M. Anselme Hounnou & Mouhamed El Bachir Wade & Patrice Aimé Agossou, 2023. "Analyse des déterminants du recours à l'ingénierie financière par les entreprises non financières cotées à la Bourse Régionale des Valeurs Mobilières," Post-Print hal-04990519, HAL.
    5. Mudeer A. Khattak & Buerhan Saiti & Shabeer Khan, 2023. "Does market power explain margins in dual banking? Evidence from panel quantile regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1826-1844, April.
    6. Mari-Isabella Stan & Dragos-Florian Vintila, 2021. "Can the Degree of Indebtedness of the Economic Agents Operating in the Construction Sector in Constanta County Influence the Development of the Coastal Area ?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 163-170, August.

  77. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2013. "Systemically important banks and financial stability: The case of Latin America," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3855-3866.

    Cited by:

    1. Patra, Saswat & Malik, Kunjana, 2025. "Return and volatility connectedness among US and Latin American markets: A QVAR approach with implications for hedging and portfolio diversification," Global Finance Journal, Elsevier, vol. 65(C).
    2. Tammuz Alraheb & Amine Tarazi, 2016. "Local Versus International Crises, Foreign Subsidiaries and Bank Stability: Evidence from the MENA Region," Working Papers hal-01270806, HAL.
    3. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    4. Katherin Carrera-Silva & Olga Maritza Rodríguez Ulcuango & Paula Abdo-Peralta & Ángel Gerardo Castelo Salazar & Carmen Amelia Samaniego Erazo & Diego Haro Ávalos, 2024. "Beyond the Financial Horizon: A Critical Review of Social Responsibility in Latin American Credit Unions," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    5. Juan Carlos CUESTAS & Yannick LUCOTTE & Nicolas REIGL, 2019. "Banking sector concentration, competition and financial stability: the case of the Baltic countries," LEO Working Papers / DR LEO 2731, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    6. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    7. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    8. Carvallo, Oscar & Kasman, Adnan, 2017. "Convergence in bank performance: Evidence from Latin American banking," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 127-142.
    9. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    10. Shailesh Rastogi & Arpita Sharma & Geetanjali Pinto & Venkata Mrudula Bhimavarapu, 2022. "A literature review of risk, regulation, and profitability of banks using a scientometric study," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    11. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    12. de Mendonça, Helder Ferreira & Silva, Rafael Bernardo da, 2018. "Effect of banking and macroeconomic variables on systemic risk: An application of ΔCOVAR for an emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 141-157.
    13. Theresa Schäfer & Sebastian Utz, 2022. "Values-Based and Global Systemically Important Banks: Their Stability and the Impact of Regulatory Changes After the Financial Crisis on it," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(1), pages 5-32, March.
    14. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    15. Souza, Sergio R.S. & Tabak, Benjamin M. & Silva, Thiago C. & Guerra, Solange M., 2015. "Insolvency and contagion in the Brazilian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 140-151.
    16. Cao, Qiang & Zhu, Tingting & Yu, Wenmei, 2024. "ESG investment and bank efficiency: Evidence from China," Energy Economics, Elsevier, vol. 133(C).
    17. Olszak, Małgorzata & Świtała, Filip & Kowalska, Iwona, 2013. "Competition in commercial banks in Poland – analysis of Panzar-Rosse H-statistics," MPRA Paper 53782, University Library of Munich, Germany.
    18. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda & de Castro Miranda, Rodrigo Cesar, 2016. "Financial networks, bank efficiency and risk-taking," Journal of Financial Stability, Elsevier, vol. 25(C), pages 247-257.
    19. Siddharth Jain & Partha Gangopadhyay, 2020. "Impacts of Endogenous Sunk-Cost Investment on the Islamic Banking Industry: A Historical Analysis," JRFM, MDPI, vol. 13(6), pages 1-23, May.
    20. Takahashi, Fábio Lucas & Vasconcelos, Marcos Roberto, 2024. "Bank efficiency and undesirable output: An analysis of non-performing loans in the Brazilian banking sector," Finance Research Letters, Elsevier, vol. 59(C).
    21. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021. "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 178-196.
    22. Gómez, Fabiana, 2015. "Failed bank takeovers and financial stability," Journal of Financial Stability, Elsevier, vol. 16(C), pages 45-58.
    23. Jeon, Jin Q. & Lim, Kwang Kyu, 2013. "Bank competition and financial stability: A comparison of commercial banks and mutual savings banks in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 253-272.
    24. Duan, Yuejiao & Fan, Xiaoyun & Wang, Zijun, 2025. "Text readability of regulatory policies and bank profit efficiency," Research in International Business and Finance, Elsevier, vol. 80(C).
    25. Asteriou, Dimitrios & Pilbeam, Keith & Tomuleasa, Iuliana, 2021. "The impact of corruption, economic freedom, regulation and transparency on bank profitability and bank stability: Evidence from the Eurozone area," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 150-177.
    26. Ana Lilia Hernández Pineda & Alí Aali-Bujari, 2022. "¿Impulsan la actividad económica en América Latina el número de sucursales bancarias y cajeros automáticos?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-13, Enero - M.
    27. Huan Yang & Jun Cai & Lin Huang, 2024. "Bank tail risk in China," International Studies of Economics, John Wiley & Sons, vol. 19(2), pages 186-222, June.
    28. Tammuz H. Alraheb & Amine Tarazi, 2018. "Local versus International Crises and Bank Stability: does bank foreign expansion make a difference?," Applied Economics, Taylor & Francis Journals, vol. 50(10), pages 1138-1155, February.
    29. Sarmiento, Miguel & Galán, Jorge E., 2017. "The influence of risk-taking on bank efficiency: Evidence from Colombia," Emerging Markets Review, Elsevier, vol. 32(C), pages 52-73.
    30. Peterson, Ozili K. & Arun, Thankom G., 2018. "Income smoothing among European systemic and non-systemic banks," The British Accounting Review, Elsevier, vol. 50(5), pages 539-558.
    31. C. Spulbăr & M. Niţoi, 2014. "Determinants of bank cost efficiency in transition economies: evidence for Latin America, Central and Eastern Europe and South-East Asia," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1940-1952, June.
    32. He, Chengying & Huang, Ke & Lin, Jianwu & Wang, Tianqi & Zhang, Zuominyang, 2023. "Explain systemic risk of commodity futures market by dynamic network," International Review of Financial Analysis, Elsevier, vol. 88(C).
    33. Duan, Yuejiao & Fan, Xiaoyun & Li, Xinming & Rong, Yuhao & Shi, Benye, 2021. "Do efficient banks create more liquidity: international evidence," Finance Research Letters, Elsevier, vol. 42(C).
    34. Scalco, Paulo R. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "Prudential measures and their adverse effects on bank competition: The case of Brazil," Economic Modelling, Elsevier, vol. 100(C).
    35. Sergio Rubens Stancato de Souza & Thiago Christiano Silva & Benjamin Miranda Tabak & Solange Maria Guerra, 2016. "Evaluating Systemic Risk using Bank Default Probabilities in Financial Networks," Working Papers Series 426, Central Bank of Brazil, Research Department.

  78. Tabak, Benjamin M. & Miranda, Rogério Boueri & Fazio, Dimas M., 2013. "A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3747-3756.
    See citations under working paper version above.
  79. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
    See citations under working paper version above.
  80. Tabak, B.M. & Sollaci, A.B. & Gomes, G.M. & Cajueiro, D.O., 2012. "Forecasting the yield curve for the Euro region," Economics Letters, Elsevier, vol. 117(2), pages 513-516.
    See citations under working paper version above.
  81. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2012. "The relationship between banking market competition and risk-taking: Do size and capitalization matter?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3366-3381.
    See citations under working paper version above.
  82. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    See citations under working paper version above.
  83. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2011. "The effects of loan portfolio concentration on Brazilian banks' return and risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3065-3076, November.
    See citations under working paper version above.
  84. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    See citations under working paper version above.
  85. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.

    Cited by:

    1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
    2. Zunino, Luciano & Ribeiro, Haroldo V., 2016. "Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 679-688.
    3. Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
    4. Fernandes, Leonardo H.S. & Figueirôa, José R.A. & Martins, Caleb M.F. & Martins, Adriel M.F., 2025. "The battle of informational efficiency: Cryptocurrencies vs. classical assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    5. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    6. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    7. Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Libor at crossroads: Stochastic switching detection using information theory quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 172-182.
    8. Aurelio F. Bariviera & M. Bel'en Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "The (in)visible hand in the Libor market: an Information Theory approach," Papers 1508.04748, arXiv.org.
    9. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    10. Aurelio F. Bariviera & Luciano Zunino & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "Efficiency and credit ratings: a permutation-information-theory analysis," Papers 1509.01839, arXiv.org.
    11. Mazzoccoli, Alessandro, 2025. "Assessing time series predictability by extending wavelet energy-based entropy and divergence measures using the Sharma–Mittal framework," Chaos, Solitons & Fractals, Elsevier, vol. 201(P3).
    12. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    13. Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018. "Spurious Seasonality Detection: A Non-Parametric Test Proposal," Econometrics, MDPI, vol. 6(1), pages 1-15, January.
    14. Sensoy, Ahmet & Aras, Guler & Hacihasanoglu, Erk, 2015. "Predictability dynamics of Islamic and conventional equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 222-248.
    15. Aurelio Fernandez Bariviera & M. Bel'en Guercio & Lisana B. Martinez, 2015. "Data manipulation detection via permutation information theory quantifiers," Papers 1501.04123, arXiv.org.
    16. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    17. López Pérez, Mario & Mansilla Corona, Ricardo, 2022. "Ordinal synchronization and typical states in high-frequency digital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    18. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2021. "Insights from the (in)efficiency of Chinese sectoral indices during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    19. Krzysztof Borowski & Malgorzata Lukasik, 2015. "Analysis of Selected Seasonality Effects in the Following Agricultural Markets: Corn, Wheat, Coffee, Cocoa, Sugar, Cotton and Soybeans," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(2), pages 12-37.
    20. Dias, João, 2013. "Spanning trees and the Eurozone crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5974-5984.
    21. Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2017. "Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers," Papers 1704.04442, arXiv.org.
    22. Lima, Cristiane Rocha Albuquerque & de Melo, Gabriel Rivas & Stosic, Borko & Stosic, Tatijana, 2019. "Cross-correlations between Brazilian biofuel and food market: Ethanol versus sugar," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 687-693.
    23. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    24. George P. Papaioannou & Christos Dikaiakos & Akylas C. Stratigakos & Panos C. Papageorgiou & Konstantinos F. Krommydas, 2019. "Testing the Efficiency of Electricity Markets Using a New Composite Measure Based on Nonlinear TS Tools," Energies, MDPI, vol. 12(4), pages 1-30, February.
    25. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Exploring disorder and complexity in the cryptocurrency space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 548-556.
    26. Mastroeni, Loretta & Mazzoccoli, Alessandro & Quaresima, Greta, 2025. "Effects of the climate-related sentiment on agricultural spot prices: Insights from Wavelet Rényi Entropy analysis," Energy Economics, Elsevier, vol. 142(C).
    27. Brouty, Xavier & Garcin, Matthieu, 2024. "Fractal properties, information theory, and market efficiency," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    28. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    29. Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2018. "An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers," Papers 1808.01926, arXiv.org.
    30. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    31. Mario L'opez P'erez & Ricardo Mansilla, 2021. "Ordinal Synchronization and Typical States in High-Frequency Digital Markets," Papers 2110.07047, arXiv.org, revised Mar 2022.
    32. Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
    33. Zunino, Luciano & Fernández Bariviera, Aurelio & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2012. "On the efficiency of sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4342-4349.
    34. Giri, Ritik Roshan & Kayal, Suchandan & Contreras-Reyes, Javier E., 2025. "Permutation extropy: A new time series complexity measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 678(C).
    35. Albarracín E., Eva Susana & Gamboa, Juan C. Rodríguez & Marques, Elaine C.M. & Stosic, Tatijana, 2019. "Complexity analysis of Brazilian agriculture and energy market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 933-941.
    36. Dai, Yimei & Zhang, Hesheng & Mao, Xuegeng & Shang, Pengjian, 2018. "Complexity–entropy causality plane based on power spectral entropy for complex time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 501-514.

  86. B. M. Tabak & T. R. Serra & D. O. Cajueiro, 2010. "Topological properties of commodities networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 74(2), pages 243-249, March.

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    1. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Wiliński, M. & Sienkiewicz, A. & Gubiec, T. & Kutner, R. & Struzik, Z.R., 2013. "Structural and topological phase transitions on the German Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5963-5973.
    3. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2012. "Stock market networks: The dynamic conditional correlation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4147-4158.
    4. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    5. A. Sienkiewicz & T. Gubiec & R. Kutner & Z. R. Struzik, 2013. "Dynamic structural and topological phase transitions on the Warsaw Stock Exchange: A phenomenological approach," Papers 1301.6506, arXiv.org.
    6. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    7. Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
    8. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    9. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, "undated". "Relationship Between Prices of Food, Fuel and Biofuel," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135793, European Association of Agricultural Economists.
    10. Deviren, Seyma Akkaya & Deviren, Bayram, 2016. "The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 429-439.
    11. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "The effect of interconnectivity on stock returns during the Global Financial Crisis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    12. Nobi, Ashadun & Alam, Shafiqul & Lee, Jae Woo, 2017. "Dynamic of consumer groups and response of commodity markets by principal component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 337-344.
    13. Zhang, Xin & Podobnik, Boris & Kenett, Dror Y. & Eugene Stanley, H., 2014. "Systemic risk and causality dynamics of the world international shipping market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 43-53.
    14. Benjamin Miranda Tabak & Thiago Christiano Silva & Ahmet Sensoy, 2019. "Financial Networks 2019," Complexity, Hindawi, vol. 2019, pages 1-2, December.
    15. Cerqueti, Roy & Mattera, Raffaele & Storani, Saverio, 2025. "Systemic resilience of networked commodities," Energy Economics, Elsevier, vol. 143(C).
    16. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    17. Lima, Cristiane Rocha Albuquerque & de Melo, Gabriel Rivas & Stosic, Borko & Stosic, Tatijana, 2019. "Cross-correlations between Brazilian biofuel and food market: Ethanol versus sugar," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 687-693.
    18. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective," Energy Economics, Elsevier, vol. 34(5), pages 1380-1391.
    19. Jain, Prachi & Maitra, Debasish, 2023. "Risk implications of dependence in the commodities: A copula-based analysis," Global Finance Journal, Elsevier, vol. 57(C).
    20. Paulus, Michal & Kristoufek, Ladislav, 2015. "Worldwide clustering of the corruption perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 351-358.
    21. Roy Cerqueti & Raffaele Mattera & Saverio Storani, 2025. "Systemic resilience of networked commodities," Post-Print hal-05109120, HAL.
    22. M. Wili'nski & A. Sienkiewicz & T. Gubiec & R. Kutner & Z. R. Struzik, 2013. "Structural and topological phase transitions on the German Stock Exchange," Papers 1301.2530, arXiv.org, revised Jul 2013.
    23. Sun, Qingru & Gao, Xiangyun & Wen, Shaobo & Chen, Zhihua & Hao, Xiaoqing, 2018. "The transmission of fluctuation among price indices based on Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 36-49.
    24. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    25. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    26. Ladislav Kristoufek & Karel Janda & David Zilberman, 2012. "Regime-Dependent Topological Properties of Biofuels Networks," CAMA Working Papers 2012-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    27. Cerqueti, Roy & Ficcadenti, Valerio & Mattera, Raffaele, 2024. "Investors’ attention and network spillover for commodity market forecasting," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    28. Albarracín E., Eva Susana & Gamboa, Juan C. Rodríguez & Marques, Elaine C.M. & Stosic, Tatijana, 2019. "Complexity analysis of Brazilian agriculture and energy market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 933-941.

  87. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2010. "Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1891-1901.

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    1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
    3. Alvarez-Ramirez, Jose & Rodriguez, Eduardo, 2021. "A singular value decomposition entropy approach for testing stock market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    4. Zunino, Luciano & Ribeiro, Haroldo V., 2016. "Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 679-688.
    5. Rosso, Osvaldo A. & Carpi, Laura C. & Saco, Patricia M. & Gómez Ravetti, Martín & Plastino, Angelo & Larrondo, Hilda A., 2012. "Causality and the entropy–complexity plane: Robustness and missing ordinal patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 42-55.
    6. Matilla-García, Mariano & Marín, Manuel Ruiz & Dore, Mohammed I., 2014. "A permutation entropy based test for causality: The volume–stock price relation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 280-288.
    7. Fernandes, Leonardo H.S. & Figueirôa, José R.A. & Martins, Caleb M.F. & Martins, Adriel M.F., 2025. "The battle of informational efficiency: Cryptocurrencies vs. classical assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
    8. Erveton P. Pinto & Marcelo A. Pires & Rone N. da Silva & S'ilvio M. Duarte Queir'os, 2025. "Cryptocurrency Time Series on the Binary Complexity-Entropy Plane: Ranking Efficiency from the Perspective of Complex Systems," Papers 2504.01974, arXiv.org.
    9. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    10. Yang, Yujun & Li, Jianping & Yang, Yimei, 2017. "The cross-correlation analysis of multi property of stock markets based on MM-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 23-33.
    11. Jiang, Jiaqi & Gu, Rongbao, 2016. "Using Rényi parameter to improve the predictive power of singular value decomposition entropy on stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 254-264.
    12. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    13. Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Libor at crossroads: Stochastic switching detection using information theory quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 172-182.
    14. Rosso, Osvaldo A. & De Micco, Luciana & Plastino, A. & Larrondo, Hilda A., 2010. "Info-quantifiers’ map-characterization revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4604-4612.
    15. Zhang, Boyi & Shang, Pengjian & Zhou, Qin, 2021. "The identification of fractional order systems by multiscale multivariate analysis," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    16. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    17. Aurelio F. Bariviera & M. Bel'en Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "The (in)visible hand in the Libor market: an Information Theory approach," Papers 1508.04748, arXiv.org.
    18. Aurelio F. Bariviera & Luciano Zunino & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "Efficiency and credit ratings: a permutation-information-theory analysis," Papers 1509.01839, arXiv.org.
    19. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    20. Stosic, Dusan & Stosic, Darko & de Mattos Neto, Paulo S.G. & Stosic, Tatijana, 2019. "Multifractal characterization of Brazilian market sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 956-964.
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    22. Luiz G. A. Alves & Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2020. "Collective dynamics of stock market efficiency," Papers 2011.14809, arXiv.org.
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    26. Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018. "Spurious Seasonality Detection: A Non-Parametric Test Proposal," Econometrics, MDPI, vol. 6(1), pages 1-15, January.
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    29. Eduarda T. C. Chagas & Marcelo Queiroz‐Oliveira & Osvaldo A. Rosso & Heitor S. Ramos & Cristopher G. S. Freitas & Alejandro C. Frery, 2022. "White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane," International Statistical Review, International Statistical Institute, vol. 90(2), pages 374-396, August.
    30. Miguel Ángel Sánchez & Juan E Trinidad & José García & Manuel Fernández, 2015. "The Effect of the Underlying Distribution in Hurst Exponent Estimation," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
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    35. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    36. De Micco, Luciana & Fernández, Juana Graciela & Larrondo, Hilda A. & Plastino, Angelo & Rosso, Osvaldo A., 2012. "Sampling period, statistical complexity, and chaotic attractors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2564-2575.
    37. Emanuele Citera & Francesco De Pretis, 2026. "Analyzing financial markets dynamics: a statistical equilibrium framework for stocks and cryptocurrencies," Annals of Operations Research, Springer, vol. 357(1), pages 11-43, February.
    38. Wang, Shujia & Yang, Zhuojin & Zheng, Xin & Ma, Zhuang, 2024. "Analysis of complex time series based on EEMD energy entropy plane," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    39. Argyroudis, George S. & Siokis, Fotios M., 2019. "Spillover effects of Great Recession on Hong-Kong’s Real Estate Market: An analysis based on Causality Plane and Tsallis Curves of Complexity–Entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 576-586.
    40. López Pérez, Mario & Mansilla Corona, Ricardo, 2022. "Ordinal synchronization and typical states in high-frequency digital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    41. Trindade, Marco A.S. & Floquet, Sergio & Filho, Lourival M. Silva, 2020. "Portfolio theory, information theory and Tsallis statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    42. Andres M. Kowalski & Mariela Portesi & Victoria Vampa & Marcelo Losada & Federico Holik, 2022. "Entropy-Based Informational Study of the COVID-19 Series of Data," Mathematics, MDPI, vol. 10(23), pages 1-16, December.
    43. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M. & Neto, Jusie S.P., 2021. "Macroeconophysics indicator of economic efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    44. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2021. "Insights from the (in)efficiency of Chinese sectoral indices during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    45. Yonatan Berman & Yoash Shapira & Eshel Ben-Jacob, 2014. "Unraveling Hidden Order in the Dynamics of Developed and Emerging Markets," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
    46. Dias, João, 2013. "Spanning trees and the Eurozone crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5974-5984.
    47. Wang, Zhuo & Shang, Pengjian, 2021. "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    48. Pinto, Erveton P. & Pires, Marcelo A. & da Silva, Rone N. & Duarte Queirós, Sílvio M., 2025. "Cryptocurrency time series on the Binary Complexity-Entropy Plane: Ranking efficiency from the perspective of complex systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
    49. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    50. Sánchez-Granero, M.A. & Balladares, K.A. & Ramos-Requena, J.P. & Trinidad-Segovia, J.E., 2020. "Testing the efficient market hypothesis in Latin American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    51. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Exploring disorder and complexity in the cryptocurrency space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 548-556.
    52. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    53. Bui, Huy Quoc & Schinckus, Christophe & Al-Jaifi, Hamdan & Lim, Boon-Keong, 2025. "Spontaneous order in cryptocurrency markets: Crash dynamics and complexity–entropy causality plane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 680(C).
    54. Chatterjee, Soumya & Mukherjee, Indranil & Barat, P., 2018. "Analysis of the behaviour of the detrended BSE sensex data," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 186-196.
    55. Siokis, Fotios M., 2018. "Credit market Jitters in the course of the financial crisis: A permutation entropy approach in measuring informational efficiency in financial assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 266-275.
    56. Kostanjcar, Zvonko & Jeren, Branko & Juretic, Zeljan, 2012. "Impact of uncertainty in expected return estimation on stock price volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5563-5571.
    57. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    58. José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Ángel Sánchez-Granero, 2020. "Some Notes on the Formation of a Pair in Pairs Trading," Mathematics, MDPI, vol. 8(3), pages 1-17, March.
    59. Claudiu Vinte & Ion Smeureanu & Titus-Felix Furtuna & Marcel Ausloos, 2022. "An Intrinsic Entropy Model for Exchange-Traded Securities," Papers 2205.01386, arXiv.org.
    60. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    61. Silva, Antonio Samuel Alves & Menezes, Rômulo Simões Cezar & Rosso, Osvaldo A. & Stosic, Borko & Stosic, Tatijana, 2021. "Complexity entropy-analysis of monthly rainfall time series in northeastern Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    62. Chen, Shijian & Shang, Pengjian & Wu, Yue, 2019. "Multivariate multiscale fractional order weighted permutation entropy of nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 217-231.
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    65. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    66. Mario L'opez P'erez & Ricardo Mansilla, 2021. "Ordinal Synchronization and Typical States in High-Frequency Digital Markets," Papers 2110.07047, arXiv.org, revised Mar 2022.
    67. Stosic, Dusan & Stosic, Darko & Stosic, Tatijana, 2019. "Nonextensive triplets in stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 192-198.
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  88. Cajueiro, Daniel O. & Tabak, Benjamin M., 2010. "Fluctuation dynamics in US interest rates and the role of monetary policy," Finance Research Letters, Elsevier, vol. 7(3), pages 163-169, September.
    See citations under working paper version above.
  89. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    See citations under working paper version above.
  90. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    See citations under working paper version above.
  91. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.

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    1. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    2. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    3. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    4. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    5. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    6. Hou, Xiaohui & Wang, Qing & Li, Cheng, 2015. "Role of off-balance sheet operations on bank scale economies: Evidence from China's banking sector," Emerging Markets Review, Elsevier, vol. 22(C), pages 140-153.
    7. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    8. Miguel Sarmiento & Jorge E. Galán, 2015. "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," Borradores de Economia 894, Banco de la Republica de Colombia.
    9. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    10. Mostak Ahamed, M., 2017. "Asset quality, non-interest income, and bank profitability: Evidence from Indian banks," Economic Modelling, Elsevier, vol. 63(C), pages 1-14.
    11. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    12. Ahmad, Wasim & Tiwari, Shiv Ratan & Wadhwani, Akshay & Khan, Mohammad Azeem & Bekiros, Stelios, 2023. "Financial networks and systemic risk vulnerabilities: A tale of Indian banks," Research in International Business and Finance, Elsevier, vol. 65(C).
    13. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    14. Sushanta Mallick & Aarti Rughoo & Nickolaos G. Tzeremes & Wei Xu, 2020. "Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 217-237, June.

  92. Jose Luiz Barros Fernandes & Juan Ignacio Pena & Benjamin Miranda Tabak, 2010. "Behaviour finance and estimation risk in stochastic portfolio optimization," Applied Financial Economics, Taylor & Francis Journals, vol. 20(9), pages 719-738.
    See citations under working paper version above.
  93. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2010. "Topological properties of stock market networks: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3240-3249.

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    2. Gerson N. Cardoso & Geraldo E. Silva, 2024. "Electoral influences on the Brazilian B3 data correlation network," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 251-272, January.
    3. Binghui Li & Yuehan Yang, 2022. "Undirected and Directed Network Analysis of the Chinese Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 1155-1173, October.
    4. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    5. Le, Chau & Dickinson, David & Le, Anh, 2022. "Sovereign risk spillovers: A network approach," Journal of Financial Stability, Elsevier, vol. 60(C).
    6. Luciano Rossoni & Cezar Eduardo Aranha & Wesley Mendes-Da-Silva, 2018. "The Complexity of Social Capital: The Influence of Board and Ownership Interlocks on Implied Cost of Capital in an Emerging Market," Complexity, Hindawi, vol. 2018, pages 1-12, February.
    7. Výrost, Tomáš, 2012. "Country effects in CEE3 stock market networks: a preliminary study," MPRA Paper 43481, University Library of Munich, Germany.
    8. Park, Sangjin & Jang, Kwahngsoo & Yang, Jae-Suk, 2021. "Information flow between bitcoin and other financial assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    9. de Pontes, Lucca Siebra & Rêgo, Leandro Chaves, 2022. "Impact of macroeconomic variables on the topological structure of the Brazilian stock market: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    10. Gogas, Periklis & Papadimitriou, Theophilos & Matthaiou, Maria-Artemis, 2016. "Bank supervision using the Threshold-Minimum Dominating Set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 23-35.
    11. Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
    12. Djauhari, Maman Abdurachman & Gan, Siew Lee, 2013. "Minimal spanning tree problem in stock networks analysis: An efficient algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2226-2234.
    13. Kim, Kyungwon & Jung, Sean S., 2014. "Empirical analysis of structural change in Credit Default Swap volatility," Chaos, Solitons & Fractals, Elsevier, vol. 60(C), pages 56-67.
    14. Bhattacharjee, Biplab & Kumar, Rajiv & Senthilkumar, Arunachalam, 2022. "Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks," International Review of Financial Analysis, Elsevier, vol. 84(C).
    15. Li, Jianxuan & Shi, Yingying & Cao, Guangxi, 2018. "Topology structure based on detrended cross-correlation coefficient of exchange rate network of the belt and road countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1140-1151.
    16. Kartikay Gupta & Niladri Chatterjee, 2020. "Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds," Papers 2004.10560, arXiv.org, revised May 2020.
    17. Xi, Xian & An, Haizhong, 2018. "Research on energy stock market associated network structure based on financial indicators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1309-1323.
    18. Kalyagin, V. & Koldanov, A. & Koldanov, P. & Pardalos, P., 2017. "Statistical Procedures for Stock Markets Network Structures Identification," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 33-52.
    19. Yong Tang & Jason Jie Xiong & Zi-Yang Jia & Yi-Cheng Zhang, 2018. "Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets," Complexity, Hindawi, vol. 2018, pages 1-31, November.
    20. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    21. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
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    41. Gang-Jin Wang & Chi Xie & Shou Chen, 2017. "Multiscale correlation networks analysis of the US stock market: a wavelet analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 561-594, October.
    42. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
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    46. Chen, Kun & Luo, Peng & Sun, Bianxia & Wang, Huaiqing, 2015. "Which stocks are profitable? A network method to investigate the effects of network structure on stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 224-235.
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    50. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
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    2. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "Profit, Cost and Scale Efficiency for Latin American Banks: Concentration-Performance Relationship," Working Papers Series 244, Central Bank of Brazil, Research Department.
    3. Amir Jahan Khan, 2020. "Competitive Structure and Bank Loan Rate in Pakistan’s Banking Industry," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 59(3), pages 377-398.
    4. Schneider, Andreas, 2020. "Credit cooperatives: Market structure, competition, and conduct. Exploring the case of Paraguay," MPRA Paper 102309, University Library of Munich, Germany.
    5. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2013. "Systemically important banks and financial stability: The case of Latin America," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3855-3866.

  95. Tabak, B.M. & Takami, M.Y. & Cajueiro, D.O. & Petitinga, A., 2009. "Quantifying price fluctuations in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(1), pages 59-62.

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    2. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    3. da Silva, Roberto & Zembrzuski, Marcelo & Correa, Fabio C. & Lamb, Luis C., 2010. "Stock markets and criticality in the current economic crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5460-5467.
    4. Gu, Gao-Feng & Xiong, Xiong & Zhang, Yong-Jie & Chen, Wei & Zhang, Wei & Zhou, Wei-Xing, 2016. "Stylized facts of price gaps in limit order books," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 48-58.
    5. Gao-Feng Gu & Xiong Xiong & Yong-Jie Zhang & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Stylized facts of price gaps in limit order books: Evidence from Chinese stocks," Papers 1405.1247, arXiv.org.
    6. Sosa-Correa, William O. & Ramos, Antônio M.T. & Vasconcelos, Giovani L., 2018. "Investigation of non-Gaussian effects in the Brazilian option market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 525-539.

  96. Eduardo Lima & Benjamin Tabak, 2009. "Tests of Random Walk: A Comparison of Bootstrap Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 365-382, November.

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    2. P. Luizi & F. Cruz & J. Graaf, 2010. "Assessing the Quality of Pseudo-Random Number Generators," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 57-67, June.

  97. Cajueiro, Daniel O. & Gogas, Periklis & Tabak, Benjamin M., 2009. "Does financial market liberalization increase the degree of market efficiency? The case of the Athens stock exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 50-57, March.

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    1. Christian Rudolf RICHTER & Bachar FAKHRY, 2016. "Testing the Efficiency of the GIPS Sovereign Debt Markets using an Asymmetrical Volatility Test," Journal of Economics and Political Economy, EconSciences Journals, vol. 3(3), pages 524-535, September.
    2. Nawaz, Nasreen, 2019. "Efficiency on the Dynamic Adjustment Path in a Financial Market," MPRA Paper 118271, University Library of Munich, Germany, revised 04 Jun 2020.
    3. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    4. Nafis Alam & Shaista Arshad & Syed Aun R. Rizvi, 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 108-114, November.
    5. Zhu, Chaowei & Zhang, Fan & Zhang, Yuling, 2023. "Revisiting financial opening and financial development: A regulation heterogeneity perspective," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 181-197.
    6. Diniz-Maganini, Natalia & Diniz, Eduardo H. & Rasheed, Abdul A., 2021. "Bitcoin’s price efficiency and safe haven properties during the COVID-19 pandemic: A comparison," Research in International Business and Finance, Elsevier, vol. 58(C).
    7. da Silva Filho, Antônio Carlos & Maganini, Natália Diniz & de Almeida, Eduardo Fonseca, 2018. "Multifractal analysis of Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 954-967.
    8. Lamia SEBAI, 2022. "Integration and efficiency for local and regional equity markets during the financial crisis," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 43-61, June.
    9. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    10. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    11. Aurelio F. Bariviera, 2020. "One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles," Papers 2003.09720, arXiv.org, revised Jun 2020.
    12. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2018. "A tripartite inquiry into volatility-efficiency-integration nexus - case of emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 143-161.
    13. Bariviera, Aurelio F., 2017. "The inefficiency of Bitcoin revisited: A dynamic approach," Economics Letters, Elsevier, vol. 161(C), pages 1-4.
    14. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    15. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    16. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    17. Jin, Xiaoye, 2016. "The impact of 2008 financial crisis on the efficiency and contagion of Asian stock markets: A Hurst exponent approach," Finance Research Letters, Elsevier, vol. 17(C), pages 167-175.
    18. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    19. Christian Rudolf RICHTER & Bachar FAKHRY, 2016. "Testing the Efficiency of the GIPS Sovereign Debt Markets using an Asymmetrical Volatility Test," Journal of Economics and Political Economy, KSP Journals, vol. 3(3), pages 524-535, September.
    20. Wang, Yudong & Liu, Li & Gu, Rongbao & Cao, Jianjun & Wang, Haiyan, 2010. "Analysis of market efficiency for the Shanghai stock market over time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1635-1642.
    21. Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Espinosa-Paredes, Gilberto, 2012. "Is the US stock market becoming weakly efficient over time? Evidence from 80-year-long data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5643-5647.
    22. Syed Moudud-Ul-Huq & Md. Shahriar Rahman, 2025. "Stock Market Efficiency of the BRICS Countries Pre-, During, and Post Covid-19 Pandemic: A Multifractal Detrended Fluctuation Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1643-1705, March.
    23. Stosic, Dusan & Stosic, Darko & de Mattos Neto, Paulo S.G. & Stosic, Tatijana, 2019. "Multifractal characterization of Brazilian market sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 956-964.
    24. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    25. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    26. Pengbo Wan & Ghulam Mujtaba & Saira Ashfaq & Song Liangrong & Rana Muhammad Nasir, 2025. "Are rare earth stocks efficient? Novel insights using asymmetric MF-DFA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-17, December.
    27. Chenyu Han & Yiming Wang & Yingying Xu, 2019. "Efficiency and Multifractality Analysis of the Chinese Stock Market: Evidence from Stock Indices before and after the 2015 Stock Market Crash," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    28. Horta, Paulo & Lagoa, Sérgio & Martins, Luís, 2014. "The impact of the 2008 and 2010 financial crises on the Hurst exponents of international stock markets: Implications for efficiency and contagion," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 140-153.
    29. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 167-180.
    30. Yan Meng & Lingyun Xiong & Lijuan Xiao & Min Bai, 2023. "The effect of overseas investors on local market efficiency: evidence from the Shanghai/Shenzhen–Hong Kong Stock Connect," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-32, December.
    31. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    32. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Auto-correlated behavior of WTI crude oil volatilities: A multiscale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5759-5768.
    33. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    34. Cao, Guangxi & Cao, Jie & Xu, Longbing, 2013. "Asymmetric multifractal scaling behavior in the Chinese stock market: Based on asymmetric MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 797-807.
    35. Wang, Yudong & Liu, Li & Gu, Rongbao, 2009. "Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 271-276, December.
    36. Aurelio Fernández Bariviera & M. Belén Guercio & Lisana B. Martinez, 2014. "Informational Efficiency in Distressed Markets: The Case of European Corporate Bonds," The Economic and Social Review, Economic and Social Studies, vol. 45(3), pages 349-369.
    37. Han, Chenyu & Wang, Yiming & Ning, Ye, 2019. "Comparative analysis of the multifractality and efficiency of exchange markets: Evidence from exchange rates dynamics of major world currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    38. Arshad, Shaista & Rizvi, Syed Aun R., 2015. "The troika of business cycle, efficiency and volatility. An East Asian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 158-170.
    39. Todea, Alexandru & Pleşoianu, Anita, 2013. "The influence of foreign portfolio investment on informational efficiency: Empirical evidence from Central and Eastern European stock markets," Economic Modelling, Elsevier, vol. 33(C), pages 34-41.
    40. Stavroyiannis, S. & Makris, I. & Nikolaidis, V., 2010. "Non-extensive properties, multifractality, and inefficiency degree of the Athens Stock Exchange General Index," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 19-24, January.
    41. Xiong, Lingyun & Deng, Hui & Xiao, Lijuan, 2021. "Does stock market liberalization mitigate litigation risk? Evidence from Stock Connect in China," Economic Modelling, Elsevier, vol. 102(C).
    42. Navaz Naghavi & Wee-Yeap Lau, 2014. "Exploring the nexus between financial openness and informational efficiency -- does the quality of institution matter?," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 674-685, March.
    43. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.
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    47. Bhatia, Madhur, 2023. "On the efficiency of the gold returns: An econometric exploration for India, USA and Brazil," Resources Policy, Elsevier, vol. 82(C).
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    58. Liu, Li & Ma, Guofeng, 2014. "Cross-correlation between crude oil and refined product prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 284-293.
    59. Maganini, Natália Diniz & Da Silva Filho, Antônio Carlos & Lima, Fabiano Guasti, 2018. "Investigation of multifractality in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 258-271.
    60. Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
    61. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    62. Arshad, Shaista & Rizvi, Syed Aun R. & Ghani, Gairuzazmi Mat & Duasa, Jarita, 2016. "Investigating stock market efficiency: A look at OIC member countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 402-413.
    63. Ning, Ye & Han, Chenyu & Wang, Yiming, 2018. "The multifractal properties of Euro and Pound exchange rates and comparisons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 578-587.
    64. Arjoon, Vaalmikki, 2016. "Microstructures, financial reforms and informational efficiency in an emerging market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 112-126.
    65. Abdulnasser Hatemi-J, 2012. "Asymmetric causality tests with an application," Empirical Economics, Springer, vol. 43(1), pages 447-456, August.
    66. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    67. Aslam, Faheem & Aziz, Saqib & Nguyen, Duc Khuong & Mughal, Khurrum S. & Khan, Maaz, 2020. "On the efficiency of foreign exchange markets in times of the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    68. Rizwan Khalid & Choudhry Tanveer Shehzad & Bushra Naqvi, 2023. "Impact of capital account liberalization on stock market crashes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3700-3726, October.
    69. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    70. Vogl, Markus, 2023. "Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framework," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    71. Ali, Amjad, 2022. "Financial Liberalization, Institutional Quality and Economic Growth Nexus: Panel Analysis of African Countries," MPRA Paper 116329, University Library of Munich, Germany, revised 2022.
    72. Mehmet Ali Balcı & Larissa M. Batrancea & Ömer Akgüller & Lucian Gaban & Mircea-Iosif Rus & Horia Tulai, 2022. "Fractality of Borsa Istanbul during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(14), pages 1-33, July.
    73. Bariviera, A.F. & Guercio, M. Belén & Martinez, Lisana B., 2012. "A comparative analysis of the informational efficiency of the fixed income market in seven European countries," Economics Letters, Elsevier, vol. 116(3), pages 426-428.
    74. Graham, Michael & Peltomäki, Jarkko & Sturludóttir, Hildur, 2015. "Do capital controls affect stock market efficiency? Lessons from Iceland," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 82-88.
    75. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "The influence of trading volume on market efficiency: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 259-265.
    76. Al Janabi, Mazin A.M. & Hatemi-J, Abdulnasser & Irandoust, Manuchehr, 2010. "An empirical investigation of the informational efficiency of the GCC equity markets: Evidence from bootstrap simulation," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 47-54, January.
    77. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    78. Caihong Xu & Dong Zhang, 2019. "Market openness and market quality in gold markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 384-401, March.
    79. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    80. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    81. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    82. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    83. Jiang, Chun & Qiu, Yihan & Li, Xiao-Lin & Si, Deng-Kui, 2024. "Does stock market liberalization promote entrepreneurship?," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 480-495.
    84. Liu, Li & Wang, Yudong & Wan, Jieqiu, 2010. "Analysis of efficiency for Shenzhen stock market: Evidence from the source of multifractality," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 237-241, September.
    85. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2017. "Asymmetry in spillover effects: Evidence for international stock index futures markets," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 94-111.
    86. Ning, Ye & Wang, Yiming & Su, Chi-wei, 2017. "How did China’s foreign exchange reform affect the efficiency of foreign exchange market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 219-226.
    87. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    88. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    89. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).

  98. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

    Cited by:

    1. Fahad Almudhaf, 2014. "Testing for random walk behaviour in CIVETS exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 21(1), pages 60-63, January.
    2. Noureddine Kouaissah & Amin Hocine, 2021. "Forecasting systemic risk in portfolio selection: The role of technical trading rules," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 708-729, July.
    3. Shyh-wei Chen, 2009. "Random walks in asian foreign exchange markets:evidence from new multiple variance ratio tests," Economics Bulletin, AccessEcon, vol. 29(2), pages 1296-1307.
    4. Md Lutfur Rahman & Mahbub Khan & Samuel A. Vigne & Gazi Salah Uddin, 2021. "Equity return predictability, its determinants, and profitable trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 162-186, January.
    5. Yang, Jian & Cabrera, Juan & Wang, Tao, 2010. "Nonlinearity, data-snooping, and stock index ETF return predictability," European Journal of Operational Research, Elsevier, vol. 200(2), pages 498-507, January.
    6. Victor Dragotă & Elena Ţilică, 2014. "Market efficiency of the Post Communist East European stock markets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 307-337, June.
    7. Angelos Kanas & Angelos Kotios & Panagiotis D. Zervopoulos, 2019. "Semi-parametric real exchange rates dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 643-656, February.
    8. Lingras, P. & Butz, C.J., 2010. "Rough support vector regression," European Journal of Operational Research, Elsevier, vol. 206(2), pages 445-455, October.
    9. Yamani, Ehab, 2021. "Foreign exchange market efficiency and the global financial crisis: Fundamental versus technical information," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 74-89.
    10. Ma, T. & Fraser-Mackenzie, P.A.F. & Sung, M. & Kansara, A.P. & Johnson, J.E.V., 2022. "Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate," European Journal of Operational Research, Elsevier, vol. 299(1), pages 330-345.
    11. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas & Konstantinos Diamantaras, 2014. "Market Sentiment and Exchange Rate Directional Forecasting," Working Paper series 37_14, Rimini Centre for Economic Analysis.
    12. Yufeng Lin & Xiaogang Wang & Yuehua Wu, 2023. "An Adaptive Multiple-Asset Portfolio Strategy with User-Specified Risk Tolerance," Mathematics, MDPI, vol. 11(7), pages 1-35, March.
    13. Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
    14. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    15. Katusiime, Lorna & Shamsuddin, Abul & Agbola, Frank W., 2015. "Foreign exchange market efficiency and profitability of trading rules: Evidence from a developing country," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 315-332.
    16. Todea, Alexandru & Zoicas Ienciu, Adrian, 2011. "Technical Analysis and Stochastic Properties of Exchange Rate Movements: Empirical Evidence from the Romanian Currency Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 175-192, March.
    17. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    18. Doyle, John R. & Chen, Catherine H., 2013. "Patterns in stock market movements tested as random number generators," European Journal of Operational Research, Elsevier, vol. 227(1), pages 122-132.

  99. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2009. "Forbidden patterns, permutation entropy and stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2854-2864.

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    1. Leng, Na & Li, Jiang-Cheng, 2020. "Forecasting the crude oil prices based on Econophysics and Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    2. García Ruiz Reyna Susana & Cruz Aké Salvador & Venegas Martínez Francisco, 2014. "Una medida de eficiencia de mercado: Un enfoque de teoría de la información," Contaduría y Administración, Accounting and Management, vol. 59(4), pages 137-166, octubre-d.
    3. Olivares, Felipe & Zunino, Luciano, 2020. "Multiscale dynamics under the lens of permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    4. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa & de Oliveira, Wilson & Stosic, Tatijana, 2016. "Foreign exchange rate entropy evolution during financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 233-239.
    5. Alvarez-Ramirez, Jose & Rodriguez, Eduardo, 2021. "A singular value decomposition entropy approach for testing stock market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    6. Rosso, Osvaldo A. & Carpi, Laura C. & Saco, Patricia M. & Gómez Ravetti, Martín & Plastino, Angelo & Larrondo, Hilda A., 2012. "Causality and the entropy–complexity plane: Robustness and missing ordinal patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 42-55.
    7. Benedetto, F. & Giunta, G. & Mastroeni, L., 2016. "On the predictability of energy commodity markets by an entropy-based computational method," Energy Economics, Elsevier, vol. 54(C), pages 302-312.
    8. Jiang, Jiaqi & Gu, Rongbao, 2016. "Using Rényi parameter to improve the predictive power of singular value decomposition entropy on stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 254-264.
    9. Vilhena, Alan N. & Pires, Marcelo A. & Da Silva, Rone N. & Duarte Queirós, Sílvio M. & Ribeiro, Ana B.N. & Pinto, Erveton P., 2026. "Nonlinear time-series analysis of Brazilian fisheries data: Entropy, complexity and persistence," Applied Mathematics and Computation, Elsevier, vol. 516(C).
    10. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    11. Rosso, Osvaldo A. & De Micco, Luciana & Plastino, A. & Larrondo, Hilda A., 2010. "Info-quantifiers’ map-characterization revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4604-4612.
    12. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    13. Luiz G. A. Alves & Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2020. "Collective dynamics of stock market efficiency," Papers 2011.14809, arXiv.org.
    14. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2010. "Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1891-1901.
    15. Zhao, Xiaojun & Ji, Mengfan & Zhang, Na & Shang, Pengjian, 2020. "Permutation transition entropy: Measuring the dynamical complexity of financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    16. Storhas, Dominik P. & De Mello, Lurion & Singh, Abhay Kumar, 2020. "Multiscale lead-lag relationships in oil and refined product return dynamics: A symbolic wavelet transfer entropy approach," Energy Economics, Elsevier, vol. 92(C).
    17. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    18. Tokár, T. & Horváth, D., 2012. "Market inefficiency identified by both single and multiple currency trends," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5620-5627.
    19. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    20. Zhang, Yongping & Shang, Pengjian, 2018. "Refined composite multiscale weighted-permutation entropy of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 189-199.
    21. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    22. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
    23. Yin, Yi & Shang, Pengjian, 2016. "Weighted permutation entropy based on different symbolic approaches for financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 137-148.
    24. Sensoy, Ahmet & Aras, Guler & Hacihasanoglu, Erk, 2015. "Predictability dynamics of Islamic and conventional equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 222-248.
    25. Niu, Hongli & Wang, Jun & Liu, Cheng, 2018. "Analysis of crude oil markets with improved multiscale weighted permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 389-402.
    26. Zhang, Yongping & Shang, Pengjian & Xiong, Hui, 2019. "Multivariate generalized information entropy of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1212-1223.
    27. Traversaro, Francisco & Redelico, Francisco O., 2018. "Characterization of autoregressive processes using entropic quantifiers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 13-23.
    28. De Micco, Luciana & Fernández, Juana Graciela & Larrondo, Hilda A. & Plastino, Angelo & Rosso, Osvaldo A., 2012. "Sampling period, statistical complexity, and chaotic attractors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2564-2575.
    29. Argyroudis, George S. & Siokis, Fotios M., 2019. "Spillover effects of Great Recession on Hong-Kong’s Real Estate Market: An analysis based on Causality Plane and Tsallis Curves of Complexity–Entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 576-586.
    30. López Pérez, Mario & Mansilla Corona, Ricardo, 2022. "Ordinal synchronization and typical states in high-frequency digital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    31. Yin, Yi & Shang, Pengjian & Ahn, Andrew C. & Peng, Chung-Kang, 2019. "Multiscale joint permutation entropy for complex time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 388-402.
    32. Obanya, Praise Otito & Seitshiro, Modisane & Olivier, Carel Petrus & Verster, Tanja, 2024. "A permutation entropy analysis of Bitcoin volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    33. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    34. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Exploring disorder and complexity in the cryptocurrency space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 548-556.
    35. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    36. Kuang-Ting Chen, 2015. "Modeling Market Inefficiencies within a Single Instrument," Papers 1511.02046, arXiv.org.
    37. Christoph Bandt, 2020. "Order patterns, their variation and change points in financial time series and Brownian motion," Statistical Papers, Springer, vol. 61(4), pages 1565-1588, August.
    38. F. Benedetto & L. Mastroeni & P. Vellucci, 2021. "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, vol. 299(1), pages 1235-1252, April.
    39. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    40. Busu, Cristian & Busu, Mihail, 2019. "Modeling the predictive power of the singular value decomposition-based entropy. Empirical evidence from the Dow Jones Global Titans 50 Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    41. Christoph Bandt, 2019. "Order patterns, their variation and change points in financial time series and Brownian motion," Papers 1910.09978, arXiv.org.
    42. Chen, Shijian & Shang, Pengjian & Wu, Yue, 2019. "Multivariate multiscale fractional order weighted permutation entropy of nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 217-231.
    43. Francesco Benedetto & Gaetano Giunta & Loretta Mastroeni, 2014. "Maximum entropy estimator for the predictability of energy commodity market time series," Departmental Working Papers of Economics - University 'Roma Tre' 0192, Department of Economics - University Roma Tre.
    44. Martina, Esteban & Rodriguez, Eduardo & Escarela-Perez, Rafael & Alvarez-Ramirez, Jose, 2011. "Multiscale entropy analysis of crude oil price dynamics," Energy Economics, Elsevier, vol. 33(5), pages 936-947, September.
    45. Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.
    46. Abounoori, Esmaiel & Shahrazi, Mahdi & Rasekhi, Saeed, 2012. "An investigation of Forex market efficiency based on detrended fluctuation analysis: A case study for Iran," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3170-3179.
    47. Huang, Jun & Dong, Huijuan & Liu, Xin & Li, Na & Zhu, Jing & Li, Xiaowei & Hu, Bin, 2025. "Modeling forbidden ordinal transition patterns in multi-span ordinal transition networks: From probabilistic analysis to system determinism," Chaos, Solitons & Fractals, Elsevier, vol. 200(P2).
    48. Mario L'opez P'erez & Ricardo Mansilla, 2021. "Ordinal Synchronization and Typical States in High-Frequency Digital Markets," Papers 2110.07047, arXiv.org, revised Mar 2022.
    49. Ji, Aiwen & Shang, Pengjian, 2019. "Analysis of financial time series through forbidden patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    50. Zunino, Luciano & Fernández Bariviera, Aurelio & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2012. "On the efficiency of sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4342-4349.
    51. Liu, Li & Wan, Jieqiu, 2012. "The relationships between Shanghai stock market and CNY/USD exchange rate: New evidence based on cross-correlation analysis, structural cointegration and nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 6051-6059.
    52. Zhe Chen & Yaan Li & Hongtao Liang & Jing Yu, 2019. "Improved Permutation Entropy for Measuring Complexity of Time Series under Noisy Condition," Complexity, Hindawi, vol. 2019, pages 1-12, March.

  100. Benjamin Tabak, 2009. "Testing the expectations hypothesis in the Brazilian term structure of interest rates: a cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2681-2689.

    Cited by:

    1. Montes, Gabriel Caldas & Maia, João Pedro Neves, 2023. "Who speaks louder, financial instruments or credit rating agencies? Analyzing the effects of different sovereign risk measures on interest rates in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    2. Anna Conte & Peter G. Moffatt & Fabrizio Botti & Daniela T. Di Cagno & Carlo d'Ippoliti, 2011. "A Test of the Rational Expectations Hypothesis using data from a Natural Experiment," Post-Print hal-00718703, HAL.
    3. João F. Caldeira, 2020. "Investigating the expectation hypothesis and the risk premium dynamics: new evidence for Brazil," Empirical Economics, Springer, vol. 59(1), pages 395-412, July.
    4. Marco Tronzano, 2018. "Does the Expectations Hypothesis of the Term Structure Hold in Korea after the Asian Financial Crisis? Some Empirical Evidence (1999-2017)," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 191-226.
    5. Marco Tronzano, 2015. "The Expectations Hypothesis of the Term Structure: Further Empirical Evidence for India (1996-2013) - La struttura a termine dei tassi di interesse: ulteriore evidenza empirica per l’India (1996-2013)," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(3), pages 401-421.
    6. Marco Tronzano, 2015. "The Term Structure of Interest Rates in India: Evidence from the Post-Liberalization Period (1996-2013). -La struttura a termine dei tassi di interesse in India: una analisi empirica sul recente perio," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(2), pages 275-295.
    7. Marco Tronzano, 2015. "The Expectations Hypothesis of the Term Structure in Emerging Financial Markets: Some Evidence from Malaysia (1999-2015) - La struttura a termine dei tassi di interesse nei paesi emergenti: alcune evi," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(4), pages 521-550.

  101. Osmani Teixeira De Carvalho Guillen & Benjamin M. Tabak, 2009. "Characterising the Brazilian term structure of interest rates," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 103-114.
    See citations under working paper version above.
  102. Benjamin M. Tabak & Daniel O. Cajueiro & Thiago R. Serra, 2009. "Topological Properties Of Bank Networks: The Case Of Brazil," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1121-1143.

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    1. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    2. Cajueiro, Daniel O., 2010. "Optimal navigation for characterizing the role of the nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1945-1954.
    3. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    4. Xu, Tao & He, Jianmin & Li, Shouwei, 2016. "A dynamic network model for interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 131-138.
    5. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    6. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2016. "A Simple Agent-Based Spatial Model of the Economy: Tools for Policy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-12.

  103. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2009. "The expectation hypothesis of interest rates and network theory: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1137-1149.

    Cited by:

    1. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2012. "Stock market networks: The dynamic conditional correlation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4147-4158.
    2. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    3. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    4. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    5. Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
    6. Kim, Kyungwon & Jung, Sean S., 2014. "Empirical analysis of structural change in Credit Default Swap volatility," Chaos, Solitons & Fractals, Elsevier, vol. 60(C), pages 56-67.
    7. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, "undated". "Relationship Between Prices of Food, Fuel and Biofuel," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135793, European Association of Agricultural Economists.
    8. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    9. Deviren, Seyma Akkaya & Deviren, Bayram, 2016. "The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 429-439.
    10. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
    11. Kantar, Ersin & Aslan, Alper & Deviren, Bayram & Keskin, Mustafa, 2016. "Hierarchical structure of the countries based on electricity consumption and economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 1-10.
    12. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective," Energy Economics, Elsevier, vol. 34(5), pages 1380-1391.
    13. Paulus, Michal & Kristoufek, Ladislav, 2015. "Worldwide clustering of the corruption perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 351-358.
    14. Kang, Sang Hoon & Lahmiri, Salim & Uddin, Gazi Salah & Arreola Hernandez, Jose & Yoon, Seong-Min, 2020. "Inflation cycle synchronization in ASEAN countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    15. A. Q. Barbi & G. A. Prataviera, 2017. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Papers 1711.06185, arXiv.org, revised May 2019.
    16. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    17. Barbi, A.Q. & Prataviera, G.A., 2019. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 876-885.
    18. Ladislav Kristoufek & Karel Janda & David Zilberman, 2012. "Regime-Dependent Topological Properties of Biofuels Networks," CAMA Working Papers 2012-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  104. Cajueiro, Daniel O. & Tabak, Benjamin M. & Werneck, Filipe K., 2009. "Can we predict crashes? The case of the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1603-1609.

    Cited by:

    1. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "When Overconfident Traders Meet Feedback Traders - Updated from 2016," Economics Department Working Paper Series n270-16.pdf, Department of Economics, National University of Ireland - Maynooth.
    2. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    3. Pele, Daniel Traian & Mazurencu-Marinescu-Pele, Miruna, 2018. "Cryptocurrencies, Metcalfe's law and LPPL models," IRTG 1792 Discussion Papers 2018-056, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    4. Li Lin & Didier Sornette, 2018. "“Speculative Influence Network” during financial bubbles: application to Chinese stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 385-431, July.
    5. Andreea Pece, 2014. "The Herding Behavior On Small Capital Markets: Evidence From Romania," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 795-801, July.
    6. Anja Janischewski & Michael Heinrich Baumann, 2025. "What are Asset Price Bubbles? A Survey on Definitions of Financial Bubbles," Chemnitz Economic Papers 065, Department of Economics, Chemnitz University of Technology.
    7. Li Lin & Didier Sornette, 2015. ""Speculative Influence Network" during financial bubbles: application to Chinese Stock Markets," Papers 1510.08162, arXiv.org.
    8. Daniel T. Pele, 2012. "An Lppl Algorithm For Estimating The Critical Time Of A Stock Market Bubble," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 1(2), pages 14-22, DECEMBER.
    9. Baumann, Michael Heinrich & Janischewski, Anja, 2025. "What are asset price bubbles? A survey on definitions of financial bubbles," MPRA Paper 123676, University Library of Munich, Germany.
    10. Daniel Traian Pele & Miruna Mazurencu-Marinescu & Peter Nijkamp, 2013. "Herding Behaviour, Bubbles and Log Periodic Power Laws in Illiquid Stock Markets. A Case Study on the Bucharest Stock Exchange," Tinbergen Institute Discussion Papers 13-109/VIII, Tinbergen Institute.
    11. Matsushita, Raul & Figueiredo, Annibal & Da Silva, Sergio, 2012. "A suggested statistical test for measuring bivariate nonlinear dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4891-4898.
    12. Christos I. Giannikos & Hany Guirguis & Andreas Kakolyris & Tin Shan (Michael) Suen, 2024. "When to Hedge Downside Risk?," Risks, MDPI, vol. 12(2), pages 1-20, February.
    13. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.

  105. Zunino, Luciano & Figliola, Alejandra & Tabak, Benjamin M. & Pérez, Darío G. & Garavaglia, Mario & Rosso, Osvaldo A., 2009. "Multifractal structure in Latin-American market indices," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2331-2340.

    Cited by:

    1. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. da Silva Filho, Antônio Carlos & Maganini, Natália Diniz & de Almeida, Eduardo Fonseca, 2018. "Multifractal analysis of Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 954-967.
    3. Delbianco, Fernando & Tohmé, Fernando & Stosic, Tatijana & Stosic, Borko, 2016. "Multifractal behavior of commodity markets: Fuel versus non-fuel products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 573-580.
    4. Luca Di Persio & Tamirat Temesgen Dufera, 2024. "Deep Neural Network Model for Hurst Exponent: Learning from R/S Analysis," Mathematics, MDPI, vol. 12(22), pages 1-26, November.
    5. Lee, Hojin & Chang, Woojin, 2015. "Multifractal regime detecting method for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 70(C), pages 117-129.
    6. Jale, Jader S. & Júnior, Sílvio F.A.X. & Stošić, Tatijana & Stošić, Borko & Ferreira, Tiago A.E., 2019. "Information flow between Ibovespa and constituent companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 233-239.
    7. Hasan, Rashid & Mohammed Salim, M., 2017. "Power law cross-correlations between price change and volume change of Indian stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 620-631.
    8. Stosic, Dusan & Stosic, Darko & de Mattos Neto, Paulo S.G. & Stosic, Tatijana, 2019. "Multifractal characterization of Brazilian market sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 956-964.
    9. Gajardo, Gabriel & Kristjanpoller, Werner, 2017. "Asymmetric multifractal cross-correlations and time varying features between Latin-American stock market indices and crude oil market," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 121-128.
    10. Dashtian, Hassan & Jafari, G. Reza & Sahimi, Muhammad & Masihi, Mohsen, 2011. "Scaling, multifractality, and long-range correlations in well log data of large-scale porous media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2096-2111.
    11. Arshad, Shaista & Rizvi, Syed Aun R. & Haroon, Omair & Mehmood, Fahad & Gong, Qiang, 2021. "Are oil prices efficient?," Economic Modelling, Elsevier, vol. 96(C), pages 362-370.
    12. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    13. Todea, Alexandru & Pleşoianu, Anita, 2013. "The influence of foreign portfolio investment on informational efficiency: Empirical evidence from Central and Eastern European stock markets," Economic Modelling, Elsevier, vol. 33(C), pages 34-41.
    14. Hasan, Rashid & Mohammad, Salim M., 2015. "Multifractal analysis of Asian markets during 2007–2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 746-761.
    15. Dusan Stosic & Darko Stosic & Tatijana Stosic, 2019. "Nonextensive triplets in stock market indices," Papers 1901.07721, arXiv.org.
    16. Traversaro, Francisco & Redelico, Francisco O., 2018. "Characterization of autoregressive processes using entropic quantifiers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 13-23.
    17. Tetsuya Takaishi, 2017. "Statistical properties and multifractality of Bitcoin," Papers 1707.07618, arXiv.org, revised May 2018.
    18. Rizvi, Syed Aun R. & Arshad, Shaista, 2017. "Analysis of the efficiency–integration nexus of Japanese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 296-308.
    19. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    20. Maganini, Natália Diniz & Da Silva Filho, Antônio Carlos & Lima, Fabiano Guasti, 2018. "Investigation of multifractality in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 258-271.
    21. Zhou, Wei-Xing, 2012. "Finite-size effect and the components of multifractality in financial volatility," Chaos, Solitons & Fractals, Elsevier, vol. 45(2), pages 147-155.
    22. Wu, Liang & Chen, Lei & Ding, Yiming & Zhao, Tongzhou, 2018. "Testing for the source of multifractality in water level records," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 824-839.
    23. Takaishi, Tetsuya, 2018. "Statistical properties and multifractality of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 507-519.
    24. Guglielmo Maria Caporale & Alex Plastun, 2022. "Persistence in High Frequency Financial Data," CESifo Working Paper Series 10045, CESifo.
    25. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    26. Dai, Meifeng & Hou, Jie & Gao, Jianyu & Su, Weiyi & Xi, Lifeng & Ye, Dandan, 2016. "Mixed multifractal analysis of China and US stock index series," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 268-275.
    27. Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.
    28. A. K. M. Azhar & Vincent B. Y. Gan & W. A. T. Wan Abdullah & H. Zainuddin, 2015. "On the Fractal Geometry of the Balance Sheet and the Fractal Index of Insolvency Risk," Papers 1512.09280, arXiv.org.
    29. Ausloos, M., 2012. "Measuring complexity with multifractals in texts. Translation effects," Chaos, Solitons & Fractals, Elsevier, vol. 45(11), pages 1349-1357.
    30. Gulich, Damián & Zunino, Luciano, 2012. "The effects of observational correlated noises on multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4100-4110.
    31. Stosic, Dusan & Stosic, Darko & Stosic, Tatijana, 2019. "Nonextensive triplets in stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 192-198.
    32. Cordeiro Moreira, Jeíce Catrine & Lima, Gerlando A.S.F. & Góis, Alan Diógenes, 2019. "Effects of institutional factors on the accruals anomaly in Latin America," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 36(C), pages 1-1.
    33. Bigdeli, N. & Afshar, K., 2009. "Chaotic behavior of price in the power markets with pay-as-bid payment mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 42(4), pages 2560-2569.
    34. Schadner, Wolfgang, 2021. "On the persistence of market sentiment: A multifractal fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    35. Grahovac, Danijel & Leonenko, Nikolai N., 2014. "Detecting multifractal stochastic processes under heavy-tailed effects," Chaos, Solitons & Fractals, Elsevier, vol. 65(C), pages 78-89.
    36. Liu, Li & Wang, Yudong & Wan, Jieqiu, 2010. "Analysis of efficiency for Shenzhen stock market: Evidence from the source of multifractality," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 237-241, September.
    37. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).

  106. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.

    Cited by:

    1. Lautier, Delphine & Raynaud, Franck, 2011. "Statistical properties of derivatives: A journey in term structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2009-2019.
    2. Mishra, Ritesh Kumar & Sehgal, Sanjay & Bhanumurthy, N.R., 2011. "A search for long-range dependence and chaotic structure in Indian stock market," Review of Financial Economics, Elsevier, vol. 20(2), pages 96-104, May.
    3. Jian Pan & Xiangying Zhou, 2017. "Pricing for options in a mixed fractional Hull–White interest rate model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-15, March.
    4. Wang, Xiao-Tian, 2010. "Scaling and long range dependence in option pricing, IV: Pricing European options with transaction costs under the multifractional Black–Scholes model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 789-796.
    5. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    6. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    7. Wang, XiaoTian & Yang, ZiJian & Cao, PiYao & Wang, ShiLin, 2021. "The closed-form option pricing formulas under the sub-fractional Poisson volatility models," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    8. Wang, Xiao-Tian & Wu, Min & Zhou, Ze-Min & Jing, Wei-Shu, 2012. "Pricing European option with transaction costs under the fractional long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1469-1480.
    9. Wang, Xiao-Tian, 2011. "Scaling and long-range dependence in option pricing V: Multiscaling hedging and implied volatility smiles under the fractional Black–Scholes model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1623-1634.
    10. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Bayesian analysis of chaos: The joint return-volatility dynamical system," MPRA Paper 80632, University Library of Munich, Germany.
    11. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    12. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    13. Jiang, Yonghong & Nie, He & Ruan, Weihua, 2018. "Time-varying long-term memory in Bitcoin market," Finance Research Letters, Elsevier, vol. 25(C), pages 280-284.
    14. Wang, Xiao-Tian & Yan, Hai-Gang & Tang, Ming-Ming & Zhu, En-Hui, 2010. "Scaling and long-range dependence in option pricing III: A fractional version of the Merton model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 452-458.
    15. Lahmiri, Salim, 2017. "A study on chaos in crude oil markets before and after 2008 international financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 389-395.
    16. Xiao, Weilin & Zhang, Weiguo & Zhang, Xili & Chen, Xiaoyan, 2014. "The valuation of equity warrants under the fractional Vasicek process of the short-term interest rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 320-337.
    17. Lahmiri, Salim, 2017. "Asymmetric and persistent responses in price volatility of fertilizers through stable and unstable periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 405-414.
    18. Tao Yin & Yiming Wang, 2019. "Predicting the Price of WTI Crude Oil Using ANN and Chaos," Sustainability, MDPI, vol. 11(21), pages 1-14, October.
    19. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    20. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    21. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 95-107.
    22. Gu, Rongbao & Chen, Xi & Li, Xinjie, 2014. "Chaos recognition and fractal analysis in the term structure of Shanghai Interbank Offered Rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 101-112.
    23. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    24. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    25. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    26. Lahmiri, Salim, 2017. "Cointegration and causal linkages in fertilizer markets across different regimes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 181-189.
    27. Burnecki, Krzysztof & Sikora, Grzegorz, 2017. "Identification and validation of stable ARFIMA processes with application to UMTS data," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 456-466.

  107. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Multifractality and herding behavior in the Japanese stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 497-504.

    Cited by:

    1. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Mnif, Emna & Jarboui, Anis & Mouakhar, Khaireddine, 2020. "How the cryptocurrency market has performed during COVID 19? A multifractal analysis," Finance Research Letters, Elsevier, vol. 36(C).
    3. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    4. Fernández-Martínez, M. & Sánchez-Granero, M.A. & Casado Belmonte, M.P. & Trinidad Segovia, J.E., 2020. "A note on power-law cross-correlated processes," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    5. Kononovicius, A. & Ruseckas, J., 2015. "Nonlinear GARCH model and 1/f noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 74-81.
    6. Delbianco, Fernando & Tohmé, Fernando & Stosic, Tatijana & Stosic, Borko, 2016. "Multifractal behavior of commodity markets: Fuel versus non-fuel products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 573-580.
    7. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    8. Wang, Yudong & Liu, Li & Gu, Rongbao & Cao, Jianjun & Wang, Haiyan, 2010. "Analysis of market efficiency for the Shanghai stock market over time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1635-1642.
    9. Kakinaka, Shinji & Umeno, Ken, 2022. "Cryptocurrency market efficiency in short- and long-term horizons during COVID-19: An asymmetric multifractal analysis approach," Finance Research Letters, Elsevier, vol. 46(PA).
    10. Darko Stosic & Dusan Stosic & Irena Vodenska & H. Eugene Stanley & Tatijana Stosic, 2021. "A new look at calendar anomalies: Multifractality and day of the week effect," Papers 2106.06164, arXiv.org.
    11. Wang, Qizhen & Zhu, Yingming & Yang, Liansheng & Mul, Remco A.H., 2017. "Coupling detrended fluctuation analysis of Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 337-350.
    12. TRENCA Ioan & PETRIA Ioan & PECE Andreea Maria, 2015. "Empirical Inquiry Of Gregarious Behavior: Evidence From European Emerging Markets," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 67(2), pages 143-160.
    13. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    14. Hilal Hümeyra Özsu, 2015. "Empirical Analysis of Herd Behavior in Borsa Istanbul," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(4), pages 27-52, December.
    15. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    16. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.
    17. Aleksejus Kononovicius & Vygintas Gontis, 2014. "Herding interactions as an opportunity to prevent extreme events in financial markets," Papers 1409.8024, arXiv.org, revised May 2015.
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    109. Tetsuya Takaishi, 2025. "Multifractality and sample size influence on Bitcoin volatility patterns," Papers 2511.03314, arXiv.org.
    110. Wang, Qing & Hu, Yiming, 2015. "Cross-correlation between interest rates and commodity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 80-89.
    111. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Yoon, Seong-Min, 2018. "Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets," Finance Research Letters, Elsevier, vol. 27(C), pages 228-234.
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    116. Kristjanpoller, Werner & Minutolo, Marcel C., 2021. "Asymmetric multi-fractal cross-correlations of the price of electricity in the US with crude oil and the natural gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    117. Ruan, Qingsong & Cui, Hao & Fan, Liming, 2020. "China’s soybean crush spread: Nonlinear analysis based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    118. Tetsuya Takaishi & Takanori Adachi, 2019. "Market efficiency, liquidity, and multifractality of Bitcoin: A dynamic study," Papers 1902.09253, arXiv.org.
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    120. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Ko, Hee-Un & Yoon, Seong-Min & Kang, Sang Hoon, 2020. "Why cryptocurrency markets are inefficient: The impact of liquidity and volatility," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
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    124. Stošić, Dusan & Stošić, Darko & Stošić, Tatijana & Eugene Stanley, H., 2015. "Multifractal properties of price change and volume change of stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 46-51.
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    126. Xu, Hao & Li, Songsong & Tian, Zhihong, 2023. "Does foreign equity investment impact the spillover effect of industries in China?," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    127. John Goddard & Enrico Onali, 2016. "Long memory and multifractality: A joint test," Papers 1601.00903, arXiv.org.
    128. Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.
    129. Ardalankia, Jamshid & Osoolian, Mohammad & Haven, Emmanuel & Jafari, G. Reza, 2020. "Scaling features of price–volume cross correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    130. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    131. Wang, Jian & Kim, Junseok & Shao, Wei & Nam, SeungHyon & Hong, Soon-Cheol, 2021. "Effect of oxytocin injection on fetal heart rate based on multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    132. Jamshid Ardalankia & Mohammad Osoolian & Emmanuel Haven & G. Reza Jafari, 2019. "Scaling Features of Price-Volume Cross-Correlation," Papers 1903.01744, arXiv.org, revised Aug 2020.
    133. Qin, Jing & Lu, Xinsheng & Zhou, Ying & Qu, Ling, 2015. "The effectiveness of China’s RMB exchange rate reforms: An insight from multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 443-454.
    134. Zhou, Weijie & Dang, Yaoguo & Gu, Rongbao, 2013. "Efficiency and multifractality analysis of CSI 300 based on multifractal detrending moving average algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1429-1438.
    135. Olivares, Felipe & Zanin, Massimiliano, 2022. "Corrupted bifractal features in finite uncorrelated power-law distributed data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    136. Corzo, Teresa & Martin-Bujack, Karin & Portela, Jose & Rodríguez-Gallego, Alejandro, 2025. "Exchange rate regime changes and market efficiency: An event study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 100(C).
    137. Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    138. Tetsuya Takaishi, 2021. "Time-varying properties of asymmetric volatility and multifractality in Bitcoin," Papers 2102.07425, arXiv.org.
    139. Gulich, Damián & Zunino, Luciano, 2012. "The effects of observational correlated noises on multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4100-4110.
    140. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
    141. Schadner, Wolfgang, 2021. "On the persistence of market sentiment: A multifractal fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    142. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Multifractal behavior of price and volume changes in the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 54-61.
    143. Laura Raisa Miloş & Cornel Haţiegan & Marius Cristian Miloş & Flavia Mirela Barna & Claudiu Boțoc, 2020. "Multifractal Detrended Fluctuation Analysis (MF-DFA) of Stock Market Indexes. Empirical Evidence from Seven Central and Eastern European Markets," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    144. Mensi, Walid & Lee, Yun-Jung & Vinh Vo, Xuan & Yoon, Seong-Min, 2021. "Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    145. Safdari, H. & Hosseiny, A. & Vasheghani Farahani, S. & Jafari, G.R., 2016. "A picture for the coupling of unemployment and inflation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 744-750.
    146. Ning, Ye & Wang, Yiming & Su, Chi-wei, 2017. "How did China’s foreign exchange reform affect the efficiency of foreign exchange market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 219-226.
    147. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    148. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    149. Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).
    150. Yun Shi & Lin Yang & Mei Huang & Jun Steed Huang, 2021. "Multi-Factorized Semi-Covariance of Stock Markets and Gold Price," JRFM, MDPI, vol. 14(4), pages 1-11, April.
    151. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    152. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.
    153. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
    154. Li, Zhihui & Lu, Xinsheng, 2012. "Cross-correlations between agricultural commodity futures markets in the US and China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3930-3941.
    155. Wang, Jian & Yang, Mengdie & Lu, Lin & Shao, Wei, 2022. "Does the “Delta Variant” affect the nonlinear dynamic characteristics of SARS-CoV-2 transmission?," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    156. Ko, Bonggyun & Song, Jae Wook, 2018. "A simple analytics framework for evaluating mean escape time in different term structures with stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 398-412.
    157. Ruan, Qingsong & Wang, Yao & Lu, Xinsheng & Qin, Jing, 2016. "Cross-correlations between Baltic Dry Index and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 278-289.
    158. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).

  109. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.

    Cited by:

    1. Jonathan A. Batten & Cetin Ciner & Brian M. Lucey & Peter G. Szilagyi, 2013. "The structure of gold and silver spread returns," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 561-570, March.

  110. Vicente, José & Tabak, Benjamin M., 2008. "Forecasting bond yields in the Brazilian fixed income market," International Journal of Forecasting, Elsevier, vol. 24(3), pages 490-497.
    See citations under working paper version above.
  111. Souza, Sergio R. & Tabak, Benjamin M. & Cajueiro, Daniel O., 2008. "Long memory testing for Fed Funds Futures’ contracts," Chaos, Solitons & Fractals, Elsevier, vol. 37(1), pages 180-186.

    Cited by:

    1. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    2. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    3. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    4. Burnecki, Krzysztof & Sikora, Grzegorz, 2017. "Identification and validation of stable ARFIMA processes with application to UMTS data," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 456-466.

  112. Chang, Eui Jung & Lima, Eduardo José Araújo & Guerra, Solange M. & Tabak, Benjamin M., 2008. "Measures of Interbank Market Structure: An Application to Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.

    Cited by:

    1. Weill, Pierre-Olivier & Hugonnier, Julien & Lester, Benjamin, 2020. "Heterogeneity in Decentralized Asset Markets," CEPR Discussion Papers 14274, C.E.P.R. Discussion Papers.
    2. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    3. Lartey, Theophilus & James, Gregory A. & Danso, Albert & Boateng, Agyenim, 2023. "Interbank market structure, bank conduct, and performance: Evidence from the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 1-25.
    4. Levent Altinoglu & Joseph E. Stiglitz, 2020. "Collective Moral Hazard and the Interbank Market," Finance and Economics Discussion Series 2020-098, Board of Governors of the Federal Reserve System (U.S.).
    5. Maryam Farboodi, 2014. "Intermediation and Voluntary Exposure to Counterparty Risk," 2014 Meeting Papers 365, Society for Economic Dynamics.
    6. Craig, Ben & Ma, Yiming, 2022. "Intermediation in the interbank lending market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 179-207.
    7. Farboodi, Maryam, 2017. "Comment on network reactions to banking regulations by Selman Erol and Guillermo Ordonez," Journal of Monetary Economics, Elsevier, vol. 89(C), pages 68-70.
    8. Maryam Farboodi & Gregor Jarosch & Robert Shimer, 2017. "The Emergence of Market Structure," NBER Working Papers 23234, National Bureau of Economic Research, Inc.
    9. Gofman, Michael, 2017. "Efficiency and stability of a financial architecture with too-interconnected-to-fail institutions," Journal of Financial Economics, Elsevier, vol. 124(1), pages 113-146.
    10. Bulent Ozel & Mario Eboli & Andrea Toto & Andrea Teglio, 2018. "Robust-yet-fragile: A simulation model on exposure and concentration at interbank networks," Working Papers 2018/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Ben R. Craig & Yiming Ma, 2020. "Intermediation in the Interbank Lending Market," Working Papers 20-09, Federal Reserve Bank of Cleveland.
    12. Tolga Umut Kuzubas & Burak Saltoglu & Can Sever, 2014. "Systemic Risk and Heterogeneous Leverage in Banking Network: Implications for Banking Regulation," Working Papers 2014/01, Bogazici University, Department of Economics.

  113. e Souza, Geraldo da Silva & Staub, Roberta Blass & Tabak, Benjamin Miranda, 2008. "A Probabilistic Approach for Assessing the Significance of Contextual Variables in Nonparametric Frontier Models: An Application to Brazilian Banks," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(1), May.

    Cited by:

    1. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    2. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.

  114. Sergio R. S. Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2008. "Long-Range Dependence In Exchange Rates: The Case Of The European Monetary System," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 199-223.
    See citations under working paper version above.
  115. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for long-range dependence in world stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 37(3), pages 918-927.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.
    2. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2014. "Structural breaks and long memory in modeling and forecasting volatility of foreign exchange markets of oil exporters: The importance of scheduled and unscheduled news announcements," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 101-119.
    3. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    4. Zhuang, Xiaoyang & Wei, Yu & Zhang, Bangzheng, 2014. "Multifractal detrended cross-correlation analysis of carbon and crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 113-125.
    5. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    6. Dutta, Srimonti & Ghosh, Dipak & Samanta, Shukla, 2014. "Multifractal detrended cross-correlation analysis of gold price and SENSEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 195-204.
    7. Ma, Feng & Wei, Yu & Huang, Dengshi & Zhao, Lin, 2013. "Cross-correlations between West Texas Intermediate crude oil and the stock markets of the BRIC," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5356-5368.
    8. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behavior in Mediterranean stock markets: a wavelet-based approach," Working Papers 2014-184, Department of Research, Ipag Business School.
    9. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    11. Jiang, Yonghong & Nie, He & Ruan, Weihua, 2018. "Time-varying long-term memory in Bitcoin market," Finance Research Letters, Elsevier, vol. 25(C), pages 280-284.
    12. Cao, Guangxi & Xu, Longbing & Cao, Jie, 2012. "Multifractal detrended cross-correlations between the Chinese exchange market and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4855-4866.
    13. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    14. Kristoufek, Ladislav, 2010. "On spurious anti-persistence in the US stock indices," Chaos, Solitons & Fractals, Elsevier, vol. 43(1), pages 68-78.
    15. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    16. Boryana Bogdanova & Ivan Ivanov, 2016. "A wavelet-based approach to the analysis and modelling of financial time series exhibiting strong long-range dependence: the case of Southeast Europe," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 655-673, March.
    17. Jian Zhou & Gao-Feng Gu & Zhi-Qiang Jiang & Xiong Xiong & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Computational experiments successfully predict the emergence of autocorrelations in ultra-high-frequency stock returns," Papers 1404.1051, arXiv.org, revised Feb 2018.
    18. Ibarra-Valdez, C. & Alvarez, J. & Alvarez-Ramirez, J., 2016. "Randomness confidence bands of fractal scaling exponents for financial price returns," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 119-124.
    19. Jonathan A. Batten & Cetin Ciner & Brian M. Lucey & Peter G. Szilagyi, 2013. "The structure of gold and silver spread returns," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 561-570, March.
    20. Adil Yilmaz & Gazanfer Unal, 2016. "Chaos in Fractionally Integrated Generalized Autoregressive Conditional Heteroskedastic Processes," Papers 1601.08099, arXiv.org, revised Feb 2016.
    21. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    22. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    23. Martínez Patiño, Manuel Andrés & Ariza Garzón, Miller Janny & Cadena Lozano, Javier Bernardo, 2021. "Relevancia del patrón de persistencia de Hurst en la gestión de portafolios de renta variable|| Relevance of Hurst's pattern in equity portfolio management," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 66-82, December.
    24. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    25. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    26. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Miranda, José G.V. & García-Rubio, Raquel, 2013. "How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1631-1637.
    27. Rivera-Castro, Miguel A. & Miranda, José G.V. & Cajueiro, Daniel O. & Andrade, Roberto F.S., 2012. "Detecting switching points using asymmetric detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 170-179.
    28. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    29. Korotin, Vladimir & Dolgonosov, Maxim & Popov, Victor & Korotina, Olesya & Korolkova, Inna, 2019. "The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 156-168.
    30. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    31. Bigdeli, N. & Afshar, K., 2009. "Chaotic behavior of price in the power markets with pay-as-bid payment mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 42(4), pages 2560-2569.
    32. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
    33. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.

  116. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.

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    1. Dora Almeida & Andreia Dionísio & Paulo Ferreira, 2023. "When two banks fall, how do markets react?," Economics and Business Letters, Oviedo University Press, vol. 12(4), pages 331-341.
    2. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    3. Nafis Alam & Shaista Arshad & Syed Aun R. Rizvi, 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 108-114, November.
    4. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    5. Wang, Xiao-Tian, 2010. "Scaling and long range dependence in option pricing, IV: Pricing European options with transaction costs under the multifractional Black–Scholes model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 789-796.
    6. Imen Zgueb Rejichi & Chaker Aloui & Duc Khuong Nguyen, 2014. "Assessing the efficiency of the MENA emerging stock markets: A sectoral perspective," Working Papers 2014-78, Department of Research, Ipag Business School.
    7. Vinodh Madhavan & Rakesh Arrawatia, 2016. "Relative Efficiency of G8 Sovereign Credit Default Swaps and Bond Scrips: An Adaptive Market Hypothesis Perspective," Studies in Microeconomics, , vol. 4(2), pages 127-150, December.
    8. Wang, Xiao-Tian, 2011. "Scaling and long-range dependence in option pricing V: Multiscaling hedging and implied volatility smiles under the fractional Black–Scholes model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1623-1634.
    9. Wang, Xiao-Tian, 2010. "Scaling and long-range dependence in option pricing I: Pricing European option with transaction costs under the fractional Black–Scholes model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 438-444.
    10. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Auto-correlated behavior of WTI crude oil volatilities: A multiscale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5759-5768.
    11. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    12. Cao, Guangxi & Cao, Jie & Xu, Longbing, 2013. "Asymmetric multifractal scaling behavior in the Chinese stock market: Based on asymmetric MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 797-807.
    13. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    14. Hui, Eddie Chi-Man & Wang, Ziyou, 2015. "Can we predict the property cycle? A study of securitized property market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 72-87.
    15. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    16. Liu, Li & Ma, Guofeng, 2014. "Cross-correlation between crude oil and refined product prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 284-293.
    17. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    18. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    19. Wang, Zhuo & Shang, Pengjian, 2021. "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    20. Ferreira, Paulo, 2019. "Assessing the relationship between dependence and volume in stock markets: A dynamic analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 90-97.
    21. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    22. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    23. Ferreira, Paulo, 2018. "Efficiency or speculation? A time-varying analysis of European sovereign debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1295-1308.
    24. Qin, Jing & Lu, Xinsheng & Zhou, Ying & Qu, Ling, 2015. "The effectiveness of China’s RMB exchange rate reforms: An insight from multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 443-454.
    25. Paulo Ferreira & Luís Carlos Loures, 2020. "An Econophysics Study of the S&P Global Clean Energy Index," Sustainability, MDPI, vol. 12(2), pages 1-9, January.
    26. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    27. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
    28. Ruan, Qingsong & Wang, Yao & Lu, Xinsheng & Qin, Jing, 2016. "Cross-correlations between Baltic Dry Index and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 278-289.

  117. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "The role of banks in the Brazilian interbank market: Does bank type matter?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6825-6836.
    See citations under working paper version above.
  118. Chang, E.J. & Guerra, S.M. & Lima, E.J.A. & Tabak, B.M., 2008. "The stability-concentration relationship in the Brazilian banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(4), pages 388-397, October.
    See citations under working paper version above.
  119. Tabak, Benjamin M. & Staub, Roberta B., 2007. "Assessing financial instability: The case of Brazil," Research in International Business and Finance, Elsevier, vol. 21(2), pages 188-202, June.

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    1. Ladrón de Guevara Cortés Rogelio & Torra Porras Salvador, 2014. "Estimation of the underlying structure of systematic risk with the use of principal component analysis and factor analysis," Contaduría y Administración, Accounting and Management, vol. 59(3), pages 197-234, julio-sep.
    2. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    3. Rishika Khetan & Varda Sardana & Shubham Singhania & Jagvinder Singh, 2025. "Financial stability through a global perspective: an in-depth integrative review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(8), pages 2912-2929, August.
    4. Saidane, Dhafer & Sène, Babacar & Désiré Kanga, Kouamé, 2021. "Pan-African banks, banking interconnectivity: A new systemic risk measure in the WAEMU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    5. Espinosa-Torres, Juan Andrés & Gomez-Gonzalez, Jose Eduardo & Melo-Velandia, Luis Fernando & Moreno-Gutiérrez, José Fernando, 2016. "The international transmission of risk: Causal relations among developed and emerging countries’ term premia," Research in International Business and Finance, Elsevier, vol. 37(C), pages 646-654.
    6. Mamede, Samuel de Paiva Naves & Malaquias, Rodrigo Fernandes, 2017. "Monday effect in Brazilian hedge funds with immediate redemption," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 47-53.
    7. Sarah Sanya & Mr. Montfort Mlachila, 2010. "Post-Crisis Bank Behavior: Lessons From Mercosur," IMF Working Papers 2010/001, International Monetary Fund.
    8. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    9. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

  120. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and multifractality in the term structure of LIBOR interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 603-614.

    Cited by:

    1. Lautier, Delphine & Raynaud, Franck, 2011. "Statistical properties of derivatives: A journey in term structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2009-2019.
    2. Xiao, Wei-Lin & Zhang, Wei-Guo & Zhang, Xili & Zhang, Xiaoli, 2012. "Pricing model for equity warrants in a mixed fractional Brownian environment and its algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6418-6431.
    3. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur. M., 2015. "Developing trading strategies based on fractal finance: An application of MF-DFA in the context of Islamic equities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 223-235.
    4. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    5. Calisse, Frank, 2019. "The impact of long-range dependence in the capital stock on interest rate and wealth distribution," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203591, Verein für Socialpolitik / German Economic Association.
    6. Mensi, Walid & Tiwari, Aviral Kumar & Yoon, Seong-Min, 2017. "Global financial crisis and weak-form efficiency of Islamic sectoral stock markets: An MF-DFA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 135-146.
    7. Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
    8. Ladislav Kristoufek & Miloslav Vosvrda, 2012. "Measuring capital market efficiency: Global and local correlations structure," Papers 1208.1298, arXiv.org.
    9. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    10. Jian Pan & Xiangying Zhou, 2017. "Pricing for options in a mixed fractional Hull–White interest rate model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-15, March.
    11. Yufang Liu & Weiguo Zhang & Junhui Fu & Xiang Wu, 2020. "Multifractal Analysis of Realized Volatilities in Chinese Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 319-336, August.
    12. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    13. Zhang, Wei-Guo & Li, Zhe & Liu, Yong-Jun, 2018. "Analytical pricing of geometric Asian power options on an underlying driven by a mixed fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 402-418.
    14. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.
    15. Ma, Feng & Wei, Yu & Huang, Dengshi & Zhao, Lin, 2013. "Cross-correlations between West Texas Intermediate crude oil and the stock markets of the BRIC," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5356-5368.
    16. Jale, Jader S. & Júnior, Sílvio F.A.X. & Stošić, Tatijana & Stošić, Borko & Ferreira, Tiago A.E., 2019. "Information flow between Ibovespa and constituent companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 233-239.
    17. Lucía Inglada-Pérez & Pablo Coto-Millán, 2021. "A Chaos Analysis of the Dry Bulk Shipping Market," Mathematics, MDPI, vol. 9(17), pages 1-35, August.
    18. Liu, Yufang & Zhang, Weiguo & Fu, Junhui, 2016. "Binomial Markov-Switching Multifractal model with Skewed t innovations and applications to Chinese SSEC Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 56-66.
    19. Stosic, Dusan & Stosic, Darko & de Mattos Neto, Paulo S.G. & Stosic, Tatijana, 2019. "Multifractal characterization of Brazilian market sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 956-964.
    20. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    21. Kenneth Q. Zhou & Hongjuan Zhou, 2025. "Modeling Excess Mortality and Interest Rates using Mixed Fractional Brownian Motions," Papers 2507.19445, arXiv.org, revised Aug 2025.
    22. Zhongxing Wang & Yan Yan & Xiaosong Chen, 2016. "Long-range Correlation and Market Segmentation in Bond Market," Papers 1610.09812, arXiv.org.
    23. Xiao, Weilin & Zhang, Weiguo & Xu, Weijun & Zhang, Xili, 2012. "The valuation of equity warrants in a fractional Brownian environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1742-1752.
    24. Chen, Hong & Zhu, Li & Jia, GuoZhu, 2020. "MF-DCCA between molecular properties and aqueous solubility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    25. Wang, Yudong & Liu, Li & Gu, Rongbao, 2009. "Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 271-276, December.
    26. M. Kanevski & M. Maignan & A. Pozdnoukhov & V. Timonin, 2007. "Interest rates mapping," Papers 0709.4361, arXiv.org.
    27. Stavroyiannis, S. & Makris, I. & Nikolaidis, V., 2010. "Non-extensive properties, multifractality, and inefficiency degree of the Athens Stock Exchange General Index," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 19-24, January.
    28. Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.
    29. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.
    30. Kanevski, M. & Maignan, M. & Pozdnoukhov, A. & Timonin, V., 2008. "Interest rates mapping," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3897-3903.
    31. Chen, Hongtao & Wu, Chongfeng, 2011. "Forecasting volatility in Shanghai and Shenzhen markets based on multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(16), pages 2926-2935.
    32. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    33. Wang, Yi & Sun, Qi & Zhang, Zilu & Chen, Liqing, 2022. "A risk measure of the stock market that is based on multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    34. Lin, Xiaoqiang & Tang, Zhenpeng & Fei, Fangyu, 2013. "Testing for relationships between Shanghai and Shenzhen stock markets: A threshold cointegration perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4064-4074.
    35. Wei, Yu & Wang, Yudong & Huang, Dengshi, 2011. "A copula–multifractal volatility hedging model for CSI 300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4260-4272.
    36. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying, 2012. "Price–volume multifractal analysis and its application in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3484-3495.
    37. Xiao, Weilin & Zhang, Weiguo & Zhang, Xili & Chen, Xiaoyan, 2014. "The valuation of equity warrants under the fractional Vasicek process of the short-term interest rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 320-337.
    38. Yuxin Zhao & Shuai Chang & Chang Liu, 2015. "Multifractal theory with its applications in data management," Annals of Operations Research, Springer, vol. 234(1), pages 133-150, November.
    39. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    40. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    41. Zhang, Weiping & Zhuang, Xintian, 2019. "The stability of Chinese stock network and its mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 748-761.
    42. Xiaojing Xi & Rogemar Mamon, 2014. "Capturing the Regime-Switching and Memory Properties of Interest Rates," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 307-337, October.
    43. Ma, Feng & Wei, Yu & Huang, Dengshi, 2013. "Multifractal detrended cross-correlation analysis between the Chinese stock market and surrounding stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1659-1670.
    44. Lin, Xiaoqiang & Fei, Fangyu, 2013. "Long memory revisit in Chinese stock markets: Based on GARCH-class models and multiscale analysis," Economic Modelling, Elsevier, vol. 31(C), pages 265-275.
    45. Wang, Qing & Hu, Yiming, 2015. "Cross-correlation between interest rates and commodity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 80-89.
    46. Zunino, Luciano & Figliola, Alejandra & Tabak, Benjamin M. & Pérez, Darío G. & Garavaglia, Mario & Rosso, Osvaldo A., 2009. "Multifractal structure in Latin-American market indices," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2331-2340.
    47. Martínez Patiño, Manuel Andrés & Ariza Garzón, Miller Janny & Cadena Lozano, Javier Bernardo, 2021. "Relevancia del patrón de persistencia de Hurst en la gestión de portafolios de renta variable|| Relevance of Hurst's pattern in equity portfolio management," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 66-82, December.
    48. Zhang, Xili & Xiao, Weilin, 2017. "Arbitrage with fractional Gaussian processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 620-628.
    49. A. K. M. Azhar & Vincent B. Y. Gan & W. A. T. Wan Abdullah & H. Zainuddin, 2015. "On the Fractal Geometry of the Balance Sheet and the Fractal Index of Insolvency Risk," Papers 1512.09280, arXiv.org.
    50. Leonenko, Nikolai & Petherick, Stuart & Taufer, Emanuele, 2013. "Multifractal models via products of geometric OU-processes: Review and applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 7-16.
    51. Gu, Rongbao & Chen, Xi & Li, Xinjie, 2014. "Chaos recognition and fractal analysis in the term structure of Shanghai Interbank Offered Rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 101-112.
    52. Guangxi Cao, 2012. "Time-Varying Effects of Changes in the Interest Rate and the RMB Exchange Rate on the Stock Market of China: Evidence from the Long-Memory TVP-VAR Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 230-248, July.
    53. Wang, Xiao-Tian & Zhu, En-Hui & Tang, Ming-Ming & Yan, Hai-Gang, 2010. "Scaling and long-range dependence in option pricing II: Pricing European option with transaction costs under the mixed Brownian–fractional Brownian model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 445-451.
    54. Panhong Cheng & Zhihong Xu & Zexing Dai, 2023. "Valuation of vulnerable options with stochastic corporate liabilities in a mixed fractional Brownian motion environment," Mathematics and Financial Economics, Springer, volume 17, number 3, January.
    55. Almeida, Lucas Mussoi & Perlin, Marcelo Scherer & Müller, Fernanda Maria, 2025. "Pricing efficiency in cryptocurrencies: The case of centralized and decentralized markets," Journal of Economics and Business, Elsevier, vol. 133(C).
    56. Olivares, Felipe & Zanin, Massimiliano, 2022. "Corrupted bifractal features in finite uncorrelated power-law distributed data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    57. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    58. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    59. Sun, Lin, 2013. "Pricing currency options in the mixed fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3441-3458.
    60. Gerlich, Nikolas & Rostek, Stefan, 2015. "Estimating serial correlation and self-similarity in financial time series—A diversification approach with applications to high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 84-98.
    61. Laura Raisa Miloş & Cornel Haţiegan & Marius Cristian Miloş & Flavia Mirela Barna & Claudiu Boțoc, 2020. "Multifractal Detrended Fluctuation Analysis (MF-DFA) of Stock Market Indexes. Empirical Evidence from Seven Central and Eastern European Markets," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    62. Wang, Yudong & Wu, Chongfeng & Wei, Yu, 2011. "Can GARCH-class models capture long memory in WTI crude oil markets?," Economic Modelling, Elsevier, vol. 28(3), pages 921-927, May.
    63. Liu, Li & Wang, Yudong & Wan, Jieqiu, 2010. "Analysis of efficiency for Shenzhen stock market: Evidence from the source of multifractality," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 237-241, September.
    64. R. P. Datta, 2023. "Analysis of Indian foreign exchange markets: A Multifractal Detrended Fluctuation Analysis (MFDFA) approach," Papers 2306.16162, arXiv.org.
    65. Wang, Zhongxing & Yan, Yan & Chen, Xiaosong, 2017. "Long-range correlation and market segmentation in bond market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 477-485.
    66. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
    67. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.
    68. Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
    69. Foad Shokrollahi, 2017. "Pricing compound and extendible options under mixed fractional Brownian motion with jumps," Papers 1708.04829, arXiv.org.

  121. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Is the expression H=1/(3-q) valid for real financial data?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 593-602.

    Cited by:

    1. Mulligan, Robert F., 2017. "The multifractal character of capacity utilization over the business cycle: An application of Hurst signature analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 147-152.
    2. Pakrashi, Vikram & Kelly, Joe & Harkin, Julie & Farrell, Aidan, 2013. "Hurst exponent footprints from activities on a large structural system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1803-1817.
    3. Mulligan, Robert F., 2014. "Multifractality of sectoral price indices: Hurst signature analysis of Cantillon effects in disequilibrium factor markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 252-264.

  122. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Characterizing bid–ask prices in the Brazilian equity market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 627-633.

    Cited by:

    1. Ling-Yun He, 2010. "Is Price Behavior Scaling and Multiscaling in a Dealer Market? Perspectives from Multi-Agent Based Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 36(3), pages 263-282, October.
    2. Marco Bartolozzi, 2010. "A Multi Agent Model for the Limit Order Book Dynamics," Papers 1005.0182, arXiv.org, revised Oct 2010.

  123. Lima, Eduardo Jose Araújo & Tabak, Benjamin Miranda, 2007. "Testing for inefficiency in emerging markets exchange rates," Chaos, Solitons & Fractals, Elsevier, vol. 33(2), pages 617-622.

    Cited by:

    1. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    2. Shyh-wei Chen, 2009. "Random walks in asian foreign exchange markets:evidence from new multiple variance ratio tests," Economics Bulletin, AccessEcon, vol. 29(2), pages 1296-1307.
    3. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.
    4. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    5. Alia Afzal & Philipp Sibbertsen, 2023. "Long Memory, Spurious Memory: Persistence in Range-Based Volatility of Exchange Rates," Open Economies Review, Springer, vol. 34(4), pages 789-811, September.
    6. Stošić, Darko & Stošić, Dusan & Stošić, Tatijana & Stanley, H. Eugene, 2015. "Multifractal analysis of managed and independent float exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 13-18.
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    9. Corzo, Teresa & Martin-Bujack, Karin & Portela, Jose & Rodríguez-Gallego, Alejandro, 2025. "Exchange rate regime changes and market efficiency: An event study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 100(C).
    10. Vogl, Markus & Kojić, Milena & Sharma, Abhishek & Stanisic, Nikola, 2025. "Decoding financial markets: Empirical DGPs as the key to model selection and forecasting excellence – A proof of concept," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
    11. Afees A. Salisu & Taofeek O. Ayinde, 2016. "Testing the Martingale Difference Hypothesis (MDH) with Structural Breaks: Evidence from Foreign Exchanges of Nigeria and South Africa," Journal of African Business, Taylor & Francis Journals, vol. 17(3), pages 342-359, September.

  124. Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Are implied volatilities more informative? The Brazilian real exchange rate case," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 569-576.

    Cited by:

    1. Krylova, Elizaveta & Nikkinen, Jussi & Vähämaa, Sami, 2009. "Cross-dynamics of volatility term structures implied by foreign exchange options," Journal of Economics and Business, Elsevier, vol. 61(5), pages 355-375, September.
    2. Roland Fuss & Ferdinand Mager & Holger Wohlenberg & Lu Zhao, 2011. "The impact of macroeconomic announcements on implied volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 21(21), pages 1571-1580.
    3. Tseng-Chan Tseng & Hung-Cheng Lai & Cha-Fei Lin, 2012. "The impact of overnight returns on realized volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 357-364, March.
    4. Ariful Hoque & Chandrasekhar Krishnamurti, 2012. "Modeling moneyness volatility in measuring exchange rate volatility," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 8(4), pages 365-380, September.

  125. Marcos Massaki Abe & Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Forecasting Exchange Rate Density Using Parametric Models: the Case of Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 5(1), pages 29-39.
    See citations under working paper version above.
  126. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.

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    5. David, S.A. & Inácio, C.M.C. & Quintino, D.D. & Machado, J.A.T., 2020. "Measuring the Brazilian ethanol and gasoline market efficiency using DFA-Hurst and fractal dimension," Energy Economics, Elsevier, vol. 85(C).
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    8. Meraz, M. & Rodriguez, E. & Femat, R. & Echeverria, J.C. & Alvarez-Ramirez, J., 2015. "Statistical persistence of air pollutants (O3,SO2,NO2 and PM10) in Mexico City," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 202-217.
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    143. Sun, Qi & Xu, Weijun & Xiao, Weilin, 2013. "An empirical estimation for mean-reverting coal prices with long memory," Economic Modelling, Elsevier, vol. 33(C), pages 174-181.
    144. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
    145. Apergis, Nicholas & Katsaiti, Marina-Selini, 2018. "Poverty and the resource curse: Evidence from a global panel of countries," Research in Economics, Elsevier, vol. 72(2), pages 211-223.
    146. Li, Zhihui & Lu, Xinsheng, 2012. "Cross-correlations between agricultural commodity futures markets in the US and China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3930-3941.
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  127. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.

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    1. Lautier, Delphine & Raynaud, Franck, 2011. "Statistical properties of derivatives: A journey in term structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2009-2019.
    2. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    3. Zhongxing Wang & Yan Yan & Xiaosong Chen, 2016. "Long-range Correlation and Market Segmentation in Bond Market," Papers 1610.09812, arXiv.org.
    4. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    5. Mei Choi Chiu & Ling Wang & Hoi Ying Wong, 2025. "Long-range dependent mortality modeling with cointegration," Papers 2503.09377, arXiv.org.
    6. Wang, Xiao-Tian & Yan, Hai-Gang & Tang, Ming-Ming & Zhu, En-Hui, 2010. "Scaling and long-range dependence in option pricing III: A fractional version of the Merton model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 452-458.
    7. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    8. Xiaojing Xi & Rogemar Mamon, 2014. "Capturing the Regime-Switching and Memory Properties of Interest Rates," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 307-337, October.
    9. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    10. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    11. Gu, Rongbao & Chen, Xi & Li, Xinjie, 2014. "Chaos recognition and fractal analysis in the term structure of Shanghai Interbank Offered Rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 101-112.
    12. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    13. Qin, Jing & Lu, Xinsheng & Zhou, Ying & Qu, Ling, 2015. "The effectiveness of China’s RMB exchange rate reforms: An insight from multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 443-454.
    14. Marques, G.O.L.C., 2011. "Empirical aspects of the Whittle-based maximum likelihood method in jointly estimating seasonal and non-seasonal fractional integration parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 8-17.
    15. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    16. Burnecki, Krzysztof & Sikora, Grzegorz, 2017. "Identification and validation of stable ARFIMA processes with application to UMTS data," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 456-466.
    17. Wang, Zhongxing & Yan, Yan & Chen, Xiaosong, 2017. "Long-range correlation and market segmentation in bond market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 477-485.
    18. Ruan, Qingsong & Wang, Yao & Lu, Xinsheng & Qin, Jing, 2016. "Cross-correlations between Baltic Dry Index and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 278-289.

  128. Tabak, Benjamin M., 2007. "Testing for unit root bilinearity in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 261-269.

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    1. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas P�rez-I�igo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi.
    2. Juan Benjamín Duarte Duarte & Katherine Julieth Sierra Su�rez & V�ctor Alfonso Rueda Ortiz, 2015. "Análisis comparativo de eficiencia entre Brasil, México y Estados Unidos," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 7(2), pages 341-357.
    3. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    4. Cajueiro, Daniel O. & Tabak, Benjamin M. & Werneck, Filipe K., 2009. "Can we predict crashes? The case of the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1603-1609.
    5. Wang, Yudong & Liu, Li & Gu, Rongbao, 2009. "Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 271-276, December.
    6. Kumar Narayan, Paresh & Narayan, Seema & Popp, Stephan, 2010. "Energy consumption at the state level: The unit root null hypothesis from Australia," Applied Energy, Elsevier, vol. 87(6), pages 1953-1962, June.
    7. Juan Benjamín Duarte Duarte & Juan Manuel Mascare�as P�rez-I�igo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia.

  129. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and market structure," Chaos, Solitons & Fractals, Elsevier, vol. 31(4), pages 995-1000.

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    1. Foad Shokrollahi, 2017. "The valuation of European option with transaction costs by mixed fractional Merton model," Papers 1702.00152, arXiv.org.
    2. Harrouni, S. & Guessoum, A., 2009. "Using fractal dimension to quantify long-range persistence in global solar radiation," Chaos, Solitons & Fractals, Elsevier, vol. 41(3), pages 1520-1530.
    3. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    4. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    5. Jonathan A. Batten & Cetin Ciner & Brian M. Lucey & Peter G. Szilagyi, 2013. "The structure of gold and silver spread returns," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 561-570, March.
    6. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    7. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    8. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    9. Batten, Jonathan A. & Ellis, Craig A. & Fethertson, Thomas A., 2008. "Sample period selection and long-term dependence: New evidence from the Dow Jones index," Chaos, Solitons & Fractals, Elsevier, vol. 36(5), pages 1126-1140.
    10. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    11. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    12. Wang, Xiao-Tian & Zhu, En-Hui & Tang, Ming-Ming & Yan, Hai-Gang, 2010. "Scaling and long-range dependence in option pricing II: Pricing European option with transaction costs under the mixed Brownian–fractional Brownian model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 445-451.
    13. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    14. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    15. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.

  130. L. Zunino & B. M. Tabak & D. G. Pérez & M. Garavaglia & O. A. Rosso, 2007. "Inefficiency in Latin-American market indices," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 60(1), pages 111-121, November.

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    1. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    2. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    3. Molero González, Laura & Cerqueti, Roy & Mattera, Raffaele & Sánchez Granero, Miguel Ángel & Trinidad Segovia, Juan Evangelista, 2025. "Analyzing clustered factors in the cryptocurrency market with Random Matrix Theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 665(C).
    4. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    5. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    6. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    7. Luiz G. A. Alves & Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2020. "Collective dynamics of stock market efficiency," Papers 2011.14809, arXiv.org.
    8. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2010. "Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1891-1901.
    9. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    10. de Resende, Charlene C. & Pereira, Adriano C.M. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2017. "Investigating market efficiency through a forecasting model based on differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 199-212.
    11. Garcia, M.M. & Machado Pereira, A.C. & Acebal, J.L. & Bosco de Magalhães, A.R., 2020. "Forecast model for financial time series: An approach based on harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    12. Juan Benjamin Duarte Duarte & Katherine Julieth Sierra Suarez & Juan Manuel Mascarenas Perez-Inigo, 2014. "Evaluation Of Long-Term Memory In Colombian Stock Market By Hurst Coefficient, Evaluacion De La Memoria De Largo Plazo Del Mercado Bursatil Colombiano Mediante El Coeficiente De Hurst," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 7(4), pages 1-10.
    13. Karen Balladares & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Angel Sánchez-Granero, 2021. "Statistical Arbitrage in Emerging Markets: A Global Test of Efficiency," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
    14. Vogl, Markus, 2023. "Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framework," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    15. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    16. Sánchez-Granero, M.A. & Balladares, K.A. & Ramos-Requena, J.P. & Trinidad-Segovia, J.E., 2020. "Testing the efficient market hypothesis in Latin American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    17. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    18. A. Gómez-Águila & J. E. Trinidad-Segovia & M. A. Sánchez-Granero, 2022. "Improvement in Hurst exponent estimation and its application to financial markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    19. Zunino, Luciano & Figliola, Alejandra & Tabak, Benjamin M. & Pérez, Darío G. & Garavaglia, Mario & Rosso, Osvaldo A., 2009. "Multifractal structure in Latin-American market indices," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2331-2340.
    20. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2009. "Forbidden patterns, permutation entropy and stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2854-2864.
    21. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    22. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    23. Fonseca, Carla L.G. & de Resende, Charlene C. & Fernandes, Danilo H.C. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2021. "Is the choice of the candlestick dimension relevant in econophysics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    24. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.

  131. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for rational bubbles in banking indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 365-376.

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    1. Cajueiro, Daniel O. & Tabak, Benjamin M. & Werneck, Filipe K., 2009. "Can we predict crashes? The case of the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1603-1609.
    2. Lahmiri, Salim, 2017. "Asymmetric and persistent responses in price volatility of fertilizers through stable and unstable periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 405-414.
    3. KIRKPINAR, Aysegul & ERER, Elif & ERER, Deniz, 2019. "Is There A Rational Bubble In Bist 100 And Sector Indices?," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(3), pages 21-33, September.
    4. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
    5. Matsushita, Raul & Figueiredo, Annibal & Da Silva, Sergio, 2012. "A suggested statistical test for measuring bivariate nonlinear dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4891-4898.
    6. Marcelo M. de Oliveira & Alexandre C. L. Almeida, 2014. "Testing for rational speculative bubbles in the Brazilian residential real-estate market," Papers 1401.7615, arXiv.org.

  132. Benjamin M. Tabak, 2006. "The Dynamic Relationship Between Stock Prices And Exchange Rates: Evidence For Brazil," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(08), pages 1377-1396.
    See citations under working paper version above.
  133. Daniel Cajueiro & Benjamin Tabak, 2006. "The long-range dependence phenomena in asset returns: the Chinese case," Applied Economics Letters, Taylor & Francis Journals, vol. 13(2), pages 131-133.

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    1. Bariviera, Aurelio F., 2017. "The inefficiency of Bitcoin revisited: A dynamic approach," Economics Letters, Elsevier, vol. 161(C), pages 1-4.
    2. Tzouras, Spilios & Anagnostopoulos, Christoforos & McCoy, Emma, 2015. "Financial time series modeling using the Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 425(C), pages 50-68.
    3. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
    4. Tan, Pei P. & Galagedera, Don U.A. & Maharaj, Elizabeth A., 2012. "A wavelet based investigation of long memory in stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2330-2341.
    5. Fifield, Suzanne G.M. & Jetty, Juliana, 2008. "Further evidence on the efficiency of the Chinese stock markets: A note," Research in International Business and Finance, Elsevier, vol. 22(3), pages 351-361, September.
    6. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    7. Cevik, Emrah Ismail, 2012. "İstanbul Menkul Kıymetler Borsası’nda etkin piyasa hipotezinin uzun hafıza modelleri ile analizi: sektörel bazda bir inceleme [The testing of efficient market hypothesis in the Istanbul Stock Exchange by using long memory models: a sector-specific," MPRA Paper 71484, University Library of Munich, Germany, revised 2012.
    8. Aurelio F. Bariviera & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "A permutation Information Theory tour through different interest rate maturities: the Libor case," Papers 1509.00217, arXiv.org.
    9. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    10. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    11. Anagnostidis, Panagiotis & Emmanouilides, Christos J., 2015. "Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 473-487.
    12. Korkmaz, Turhan & Cevik, Emrah Ismail & Özataç, Nesrin, 2009. "Testing for long memory in ISE using Arfima-Figarch model and structural break test," MPRA Paper 71302, University Library of Munich, Germany.
    13. Yan, Isabel K. & Chong, Terence & Lam, Tau-Hing, 2011. "Is the Chinese Stock Market Really Efficient," MPRA Paper 35219, University Library of Munich, Germany.
    14. Ezzat, Hassan, 2013. "Long Memory Processes and Structural Breaks in Stock Returns and Volatility: Evidence from the Egyptian Exchange," MPRA Paper 51465, University Library of Munich, Germany.

  134. Tabak, Benjamin M. & Cajueiro, Daniel O., 2006. "Assessing inefficiency in euro bilateral exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 319-327.

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    1. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    2. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    3. Dutta, Srimonti & Ghosh, Dipak & Samanta, Shukla, 2014. "Multifractal detrended cross-correlation analysis of gold price and SENSEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 195-204.
    4. Stanisław Drożdż & Ludovico Minati & Paweł Oświȩcimka & Marek Stanuszek & Marcin Wa̧torek, 2019. "Signatures of the Crypto-Currency Market Decoupling from the Forex," Future Internet, MDPI, vol. 11(7), pages 1-18, July.
    5. Cao, Guangxi & Xu, Longbing & Cao, Jie, 2012. "Multifractal detrended cross-correlations between the Chinese exchange market and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4855-4866.
    6. Gençay, Ramazan & Gradojevic, Nikola, 2010. "Crash of '87 -- Was it expected?: Aggregate market fears and long-range dependence," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 270-282, March.
    7. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    8. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    9. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    10. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    11. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    12. Guangxi Cao, 2012. "Time-Varying Effects of Changes in the Interest Rate and the RMB Exchange Rate on the Stock Market of China: Evidence from the Long-Memory TVP-VAR Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 230-248, July.
    13. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    14. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.

  135. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for predictability in equity returns for European transition markets," Economic Systems, Elsevier, vol. 30(1), pages 56-78, March.

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    1. Dora Almeida & Andreia Dionísio & Paulo Ferreira, 2023. "When two banks fall, how do markets react?," Economics and Business Letters, Oviedo University Press, vol. 12(4), pages 331-341.
    2. Kulikova, Maria V. & Taylor, David R. & Kulikov, Gennady Yu., 2024. "Evolving efficiency of the BRICS markets," Economic Systems, Elsevier, vol. 48(1).
    3. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    4. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    5. Ece C. KARADAGLI & Nazlı C. OMAY, 2012. "Testing Weak Form Market Efficiency Of Emerging Markets: A Nonlinear Approach," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 235-245.
    6. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    7. Marcin Wk{a}torek & Marcin Kr'olczyk & Jaros{l}aw Kwapie'n & Tomasz Stanisz & Stanis{l}aw Dro.zd.z, 2024. "Approaching multifractal complexity in decentralized cryptocurrency trading," Papers 2411.05951, arXiv.org.
    8. Alexandru Todea & Maria Ulici & Simona Silaghi, 2009. "Adaptive Markets Hypothesis - Evidence from Asia-Pacific Financial Markets," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 1(1), pages 007-013, December.
    9. Lim, Kian-Ping & Brooks, Robert D. & Hinich, Melvin J., 2008. "Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 527-544, December.
    10. Vinodh Madhavan & Rakesh Arrawatia, 2016. "Relative Efficiency of G8 Sovereign Credit Default Swaps and Bond Scrips: An Adaptive Market Hypothesis Perspective," Studies in Microeconomics, , vol. 4(2), pages 127-150, December.
    11. Ayedi Ahmed & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2023. "Managing Portfolio Risk During the BREXIT Crisis: A Cross-Quantilogram Analysis of Stock Markets and Commodities Across European Countries, the US, and BRICS," Working Papers halshs-04068651, HAL.
    12. Aneta Dyakova & Graham Smith, 2013. "The evolution of stock market predictability in Bulgaria," Applied Financial Economics, Taylor & Francis Journals, vol. 23(9), pages 805-816, May.
    13. Gu, Rongbao & Shao, Yanmin & Wang, Qingnan, 2013. "Is the efficiency of stock market correlated with multifractality? An evidence from the Shanghai stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 361-370.
    14. Paulo Ferreira, 2020. "Dynamic long-range dependences in the Swiss stock market," Empirical Economics, Springer, vol. 58(4), pages 1541-1573, April.
    15. Velimir Šonje & Denis Alajbeg & Zoran Bubas, 2011. "Efficient market hypothesis: is the Croatian stock market as (in)efficient as the U.S. market," Financial Theory and Practice, Institute of Public Finance, vol. 35(3), pages 301-326.
    16. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Auto-correlated behavior of WTI crude oil volatilities: A multiscale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5759-5768.
    17. Alexandru Todea & Adrian Zoicas-Ienciu & Angela-Maria Filip, 2009. "Profitability of the Moving Average Strategy and the Episodic Dependencies: Empirical Evidence from European Stock," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 63-72.
    18. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    19. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    20. Ladislav Krištoufek, 2010. "Dlouhá paměť a její vývoj ve výnosech burzovního indexu PX v letech 1997-2009 [Long-Term Memory and Its Evolution in Returns of Stock Index PX Between 1997 and 2009]," Politická ekonomie, Prague University of Economics and Business, vol. 2010(4), pages 471-487.
    21. Sensoy, Ahmet & Aras, Guler & Hacihasanoglu, Erk, 2015. "Predictability dynamics of Islamic and conventional equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 222-248.
    22. Boryana Bogdanova & Ivan Ivanov, 2016. "A wavelet-based approach to the analysis and modelling of financial time series exhibiting strong long-range dependence: the case of Southeast Europe," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 655-673, March.
    23. Lazăr, Dorina & Todea, Alexandru & Filip, Diana, 2012. "Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets," Economic Systems, Elsevier, vol. 36(3), pages 338-350.
    24. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    25. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    26. Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
    27. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Multifractality and herding behavior in the Japanese stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 497-504.
    28. Ferreira, Paulo, 2019. "Assessing the relationship between dependence and volume in stock markets: A dynamic analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 90-97.
    29. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    30. Batten, Jonathan A. & Szilagyi, Peter G., 2007. "Covered interest parity arbitrage and temporal long-term dependence between the US dollar and the Yen," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 409-421.
    31. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    32. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    33. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    34. Mubariz Hasanov & Tolga Omay, 2007. "Are the Transition Stock Markets Efficient? Evidence from Non-Linear Unit Root Tests," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 1-12.
    35. Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
    36. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    37. Ferreira, Paulo, 2018. "Efficiency or speculation? A time-varying analysis of European sovereign debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1295-1308.
    38. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Miranda, José G.V. & García-Rubio, Raquel, 2013. "How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1631-1637.
    39. Paulo Ferreira & Luís Carlos Loures, 2020. "An Econophysics Study of the S&P Global Clean Energy Index," Sustainability, MDPI, vol. 12(2), pages 1-9, January.
    40. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    41. Aneta Dyakova & Graham Smith, 2013. "Bulgarian stock market relative predictability: BSE-Sofia stocks and South East European markets," Applied Financial Economics, Taylor & Francis Journals, vol. 23(15), pages 1257-1271, August.
    42. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    43. Wang, Yudong & Wu, Chongfeng & Wei, Yu, 2011. "Can GARCH-class models capture long memory in WTI crude oil markets?," Economic Modelling, Elsevier, vol. 28(3), pages 921-927, May.
    44. Alexandru Todea & Dorina Lazar, 2012. "Global Crisis and Relative Efficiency: Empirical Evidence from Central and Eastern European Stock Markets," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 045-053, June.
    45. Phooi M’ng, Jacinta Chan, 2018. "Dynamically Adjustable Moving Average (AMA’) technical analysis indicator to forecast Asian Tigers’ futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 336-345.
    46. Ferreira, Paulo & Quintino, Derick & Wundervald, Bruna & Dionísio, Andreia & Aslam, Faheem & Cantarinha, Ana, 2021. "Is Brazilian music getting more predictable? A statistical physics approach for different music genres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).

  136. Souza, Sergio R.S. & Tabak, Benjamin M. & Cajueiro, Daniel O., 2006. "Investigação da Memória de Longo Prazo na Taxa de Câmbio no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 60(2), November.
    See citations under working paper version above.
  137. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for long range dependence in banking equity indices," Chaos, Solitons & Fractals, Elsevier, vol. 26(5), pages 1423-1428.

    Cited by:

    1. Nafis Alam & Shaista Arshad & Syed Aun R. Rizvi, 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 108-114, November.
    2. Yin, Xin-An & Yang, Xiao-Hua & Yang, Zhi-Feng, 2009. "Using the R/S method to determine the periodicity of time series," Chaos, Solitons & Fractals, Elsevier, vol. 39(2), pages 731-745.
    3. Imen Zgueb Rejichi & Chaker Aloui & Duc Khuong Nguyen, 2014. "Assessing the efficiency of the MENA emerging stock markets: A sectoral perspective," Working Papers 2014-78, Department of Research, Ipag Business School.
    4. Pece Andreea Maria & Ludusan (Corovei) Emilia Anuta & Mutu Simona, 2013. "Testing The Long Range-Dependence For The Central Eastern European And The Balkans Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1113-1124, July.
    5. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    6. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Multifractality and herding behavior in the Japanese stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 497-504.
    7. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    8. Nguyen, Dung Tien, 2012. "Mackey–Glass equation driven by fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5465-5472.
    9. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.

  138. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Possible causes of long-range dependence in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(3), pages 635-645.

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    1. González-Pla, Francisco & Lovreta, Lidija, 2019. "Persistence in firm’s asset and equity volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Characterizing bid–ask prices in the Brazilian equity market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 627-633.
    3. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    4. Lisana B. Martinez & M. Belen Guercio & Aurelio F. Bariviera & Antonio Terce~no, 2016. "The impact of the financial crisis on the long-range memory of European corporate bond and stock markets," Papers 1605.06700, arXiv.org.
    5. Lahmiri, Salim, 2015. "Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 130-138.
    6. M. Bel'en Arouxet & Aurelio F. Bariviera & Ver'onica E. Pastor & Victoria Vampa, 2020. "Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent," Papers 2009.05652, arXiv.org.
    7. Bernardo Alves Furtado & Patrícia Alessandra Morita Sakowski & Marina Haddad Tóvolli, 2015. "A Complexity Approach for Public Policies," Discussion Papers 0205, Instituto de Pesquisa Econômica Aplicada - IPEA.
    8. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    9. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    10. Dilip Kumar & S. Maheswaran, 2015. "Long memory in Indian exchange rates: an application of power-law scaling analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 90-107, July.
    11. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    12. Carpinteyro, Martha & Venegas-Martínez, Francisco & Martínez-García, Miguel Ángel, 2018. "Modeling Returns of Stock Indexes through Fractional Brownian Motion Combined with Jump Processes and Modulated by Markov Chains," MPRA Paper 90549, University Library of Munich, Germany.
    13. Tan, Pei P. & Galagedera, Don U.A. & Maharaj, Elizabeth A., 2012. "A wavelet based investigation of long memory in stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2330-2341.
    14. Boainain, Pedro G. & Valls Pereira, Pedro L., 2009. "“Ombro-Cabeça-Ombro”: Testando a Lucratividade do Padrão Gráfico de Análise Técnica no Mercado de Ações Brasileiro [Head and Shoulder: testing the profitability of graphic pattern of technical analysis for the Brazilian Stock Exchange]," MPRA Paper 15653, University Library of Munich, Germany.
    15. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    16. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    17. Carpinteyro, Martha & Venegas Martínez, Francisco & Martínez García, Miguel Ángel, 2019. "Modelado de rendimientos de índices bursátiles mediante movimiento fraccional browniano combinado con procesos de saltos y modulado por cadenas de Markov / Modeling Returns of Stock Indexes through Fractional Brownian Motion Combined with Jump Proces," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 9(2), pages 163-180, julio-dic.
    18. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    19. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    20. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Nicholas Kilimani & Amandine Nakumuryango & Siobhan Redford, 2012. "Predicting BRICS Stock Returns Using ARFIMA Models," Working Papers 201235, University of Pretoria, Department of Economics.
    21. Bhandari, Avishek, 2020. "Long memory and fractality among global equity markets: A multivariate wavelet approach," MPRA Paper 99653, University Library of Munich, Germany.
    22. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    23. Aditi Singh & Madhumita Chakraborty, 2017. "Examining Efficiencies of Indian ADRs and their Underlying Stocks," Global Business Review, International Management Institute, vol. 18(1), pages 144-162, February.

  139. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for time-varying long-range dependence in volatility for emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 577-588.

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    1. Mensi, Walid & Tiwari, Aviral Kumar & Yoon, Seong-Min, 2017. "Global financial crisis and weak-form efficiency of Islamic sectoral stock markets: An MF-DFA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 135-146.
    2. Khuntia, Sashikanta & Pattanayak, J.K., 2020. "Adaptive long memory in volatility of intra-day bitcoin returns and the impact of trading volume," Finance Research Letters, Elsevier, vol. 32(C).
    3. Maciel, Leandro, 2021. "A new approach to portfolio management in the Brazilian equity market: Does assets efficiency level improve performance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 38-56.
    4. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and multifractality in the term structure of LIBOR interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 603-614.
    5. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    6. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    7. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    8. Liu, Li & Wang, Yudong, 2014. "Cross-correlations between spot and futures markets of nonferrous metals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 20-30.
    9. Mitra, S.K. & Bawa, Jaslene, 2017. "Can trade opportunities and returns be generated in a trend persistent series? Evidence from global indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 124-135.
    10. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    11. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
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    32. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    33. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    34. Wang, Yudong & Wu, Chongfeng, 2012. "Long memory in energy futures markets: Further evidence," Resources Policy, Elsevier, vol. 37(3), pages 261-272.
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    36. Ruan, Qingsong & Zhou, Mi & Yin, Linsen & Lv, Dayong, 2021. "Hedging effectiveness of Chinese Treasury bond futures: New evidence based on nonlinear analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    37. Lin, Xiaoqiang & Tang, Zhenpeng & Fei, Fangyu, 2013. "Testing for relationships between Shanghai and Shenzhen stock markets: A threshold cointegration perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4064-4074.
    38. Kumar, Dilip, 2014. "Long range dependence in the high frequency USD/INR exchange rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 396(C), pages 134-148.
    39. Ruan, Qingsong & Bao, Junjie & Zhang, Manqian & Fan, Limin, 2019. "The effects of exchange rate regime reform on RMB markets: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 122-134.
    40. Batten, Jonathan A. & Ellis, Craig A. & Hogan, Warren P., 2005. "Decomposing intraday dependence in currency markets: evidence from the AUD/USD spot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 352(2), pages 558-572.
    41. Aloui, Chaker & Shahzad, Syed Jawad Hussain & Jammazi, Rania, 2018. "Dynamic efficiency of European credit sectors: A rolling-window multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 337-349.
    42. Wang, Gang-Jin & Xie, Chi, 2013. "Cross-correlations between Renminbi and four major currencies in the Renminbi currency basket," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1418-1428.
    43. Aslam, Faheem & Zil-e-huma, & Bibi, Rashida & Ferreira, Paulo, 2022. "Cross-correlations between economic policy uncertainty and precious and industrial metals: A multifractal cross-correlation analysis," Resources Policy, Elsevier, vol. 75(C).
    44. Liu, Li & Ma, Guofeng, 2014. "Cross-correlation between crude oil and refined product prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 284-293.
    45. Hartmann, András & Mukli, Péter & Nagy, Zoltán & Kocsis, László & Hermán, Péter & Eke, András, 2013. "Real-time fractal signal processing in the time domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 89-102.
    46. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Multifractality and herding behavior in the Japanese stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 497-504.
    47. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    48. Kang, Sang Hoon & Jiang, Zhuhua & Lee, Yeonjeong & Yoon, Seong-Min, 2010. "Weather effects on the returns and volatility of the Shanghai stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 91-99.
    49. Owusu Junior, Peterson & Alagidede, Imhotep, 2020. "Risks in emerging markets equities: Time-varying versus spatial risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    50. Rodriguez, E. & Aguilar-Cornejo, M. & Femat, R. & Alvarez-Ramirez, J., 2014. "US stock market efficiency over weekly, monthly, quarterly and yearly time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 554-564.
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    52. Cajueiro, Daniel O. & Gogas, Periklis & Tabak, Benjamin M., 2009. "Does financial market liberalization increase the degree of market efficiency? The case of the Athens stock exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 50-57, March.
    53. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    54. Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.
    55. Todea, Alexandru, 2016. "Cross-correlations between volatility, volatility persistence and stock market integration: the case of emergent stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 208-215.
    56. Wang, Yudong & Wu, Chongfeng, 2012. "What can we learn from the history of gasoline crack spreads?: Long memory, structural breaks and modeling implications," Economic Modelling, Elsevier, vol. 29(2), pages 349-360.
    57. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.
    58. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    59. Zunino, Luciano & Figliola, Alejandra & Tabak, Benjamin M. & Pérez, Darío G. & Garavaglia, Mario & Rosso, Osvaldo A., 2009. "Multifractal structure in Latin-American market indices," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2331-2340.
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    70. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
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    2. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2008. "The Relationship between Risk-Return Trade-Off and Productive Efficiency: Evidence from Malaysia Banking Sector," MPRA Paper 61817, University Library of Munich, Germany.
    3. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.

  141. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "The rescaled variance statistic and the determination of the Hurst exponent," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 70(3), pages 172-179.

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    2. Li, Wen & Yu, Cindy & Carriquiry, Alicia & Kliemann, Wolfgang, 2011. "The asymptotic behavior of the R/S statistic for fractional Brownian motion," Statistics & Probability Letters, Elsevier, vol. 81(1), pages 83-91, January.
    3. Rodríguez-Aguilar, Román & Cruz-Aké, Salvador & Venegas-Martínez, Francisco, 2014. "A Measure of Early Warning of Exchange-Rate Crises Based on the Hurst Coefficient and the Αlpha-Stable Parameter," MPRA Paper 59046, University Library of Munich, Germany.
    4. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    5. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for long-range dependence in world stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 37(3), pages 918-927.
    6. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    7. Zhi-Qiang Jiang & Wen-Jie Xie & Wei-Xing Zhou, 2012. "Testing the weak-form efficiency of the WTI crude oil futures market," Papers 1211.4686, arXiv.org.
    8. Daniel Oliveira Cajueiro & Benjamin M. Tabak, 2010. "Fluctuation Dynamics in US Interest Rates and the Role of Monetary Policy," Working Papers Series 206, Central Bank of Brazil, Research Department.
    9. Ding, Liang & Luo, Yi & Lin, Yan & Huang, Yirong, 2021. "Revisiting the relations between Hurst exponent and fractional differencing parameter for long memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    10. Guo, Wenjing & Li, Sijie & Xing, Mengyue & Lin, Shengyao, 2023. "Evaluation of the operational quality of China's grain futures market based on the comprehensive information weighting method," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 467-482.
    11. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Is the expression H=1/(3-q) valid for real financial data?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 593-602.

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    2. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    3. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    4. Kang, Sang Hoon & Yoon, Seong-Min, 2008. "Long memory features in the high frequency data of the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5189-5196.
    5. Boainain, Pedro G. & Valls Pereira, Pedro L., 2009. "“Ombro-Cabeça-Ombro”: Testando a Lucratividade do Padrão Gráfico de Análise Técnica no Mercado de Ações Brasileiro [Head and Shoulder: testing the profitability of graphic pattern of technical analysis for the Brazilian Stock Exchange]," MPRA Paper 15653, University Library of Munich, Germany.
    6. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Miranda, José G.V. & García-Rubio, Raquel, 2013. "How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1631-1637.

  143. Tabak, Benjamin M. & Cajueiro, Daniel O., 2005. "The long-range dependence behavior of the term structure of interest rates in Japan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 418-426.

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    2. Xiao, Wei-Lin & Zhang, Wei-Guo & Zhang, Xili & Zhang, Xiaoli, 2012. "Pricing model for equity warrants in a mixed fractional Brownian environment and its algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6418-6431.
    3. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and multifractality in the term structure of LIBOR interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 603-614.
    4. Jian Pan & Xiangying Zhou, 2017. "Pricing for options in a mixed fractional Hull–White interest rate model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-15, March.
    5. Wang, Xiao-Tian, 2010. "Scaling and long range dependence in option pricing, IV: Pricing European options with transaction costs under the multifractional Black–Scholes model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 789-796.
    6. Yin, Xin-An & Yang, Xiao-Hua & Yang, Zhi-Feng, 2009. "Using the R/S method to determine the periodicity of time series," Chaos, Solitons & Fractals, Elsevier, vol. 39(2), pages 731-745.
    7. Wang, Xiao-Tian & Wu, Min & Zhou, Ze-Min & Jing, Wei-Shu, 2012. "Pricing European option with transaction costs under the fractional long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1469-1480.
    8. Wang, Xiao-Tian, 2011. "Scaling and long-range dependence in option pricing V: Multiscaling hedging and implied volatility smiles under the fractional Black–Scholes model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1623-1634.
    9. Zhongxing Wang & Yan Yan & Xiaosong Chen, 2016. "Long-range Correlation and Market Segmentation in Bond Market," Papers 1610.09812, arXiv.org.
    10. Foad Shokrollahi & Marcin Marcin Magdziarz, 2020. "Equity warrant pricing under subdiffusive fractional Brownian motion of the short rate," Papers 2007.12228, arXiv.org, revised Nov 2020.
    11. Xiao, Weilin & Zhang, Weiguo & Xu, Weijun & Zhang, Xili, 2012. "The valuation of equity warrants in a fractional Brownian environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1742-1752.
    12. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    13. Wang, Xiao-Tian & Yan, Hai-Gang & Tang, Ming-Ming & Zhu, En-Hui, 2010. "Scaling and long-range dependence in option pricing III: A fractional version of the Merton model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 452-458.
    14. Cai, Chunhao & Cheng, Xuwen & Xiao, Weilin & Wu, Xiang, 2019. "Parameter identification for mixed fractional Brownian motions with the drift parameter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    15. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    16. Xiao, Weilin & Zhang, Weiguo & Zhang, Xili & Chen, Xiaoyan, 2014. "The valuation of equity warrants under the fractional Vasicek process of the short-term interest rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 320-337.
    17. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    18. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    19. Nguyen, Dung Tien, 2012. "Mackey–Glass equation driven by fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5465-5472.
    20. Daniel Oliveira Cajueiro & Benjamin M. Tabak, 2010. "Fluctuation Dynamics in US Interest Rates and the Role of Monetary Policy," Working Papers Series 206, Central Bank of Brazil, Research Department.
    21. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    22. Lee, Sangwook & Kim, Min Jae & Kim, Soo Yong, 2011. "Interest rates factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2531-2548.
    23. Zhang, Xili & Xiao, Weilin, 2017. "Arbitrage with fractional Gaussian processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 620-628.
    24. Gu, Rongbao & Chen, Xi & Li, Xinjie, 2014. "Chaos recognition and fractal analysis in the term structure of Shanghai Interbank Offered Rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 101-112.
    25. Guangxi Cao, 2012. "Time-Varying Effects of Changes in the Interest Rate and the RMB Exchange Rate on the Stock Market of China: Evidence from the Long-Memory TVP-VAR Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 230-248, July.
    26. Selçuk BAYRACI, 2017. "Long-memory, self-similarity and scaling of the long-term government bond yields: Evidence from Turkey and the USA," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(612), A), pages 71-82, Autumn.
    27. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    28. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
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    31. Gerlich, Nikolas & Rostek, Stefan, 2015. "Estimating serial correlation and self-similarity in financial time series—A diversification approach with applications to high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 84-98.
    32. Khaled Mokni & Manel Youssef, 2020. "Empirical analysis of the cross‐interdependence between crude oil and agricultural commodity markets," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 635-654, October.
    33. Wang, Zhongxing & Yan, Yan & Chen, Xiaosong, 2017. "Long-range correlation and market segmentation in bond market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 477-485.
    34. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.

  144. Cajueiro, Daniel O. & Tabak, Benjamin M., 2004. "Evidence of long range dependence in Asian equity markets: the role of liquidity and market restrictions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 656-664.

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    1. Dora Almeida & Andreia Dionísio & Paulo Ferreira, 2023. "When two banks fall, how do markets react?," Economics and Business Letters, Oviedo University Press, vol. 12(4), pages 331-341.
    2. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    3. Ivani Bora & Naliniprava Tripathy, 2016. "Random or Deterministic? Evidence from Indian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1716-1721.
    4. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    5. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    6. Qin, Jing & Ge, Jintian & Lu, Xinsheng, 2018. "The effectiveness of the monetary policy in China: New evidence from long-range cross-correlation analysis and the components of multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1026-1037.
    7. Li, Shuping & Lu, Xinsheng & Liu, Xinghua, 2020. "Dynamic relationship between Chinese RMB exchange rate index and market anxiety: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    8. Graham Smith & Aneta Dyakova, 2014. "African Stock Markets: Efficiency and Relative Predictability," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 258-275, June.
    9. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    10. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    11. Mejra Festic & Alenka Kavkler & Silvo Dajcman, 2012. "Long memory in the Croatian and Hungarian stock market returns," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 115-139.
    12. Charfeddine, Lanouar & Khediri, Karim Ben, 2016. "Time varying market efficiency of the GCC stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 487-504.
    13. Wang, Xiao-Tian, 2010. "Scaling and long range dependence in option pricing, IV: Pricing European options with transaction costs under the multifractional Black–Scholes model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 789-796.
    14. Zhuang, Xiaoyang & Wei, Yu & Zhang, Bangzheng, 2014. "Multifractal detrended cross-correlation analysis of carbon and crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 113-125.
    15. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    16. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    17. Li, Jianfeng & Lu, Xinsheng & Zhou, Ying, 2016. "Cross-correlations between crude oil and exchange markets for selected oil rich economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 131-143.
    18. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas P�rez-I�igo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi.
    19. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    20. Ma, Feng & Wei, Yu & Huang, Dengshi & Zhao, Lin, 2013. "Cross-correlations between West Texas Intermediate crude oil and the stock markets of the BRIC," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5356-5368.
    21. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    22. Zhenzhong Fan & Xing Chen, 2024. "The Impact of Unconventional Monetary Policy on China’s Economic and Financial Cycle: Application of a Structural Vector Autoregression Model Based on High-Frequency Data," Mathematics, MDPI, vol. 12(13), pages 1-25, June.
    23. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and market structure," Chaos, Solitons & Fractals, Elsevier, vol. 31(4), pages 995-1000.
    24. Jebabli, Ikram & Roubaud, David, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Economic Modelling, Elsevier, vol. 70(C), pages 97-114.
    25. Gajardo, Gabriel & Kristjanpoller, Werner, 2017. "Asymmetric multifractal cross-correlations and time varying features between Latin-American stock market indices and crude oil market," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 121-128.
    26. Gu, Rongbao & Shao, Yanmin & Wang, Qingnan, 2013. "Is the efficiency of stock market correlated with multifractality? An evidence from the Shanghai stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 361-370.
    27. Wang, Xiao-Tian, 2011. "Scaling and long-range dependence in option pricing V: Multiscaling hedging and implied volatility smiles under the fractional Black–Scholes model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1623-1634.
    28. Lu, Xinsheng & Sun, Xinxin & Ge, Jintian, 2017. "Dynamic relationship between Japanese Yen exchange rates and market anxiety: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 144-161.
    29. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2010. "Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1891-1901.
    30. Yuchen An & Kunliang Jiang & Jiashan Song, 2023. "Does a Cross-Correlation of Economic Policy Uncertainty with China’s Carbon Market Really Exist? A Perspective on Fractal Market Hypothesis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    31. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    32. Almeida, Dora & Ferreira, Paulo & Dionísio, Andreia & Aslam, Faheem, 2025. "Exploring the connection between geopolitical risks and energy markets," Energy Economics, Elsevier, vol. 141(C).
    33. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    34. Dilip Kumar & S. Maheswaran, 2015. "Long memory in Indian exchange rates: an application of power-law scaling analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 90-107, July.
    35. Ruan, Qingsong & Jiang, Wei & Ma, Guofeng, 2016. "Cross-correlations between price and volume in Chinese gold markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 10-22.
    36. Tripathy, Naliniprava, 2022. "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    37. Bariviera, Aurelio F. & Basgall, María José & Hasperué, Waldo & Naiouf, Marcelo, 2017. "Some stylized facts of the Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 82-90.
    38. Kang, Sang Hoon & Yoon, Seong-Min, 2008. "Long memory features in the high frequency data of the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5189-5196.
    39. Yunchuan Sun & Lu Liu & Ying Xu & Xiaoping Zeng & Yufeng Shi & Haifeng Hu & Jie Jiang & Ajith Abraham, 2024. "Alternative data in finance and business: emerging applications and theory analysis (review)," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    40. Pece Andreea Maria & Ludusan (Corovei) Emilia Anuta & Mutu Simona, 2013. "Testing The Long Range-Dependence For The Central Eastern European And The Balkans Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1113-1124, July.
    41. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    42. Li, Shuping & Lu, Xinsheng & Li, Jianfeng, 2021. "Cross-correlations between the P2P interest rate, Shibor and treasury yields," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    43. Li, Wei & Lu, Xinsheng & Ren, Yongping & Zhou, Ying, 2018. "Dynamic relationship between RMB exchange rate index and stock market liquidity: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 726-739.
    44. Xu, Yanyan & Huang, Dengshi & Ma, Feng & Qiao, Gaoxiu, 2019. "Liquidity and realized range-based volatility forecasting: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1102-1113.
    45. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying, 2012. "Price–volume multifractal analysis and its application in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3484-3495.
    46. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    47. Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
    48. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    49. Ma, Feng & Wei, Yu & Huang, Dengshi, 2013. "Multifractal detrended cross-correlation analysis between the Chinese stock market and surrounding stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1659-1670.
    50. Hernández-Pérez, R., 2012. "Allan deviation analysis of financial return series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(9), pages 2883-2888.
    51. Rodriguez, E. & Aguilar-Cornejo, M. & Femat, R. & Alvarez-Ramirez, J., 2014. "US stock market efficiency over weekly, monthly, quarterly and yearly time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 554-564.
    52. Li, Yiying & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2023. "Vulnerability of sustainable markets to fossil energy shocks," Resources Policy, Elsevier, vol. 85(PB).
    53. Juan Benjamín Duarte Duarte & Juan Manuel Mascare�as P�rez-I�igo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia.
    54. Vogl, Markus, 2023. "Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framework," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    55. Ferreira, Paulo, 2019. "Assessing the relationship between dependence and volume in stock markets: A dynamic analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 90-97.
    56. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    57. Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.
    58. Wang, Qing & Hu, Yiming, 2015. "Cross-correlation between interest rates and commodity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 80-89.
    59. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    60. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    61. Inacio, C.M.C. & Kristoufek, Ladislav & David, S.A., 2025. "Dynamic price interactions in energy commodities benchmarks: Insights from multifractal analysis during crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
    62. Kristoufek, Ladislav & Vosvrda, Miloslav, 2013. "Measuring capital market efficiency: Global and local correlations structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
    63. Weiqian Zhang & Songsong Li & Zhichang Guo & Yizhe Yang, 2023. "A hybrid forecasting model based on deep learning feature extraction and statistical arbitrage methods for stock trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1729-1749, November.
    64. Chatterjee, Soumya & Mukherjee, Indranil & Barat, P., 2018. "Analysis of the behaviour of the detrended BSE sensex data," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 186-196.
    65. Bariviera, A.F. & Guercio, M. Belén & Martinez, Lisana B., 2012. "A comparative analysis of the informational efficiency of the fixed income market in seven European countries," Economics Letters, Elsevier, vol. 116(3), pages 426-428.
    66. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    67. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    68. Lim, Kian-Ping, 2007. "Ranking market efficiency for stock markets: A nonlinear perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 445-454.
    69. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2009. "Forbidden patterns, permutation entropy and stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2854-2864.
    70. Yang, Liansheng & Zhu, Yingming & Wang, Yudong, 2016. "Multifractal characterization of energy stocks in China: A multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 357-365.
    71. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "The influence of trading volume on market efficiency: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 259-265.
    72. Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
    73. Ailie Charteris & Conrad Alexander Steyn, 2023. "The Bank of Japan’s exchange traded fund purchases: a help or hindrance to market efficiency?," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 225-240, May.
    74. Bariviera, Aurelio Fernández, 2011. "The influence of liquidity on informational efficiency: The case of the Thai Stock Market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4426-4432.
    75. Yalama, Abdullah & Celik, Sibel, 2013. "Real or spurious long memory characteristics of volatility: Empirical evidence from an emerging market," Economic Modelling, Elsevier, vol. 30(C), pages 67-72.
    76. Sensoy, A., 2013. "Time-varying long range dependence in market returns of FEAS members," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 39-45.
    77. Sun, Xinxin & Lu, Xinsheng & Yue, Gongzheng & Li, Jianfeng, 2017. "Cross-correlations between the US monetary policy, US dollar index and crude oil market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 326-344.
    78. Ferreira, Paulo, 2018. "Efficiency or speculation? A time-varying analysis of European sovereign debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1295-1308.
    79. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for long range dependence in banking equity indices," Chaos, Solitons & Fractals, Elsevier, vol. 26(5), pages 1423-1428.
    80. Paulo Ferreira & Luís Carlos Loures, 2020. "An Econophysics Study of the S&P Global Clean Energy Index," Sustainability, MDPI, vol. 12(2), pages 1-9, January.
    81. Fonseca, Carla L.G. & de Resende, Charlene C. & Fernandes, Danilo H.C. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2021. "Is the choice of the candlestick dimension relevant in econophysics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    82. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    83. Abounoori, Esmaiel & Shahrazi, Mahdi & Rasekhi, Saeed, 2012. "An investigation of Forex market efficiency based on detrended fluctuation analysis: A case study for Iran," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3170-3179.
    84. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
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    86. Kwangwon Ahn & Hanwool Jang & Jinu Kim & Inug Ryu, 2024. "COVID-19 and REITs Crash: Predictability and Market Conditions," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1159-1172, March.
    87. Karahan, Cenk C. & Odabaşı, Attila & Tiryaki, C. Sani, 2024. "Wired together: Integration and efficiency in European electricity markets," Energy Economics, Elsevier, vol. 133(C).
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    93. Ferreira, Paulo & Quintino, Derick & Wundervald, Bruna & Dionísio, Andreia & Aslam, Faheem & Cantarinha, Ana, 2021. "Is Brazilian music getting more predictable? A statistical physics approach for different music genres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
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    1. Kulikova, Maria V. & Taylor, David R. & Kulikov, Gennady Yu., 2024. "Evolving efficiency of the BRICS markets," Economic Systems, Elsevier, vol. 48(1).
    2. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    3. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    4. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    5. Gaio, Luiz Eduardo & Stefanelli, Nelson Oliveira & Pimenta, Tabajara & Bonacim, Carlos Alberto Grespan & Gatsios, Rafael Confetti, 2022. "The impact of the Russia-Ukraine conflict on market efficiency: Evidence for the developed stock market," Finance Research Letters, Elsevier, vol. 50(C).
    6. Chin Wen Cheong, 2010. "Estimating the Hurst parameter in financial time series via heuristic approaches," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(2), pages 201-214.
    7. Oluwasegun B. Adekoya, 2021. "Persistence and efficiency of OECD stock markets: linear and nonlinear fractional integration approaches," Empirical Economics, Springer, vol. 61(3), pages 1415-1433, September.
    8. Wang, Yuanyuan & Shang, Pengjian, 2018. "A new measurement of financial time irreversibility based on information measures method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 221-230.
    9. Ghoshray, Atanu & Johnson, Ben, 2010. "Trends in world energy prices," Energy Economics, Elsevier, vol. 32(5), pages 1147-1156, September.
    10. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa & de Oliveira, Wilson & Stosic, Tatijana, 2016. "Foreign exchange rate entropy evolution during financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 233-239.
    11. Alvarez-Ramirez, Jose & Rodriguez, Eduardo, 2021. "A singular value decomposition entropy approach for testing stock market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    12. Maciel, Leandro, 2021. "A new approach to portfolio management in the Brazilian equity market: Does assets efficiency level improve performance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 38-56.
    13. Padha, Vimarsh & Chaubal, Aditi, 2025. "Multiscale foreign exchange dynamics in India: A wavelet approach," International Economics, Elsevier, vol. 184(C).
    14. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    15. Lin, Xiaoqiang & Fei, Fangyu & Wang, Yudong, 2011. "Analysis of the efficiency of the Shanghai stock market: A volatility perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3486-3495.
    16. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    17. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and multifractality in the term structure of LIBOR interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 603-614.
    18. Siew Ann Cheong, 2013. "Econophysics: An Experimental Course for Advanced Undergraduates in the Nanyang Technological University," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 79-99, July.
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    Cited by:

    1. Ruan, Qingsong & Yang, Haiquan & Lv, Dayong & Zhang, Shuhua, 2018. "Cross-correlations between individual investor sentiment and Chinese stock market return: New perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 243-256.
    2. Laurel PASRICHA & Neelam DHANDA, 2022. "The past, the present and the prospective future of efficient market hypothesis: a theoretical and empirical investigation of international stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 89-106, Summer.
    3. Yen-Hsien Lee, 2010. "The Impact Of Deregulation On Stock Market Efficiency," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(2), pages 165-176.
    4. Abdul Haque & Hung-Chun Liu & Fakhar-Un-Nisa, 2011. "Testing the Weak Form Efficiency of Pakistani Stock Market (2000 2010)," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 153-162.
    5. Ume Habibah & Niaz Hussain Ghumro & Manzoor Ali Mirani, 2017. "Testing the Random Walk Hypothesis: A Case of Pakistan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 551-564, July.
    6. Kian-Ping Lim & Robert Brooks, 2009. "On the validity of conventional statistical tests given evidence of nonsynchronous trading and nonlinear dynamics in returns generating process: a further note," Applied Economics Letters, Taylor & Francis Journals, vol. 16(6), pages 649-652.
    7. Jing Hao & Feng He & Feng Ma & Shibo Zhang & Xiaotao Zhang, 2025. "Machine learning vs deep learning in stock market investment: an international evidence," Annals of Operations Research, Springer, vol. 348(1), pages 93-115, May.
    8. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    9. Olwetu Fusthane & Kapingura F M, 2017. "Weak Form Market Efficiency of the Johannesburg Stock Exchange: Pre, During and Post the 2008 Global Financial Crisis," Journal of Economics and Behavioral Studies, AMH International, vol. 9(5), pages 29-42.
    10. Kim, Jae H. & Shamsuddin, Abul, 2008. "Are Asian stock markets efficient? Evidence from new multiple variance ratio tests," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 518-532, June.
    11. Nageri Kamaldeen Ibraheem & Abdulkadir Rihanat Idowu, 2019. "Is the Nigerian Stock Market Efficient? Pre and Post 2007-2009 Meltdown Analysis," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(3), pages 38-63, September.
    12. Amélie Charles & Olivier Darné, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Post-Print hal-00771080, HAL.
    13. Senarathne Chamil W., 2020. "Are Religious Believers Irrational: A Direct Test from an Efficient Market Hypothesis," Financial Sciences. Nauki o Finansach, Sciendo, vol. 25(1), pages 35-53, March.
    14. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
    15. A.S.M. Sohel Azad, 2009. "Efficiency, Cointegration and Contagion in Equity Markets: Evidence from China, Japan and South Korea," Asian Economic Journal, East Asian Economic Association, vol. 23(1), pages 93-118, March.
    16. Kian-Ping Lim & Muzafar Shah Habibullah & Melvin J. Hinich, 2009. "The Weak-form Efficiency of Chinese Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 133-163, May.
    17. Tingting Zhang & Shunbo Yao & Jinna Yu & Assem Abu Hatab & Zhen Liu, 2020. "Effects of China’s Collective Forestland Tenure Reform Policies on Forest Product Firm Values," Land, MDPI, vol. 9(4), pages 1-20, April.
    18. Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
    19. Lim Ming Han & Zaiton Haron & Khairulzan Yahya & Suhaimi Abu Bakar & Mohamad Ngasri Dimon, 2015. "A Stochastic Simulation Framework for the Prediction of Strategic Noise Mapping and Occupational Noise Exposure Using the Random Walk Approach," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-28, April.
    20. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
    21. Christine Lai & Tsung-Chyan Lai, 2009. "Analysing the c-minus-age strategy for life-cycle investing," Applied Economics Letters, Taylor & Francis Journals, vol. 16(7), pages 711-718.
    22. Gao, Jianhao & Tu, Zhenzhou, 2025. "Foreign-funded firms and stock price informativeness: Evidence from Chinese capital markets," International Review of Economics & Finance, Elsevier, vol. 103(C).
    23. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.
    24. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.
    25. Salma Naz & Seema Razaque & Hyder Ali Khuwaja & Niaz Ahmed, 2014. "Validity of EMH; A Case Study of KSE-100 Index," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 1(1), pages 112-126.
    26. Truong Dong Loc & Ger Lanjouw & Robert Lensink, 2010. "Stock-market efficiency in thin-trading markets: the case of the Vietnamese stock market," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3519-3532.
    27. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for predictability in equity returns for European transition markets," Economic Systems, Elsevier, vol. 30(1), pages 56-78, March.
    28. Chuo Chang, 2020. "Dynamic correlations and distributions of stock returns on China's stock markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-6.
    29. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.
    30. Kian-Ping Lim & Robert Brooks, 2009. "Are Chinese stock markets efficient? Further evidence from a battery of nonlinearity tests," Applied Financial Economics, Taylor & Francis Journals, vol. 19(2), pages 147-155.
    31. Lee, Chien-Chiang & Park, Bokyung & Wang, Chih-Wei, 2023. "The effect of asymmetric information disappears: Evidence in share repurchases and market efficiency," Finance Research Letters, Elsevier, vol. 56(C).
    32. Kato, Takao & Long, Cheryl, 2006. "Executive Compensation, Firm Performance, and Corporate Governance in China: Evidence from Firms Listed in the Shanghai and Shenzhen Stock Exchanges," Economic Development and Cultural Change, University of Chicago Press, vol. 54(4), pages 945-983, July.
    33. RIZWAN QAMAR Muhammad & SHEIKH Ali Nawaz, 2014. "Random Walk Behavior Of Emerging Stocks Markets: Evidence From Karachi Stock Exchange," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 9(3), pages 97-106, December.
    34. Pei, Donglin & Hamill, Philip A., 2013. "Do modified audit opinions for Shanghai listed firms convey heterogeneous information?," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 22(1), pages 1-11.
    35. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    36. Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
    37. Dimitrios Koutmos, 2012. "Time-Varying Behavior of Stock Prices, Volatility Dynamics and Beta Risk in Industry Sector Indices of the Shanghai Stock Exchange," Accounting and Finance Research, Sciedu Press, vol. 1(2), pages 109-109, November.
    38. Chiang, Shu-Mei & Lee, Yen-Hsien & Su, Hsin-Mei & Tzou, Yi-Pin, 2010. "Efficiency tests of foreign exchange markets for four Asian Countries," Research in International Business and Finance, Elsevier, vol. 24(3), pages 284-294, September.
    39. Xu, Mingli & Yang, Wei & Huang, Zhixiong, 2021. "Do investor relations matter in the tourism industry? Evidence from public opinions in China," Economic Modelling, Elsevier, vol. 94(C), pages 923-933.
    40. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

  147. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.

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    1. Singh, Jitendra & Ahmad, Wasim & Mishra, Anil, 2019. "Coherence, connectedness and dynamic hedging effectiveness between emerging markets equities and commodity index funds," Resources Policy, Elsevier, vol. 61(C), pages 441-460.
    2. Elaine Y. L. Loh, 2007. "An alternative test for weak form efficiency based on technical analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 17(12), pages 1003-1012.
    3. Eduardo Lima & Benjamin Tabak, 2009. "Tests of Random Walk: A Comparison of Bootstrap Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 365-382, November.
    4. Ming-Ming, Lai & Siok-Hwa, Lau, 2006. "The profitability of the simple moving averages and trading range breakout in the Asian stock markets," Journal of Asian Economics, Elsevier, vol. 17(1), pages 144-170, February.
    5. Jean-Pascal Bassino & Thomas Lagoarde-Segot, 2015. "Informational efficiency in the Tokyo Stock Exchange, 1931–40," Economic History Review, Economic History Society, vol. 68(4), pages 1226-1249, November.
    6. Md. Abu HASAN, 2017. "Efficiency and Volatility of the Stock Market in Bangladesh: A Macroeconometric Analysis," Turkish Economic Review, KSP Journals, vol. 4(2), pages 239-249, June.
    7. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas P�rez-I�igo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi.
    8. Francesco Guidi & Rakesh Gupta, 2011. "Are ASEAN stock market efficient? Evidence from univariate and multivariate variance ratio tests," Discussion Papers in Finance finance:201113, Griffith University, Department of Accounting, Finance and Economics.
    9. Chong, Terence Tai-Leung & Ip, Hugo Tak-Sang, 2009. "Do momentum-based strategies work in emerging currency markets?," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 479-493, September.
    10. Ayedi Ahmed & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2023. "Managing Portfolio Risk During the BREXIT Crisis: A Cross-Quantilogram Analysis of Stock Markets and Commodities Across European Countries, the US, and BRICS," Working Papers halshs-04068651, HAL.
    11. Panha Heng & Scott J. Niblock, 2014. "Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 679-692, December.
    12. Debasish Majumder, 2011. "Asset Pricing when Market Sentiments Regulate Asset-Returns: Evidences from Emerging Markets," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 89-117.
    13. Majumder, Debasish, 2012. "When the market becomes inefficient: Comparing BRIC markets with markets in the USA," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 84-92.
    14. Jean-Pascal Bassino & Thomas Lagoarde-Segot, 2013. "Trading patterns at the Tokyo Stock Exchange, 1931-1940," CEH Discussion Papers 012, Centre for Economic History, Research School of Economics, Australian National University.
    15. Narayan, Paresh Kumar & Ahmed, Huson Ali & Sharma, Susan Sunila & K.P., Prabheesh, 2014. "How profitable is the Indian stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 44-61.
    16. Eero P䴤ri & Mika Vilska, 2014. "Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2851-2872, August.
    17. Nakamura, Tomomichi & Small, Michael, 2007. "Tests of the random walk hypothesis for financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 599-615.
    18. Moreno, David & Olmeda, Ignacio, 2007. "Is the predictability of emerging and developed stock markets really exploitable?," European Journal of Operational Research, Elsevier, vol. 182(1), pages 436-454, October.
    19. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
    20. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.
    21. Conover, C. Mitchell & Jensen, Gerald R. & Johnson, Robert R. & Szakmary, Andrew C., 2017. "Emerging markets: Is the trend still your friend?," Global Finance Journal, Elsevier, vol. 32(C), pages 128-148.
    22. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Yin-Jie Ma & Zhi-Qiang Jiang & Wei-Xing Zhou, 2025. "Multifractal characteristics and return predictability in the Chinese stock markets," Annals of Operations Research, Springer, vol. 352(3), pages 415-440, September.
    23. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Multifractality and herding behavior in the Japanese stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 497-504.
    24. Boainain, Pedro G. & Valls Pereira, Pedro L., 2009. "“Ombro-Cabeça-Ombro”: Testando a Lucratividade do Padrão Gráfico de Análise Técnica no Mercado de Ações Brasileiro [Head and Shoulder: testing the profitability of graphic pattern of technical analysis for the Brazilian Stock Exchange]," MPRA Paper 15653, University Library of Munich, Germany.
    25. Majumder, Debasish, 2013. "Towards an efficient stock market: Empirical evidence from the Indian market," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 572-587.
    26. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for predictability in equity returns for European transition markets," Economic Systems, Elsevier, vol. 30(1), pages 56-78, March.
    27. Juan Benjamín Duarte Duarte & Juan Manuel Mascare�as P�rez-I�igo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia.
    28. Matheus José Silva de Souza & Danilo Guimarães Franco Ramos & Marina Garcia Pena & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Examination of the profitability of technical analysis based on moving average strategies in BRICS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-18, December.
    29. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    30. Yufeng Lin & Xiaogang Wang & Yuehua Wu, 2023. "An Adaptive Multiple-Asset Portfolio Strategy with User-Specified Risk Tolerance," Mathematics, MDPI, vol. 11(7), pages 1-35, March.
    31. Thiago Christiano Silva & Benjamin Miranda Tabak & Idamar Magalhães Ferreira, 2019. "Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    32. Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
    33. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    34. Abdul Razak Abdul Hadi & Eddy Tat Hiung Yap & Zalina Zainudin, 2019. "The Effects of Relative Strength of USD and Overnight Policy Rate on Performance of Malaysian Stock Market – Evidence from 1980 through 2015," Contemporary Economics, Vizja University, vol. 13(2), June.
    35. Hatgioannides, John & Mesomeris, Spyros, 2007. "On the returns generating process and the profitability of trading rules in emerging capital markets," Journal of International Money and Finance, Elsevier, vol. 26(6), pages 948-973, October.
    36. Michael D. McKenzie, 2007. "Technical Trading Rules in Emerging Markets and the 1997 Asian Currency Crises," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(4), pages 46-73, August.
    37. Smimou, Kamal & Karabegovic, Amela, 2010. "On the relationship between economic freedom and equity returns in the emerging markets: Evidence from the Middle East and North Africa (MENA) stock markets," Emerging Markets Review, Elsevier, vol. 11(2), pages 119-151, June.
    38. Hsu, Po-Hsuan & Hsu, Yu-Chin & Kuan, Chung-Ming, 2010. "Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 471-484, June.
    39. McPherson, Matthew Q. & Palardy, Joseph, 2007. "Are international stock returns predictable?: An examination of linear and non-linear predictability using generalized spectral tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(5), pages 452-464, December.
    40. Lönnbark, Carl & Soultanaeva, Albina, 2009. "Profitability of Technical Trading Rules on the Baltic Stock Markets," Umeå Economic Studies 761, Umeå University, Department of Economics.
    41. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

  148. Tabak, Benjamin Miranda, 2004. "A note on the effects of monetary policy surprises on the Brazilian term structure of interest rates," Journal of Policy Modeling, Elsevier, vol. 26(3), pages 283-287, April.

    Cited by:

    1. Moura, Marcelo L. & Gaião, Rafael Ladeira, 2012. "Impact of macroeconomic surprises on the brazilian yield curve and expected inflation," Insper Working Papers wpe_288, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    2. Anna Buchholz & Cesar Cupertino & Roberto Meurer & Andre Portela Santos & Newton Da Costa, 2012. "The market reaction to changes in the Brazilian official interest rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1359-1364, September.
    3. Marcelo L. Moura & Rafael Ladeira Gaião, 2012. "Impact of macroeconomic surprises on the brazilian yield curve and expected inflation," Business and Economics Working Papers 169, Unidade de Negocios e Economia, Insper.
    4. Baghestani, Hamid & Marchon, Cassia, 2012. "An evaluation of private forecasts of interest rate targets in Brazil," Economics Letters, Elsevier, vol. 115(3), pages 352-355.
    5. Moura, Marcelo L. & Gaião, Rafael L., 2014. "Impact of macroeconomic surprises on the Brazilian yield curve and expected inflation," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 114-144.
    6. García-Herrero, Alicia & Girardin, Eric & dos Santos, Enestor, 2017. "Do as I do, and also as I say: monetary policy impact on Brazil’s financial markets," LSE Research Online Documents on Economics 123395, London School of Economics and Political Science, LSE Library.
    7. Cavaca, Igor Bastos & Meurer, Roberto, 2024. "The asymmetry and uncertainty effects on the response of the yield curve to Brazilian monetary policy," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 831-844.
    8. Bhattacharyya, Indranil & Sensarma, Rudra, 2008. "How effective are monetary policy signals in India," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 169-183.

  149. Charles Lima De Almeida & Marco Aur�LIO Peres & Geraldo Da Silva E Souza & Benjamin Miranda Tabak, 2003. "Optimal monetary rules: the case of Brazil," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 299-302, April.
    See citations under working paper version above.
  150. Paulo Coutinho & Benjamin Miranda Tabak, 2003. "Decentralized Portfolio Management," Brazilian Review of Finance, Brazilian Society of Finance, vol. 1(2), pages 243-270.
    See citations under working paper version above.
  151. Benjamin Miranda Tabak, 2003. "The random walk hypothesis and the behaviour of foreign capital portfolio flows: the Brazilian stock market case," Applied Financial Economics, Taylor & Francis Journals, vol. 13(5), pages 369-378.
    See citations under working paper version above.
  152. Benjamin Miranda Tabak & Sandro Canesso de Andrade, 2003. "Testing the Expectations Hypothesis in the Brazilian Term Structure of Interest Rates," Brazilian Review of Finance, Brazilian Society of Finance, vol. 1(1), pages 19-43.
    See citations under working paper version above.

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