IDEAS home Printed from https://ideas.repec.org/e/c/pwa75.html
   My authors  Follow this author

Niklas F Wagner

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.

Working papers

  1. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and Nonlinear Growth Determinants: The Case of Mongolia and its Connection to China," MPRA Paper 99185, University Library of Munich, Germany.

    Cited by:

    1. Batmunkh, Munkh-Ulzii & Choijil, Enkhbayar & Vieito, João Paulo & Espinosa-Méndez, Christian & Wong, Wing-Keung, 2020. "Does herding behavior exist in the Mongolian stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    2. Kang‐Soek Lee & Richard A. Werner, 2023. "Are lower interest rates really associated with higher growth? New empirical evidence on the interest rate thesis from 19 countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3960-3975, October.
    3. Natalia Iwaszczuk & Jacek Wolak & Aleksander Iwaszczuk, 2021. "Turkmenistan’s Gas Sector Development Scenarios Based on Econometric and SWOT Analysis," Energies, MDPI, vol. 14(10), pages 1-18, May.
    4. Natalia I. Doré & Aurora A. C. Teixeira, 2023. "Empirical Literature on Economic Growth, 1991–2020: Uncovering Extant Gaps and Avenues for Future Research," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 15(1), pages 7-37, January.

  2. Sofiane Aboura & Niklas Wagner, 2015. "Extreme asymmetric volatility: Stress and aggregate asset prices," Post-Print hal-01275450, HAL.

    Cited by:

    1. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," JRFM, MDPI, vol. 11(2), pages 1-20, June.
    2. Alexandra Horobet & Lucian Belascu & Ștefania Cristina Curea & Alma Pentescu, 2019. "Ownership Concentration and Performance Recovery Patterns in the European Union," Sustainability, MDPI, vol. 11(4), pages 1-31, February.
    3. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    4. Lu Wang & Feng Ma & Guoshan Liu, 2020. "Forecasting stock volatility in the presence of extreme shocks: Short‐term and long‐term effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 797-810, August.
    5. Dutta, Anupam, 2018. "Oil and energy sector stock markets: An analysis of implied volatility indexes," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 61-68.
    6. Bollerslev, Tim & Xu, Lai & Zhou, Hao, 2015. "Stock return and cash flow predictability: The role of volatility risk," Journal of Econometrics, Elsevier, vol. 187(2), pages 458-471.
    7. Ushir HARRILALL & Yudhvir SEETHARAM, 2015. "Forecasting changes in the South African volatility index: A comparison of methods," EuroEconomica, Danubius University of Galati, issue 2(34), pages 51-70, November.
    8. 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.

  3. Sofiane Aboura & Niklas Wagner, 2009. "Extreme Asymmetric Volatility, Leverage, Feedback and Asset Prices," Post-Print hal-01529361, HAL.

    Cited by:

    1. Aboura, Sofiane & Chevallier, Julien, 2018. "Tail risk and the return-volatility relation," Research in International Business and Finance, Elsevier, vol. 46(C), pages 16-29.

  4. Sofiane Aboura & Niklas Wagner, 2008. "Systematic credit risk: CDX index correlation and extreme dependence," Post-Print hal-01529353, HAL.

    Cited by:

    1. Khaled Guesmi & Abderrazak Dhaoui & Stéphane Goutte & Ilyes Abid, 2018. "On the determinants of industry-CDS index spreads: Evidence from a nonlinear setting," Post-Print halshs-02148926, HAL.

  5. Markus Junker & Alexander Szimayer & Niklas Wagner, 2004. "Nonlinear Term Structure Dependence: Copula Functions, Empirics, and Risk Implications," Econometrics 0401007, University Library of Munich, Germany.

    Cited by:

    1. Fernandez, Viviana, 2008. "Copula-based measures of dependence structure in assets returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3615-3628.
    2. Mike Vuolo, 2017. "Copula Models for Sociology: Measures of Dependence and Probabilities for Joint Distributions," Sociological Methods & Research, , vol. 46(3), pages 604-648, August.
    3. Koziol, Philipp & Schell, Carmen & Eckhardt, Meik, 2015. "Credit risk stress testing and copulas: Is the Gaussian copula better than its reputation?," Discussion Papers 46/2015, Deutsche Bundesbank.
    4. Garcia-Jorcano, Laura & Benito, Sonia, 2020. "Studying the properties of the Bitcoin as a diversifying and hedging asset through a copula analysis: Constant and time-varying," Research in International Business and Finance, Elsevier, vol. 54(C).
    5. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2007. "Selecting copulas for risk management," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2405-2423, August.
    6. Äijö, Janne, 2008. "Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices," Global Finance Journal, Elsevier, vol. 18(3), pages 290-302.
    7. Hafner, Christian & Manner H., 2012. "Dynamic stochastic copula models: Estimation, inference and applications," LIDAM Reprints ISBA 2012022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    8. Ruijun Bu & Ludovic Giet & Kaddour Hadri & Michel Lubrano, 2009. "Modeling Multivariate Interest Rates using Time-Varying Copulas and Reducible Stochastic Differential Equations," Working Papers halshs-00408014, HAL.
    9. Wang, Zong-Run & Chen, Xiao-Hong & Jin, Yan-Bo & Zhou, Yan-Ju, 2010. "Estimating risk of foreign exchange portfolio: Using VaR and CVaR based on GARCH–EVT-Copula model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4918-4928.
    10. Andrey Bedin & Alexander Kulikov & Andrey Polbin, 2023. "Copula-Based Modelling of Relationship Between Dollar/Rouble Exchange Rate and Oil Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 87-109, September.
    11. L. K. Hotta & E. C. Lucas & H. P Palaro, 2008. "Estimation of VaR Using Copula and Extreme Value Theory," Multinational Finance Journal, Multinational Finance Journal, vol. 12(3-4), pages 205-218, September.
    12. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    13. Liu, Xiang-dong & Pan, Fei & Cai, Wen-li & Peng, Rui, 2020. "Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    14. 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.
    15. Bing-Yue Liu & Qiang Ji & Ying Fan, 2017. "A new time-varying optimal copula model identifying the dependence across markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 437-453, March.
    16. Riadh Aloui & Rangan Gupta & Stephen M. Miller, 2015. "Uncertainty and crude oil returns," Working papers 2015-03, University of Connecticut, Department of Economics.
    17. Kim, Jong-Min & Kim, Dong H. & Jung, Hojin, 2020. "Modeling non-normal corporate bond yield spreads by copula," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    18. Manner, H., 2007. "Estimation and model selection of copulas with an application to exchange rates," Research Memorandum 056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Noureddine Benlagha, 2014. "Dependence structure between nominal and index-linked bond returns: a bivariate copula and DCC-GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3849-3860, November.
    20. Grundke, Peter & Polle, Simone, 2012. "Crisis and risk dependencies," European Journal of Operational Research, Elsevier, vol. 223(2), pages 518-528.
    21. Zongwu Cai & Xian Wang, 2014. "Selection of Mixed Copula Model via Penalized Likelihood," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 788-801, June.
    22. Bai, Xiwen, 2021. "Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach," Energy, Elsevier, vol. 235(C).
    23. Chatrath, Arjun & Christie-David, Rohan A. & Lee, Kiseop & Moore, William T., 2009. "Competitive inventory management in Treasury markets," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 800-809, May.
    24. Johan Hagenbjörk & Jörgen Blomvall, 2019. "Simulation and evaluation of the distribution of interest rate risk," Computational Management Science, Springer, vol. 16(1), pages 297-327, February.
    25. Viviana Fernández, 2007. "Multi-period hedge ratios for a multi-asset portfolio when accounting for returns comovement," Documentos de Trabajo 242, Centro de Economía Aplicada, Universidad de Chile.
    26. Pedro Antonio Martín Cervantes & Salvador Cruz Rambaud & María del Carmen Valls Martínez, 2020. "An Application of the SRA Copulas Approach to Price-Volume Research," Mathematics, MDPI, vol. 8(11), pages 1-28, October.
    27. Aloui, Riadh & Ben Aïssa, Mohamed Safouane, 2016. "Relationship between oil, stock prices and exchange rates: A vine copula based GARCH method," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 458-471.
    28. Kim, Jong-Min & Jung, Hojin, 2017. "Can asymmetric conditional volatility imply asymmetric tail dependence?," Economic Modelling, Elsevier, vol. 64(C), pages 409-418.
    29. Penikas, Henry & Simakova, Varvara, 2009. "Interest Rate Risk Management Based on Copula-GARCH Models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 13(1), pages 3-36.
    30. Chu, Ba, 2011. "Recovering copulas from limited information and an application to asset allocation," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1824-1842, July.
    31. Bouri, Elie & Nekhili, Ramzi & Todorova, Neda, 2023. "Dynamic co-movement in major commodity markets during crisis periods: A wavelet local multiple correlation analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    32. Robert B. Durand & Markus Junker & Alex Szimayer, 2010. "The flight‐to‐quality effect: a copula‐based analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(2), pages 281-299, June.
    33. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    34. Ruijun Bu & Ludovic Giet & Kaddour Hadri & Michel Lubrano, 2009. "Modelling Multivariate Interest Rates using Time-Varying Copulas and Reducible Non-Linear Stochastic Differential," Economics Working Papers 09-02, Queen's Management School, Queen's University Belfast.

  6. Niklas Wagner & Terry A. Marsh, 2004. "Surprise Volume and Heteroskedasticity in Equity Market Returns," Econometrics 0409009, University Library of Munich, Germany.

    Cited by:

    1. Walid M.A. Ahmed, 2016. "Cross-border equity flows and market volatility: the case of Qatar Exchange," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 11(3), pages 395-418, July.
    2. Heejoon Han & Dennis Kristensen, 2012. "Asymptotic Theory for the QMLE in GARCH-X Models with Stationary and Non-Stationary Covariates," CREATES Research Papers 2012-25, Department of Economics and Business Economics, Aarhus University.
    3. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
    4. José Dias Curto & João Tomaz & José Castro Pinto, 2009. "A new approach to bad news effects on volatility: the multiple-sign-volume sensitive regime EGARCH model (MSV-EGARCH)," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 8(1), pages 23-36, April.
    5. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
    6. Jianxin Wang, 2007. "Foreign Ownership and Volatility Dynamics of Indonesian Stocks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(3), pages 201-210, September.
    7. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    8. Sensoy, Ahmet & Serdengeçti, Süleyman, 2019. "Intraday volume-volatility nexus in the FX markets: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 1-12.
    9. Thomas Chiang & Lin Tan & Huimin Li, 2007. "Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 651-667.
    10. Le, Van & Zurbruegg, Ralf, 2010. "The role of trading volume in volatility forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 533-555, December.
    11. Cathy Yi†Hsuan Chen & Thomas C. Chiang, 2016. "Empirical Analysis of the Intertemporal Relationship between Downside Risk and Expected Returns: Evidence from Time†varying Transition Probability Models," European Financial Management, European Financial Management Association, vol. 22(5), pages 749-796, November.
    12. Cathy W.S. Chen & Mike K.P. So & Thomas C. Chiang, 2016. "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 96-124, March.
    13. Jawadi Fredj & Ureche-Rangau Loredana, 2013. "Threshold linkages between volatility and trading volume: evidence from developed and emerging markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 313-333, May.
    14. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    15. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Liquidity, surprise volume and return premia in the oil market," Energy Economics, Elsevier, vol. 77(C), pages 93-104.
    16. Arshanapalli, Bala & Fabozzi, Frank J. & Nelson, William, 2013. "The role of jump dynamics in the risk–return relationship," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 212-218.
    17. Chen, Xiaoyu & Chiang, Thomas C., 2016. "Stock returns and economic forces—An empirical investigation of Chinese markets," Global Finance Journal, Elsevier, vol. 30(C), pages 45-65.
    18. Saswat Patra & Malay Bhattacharyya, 2021. "Does volume really matter? A risk management perspective using cross‐country evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.
    19. Hammoudeh, Shawkat & Yuan, Yuan & Chiang, Thomas & Nandha, Mohan, 2010. "Symmetric and asymmetric US sector return volatilities in presence of oil, financial and economic risks," Energy Policy, Elsevier, vol. 38(8), pages 3922-3932, August.
    20. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
    21. Ahmed, Walid M.A., 2017. "The impact of foreign equity flows on market volatility during politically tranquil and turbulent times: The Egyptian experience," Research in International Business and Finance, Elsevier, vol. 40(C), pages 61-77.
    22. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
    23. Bu, Ruijun & Kim, Jihyun & Wang, Bin, 2023. "Uniform and Lp convergences for nonparametric continuous time regressions with semiparametric applications," Journal of Econometrics, Elsevier, vol. 235(2), pages 1934-1954.
    24. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
    25. Pengfei Wang & Wei Zhang & Xiao Li & Dehua Shen, 2019. "Trading volume and return volatility of Bitcoin market: evidence for the sequential information arrival hypothesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 377-418, June.
    26. Loredana Ureche-Rangau & Fabien Collado & Ulysse Galiay, 2011. "The dynamics of the volatility – trading volume relationship: New evidence from developed and emerging markets," Economics Bulletin, AccessEcon, vol. 31(3), pages 2569-2583.

  7. Niklas Wagner & Terry A. Marsh, 2004. "Measuring Tail Thickness under GARCH and an Application to Extreme Exchange Rate Changes," Econometrics 0401008, University Library of Munich, Germany.

    Cited by:

    1. Iglesias, Emma M., 2015. "Value at Risk of the main stock market indexes in the European Union (2000–2012)," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 1-13.
    2. Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    4. Vêlayoudom Marimoutou & Bechir Raggad & Abdelwahed Trabelsi, 2006. "Extreme Value Theory and Value at Risk : Application to Oil Market," Working Papers halshs-00410746, HAL.
    5. Mohammad Karimi & Marcel Voia, 2015. "Identifying extreme values of exchange market pressure," Empirical Economics, Springer, vol. 48(3), pages 1055-1078, May.
    6. Emma M. Iglesias, 2012. "An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4631-4637, December.
    7. Tim Bollerslev & Viktor Todorov, 2010. "Jump Tails, Extreme Dependencies, and the Distribution of Stock Returns," CREATES Research Papers 2010-64, Department of Economics and Business Economics, Aarhus University.
    8. Marimoutou, Velayoudoum & Raggad, Bechir & Trabelsi, Abdelwahed, 2009. "Extreme Value Theory and Value at Risk: Application to oil market," Energy Economics, Elsevier, vol. 31(4), pages 519-530, July.
    9. Aboura, Sofiane & Wagner, Niklas, 2016. "Extreme asymmetric volatility: Stress and aggregate asset prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 47-59.
    10. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
    11. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.
    12. Wagner, Niklas, 2005. "Autoregressive conditional tail behavior and results on Government bond yield spreads," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 247-261.
    13. Beran, Jan & Schell, Dieter, 2012. "On robust tail index estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3430-3443.
    14. Yun-Shi Dai & Peng-Fei Dai & Wei-Xing Zhou, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Papers 2303.11030, arXiv.org.
    15. Riedel, Christoph & Wagner, Niklas, 2015. "Is risk higher during non-trading periods? The risk trade-off for intraday versus overnight market returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 53-64.

  8. Niklas Wagner and Terry Marsh., 2000. "On Adaptive Tail Index Estimation for Financial Return Models," Research Program in Finance Working Papers RPF-295, University of California at Berkeley.

    Cited by:

    1. Wagner, Niklas & Marsh, Terry A., 2005. "Measuring tail thickness under GARCH and an application to extreme exchange rate changes," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 165-185, January.
    2. Mohammad Karimi & Marcel Voia, 2015. "Identifying extreme values of exchange market pressure," Empirical Economics, Springer, vol. 48(3), pages 1055-1078, May.
    3. Fasika Damte Haile & Susan Pozo, 2006. "Exchange Rate Regimes and Currency Crises: an Evaluation using Extreme Value Theory," Review of International Economics, Wiley Blackwell, vol. 14(4), pages 554-570, September.
    4. Haile, Fasika & Pozo, Susan, 2008. "Currency crisis contagion and the identification of transmission channels," International Review of Economics & Finance, Elsevier, vol. 17(4), pages 572-588, October.

  9. Terry A. Marsh and Niklas Wagner., 2000. "Return-Volume Dependence and Extremes in International Equity Markets," Research Program in Finance Working Papers RPF-293, University of California at Berkeley.

    Cited by:

    1. Ning, Cathy & Wirjanto, Tony S., 2009. "Extreme return-volume dependence in East-Asian stock markets: A copula approach," Finance Research Letters, Elsevier, vol. 6(4), pages 202-209, December.
    2. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    3. Rockinger, M. & Jondeau, E., 2001. "Conditional Dependency of Financial Series: An Application of Copulas," Working papers 82, Banque de France.
    4. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2005. "Institutional Investors and Stock Market Volatility," NBER Working Papers 11722, National Bureau of Economic Research, Inc.
    5. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," HEC Research Papers Series 719, HEC Paris.
    6. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    7. Czauderna, Katrin & Riedel, Christoph & Wagner, Niklas, 2015. "Liquidity and conditional market returns: Evidence from German exchange traded funds," Economic Modelling, Elsevier, vol. 51(C), pages 454-459.
    8. Bartosz Gębka, 2012. "The Dynamic Relation Between Returns, Trading Volume, And Volatility: Lessons From Spillovers Between Asia And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 65-90, January.
    9. Aboura, Sofiane & Wagner, Niklas, 2016. "Extreme asymmetric volatility: Stress and aggregate asset prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 47-59.
    10. Jian, Zhihong & Wu, Shuai & Zhu, Zhican, 2018. "Asymmetric extreme risk spillovers between the Chinese stock market and index futures market: An MV-CAViaR based intraday CoVaR approach," Emerging Markets Review, Elsevier, vol. 37(C), pages 98-113.
    11. Sun, Changyou, 2013. "Price variation and volume dynamics of securitized timberlands," Forest Policy and Economics, Elsevier, vol. 27(C), pages 44-53.
    12. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Razvan Stefanescu & Ramona Dumitriu, 2016. "Contrarian and Momentum Profits during Periods of High Trading Volume preceded by Stock Prices Shocks," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 378-384.
    14. Yousaf, Imran & Yarovaya, Larisa, 2022. "The relationship between trading volume, volatility and returns of Non-Fungible Tokens: evidence from a quantile approach," Finance Research Letters, Elsevier, vol. 50(C).
    15. Eric Jondeau & Michael Rockinger, 2002. "Conditional Dependency of Financial Series: The Copula-GARCH Model," FAME Research Paper Series rp69, International Center for Financial Asset Management and Engineering.
    16. Naeem, Muhammad & Bouri, Elie & Boako, Gideon & Roubaud, David, 2020. "Tail dependence in the return-volume of leading cryptocurrencies," Finance Research Letters, Elsevier, vol. 36(C).
    17. Fan, Yunqi & Fu, Hui, 2020. "Institutional investors, selling pressure and crash risk: Evidence from China," Emerging Markets Review, Elsevier, vol. 42(C).
    18. Chan, Stephen & Chu, Jeffrey & Zhang, Yuanyuan & Nadarajah, Saralees, 2022. "An extreme value analysis of the tail relationships between returns and volumes for high frequency cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    19. Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki & Stanley, Eugene, 2007. "A unified econophysics explanation for the power-law exponents of stock market activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 81-88.
    20. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    21. Będowska-Sójka, Barbara & Echaust, Krzysztof & Just, Małgorzata, 2022. "The asymmetry of the Amihud illiquidity measure on the European markets: The evidence from Extreme Value Theory," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    22. Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.

Articles

  1. Jonathan A. Batten & Harald Kinateder & Niklas Wagner, 2022. "Beating the Average: Equity Premium Variations, Uncertainty, and Liquidity," Abacus, Accounting Foundation, University of Sydney, vol. 58(3), pages 567-588, September.

    Cited by:

    1. Frömel, Pascal & Kolmeder, Severin & Wagner, Dominik, 2023. "Where prices are not lazy: Evidence from REITs and the financial sector," Finance Research Letters, Elsevier, vol. 53(C).
    2. Treepongkaruna, Sirimon & Chan, Kam Fong & Malik, Ihtisham, 2023. "Climate policy uncertainty and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Masih, Mansur, 2022. "COVID-19 government interventions and cryptocurrency market: Is there any optimum portfolio diversification?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    4. Yu, Dan & Chen, Chuang & Wang, Yudong & Zhang, Yaojie, 2023. "Hedging pressure momentum and the predictability of oil futures returns," Economic Modelling, Elsevier, vol. 121(C).
    5. Nonejad, Nima, 2022. "Equity premium prediction using the price of crude oil: Uncovering the nonlinear predictive impact," Energy Economics, Elsevier, vol. 115(C).
    6. Florin Aliu & Simona Hašková & Petr Šuleř, 2022. "Sustainability of electricity prices and the consequences for the Prague Stock Exchange," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 10(2), pages 473-494, December.

  2. Anolick, Nina & Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2021. "Time for gift giving: Abnormal share repurchase returns and uncertainty," Journal of Corporate Finance, Elsevier, vol. 66(C).

    Cited by:

    1. Christian Dreyer & Oliver Schulz, 2023. "Policy uncertainty and corporate investment: public versus private firms," Review of Managerial Science, Springer, vol. 17(5), pages 1863-1898, July.
    2. Ran Lu & Hongjun Zeng, 2022. "VIX and major agricultural future markets: dynamic linkage and time-frequency relations around the COVID-19 outbreak," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 334-353, September.
    3. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Tsai, Pei-Ling & Hsu, Yuan-Lin & Chih, Hsiang-Hsuan & Lin, Shih-Kuei, 2022. "Theoretical and empirical analysis of options in open market share repurchases of Taiwan companies," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 205-226.
    5. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    6. Ghalke, Avinash & Sensarma, Rudra & Chakraborty, Sandip & Kakani, Ram Kumar, 2023. "Stock markets and economic uncertainty: Roles of legislative sessions and coalition strength," European Journal of Political Economy, Elsevier, vol. 78(C).
    7. Chen, Ni-Yun & Liu, Chi-Chun, 2023. "The impact of share repurchases on equity finance and performance," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 198-212.
    8. 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).

  3. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2021. "Collectors: Personality between consumption and investment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

    Cited by:

    1. Pecchioli, Bruno & Moroz, David, 2023. "Do geographical appellations provide useful quality signals? The case of Scotch single malt whiskies," Economic Modelling, Elsevier, vol. 124(C).

  4. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).

    Cited by:

    1. Chowdhury, Kushal Banik & Garg, Bhavesh, 2023. "Fresh evidence on the oil-stock interactions under heterogeneous market conditions," Finance Research Letters, Elsevier, vol. 54(C).
    2. Akhtaruzzaman, Md & Banerjee, Ameet Kumar & Ghardallou, Wafa & Umar, Zaghum, 2022. "Is greenness an optimal hedge for sectoral stock indices?," Economic Modelling, Elsevier, vol. 117(C).
    3. Reinhold Heinlein & Scott M. R. Mahadeo, 2021. "Oil and US stock market shocks: implications for Canadian equities," Working Papers in Economics & Finance 2021-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    4. Akhtaruzzaman, Md & Boubaker, Sabri & Goodell, John W., 2023. "Did the collapse of Silicon Valley Bank catalyze financial contagion?," Finance Research Letters, Elsevier, vol. 56(C).
    5. Cui, Jinxin & Goh, Mark & Zou, Huiwen, 2021. "Coherence, extreme risk spillovers, and dynamic linkages between oil and China’s commodity futures markets," Energy, Elsevier, vol. 225(C).
    6. Muhammad Abubakr Naeem & Sitara Karim & Aviral Kumar Tiwari, 2023. "Risk Connectedness Between Green and Conventional Assets with Portfolio Implications," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 609-637, August.
    7. Samia Nasreen & Aviral Kumar Tiwari & Seong-Min Yoon, 2021. "Dynamic Connectedness and Portfolio Diversification during the Coronavirus Disease 2019 Pandemic: Evidence from the Cryptocurrency Market," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    8. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    9. Babu Jose & Nithin Jose, 2023. "Is Cross-Hedging Effective for Mitigating Equity Investment Risks in the Indian Banking Sector?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 189-210, March.
    10. Clement Moyo & Izunna Anyikwa & Andrew Phiri, 2023. "The Impact of Covid-19 on Oil Market Returns: Has Market Efficiency Being Violated?," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 118-127, January.
    11. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. JEBABLI, Ikram & KOUAISSAH, Noureddine & AROURI, Mohamed, 2022. "Volatility Spillovers between Stock and Energy Markets during Crises: A Comparative Assessment between the 2008 Global Financial Crisis and the Covid-19 Pandemic Crisis," Finance Research Letters, Elsevier, vol. 46(PA).
    13. Ibrahim D. Raheem & Oluyele Akinkugbe & Agboola H. Yusuf & Mahdi Ghaemi Asl, 2023. "Hedging strategies among financial markets: the case of green and brown assets," Empirical Economics, Springer, vol. 65(2), pages 831-873, August.
    14. Behnam Zakeri & Katsia Paulavets & Leonardo Barreto-Gomez & Luis Gomez Echeverri & Shonali Pachauri & Benigna Boza-Kiss & Caroline Zimm & Joeri Rogelj & Felix Creutzig & Diana Ürge-Vorsatz & David G. , 2022. "Pandemic, War, and Global Energy Transitions," Energies, MDPI, vol. 15(17), pages 1-23, August.
    15. Ustaoglu, Erkan, 2023. "Diversification, hedge, and safe-haven properties of gold and bitcoin with portfolio implications during the Russia–Ukraine war," Resources Policy, Elsevier, vol. 84(C).
    16. Anoop S. Kumar & Balaga Mohana Rao, 2023. "Are non‐fungible token coins a good hedge against the stock market volatility?," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 764-772, December.
    17. Akhtaruzzaman, Md & Boubaker, Sabri & Lucey, Brian M. & Sensoy, Ahmet, 2021. "Is gold a hedge or a safe-haven asset in the COVID–19 crisis?," Economic Modelling, Elsevier, vol. 102(C).
    18. Theodoros Syriopoulos & Efthymios Roumpis & Michael Tsatsaronis, 2023. "Hedging Strategies in Carbon Emission Price Dynamics: Implications for Shipping Markets," Energies, MDPI, vol. 16(17), pages 1-27, September.
    19. Yu, Dan & Chen, Chuang & Wang, Yudong & Zhang, Yaojie, 2023. "Hedging pressure momentum and the predictability of oil futures returns," Economic Modelling, Elsevier, vol. 121(C).
    20. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    21. Nonejad, Nima, 2022. "Equity premium prediction using the price of crude oil: Uncovering the nonlinear predictive impact," Energy Economics, Elsevier, vol. 115(C).
    22. Nekhili, Ramzi & Bouri, Elie, 2023. "Higher-order moments and co-moments' contribution to spillover analysis and portfolio risk management," Energy Economics, Elsevier, vol. 119(C).
    23. Jose, Nithin & Jose, Babu & Varghese, James, 2022. "Is cross-hedging an effective strategy in equity futures market?," Finance Research Letters, Elsevier, vol. 50(C).
    24. Boubaker, Heni & Larbi, Ons Ben, 2022. "Dynamic dependence and hedging strategies in BRICS stock markets with oil during crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 263-279.
    25. Fang, Ming & Chang, Chiu-Lan & Zhang, Qi, 2023. "Impacts of trading restrictions on price volatilities and speculative activities: Evidence from CSI 300 futures," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 184-204.
    26. Shahid, Muhammad Naeem & Azmi, Wajahat & Ali, Mohsin & Islam, Muhammad Umar & Rizvi, Syed Aun R., 2023. "Uncovering risk transmission between socially responsible investments, alternative energy investments and the implied volatility of major commodities," Energy Economics, Elsevier, vol. 120(C).
    27. Okoroafor, Ugochi C. & Leirvik, Thomas, 2023. "Time-varying market efficiency of safe-haven assets," Finance Research Letters, Elsevier, vol. 56(C).
    28. Cevik, Emrah Ismail & Gunay, Samet & Zafar, Muhammad Wasif & Destek, Mehmet Akif & Bugan, Mehmet Fatih & Tuna, Fatih, 2022. "The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold," Resources Policy, Elsevier, vol. 79(C).
    29. Kassouri, Yacouba & Altıntaş, Halil, 2022. "The quantile dependence of the stock returns of “clean” and “dirty” firms on oil demand and supply shocks," Journal of Commodity Markets, Elsevier, vol. 28(C).
    30. Billah, Mabruk & Amar, Amine Ben & Balli, Faruk, 2023. "The extreme return connectedness between Sukuk and green bonds and their determinants and consequences for investors," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    31. Chemkha, Rahma & BenSaïda, Ahmed & Ghorbel, Ahmed & Tayachi, Tahar, 2021. "Hedge and safe haven properties during COVID-19: Evidence from Bitcoin and gold," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 71-85.
    32. Hasan, Md. Bokhtiar & Kabir Hassan, M. & Gider, Zeynullah & Tahsin Rafia, Humaira & Rashid, Mamunur, 2023. "Searching hedging instruments against diverse global risks and uncertainties," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    33. Gonzato, Luca & Sgarra, Carlo, 2021. "Self-exciting jumps in the oil market: Bayesian estimation and dynamic hedging," Energy Economics, Elsevier, vol. 99(C).
    34. Ibhagui, Oyakhilome, 2021. "Stock market and deviations from covered interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    35. Lee, Hsiang-Tai & Lee, Chien-Chiang, 2022. "A regime-switching real-time copula GARCH model for optimal futures hedging," International Review of Financial Analysis, Elsevier, vol. 84(C).
    36. Kumar, Anoop S & Padakandla, Steven Raj, 2023. "Do NFTs act as a good hedge and safe haven against Cryptocurrency fluctuations?," Finance Research Letters, Elsevier, vol. 56(C).
    37. Abuzayed, Bana & Al-Fayoumi, Nedal, 2021. "Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    38. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    39. Salem Adel Ziadat & David G. McMillan, 2022. "Oil-stock nexus: the role of oil shocks for GCC markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 39(5), pages 801-818, May.
    40. Burdekin, Richard C.K. & Tao, Ran, 2021. "The golden hedge: From global financial crisis to global pandemic," Economic Modelling, Elsevier, vol. 95(C), pages 170-180.
    41. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).

  5. Patrizia Perras & Niklas Wagner, 2020. "On the pricing of overnight market risk," Empirical Economics, Springer, vol. 59(3), pages 1307-1327, September.

    Cited by:

    1. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).

  6. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2020. "Rich men’s hobby or question of personality: Who considers collectibles as alternative investment?," Finance Research Letters, Elsevier, vol. 35(C).

    Cited by:

    1. Li, Dong & Han, Yushu, 2023. "Media attention and large shareholders' embezzlement behavior," Finance Research Letters, Elsevier, vol. 57(C).

  7. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and nonlinear growth determinants: The case of Mongolia and its connection to China," Emerging Markets Review, Elsevier, vol. 43(C).
    See citations under working paper version above.
  8. Perras, Patrizia & Wagner, Niklas, 2020. "Pricing equity-bond covariance risk: Between flight-to-quality and fear-of-missing-out," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).

    Cited by:

    1. Helen Hui Huang & Yanjie Wang & Shunming Zhang, 2023. "Asset allocation, limited participation and flight‐to‐quality under ambiguity of correlation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4604-4626, October.
    2. Socaciu, Erzsébet-Mirjám & Nagy, Bálint-Zsolt & Benedek, Botond, 2023. "No place like home: Home bias and flight-to-quality in Group of Seven countries," Economic Modelling, Elsevier, vol. 129(C).

  9. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Liquidity, surprise volume and return premia in the oil market," Energy Economics, Elsevier, vol. 77(C), pages 93-104.

    Cited by:

    1. Ran Lu & Hongjun Zeng, 2022. "VIX and major agricultural future markets: dynamic linkage and time-frequency relations around the COVID-19 outbreak," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 334-353, September.
    2. Wang, Pengfei & Zhang, Wei & Li, Xiao & Shen, Dehua, 2019. "Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective," Finance Research Letters, Elsevier, vol. 31(C), pages 1-18.
    3. Bo, Congcong & Shen, Dehua, 2023. "The road less travelled: GameFi as a hedge or a safe haven for international indices," Finance Research Letters, Elsevier, vol. 57(C).
    4. Evan Dudley & Niclas Andrén & Håkan Jankensgård, 2022. "How do firms hedge in financial distress?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1324-1351, July.
    5. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    6. Bechir Raggad & Elie Bouri, 2023. "Quantile Dependence between Crude Oil Returns and Implied Volatility: Evidence from Parametric and Nonparametric Tests," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    7. Svogun, Daniel & Bazán-Palomino, Walter, 2022. "Technical analysis in cryptocurrency markets: Do transaction costs and bubbles matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    8. Yu, Dan & Chen, Chuang & Wang, Yudong & Zhang, Yaojie, 2023. "Hedging pressure momentum and the predictability of oil futures returns," Economic Modelling, Elsevier, vol. 121(C).
    9. Apergis, Nicholas, 2022. "COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling," Finance Research Letters, Elsevier, vol. 47(PA).
    10. Mohammad Benny Alexandri & Supriyanto, 2022. "Volatility Spillover between Stock Returns and Oil Prices during the Covid-19 Pandemic in ASEAN," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 126-133.
    11. Walther, Thomas & Klein, Tony & Bouri, Elie, 2019. "Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    12. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    13. Walther, Thomas & Klein, Tony & Bouri, Elie, 2018. "Exogenous Drivers of Bitcoin and Cryptocurrency Volatility – A Mixed Data Sampling Approach to Forecasting," QBS Working Paper Series 2018/02, Queen's University Belfast, Queen's Business School.

  10. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Time-varying energy and stock market integration in Asia," Energy Economics, Elsevier, vol. 80(C), pages 777-792.

    Cited by:

    1. Bouri, Elie & Vo, Xuan Vinh & Saeed, Tareq, 2021. "Return equicorrelation in the cryptocurrency market: Analysis and determinants," Finance Research Letters, Elsevier, vol. 38(C).
    2. Saeed, Shifa Mohamed & Abdeljawad, Islam & Hassan, M. Kabir & Rashid, Mamunur, 2023. "Dependency of Islamic bank rates on conventional rates in a dual banking system: A trade-off between religious and economic fundamentals," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1003-1021.
    3. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).
    5. Wang, Brian Yutao & Li, Shuo & Liu, Guangqiang & Yang, Zhiqing, 2021. "Running out of energy: The Price effect of energy deficiency," Energy Economics, Elsevier, vol. 100(C).
    6. Wafa Miled & Zied Ftiti & Jean-Michel Sahut, 2022. "Spatial contagion between financial markets: new evidence of asymmetric measures," Annals of Operations Research, Springer, vol. 313(2), pages 1183-1220, June.
    7. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    9. Qin, Weiping & Cho, Sungjun & Hyde, Stuart, 2022. "Measuring market integration during crisis periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    10. Rehman, Mobeen Ur & Nautiyal, Neeraj & Ghardallou, Wafa & Vo, Xuan Vinh & Zeitun, Rami, 2023. "Comovement and spillover among energy markets: A Comparison across different crisis periods," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 277-302.
    11. Youssef, Manel & Mokni, Khaled, 2020. "Modeling the relationship between oil and USD exchange rates: Evidence from a regime-switching-quantile regression approach," Journal of Multinational Financial Management, Elsevier, vol. 55(C).
    12. Urom, Christian & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Directional predictability and time-frequency spillovers among clean energy sectors and oil price uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 326-341.
    13. Elsayed, Ahmed H. & Yarovaya, Larisa, 2019. "Financial stress dynamics in the MENA region: Evidence from the Arab Spring," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 20-34.
    14. K. Abhaya Kumar & Prakash Pinto & Iqbal Thonse Hawaldar & K. G. Ramesh, 2021. "Can Crude Oil Futures be the Good Hedging Tool for Tyre Equities? Evidence from India," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 523-537.
    15. Tadahiro Nakajima & Yuki Toyoshima, 2019. "Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets," Energies, MDPI, vol. 12(20), pages 1-15, October.
    16. Adams, Zeno & Collot, Solène & Kartsakli, Maria, 2020. "Have commodities become a financial asset? Evidence from ten years of Financialization," Energy Economics, Elsevier, vol. 89(C).
    17. Daniel Ştefan Armeanu & Camelia Cătălina Joldeş & Ştefan Cristian Gherghina, 2019. "On the Linkage between the Energy Market and Stock Returns: Evidence from Romania," Energies, MDPI, vol. 12(8), pages 1-21, April.
    18. Liao, Jianhui & Zhu, Xuehong & Chen, Jinyu, 2021. "Dynamic spillovers across oil, gold and stock markets in the presence of major public health emergencies," International Review of Financial Analysis, Elsevier, vol. 77(C).
    19. Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Patel, Ritesh, 2023. "The importance of ABS 2 journals in finance scholarship: Evidence from a bibliometric case study," Finance Research Letters, Elsevier, vol. 55(PA).
    20. Salem Adel Ziadat & David G. McMillan, 2022. "Oil-stock nexus: the role of oil shocks for GCC markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 39(5), pages 801-818, May.
    21. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
    22. Asadi, Mehrad & Pham, Son D. & Nguyen, Thao T.T. & Do, Hung Xuan & Brooks, Robert, 2023. "The nexus between oil and airline stock returns: Does time frequency matter?," Energy Economics, Elsevier, vol. 117(C).

  11. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).

    Cited by:

    1. Marmora, Paul, 2022. "Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    2. Akyildirim, Erdinç & Corbet, Shaen & Cumming, Douglas & Lucey, Brian & Sensoy, Ahmet, 2020. "Riding the Wave of Crypto-Exuberance: The Potential Misusage of Corporate Blockchain Announcements," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    3. Yao, Can-Zhong & Li, Hong-Yu, 2021. "A study on the bursting point of Bitcoin based on the BSADF and LPPLS methods," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    4. Elie Bouri & Christina Christou & Rangan Gupta, 2022. "Forecasting Returns of Major Cryptocurrencies: Evidence from Regime-Switching Factor Models," Working Papers 202213, University of Pretoria, Department of Economics.
    5. Hu, Yang & Hou, Yang (Greg) & Oxley, Les & Corbet, Shaen, 2021. "Does blockchain patent-development influence Bitcoin risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    6. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.
    7. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    8. 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).
    9. Nedved, Martin & Kristoufek, Ladislav, 2023. "Safe havens for Bitcoin," Finance Research Letters, Elsevier, vol. 51(C).
    10. Hasan, Mudassar & Naeem, Muhammad Abubakr & Arif, Muhammad & Yarovaya, Larisa, 2021. "Higher moment connectedness in cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    11. Bikramaditya Ghosh & Spyros Papathanasiou & Georgios Pergeris, 2022. "Did cryptocurrencies exhibit log‐periodic power law signature during the second wave of COVID‐19?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    12. Grobys, Klaus & Junttila, Juha, 2021. "Speculation and lottery-like demand in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    13. Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
    14. Fruehwirt, Wolfgang & Hochfilzer, Leonhard & Weydemann, Leonard & Roberts, Stephen, 2021. "Cumulation, crash, coherency: A cryptocurrency bubble wavelet analysis," Finance Research Letters, Elsevier, vol. 40(C).
    15. Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    16. Ma, Chaoqun & Tian, Yonggang & Hsiao, Shisong & Deng, Liurui, 2022. "Monetary policy shocks and Bitcoin prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    17. Eray Gemici & Muslum Polat & Remzi Gök & Muhammad Asif Khan & Mohammed Arshad Khan & Yunus Kilic, 2023. "Do Bubbles in the Bitcoin Market Impact Stock Markets? Evidence From 10 Major Stock Markets," SAGE Open, , vol. 13(2), pages 21582440231, June.
    18. Michael Demmler & Amilcar Orlian Fernández Domínguez, 2021. "Bitcoin and the South Sea Company: A comparative analysis," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 13(1), pages 197-224, March.
    19. Amin Izadyar & Shiva Zamani, 2022. "Investor base and idiosyncratic volatility of cryptocurrencies," Papers 2211.13274, arXiv.org.
    20. Svogun, Daniel & Bazán-Palomino, Walter, 2022. "Technical analysis in cryptocurrency markets: Do transaction costs and bubbles matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    21. Rasoul Amirzadeh & Asef Nazari & Dhananjay Thiruvady & Mong Shan Ee, 2023. "Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach," Papers 2303.16148, arXiv.org.
    22. Yu, Lu & Li, Yanglin, 2023. "Testing factor models when asset bubbles occur: A time-varying perspective," Economic Modelling, Elsevier, vol. 124(C).
    23. Shuyu Zhang & Walter Aerts & Dunli Zhang & Zishan Chen, 2022. "Positive tone and initial coin offering," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2237-2266, June.
    24. Dulani Jayasuriya Daluwathumullagamage & Alexandra Sims, 2021. "Fantastic Beasts: Blockchain Based Banking," JRFM, MDPI, vol. 14(4), pages 1-43, April.
    25. Brajaballav Kar & Chandrabhanu Das, 2022. "Cryptocurrency Response to COVID-19: A Test of Efficient Market Hypothesis," Springer Proceedings in Business and Economics, in: Rabi Narayan Subudhi & Sumita Mishra & Abu Saleh & Dariush Khezrimotlagh (ed.), Future of Work and Business in Covid-19 Era, pages 9-18, Springer.
    26. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    27. Dwita Mariana, Christy & Ekaputra, Irwan Adi & Husodo, Zaäfri Ananto, 2021. "Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?," Finance Research Letters, Elsevier, vol. 38(C).
    28. Ma, Yu & Luan, Zhiqian, 2022. "Ethereum synchronicity, upside volatility and Bitcoin crash risk," Finance Research Letters, Elsevier, vol. 46(PA).
    29. Bikramaditya Ghosh & Spyros Papathanasiou & Vandita Dar & Dimitrios Kenourgios, 2022. "Deconstruction of the Green Bubble during COVID-19 International Evidence," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    30. Gronwald, Marc, 2021. "How explosive are cryptocurrency prices?," Finance Research Letters, Elsevier, vol. 38(C).
    31. Cevik, Emrah Ismail & Gunay, Samet & Zafar, Muhammad Wasif & Destek, Mehmet Akif & Bugan, Mehmet Fatih & Tuna, Fatih, 2022. "The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold," Resources Policy, Elsevier, vol. 79(C).
    32. Apergis, Nicholas, 2022. "COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling," Finance Research Letters, Elsevier, vol. 47(PA).
    33. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    34. Bellón, Carlos & Figuerola-Ferretti, Isabel, 2022. "Bubbles in Ethereum," Finance Research Letters, Elsevier, vol. 46(PB).
    35. Ji Ho Kwon, 2021. "On the factors of Bitcoin’s value at risk," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    36. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    37. Kinateder, Harald & Papavassiliou, Vassilios G., 2021. "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, vol. 38(C).
    38. Artor Nuhiu & Florin Aliu & Jakub Horák & Bedri Peci, 2023. "Making Informed Decisions in the Volatile Crypto Market: An Analysis of Portfolio Risk and Return," SAGE Open, , vol. 13(3), pages 21582440231, August.
    39. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunali, Ahmet Semih, 2021. "Bitcoin-specific fear sentiment and bitcoin returns in the COVID-19 outbreak," MPRA Paper 110013, University Library of Munich, Germany.
    40. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    41. Frankovic, Jozo & Liu, Bin & Suardi, Sandy, 2022. "On spillover effects between cryptocurrency-linked stocks and the cryptocurrency market: Evidence from Australia," Global Finance Journal, Elsevier, vol. 54(C).
    42. Yue, Wei & Zhang, Sijia & Zhang, Qiang, 2021. "Asymmetric News Effects on Cryptocurrency Liquidity: an Event Study Perspective," Finance Research Letters, Elsevier, vol. 41(C).
    43. Yang, Jen-Wei & Chiu, Shih-Yung & Yen, Kuang-Chieh, 2023. "Does the realized distribution-based measure dominate particular moments? Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
    44. Kwon, Ji Ho, 2020. "Tail behavior of Bitcoin, the dollar, gold and the stock market index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    45. Gradojevic, Nikola & Kukolj, Dragan & Adcock, Robert & Djakovic, Vladimir, 2023. "Forecasting Bitcoin with technical analysis: A not-so-random forest?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 1-17.
    46. Suvvari ANANDARAO & Balaga Mohana RAO & Anoop S KUMAR, 2023. "An enquiry into extreme price movements of the cryptocurrencies in the backdrop of COVID-19," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(635), S), pages 231-238, Summer.
    47. C. Vladimir Rodríguez-Caballero & Mauricio Villanueva-Domínguez, 2022. "Predicting cryptocurrency crash dates," Empirical Economics, Springer, vol. 63(6), pages 2855-2873, December.
    48. Maouchi, Youcef & Charfeddine, Lanouar & El Montasser, Ghassen, 2022. "Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs," Finance Research Letters, Elsevier, vol. 47(PA).
    49. Qian Wang & Yu Wei & Yifeng Zhang & Yuntong Liu, 2023. "Evaluating the Safe-Haven Abilities of Bitcoin and Gold for Crude Oil Market: Evidence During the COVID-19 Pandemic," Evaluation Review, , vol. 47(3), pages 391-432, June.

  12. Buchner, Axel & Mohamed, Abdulkadir & Wagner, Niklas, 2019. "Are venture capital and buyout backed IPOs any different?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 39-49.

    Cited by:

    1. Lili Liu & Heng Jiang & Yonglin Zhang, 2023. "The impact of venture capital on Chinese SMEs’ sustainable development: a focus on early-stage and professional characteristics," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    2. Chun-Yueh Lin & Yi-Hsien Wang, 2021. "Evaluating the Optimal External Equity Financing Strategy and Critical Factors for the Startup of Lending Company in Taiwan: An Application of Expert Network Decision Model," Mathematics, MDPI, vol. 9(18), pages 1-15, September.

  13. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2018. "Addressing COP21 using a stock and oil market integration index," Energy Policy, Elsevier, vol. 116(C), pages 127-136.

    Cited by:

    1. Dragomirescu-Gaina, Catalin & Galariotis, Emilios & Philippas, Dionisis, 2021. "Chasing the ‘green bandwagon’ in times of uncertainty," Energy Policy, Elsevier, vol. 151(C).
    2. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    3. Nahida Akter & Ashadun Nobi, 2018. "Investigation of the Financial Stability of S&P 500 Using Realized Volatility and Stock Returns Distribution," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    4. Shahbaz, Muhammad & Nasir, Muhammad Ali & Roubaud, David, 2018. "Environmental degradation in France: The effects of FDI, financial development, and energy innovations," Energy Economics, Elsevier, vol. 74(C), pages 843-857.
    5. Iglesias-Casal, Ana & López-Penabad, María-Celia & López-Andión, Carmen & Maside-Sanfiz, José Manuel, 2020. "Diversification and optimal hedges for socially responsible investment in Brazil," Economic Modelling, Elsevier, vol. 85(C), pages 106-118.
    6. Shaiara Husain & Kazi Sohag & Yanrui Wu, 2022. "The Response of Green Energy and Technology Investment to Climate Policy Uncertainty: An Application of Twin Transition Strategy," Economics Discussion / Working Papers 22-16, The University of Western Australia, Department of Economics.
    7. Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin & Lu, Tuantuan, 2021. "Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective," Energy, Elsevier, vol. 217(C).
    8. Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021. "COVID−19 and oil price risk exposure," Finance Research Letters, Elsevier, vol. 42(C).
    9. Miguel A. Meléndez-Jiménez & Arnold Polanski, 2018. "Dirty neighbors: Pollution in an interlinked world," Working Papers 2018-06, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    10. Resat Ceylan & Mehmet Ivrendi & Muhammed Shahbaz & Tolga Omay, 2022. "Oil and stock prices: New evidence from a time varying homogenous panel smooth transition VECM for seven developing countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1085-1100, January.
    11. Rehman, Mobeen Ur & Nautiyal, Neeraj & Ghardallou, Wafa & Vo, Xuan Vinh & Zeitun, Rami, 2023. "Comovement and spillover among energy markets: A Comparison across different crisis periods," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 277-302.
    12. Shahid, Muhammad Naeem & Azmi, Wajahat & Ali, Mohsin & Islam, Muhammad Umar & Rizvi, Syed Aun R., 2023. "Uncovering risk transmission between socially responsible investments, alternative energy investments and the implied volatility of major commodities," Energy Economics, Elsevier, vol. 120(C).

  14. Kinateder, Harald & Fabich, Matthias & Wagner, Niklas, 2017. "Domestic mergers and acquisitions in BRICS countries: Acquirers and targets," Emerging Markets Review, Elsevier, vol. 32(C), pages 190-199.

    Cited by:

    1. Yusnidah Ibrahim & Jimoh Olajide Raji, 2018. "Cross-border merger and acquisition activities in Asia: the role of macroeconomic factors," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(2), pages 307-329, May.
    2. Evans Opoku-Mensah & Yuming Yin & Asantewaa Ampofo Sandra & Priscilla Tuffour, 2019. "Mergers and Acquisitions Antecedents in BRICS," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 11(3), pages 202-214, September.
    3. Cappa, Francesco & Collevecchio, Francesca & Oriani, Raffaele & Peruffo, Enzo, 2022. "Banks responding to the digital surge through Open Innovation: Stock market performance effects of M&As with fintech firms," Journal of Economics and Business, Elsevier, vol. 121(C).
    4. Hossain, Mohammed Sawkat, 2021. "Merger & Acquisitions (M&As) as an important strategic vehicle in business: Thematic areas, research avenues & possible suggestions," Journal of Economics and Business, Elsevier, vol. 116(C).
    5. Evans Opoku‐Mensah & Yuming Yin, 2023. "Controlling shareholders' influence on acquisition decisions and value creation: An empirical study from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1965-1980, April.
    6. Gabriel J. Power & Neelam Rani & Anandadeep Mandal, 2022. "Corporate control and the choice of investment financing: the case of corporate acquisitions in India," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 41-68, January.
    7. Abdul Wajid & Anjim Sabiha & Shakeb Akhtar & Mosab I. Tabash & Linda Nalini Daniel, 2022. "Cross-Border Acquisitions and Shareholders’ Wealth: The Case of the Indian Pharmaceutical Sector," JRFM, MDPI, vol. 15(10), pages 1-17, September.
    8. Marcato, Gianluca & Sebehela, Tumellano & Campani, Carlos Heitor, 2018. "Volatility smiles when information is lagged in prices," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 151-165.
    9. Kumar, Deepak & Sengupta, Keya & Bhattacharya, Mousumi, 2023. "Macroeconomic influences on M&A deal outcomes: An analysis of domestic and cross-border M&As in developed and emerging economies," Journal of Business Research, Elsevier, vol. 161(C).
    10. Baghestani, Hamid & Chazi, Abdelaziz & Khallaf, Ashraf, 2019. "A directional analysis of oil prices and real exchange rates in BRIC countries," Research in International Business and Finance, Elsevier, vol. 50(C), pages 450-456.

  15. Kinateder, Harald & Hofstetter, Benedikt & Wagner, Niklas, 2017. "Do liquidity variables improve out-of-sample prediction of sovereign spreads during crisis periods?," Finance Research Letters, Elsevier, vol. 21(C), pages 144-150.

    Cited by:

    1. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    2. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Balcilar, Mehmet & Shahbaz, Muhammad, 2018. "Distribution specific dependence and causality between industry-level U.S. credit and stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 114-133.
    3. Harald Kinateder & Vassilios G. Papavassiliou, 2019. "Sovereign bond return prediction with realized higher moments," Open Access publications 10197/11286, Research Repository, University College Dublin.
    4. Apergis, Nicholas, 2022. "COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling," Finance Research Letters, Elsevier, vol. 47(PA).
    5. Narayan, Paresh Kumar & Ahmed, Huson Ali & Narayan, Seema, 2017. "Can investors gain from investing in certain sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 160-177.

  16. Kinateder, Harald & Wagner, Niklas, 2017. "Quantitative easing and the pricing of EMU sovereign debt," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 1-12.

    Cited by:

    1. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    2. Dana Kiseľáková & Paulina Filip & Erika Onuferová & Tomáš Valentiny, 2020. "The Impact of Monetary Policies on the Sustainable Economic and Financial Development in the Euro Area Countries," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    3. Filardo, Andrew J. & Siklos, Pierre L., 2020. "The cross-border credit channel and lending standards surveys," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    4. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2020. "The role of ECB monetary policy and financial stress on Eurozone sovereign yields," Post-Print hal-02160378, HAL.
    5. Boumparis, Periklis & Milas, Costas & Panagiotidis, Theodore, 2017. "Economic policy uncertainty and sovereign credit rating decisions: Panel quantile evidence for the Eurozone," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 39-71.
    6. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2017. "Eurozone bond market dynamics, ECB monetary policy and financial stress," Working Papers hal-03458554, HAL.
    7. Dimitris Malliaropulos & Petros Migiakis, 2022. "A global monetary policy factor in sovereign bond yields," Working Papers 301, Bank of Greece.
    8. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    9. Bennouna, Hicham, 2019. "Interest rate pass-through in Morocco: Evidence from bank-level survey data," Economic Modelling, Elsevier, vol. 80(C), pages 142-157.
    10. Harald Kinateder & Vassilios G. Papavassiliou, 2019. "Sovereign bond return prediction with realized higher moments," Open Access publications 10197/11286, Research Repository, University College Dublin.
    11. Dimitris Malliaropulos & Petros Migiakis, 2018. "Quantitative easing and sovereign bond yields: a global perspective," Working Papers 253, Bank of Greece.
    12. Edoardo Beretta & Doris Neuberger, 2023. "Monetary aggregates in the US since 2020 and post-COVID-19 inflation: evidence from the equation of exchange," Economics and Business Letters, Oviedo University Press, vol. 12(4), pages 321-330.
    13. Aloui, Donia, 2021. "The COVID-19 pandemic haunting the transmission of the quantitative easing to the exchange rate," Finance Research Letters, Elsevier, vol. 43(C).
    14. Theobald, Thomas & Tober, Silke, 2020. "Euro area sovereign yield spreads as determinants of private sector borrowing costs," Economic Modelling, Elsevier, vol. 84(C), pages 27-37.
    15. Álvaro Chamizo & Alexandre Fonollosa & Alfonso Novales, 2019. "Forward-looking asset correlations in the estimation of economic capital," Documentos de Trabajo del ICAE 2019-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. Koepke, Robin, 2018. "Fed policy expectations and portfolio flows to emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 170-194.
    17. Liu, Cai & Varotto, Simone, 2021. "Is small beautiful? The resilience of small banks during the European debt crisis," International Review of Financial Analysis, Elsevier, vol. 76(C).
    18. Österholm, Pär, 2018. "The relation between treasury yields and corporate bond yield spreads in Australia: Evidence from VARs," Finance Research Letters, Elsevier, vol. 24(C), pages 186-192.
    19. Chamizo, Álvaro & Fonollosa, Alexandre & Novales, Alfonso, 2019. "Forward-looking asset correlations in the estimation of economic capital," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 264-288.
    20. Cohen, Lior, 2023. "The effects of the BoJ's ETF purchases on equities and corporate investment," Economic Modelling, Elsevier, vol. 129(C).
    21. Aloui, Donia & Benkraiem, Ramzi & Guesmi, Khaled & Vigne, Samuel, 2023. "The European Central Bank and green finance: How would the green quantitative easing affect the investors' behavior during times of crisis?," International Review of Financial Analysis, Elsevier, vol. 85(C).
    22. Hasan Hanif & Muhammad Naveed & David McMillan, 2020. "Dynamic modeling of idiosyncratic risk under economic sensitivity. A case of Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1838734-183, January.

  17. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2017. "Can stock market investors hedge energy risk? Evidence from Asia," Energy Economics, Elsevier, vol. 66(C), pages 559-570.

    Cited by:

    1. Chunhachinda, Pornchai & de Boyrie, Maria E. & Pavlova, Ivelina, 2019. "Measuring the hedging effectiveness of commodities," Finance Research Letters, Elsevier, vol. 30(C), pages 201-207.
    2. Amaro, Raphael & Pinho, Carlos & Madaleno, Mara, 2022. "Forecasting the Value-at-Risk of energy commodities: A comparison of models and alternative distribution functions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 77-101.
    3. Salisu, Afees A. & Adediran, Idris A., 2019. "Assessing the inflation hedging potential of coal and iron ore in Australia," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    4. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Time-varying energy and stock market integration in Asia," Energy Economics, Elsevier, vol. 80(C), pages 777-792.
    5. Asl, Mahdi Ghaemi & Canarella, Giorgio & Miller, Stephen M., 2021. "Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies," Resources Policy, Elsevier, vol. 71(C).
    6. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    7. Jitmaneeroj, Boonlert, 2018. "The effect of the rebalancing horizon on the tradeoff between hedging effectiveness and transaction costs," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 282-298.
    8. Wang, Pengfei & Zhang, Wei & Li, Xiao & Shen, Dehua, 2019. "Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective," Finance Research Letters, Elsevier, vol. 31(C), pages 1-18.
    9. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    10. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    11. Maitra, Debasish & Rehman, Mobeen Ur & Dash, Saumya Ranjan & Kang, Sang Hoon, 2021. "Oil price volatility and the logistics industry: Dynamic connectedness with portfolio implications," Energy Economics, Elsevier, vol. 102(C).
    12. Dutta, Anupam, 2018. "Oil and energy sector stock markets: An analysis of implied volatility indexes," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 61-68.
    13. Iglesias-Casal, Ana & López-Penabad, María-Celia & López-Andión, Carmen & Maside-Sanfiz, José Manuel, 2020. "Diversification and optimal hedges for socially responsible investment in Brazil," Economic Modelling, Elsevier, vol. 85(C), pages 106-118.
    14. Avik Ghosh & Suvajit Banerjee, 2023. "Exploring the Relevance of Crude Oil Prices and Installed Generation Capacity in Prognosticating the NIFTY Energy Index," Millennial Asia, , vol. 14(4), pages 560-581, December.
    15. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2018. "Addressing COP21 using a stock and oil market integration index," Energy Policy, Elsevier, vol. 116(C), pages 127-136.
    16. Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021. "COVID−19 and oil price risk exposure," Finance Research Letters, Elsevier, vol. 42(C).
    17. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures related for Intra-Day Data?," Tinbergen Institute Discussion Papers 16-006/III, Tinbergen Institute.
    18. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
    19. Jingjian, Si & Xiangyun, Gao & Jinsheng, Zhou & Anjian, Wang & Xiaotian, Sun & Yiran, Zhao & Hongyu, Wei, 2023. "The impact of oil price shocks on energy stocks from the perspective of investor attention," Energy, Elsevier, vol. 278(PB).
    20. Narayan, Seema & Rehman, Mobeen Ur, 2021. "Can home-biased investors diversify interregionally in the long run?," Economic Modelling, Elsevier, vol. 97(C), pages 167-181.
    21. Lai, Shuying & Qiu, Jing & Tao, Yuechuan & Zhao, Junhua, 2021. "Risk hedging for gas power generation considering power-to-gas energy storage in three different electricity markets," Applied Energy, Elsevier, vol. 291(C).
    22. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    23. Urom, Christian & Guesmi, Khaled & Abid, Ilyes & Dagher, Leila, 2023. "Dynamic integration and transmission channels among interest rates and oil price shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 296-317.
    24. Daniel J. Tulloch & Ivan Diaz-Rainey & I. M. Premachandra, 2020. "Modelling Sector-Level Asset Prices," JRFM, MDPI, vol. 13(6), pages 1-32, June.
    25. Alqahtani, Faisal & Samargandi, Nahla & Kutan, Ali M., 2020. "The influence of oil prices on the banking sector in oil-exporting economies: Is there a psychological barrier?," International Review of Financial Analysis, Elsevier, vol. 69(C).
    26. K. Abhaya Kumar & Prakash Pinto & Iqbal Thonse Hawaldar & K. G. Ramesh, 2021. "Can Crude Oil Futures be the Good Hedging Tool for Tyre Equities? Evidence from India," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 523-537.
    27. Yajie Qi & Huajiao Li & Sui Guo & Sida Feng, 2019. "Dynamic Transmission of Correlation between Investor Attention and Stock Price: Evidence from China’s Energy Industry Typical Stocks," Complexity, Hindawi, vol. 2019, pages 1-15, December.
    28. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2023. "Insights of energy and its trade networking impacts on sustainable economic development," Energy, Elsevier, vol. 265(C).
    29. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Roman Lesyk & Lilia Lesyk, 2018. "Evaluation of the Adaptability of the Ukrainian Economy to Changes in Prices for Energy Carriers and to Energy Market Risks," Energies, MDPI, vol. 11(12), pages 1-34, December.
    30. Kim, Jong-Min & Jung, Hojin, 2017. "Can asymmetric conditional volatility imply asymmetric tail dependence?," Economic Modelling, Elsevier, vol. 64(C), pages 409-418.
    31. Jin Boon Wong & Qin Zhang, 2020. "Impact of international energy prices on China's industries," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 722-748, May.
    32. Jonek-Kowalska, Izabela, 2019. "Efficiency of Enterprise Risk Management (ERM) systems. Comparative analysis in the fuel sector and energy sector on the basis of Central-European companies listed on the Warsaw Stock Exchange," Resources Policy, Elsevier, vol. 62(C), pages 405-415.
    33. Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
    34. Liu, Xiaoxing & Shehzad, Khurram & Kocak, Emrah & Zaman, Umer, 2022. "Dynamic correlations and portfolio implications across stock and commodity markets before and during the COVID-19 era: A key role of gold," Resources Policy, Elsevier, vol. 79(C).
    35. Jin, Jiayu & Han, Liyan & Wu, Lei & Zeng, Hongchao, 2020. "The hedging effectiveness of global sectors in emerging and developed stock markets," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 92-117.
    36. Orlowski, Lucjan T., 2017. "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 133-141.
    37. Hassan, M. Kabir & Kamran, Muhammad & Djajadikerta, Hadrian Geri & Choudhury, Tonmoy, 2022. "Search for safe havens and resilience to global financial volatility: Response of GCC equity indexes to GFC and Covid-19," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

  18. Buchner, Axel & Wagner, Niklas F., 2017. "Rewarding risk-taking or skill? The case of private equity fund managers," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 14-32.

    Cited by:

    1. G. Chiesa & J. M. Mansilla-Fern ndez, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisi," Working Papers wp1124, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Karpavičius, Sigitas & Yu, Fan, 2018. "The impact of dividend-protected CEO equity incentives on firm value and risk," Economic Modelling, Elsevier, vol. 71(C), pages 16-24.
    3. Lu, Shuai & Li, Shouwei & Chen, Ning, 2022. "Robust return efficiency and herding behavior of fund managers," Finance Research Letters, Elsevier, vol. 46(PA).

  19. Narayan, Paresh Kumar & Thuraisamy, Kannan S. & Wagner, Niklas F., 2017. "How do bond, equity and commodity cycles interact?," Finance Research Letters, Elsevier, vol. 21(C), pages 151-156.

    Cited by:

    1. Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
    2. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    3. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Balcilar, Mehmet & Shahbaz, Muhammad, 2018. "Distribution specific dependence and causality between industry-level U.S. credit and stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 114-133.
    4. Sohag, Kazi & Shams, S.M. Riad & Gainetdinova, Anna & Nappo, Fabio, 2023. "Frequency connectedness and cross-quantile dependence among medicare, medicine prices and health-tech equity," Technovation, Elsevier, vol. 120(C).
    5. Yunus, Nafeesa, 2020. "Time-varying linkages among gold, stocks, bonds and real estate," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 165-185.
    6. Awasthi, Kritika & Ahmad, Wasim & Rahman, Abdul & Phani, B.V., 2020. "When US sneezes, clichés spread: How do the commodity index funds react then?," Resources Policy, Elsevier, vol. 69(C).
    7. Alqahtani, Abdullah & Klein, Tony, 2021. "Oil price changes, uncertainty, and geopolitical risks: On the resilience of GCC countries to global tensions," Energy, Elsevier, vol. 236(C).
    8. Fasanya, Ismail O. & Awodimila, Crystal P., 2020. "Are commodity prices good predictors of inflation? The African perspective," Resources Policy, Elsevier, vol. 69(C).
    9. Ouyang, Zi-sheng & Liu, Meng-tian & Huang, Su-su & Yao, Ting, 2022. "Does the source of oil price shocks matter for the systemic risk?," Energy Economics, Elsevier, vol. 109(C).
    10. Babalos, Vassilios & Balcilar, Mehmet, 2017. "Does institutional trading drive commodities prices away from their fundamentals: Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, vol. 21(C), pages 126-131.
    11. Orlowski, Lucjan T., 2017. "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 133-141.

  20. Kleine, Jens & Wagner, Niklas & Weller, Tim, 2016. "Openness endangers your wealth: Noise trading and the big five," Finance Research Letters, Elsevier, vol. 16(C), pages 239-247.

    Cited by:

    1. Choi, Paul Moon Sub & Choi, Joung Hwa & Chung, Chune Young, 2020. "Do individual traders undermine firm valuation?," Finance Research Letters, Elsevier, vol. 36(C).
    2. Thomas Noe & Nir Vulkan, 2018. "Naked aggression: Personality and portfolio manager performance," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.
    3. Firth, Chris & Stewart, Neil & Antoniou, Constantinos & Leake, David, 2023. "The effects of personality and IQ on portfolio outcomes," Finance Research Letters, Elsevier, vol. 51(C).
    4. Rupali Misra & Sumita Srivastava & D. K. Banwet, 2019. "Are type B investors efficacious? Exploring role of personality in ambidextrous investment decision-making," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(1), pages 27-34, March.
    5. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2021. "Collectors: Personality between consumption and investment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

  21. Buchner, Axel & Wagner, Niklas, 2016. "The betting against beta anomaly: Fact or fiction?," Finance Research Letters, Elsevier, vol. 16(C), pages 283-289.

    Cited by:

    1. Grobys, Klaus & Haga, Jesper, 2016. "Identifying portfolio-based systematic risk factors in equity markets," Finance Research Letters, Elsevier, vol. 17(C), pages 88-92.
    2. Sarika Rakhyani, 2021. "An empirical examination of beta anomaly in India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 191-206, June.

  22. Czauderna, Katrin & Riedel, Christoph & Wagner, Niklas, 2015. "Liquidity and conditional market returns: Evidence from German exchange traded funds," Economic Modelling, Elsevier, vol. 51(C), pages 454-459.

    Cited by:

    1. Ayad Assoil & Ndéné Ka & Jules Sadefo-Kamdem, 2021. "Analysis of the Dynamic Relationship between Liquidityproxies and returns on French CAC 40 index," Post-Print hal-03282991, HAL.
    2. Becker, Christoph, 2021. "The liquidity mechanics of dealer banks in the market-based credit system," Economic Modelling, Elsevier, vol. 105(C).
    3. Switzer, Lorne N. & Picard, Alan, 2016. "Stock market liquidity and economic cycles: A non-linear approach," Economic Modelling, Elsevier, vol. 57(C), pages 106-119.
    4. Francisco Javier Vasquez-Tejos & Prosper Lamothe Fernández, 2020. "Liquidity Risk and Stock Return in Latin American Emerging Markets," Investigación & Desarrollo 0420, Universidad Privada Boliviana, revised Nov 2020.

  23. Riedel, Christoph & Wagner, Niklas, 2015. "Is risk higher during non-trading periods? The risk trade-off for intraday versus overnight market returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 53-64.

    Cited by:

    1. Laurence E. Blose & Vijay Gondhalekar & Alan Kort, 2018. "Overnight versus day returns in gold and gold related assets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 526-549, July.
    2. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
    3. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    4. Qiao, Kenan & Dam, Lammertjan, 2020. "The overnight return puzzle and the “T+1” trading rule in Chinese stock markets," Journal of Financial Markets, Elsevier, vol. 50(C).
    5. Jamie Kang & Tim Leung, 2017. "Asynchronous ADRs: overnight vs intraday returns and trading strategies," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(4), pages 580-596, October.
    6. Zhang, Bing, 2020. "T+1 trading mechanism causes negative overnight return," Economic Modelling, Elsevier, vol. 89(C), pages 55-71.
    7. Saadon, Yossi & Schreiber, Ben Z., 2023. "Newspapers tone and the overnight-intraday stock return anomaly," Journal of Financial Markets, Elsevier, vol. 65(C).
    8. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
    9. Patrizia Perras & Niklas Wagner, 2020. "On the pricing of overnight market risk," Empirical Economics, Springer, vol. 59(3), pages 1307-1327, September.
    10. Mosi Rosenboim & Yossi Saadon & Ben Z. Schreiber, 2018. "“Much Ado about Nothing”? The Effect of Print Media Tone on Stock Indices," Bank of Israel Working Papers 2018.10, Bank of Israel.

  24. Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2014. "Multifractality and value-at-risk forecasting of exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 71-81.

    Cited by:

    1. Alam, Nafis & Arshad, Shaista & Rizvi, Syed Aun R., 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, Elsevier, vol. 31(C), pages 108-114.
    2. 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.
    3. Fu, Sibao & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2019. "Evolutionary support vector machine for RMB exchange rate forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 692-704.
    4. Yanlin Shi & Yang Yang, 2018. "Modeling High Frequency Data with Long Memory and Structural Change: A-HYEGARCH Model," Risks, MDPI, vol. 6(2), pages 1-28, March.
    5. 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.
    6. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    7. 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.
    8. 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).
    9. 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).
    10. Bogdan, Dima & Ştefana Maria, Dima & Roxana, Ioan, 2022. "A Value-at-Risk forecastability indicator in the framework of a Generalized Autoregressive Score with “Asymmetric Laplace Distribution”," Finance Research Letters, Elsevier, vol. 45(C).
    11. Zhang, Bangzheng & Wei, Yu & Yu, Jiang & Lai, Xiaodong & Peng, Zhenfeng, 2014. "Forecasting VaR and ES of stock index portfolio: A Vine copula method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 112-124.
    12. Samet Günay, 2016. "Performance of the Multifractal Model of Asset Returns (MMAR): Evidence from Emerging Stock Markets," IJFS, MDPI, vol. 4(2), pages 1-17, May.
    13. Ponomareva, Natalia & Sheen, Jeffrey & Wang, Ben Zhe, 2019. "Forecasting exchange rates using principal components," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    14. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    15. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    16. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    17. 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.
    18. Massimiliano Frezza & Sergio Bianchi & Augusto Pianese, 2022. "Forecasting Value-at-Risk in turbulent stock markets via the local regularity of the price process," Computational Management Science, Springer, vol. 19(1), pages 99-132, January.

  25. Harald Kinateder & Niklas Wagner, 2014. "Multiple-period market risk prediction under long memory: when VaR is higher than expected," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 15(1), pages 4-32, January.

    Cited by:

    1. Suleiman Ahmad Abubakar & Othman Mahmod & Daud Hanita & Abdullah Mohd Lazim & Kadir Evizal Abdul & Kane Ibrahim Lawal & Husin Abdullah, 2023. "Forecasting the Volatility of Real Residential Property Prices in Malaysia: A Comparison of Garch Models," Real Estate Management and Valuation, Sciendo, vol. 31(3), pages 20-31, September.

  26. Riedel, Christoph & Thuraisamy, Kannan S. & Wagner, Niklas, 2013. "Credit cycle dependent spread determinants in emerging sovereign debt markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 209-223.

    Cited by:

    1. Kinateder, Harald & Wagner, Niklas, 2017. "Quantitative easing and the pricing of EMU sovereign debt," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 1-12.
    2. Alfonso Dufour & Andrei Stancu & Simone Varotto, 2014. "The Equity-like Behaviour of Sovereign Bonds," ICMA Centre Discussion Papers in Finance icma-dp2014-16, Henley Business School, University of Reading.
    3. Kannan S. Thuraisamy, 2019. "The Credit Risk Dynamics Of International Bonds: The Indonesian Case," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 0(12th BMEB), pages 1-20, January.
    4. Gannon, Gerard L. & Thuraisamy, Kannan S., 2017. "Sovereign risk and the impact of crisis: Evidence from Latin AmericaAuthor-Name: Batten, Jonathan A," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 328-350.
    5. Kannan S. Thuraisamy, 2015. "Volatility Dynamics in the Term Structure of Latin American Sovereign International Bonds," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(5), pages 859-866, September.
    6. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Using connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 126-145.
    7. Ratha,Dilip K. & De,Supriyo & Kurlat,Sergio Andres & Ratha,Dilip K. & De,Supriyo & Kurlat,Sergio Andres, 2016. "Does governing law affect bond spreads ?," Policy Research Working Paper Series 7863, The World Bank.
    8. Kizys, Renatas & Paltalidis, Nikos & Vergos, Konstantinos, 2016. "The quest for banking stability in the euro area: The role of government interventions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 111-133.
    9. Giacomo Bulfone & Roberto Casarin & Francesco Ravazzolo, 2021. "Corporate CDS spreads from the Eurozone crisis to COVID-19 pandemic: A Bayesian Markov switching model," Working Paper series 21-09, Rimini Centre for Economic Analysis.
    10. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2020. "Markov-Switching Stochastic Processes in an Active Trading Algorithm in the Main Latin-American Stock Markets," Mathematics, MDPI, vol. 8(6), pages 1-22, June.
    11. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
    12. Batten, Jonathan A. & Jacoby, Gady & Liao, Rose C., 2014. "Corporate yield spreads and real interest rates," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 89-100.
    13. Westerlund, Joakim & Thuraisamy, Kannan, 2016. "Panel multi-predictor test procedures with an application to emerging market sovereign risk," Emerging Markets Review, Elsevier, vol. 28(C), pages 44-60.
    14. Özmen, Erdal & Doğanay Yaşar, Özge, 2016. "Emerging market sovereign bond spreads, credit ratings and global financial crisis," Economic Modelling, Elsevier, vol. 59(C), pages 93-101.

  27. Wagner, Niklas & Winter, Elisabeth, 2013. "A new family of equity style indices and mutual fund performance: Do liquidity and idiosyncratic risk matter?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 69-85.

    Cited by:

    1. Zaremba, Adam & Czapkiewicz, Anna, 2017. "Digesting anomalies in emerging European markets: A comparison of factor pricing models," Emerging Markets Review, Elsevier, vol. 31(C), pages 1-15.
    2. Javier Vidal-García & Marta Vidal & Duc Khuong Nguyen, 2016. "Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 213-247, August.
    3. Mason, Andrew & Agyei-Ampomah, Sam & Skinner, Frank, 2016. "Realism, skill, and incentives: Current and future trends in investment management and investment performance," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 31-40.
    4. Bredin, Don & Cuthbertson, Keith & Nitzsche, Dirk & Thomas, Dylan C., 2014. "Performance and performance persistence of UK closed-end equity funds," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 189-199.
    5. Moinak Maiti, 2019. "Is idiosyncratic risk ignored in asset pricing: Sri Lankan evidence?," Future Business Journal, Springer, vol. 5(1), pages 1-12, December.
    6. Parida, Sitikantha & Teo, Terence, 2018. "The impact of more frequent portfolio disclosure on mutual fund performance," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 427-445.
    7. Shahrin Saaid Shaharuddin & Wee-Yeap Lau & Rubi Ahmad, 2017. "New Islamic equity style indices: Constructing and testing the efficacy of information transmission," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1363355-136, January.

  28. Breitenfellner, Bastian & Wagner, Niklas, 2012. "Explaining aggregate credit default swap spreads," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 18-29.

    Cited by:

    1. Shih-Kang Chao & Wolfgang Karl Härdle & Hien Pham-Thu, 2014. "Credit Risk Calibration based on CDS Spreads," SFB 649 Discussion Papers SFB649DP2014-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Sorwar, Ghulam & Pappas, Vasileios & Pereira, John & Nurullah, Mohamed, 2016. "To debt or not to debt: Are Islamic banks less risky than conventional banks?," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 113-126.
    3. Alena Audzeyeva & Xu Wang, 2023. "Fundamentals, real-time uncertainty and CDS index spreads," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 1-33, July.
    4. Leppin, Julia S. & Reitz, Stefan, 2014. "The Role of a Changing Market Environment for Credit Default Swap Pricing," FinMaP-Working Papers 7, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    5. Hertrich, Markus, 2015. "Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets," MPRA Paper 67837, University Library of Munich, Germany.
    6. Khaled Guesmi & Abderrazak Dhaoui & Stéphane Goutte & Ilyes Abid, 2018. "On the determinants of industry-CDS index spreads: Evidence from a nonlinear setting," Post-Print halshs-02148926, HAL.
    7. Kizys, Renatas & Paltalidis, Nikos & Vergos, Konstantinos, 2016. "The quest for banking stability in the euro area: The role of government interventions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 111-133.
    8. Dodd, Olga & Kalimipalli, Madhu & Chan, Wing, 2021. "Evaluating corporate credit risks in emerging markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    9. Hayette Gatfaoui, 2017. "Equity market information and credit risk signaling: A quantile cointegrating regression approach," Post-Print hal-01745285, HAL.
    10. Shi, Yukun & Stasinakis, Charalampos & Xu, Yaofei & Yan, Cheng, 2022. "Market co-movement between credit default swap curves and option volatility surfaces," International Review of Financial Analysis, Elsevier, vol. 82(C).
    11. Khaldoun Maddallah Al-Qaisi & Rafat Mohd Soudki Al-Batayneh, 2017. "Credit Default Swap and Liquidity," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 697-700.
    12. Österholm, Pär, 2018. "The relation between treasury yields and corporate bond yield spreads in Australia: Evidence from VARs," Finance Research Letters, Elsevier, vol. 24(C), pages 186-192.
    13. Batten, Jonathan A. & Jacoby, Gady & Liao, Rose C., 2014. "Corporate yield spreads and real interest rates," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 89-100.
    14. 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.
    15. Pereira, John & Sorwar, Ghulam & Nurullah, Mohamed, 2018. "What drives corporate CDS spreads? A comparison across US, UK and EU firms," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 188-200.

  29. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.

    Cited by:

    1. Miroslav Mateev, 2019. "Volatility relation between credit default swap and stock market: new empirical tests," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 681-712, October.
    2. Benjamin Hippert & André Uhde & Sascha Tobias Wengerek, 2019. "Portfolio benefits of adding corporate credit default swap indices: evidence from North America and Europe," Review of Derivatives Research, Springer, vol. 22(2), pages 203-259, July.
    3. Yufeng Chen & Wenqi Li & Xi Jin, 2018. "Volatility Spillovers between Crude Oil Prices and New Energy Stock Price in China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 43-62, December.
    4. Wasim Ahmad & N.R. Bhanumurthy & Sanjay Sehgal, 2014. "The Eurozone crisis and its contagion effects on the European stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 31(3), pages 325-352, July.
    5. Riedel, Christoph & Thuraisamy, Kannan S. & Wagner, Niklas, 2013. "Credit cycle dependent spread determinants in emerging sovereign debt markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 209-223.
    6. Xun Huang & Fanyong Guo, 2021. "A kernel fuzzy twin SVM model for early warning systems of extreme financial risks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1459-1468, January.
    7. Wang, Ze & Gao, Xiangyun & An, Haizhong & Tang, Renwu & Sun, Qingru, 2020. "Identifying influential energy stocks based on spillover network," International Review of Financial Analysis, Elsevier, vol. 68(C).
    8. Belke, Ansgar & Gokus, Christian, 2011. "Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis – Evidence from Major Financial Institutions," Ruhr Economic Papers 243, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Theplib, Krit & Sethapramote, Yuthana & Jiranyakul, Komain, 2020. "Shock and Volatility Spillovers between Crude Oil Price and Stock Returns: Evidence for Thailand," MPRA Paper 98094, University Library of Munich, Germany.
    10. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).

  30. Breitenfellner, Bastian & Wagner, Niklas, 2010. "Government intervention in response to the subprime financial crisis: The good into the pot, the bad into the crop," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 289-297, September.

    Cited by:

    1. Ntim, Collins G. & Lindop, Sarah & Thomas, Dennis A., 2013. "Corporate governance and risk reporting in South Africa: A study of corporate risk disclosures in the pre- and post-2007/2008 global financial crisis periods," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 363-383.
    2. Nathalie Rey, 2012. "États et Systèmes financiers européens : une relation biaisée," Post-Print halshs-00697323, HAL.
    3. Catarina Fernandes & Jorge Farinha & Francisco Vitorino Martins & Cesario Mateus, 2018. "Bank governance and performance: a survey of the literature," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(3), pages 236-256, July.
    4. Chen, Shi & Chang, Chuen-Ping, 2015. "Should bank loan portfolio be diversified under government capital injection and deposit insurance fund protection?," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 131-141.
    5. Chang, Chuen-Ping & Chen, Shi, 2016. "Government capital injection, credit risk transfer, and bank performance during a financial crisis," Economic Modelling, Elsevier, vol. 53(C), pages 477-486.
    6. 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.
    7. Alsakka, Rasha & ap Gwilym, Owain, 2012. "Rating agencies' credit signals: An analysis of sovereign watch and outlook," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 45-55.
    8. Pami Dua & Divya Tuteja, 2016. "Contagion in International Stock and Currency Markets During Recent Crisis Episodes," Working papers 258, Centre for Development Economics, Delhi School of Economics.
    9. Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
    10. Chang, Chuen-Ping, 2012. "Default probability of a captive credit bank with government capital injections: A capped barrier option approach," Economic Modelling, Elsevier, vol. 29(6), pages 2444-2450.
    11. Mai, Nhat Chi, 2016. "The Influence Of Macroeconomic Announcements Into Vietnamese Stock Market Volatility," OSF Preprints ydmhx, Center for Open Science.
    12. Jou, Rosemary & Chen, Shi & Tsai, Jeng-Yan, 2017. "Politically connected lending, government capital injection, and bank performance," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 220-232.
    13. Dua, Pami & Tuteja, Divya, 2016. "Financial crises and dynamic linkages across international stock and currency markets," Economic Modelling, Elsevier, vol. 59(C), pages 249-261.
    14. Nathalie Rey, 2012. "European States and Financial Systems: A Biased Relationship," Post-Print halshs-00758892, HAL.
    15. Jacques, Sébastien & Lai, Van Son & Soumaré, Issouf, 2011. "Synthetizing a debt guarantee: Super-replication versus utility approach," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 27-40, January.
    16. Shi Chen & Jyh-Horng Lin & Wenyu Yao & Fu-Wei Huang, 2019. "CEO Overconfidence and Shadow-Banking Life Insurer Performance Under Government Purchases of Distressed Assets," Risks, MDPI, vol. 7(1), pages 1-25, March.
    17. Lin, Jyh-Horng & Tsai, Jeng-Yan & Hung, Wei-Ming, 2014. "Bank equity risk under bailout programs of loan guarantee and/or equity capital injection," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 263-274.
    18. Simlai, Prodosh, 2019. "Subprime credit, idiosyncratic risk, and foreclosures," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 175-189.
    19. Jyh-Jiuan Lin & Chuen-Ping Chang & Shi Chen, 2018. "How Does Distress Acquisition Incentivized by Government Purchases of Distressed Loans Affect Bank Default Risk?," Risks, MDPI, vol. 6(2), pages 1-16, April.
    20. Claudio Morana, 2013. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks: New Insights on the US OIS SPreads Term Structure," Working Papers 233, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    21. Chang, Chuen-Ping, 2014. "A barrier option framework for rescue package designs and bank default risks," Economic Modelling, Elsevier, vol. 38(C), pages 246-257.
    22. David Peón & Manel Antelo, 2019. "Do bad borrowers hurt good borrowers? A model of biased banking competition," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(1), pages 5-17, February.
    23. Simona-Gabriela MAŞCA, 2011. "The State and the Economy – Theoretical Aspects and Empirical Evidence for the EU," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(5(558)), pages 17-44, May.
    24. Ku-Jun Lin & Rosemary Jou & Tzu-Hao Lin, 2014. "A Barrier Option Utility Framework for Bank Interest Margin under Government Bailout," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 144-154, October.

  31. Junker, Markus & Szimayer, Alex & Wagner, Niklas, 2006. "Nonlinear term structure dependence: Copula functions, empirics, and risk implications," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1171-1199, April.
    See citations under working paper version above.
  32. Wagner, Niklas & Marsh, Terry A., 2005. "Measuring tail thickness under GARCH and an application to extreme exchange rate changes," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 165-185, January.
    See citations under working paper version above.
  33. Niklas Wagner & Terry Marsh, 2005. "Surprise volume and heteroskedasticity in equity market returns," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 153-168.
    See citations under working paper version above.
  34. Niklas Wagner & Warren Hogan & Jonathan Batten, 2005. "Interest Rates, Stock Returns and Credit Spreads: Evidence from German Eurobonds," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 34(1), pages 35-50, February.

    Cited by:

    1. Gady Jacoby & Chuan Liao & Jonathan A. Batten, 2007. "A Pure Test for the Elasticity of Yield Spreads," The Institute for International Integration Studies Discussion Paper Series iiisdp195, IIIS.
    2. Inwon Jang & David Kim, 2009. "The Dynamics of the Credit Spread and Monetary Policy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 109-131, May.
    3. Loncarski, Igor & Szilagyi, Peter G., 2012. "Empirical analysis of credit spread changes of US corporate bonds," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 12-19.

  35. Wagner, Niklas, 2005. "Autoregressive conditional tail behavior and results on Government bond yield spreads," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 247-261.

    Cited by:

    1. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    2. Daniele Massacci, 2017. "Tail Risk Dynamics in Stock Returns: Links to the Macroeconomy and Global Markets Connectedness," Management Science, INFORMS, vol. 63(9), pages 3072-3089, September.
    3. Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
    4. Lu Ou & Zhibiao Zhao, 2021. "Value‐at‐risk forecasting via dynamic asymmetric exponential power distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 291-300, March.
    5. Palumbo, D., 2021. "Testing and Modelling Time Series with Time Varying Tails," Cambridge Working Papers in Economics 2111, Faculty of Economics, University of Cambridge.
    6. Bollerslev, Tim & Todorov, Viktor, 2014. "Time-varying jump tails," Journal of Econometrics, Elsevier, vol. 183(2), pages 168-180.

  36. Wagner, Niklas, 2004. "Time-varying moments, idiosyncratic risk, and an application to hot-issue IPO aftermarket returns," Research in International Business and Finance, Elsevier, vol. 18(1), pages 59-72, April.

    Cited by:

    1. Kinateder, Harald & Fabich, Matthias & Wagner, Niklas, 2017. "Domestic mergers and acquisitions in BRICS countries: Acquirers and targets," Emerging Markets Review, Elsevier, vol. 32(C), pages 190-199.
    2. Pattitoni, Pierpaolo & Petracci, Barbara & Potì, Valerio & Spisni, Massimo, 2013. "Cost of entrepreneurial capital and under-diversification: A Euro-Mediterranean perspective," Research in International Business and Finance, Elsevier, vol. 27(1), pages 12-27.
    3. Dinh, Minh Thi Hong, 2017. "The returns, risk and liquidity relationship in high frequency trading: Evidence from the Oslo stock market," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 30-40.
    4. John Board & Alfonso Dufour & Charles Sutcliffe & Stephen Wells, 2005. "A False Perception? The relative riskiness of AIM and listed Stocks," ICMA Centre Discussion Papers in Finance icma-dp2006-01, Henley Business School, University of Reading.
    5. Vo, Lai Van & Le, Huong Thi Thu, 2017. "Strategic growth option, uncertainty, and R&D investment," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 16-24.

  37. Wagner, Niklas & Szimayer, Alexander, 2004. "Local and spillover shocks in implied market volatility: evidence for the U.S. and Germany," Research in International Business and Finance, Elsevier, vol. 18(3), pages 237-251, September.

    Cited by:

    1. Yoo, Eun Gyu & Yoon, Sun-Joong, 2020. "CBOE VIX and Jump-GARCH option pricing models," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 839-859.
    2. Dotsis, George & Psychoyios, Dimitris & Skiadopoulos, George, 2007. "An empirical comparison of continuous-time models of implied volatility indices," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3584-3603, December.
    3. Herrera, R. & Clements, A.E., 2018. "Point process models for extreme returns: Harnessing implied volatility," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 161-175.
    4. Äijö, Janne, 2008. "Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices," Global Finance Journal, Elsevier, vol. 18(3), pages 290-302.
    5. Dutta, Anupam, 2018. "Oil and energy sector stock markets: An analysis of implied volatility indexes," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 61-68.
    6. Khalil Jebran & Amjad Iqbal, 2016. "Examining volatility spillover between Asian countries’ stock markets," China Finance and Economic Review, Springer, vol. 4(1), pages 1-13, December.
    7. Nishimura, Yusaku & Sun, Bianxia, 2018. "The intraday volatility spillover index approach and an application in the Brexit vote," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 241-253.
    8. Yen-Hsien Lee, 2015. "Does the US Fear Gauge Impact on the Investor Fear Gauge in the Emerging Markets?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 197-209, December.
    9. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    10. Parhizgari, A.M. & Padungsaksawasdi, Chaiyuth, 2021. "Global equity market leadership positions through implied volatility measures," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 180-205.
    11. He, Chi-Wei & Chang, Kuang-Liang & Wang, Yung-Jang, 2020. "Does the jump risk in the US market matter for Japan and Hong Kong? An investigation on the REIT market," Finance Research Letters, Elsevier, vol. 34(C).
    12. Chen, Chun-Da & Chiang, Shu-Mei & Huang, Tze-Chin, 2020. "The contagion effects of volatility indices across the U.S. and Europe," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    13. Ji, Qiang & Fan, Ying, 2016. "Modelling the joint dynamics of oil prices and investor fear gauge," Research in International Business and Finance, Elsevier, vol. 37(C), pages 242-251.
    14. Jian, Zhihong & Wu, Shuai & Zhu, Zhican, 2018. "Asymmetric extreme risk spillovers between the Chinese stock market and index futures market: An MV-CAViaR based intraday CoVaR approach," Emerging Markets Review, Elsevier, vol. 37(C), pages 98-113.
    15. Juan M. Londono, 2011. "The variance risk premium around the world," International Finance Discussion Papers 1035, Board of Governors of the Federal Reserve System (U.S.).
    16. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.
    17. Bruce Budd, 2017. "Canaries in the coal mine. The tale of two signals: the VIX and the MOVE Indexes," Proceedings of Economics and Finance Conferences 4807778, International Institute of Social and Economic Sciences.
    18. Kenourgios, Dimitris, 2014. "On financial contagion and implied market volatility," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 21-30.
    19. Yue Peng & Wing Ng, 2012. "Analysing financial contagion and asymmetric market dependence with volatility indices via copulas," Annals of Finance, Springer, vol. 8(1), pages 49-74, February.
    20. Jun-Biao Lin, 2015. "Hedging Strategy Comparisons Of Volatility Index Options Using Diffusion Models," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(3), pages 59-69.
    21. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2019. "Dynamic Responses of Major Equity Markets to the US Fear Index," JRFM, MDPI, vol. 12(4), pages 1-23, September.
    22. Maaz Khan & Mrestyal Khan & Umar Nawaz Kayani & Khurrum Shahzad Mughal & Roohi Mumtaz, 2023. "Unveiling Market Connectedness: Dynamic Returns Spillovers in Asian Emerging Stock Markets," IJFS, MDPI, vol. 11(3), pages 1-21, September.
    23. Bo Jing & Shenghong Li & Yong Ma, 2020. "Pricing VIX options with volatility clustering," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 928-944, June.

  38. Niklas Wagner & Terry Marsh, 2004. "Tail index estimation in small smaples Simulation results for independent and ARCH-type financial return models," Statistical Papers, Springer, vol. 45(4), pages 545-561, October.

    Cited by:

    1. Jozef Barunik & Lukas Vacha, 2012. "Monte Carlo-based tail exponent estimator," Papers 1201.4781, arXiv.org.
    2. Ingo Hoffmann & Christoph J. Börner, 2021. "The risk function of the goodness-of-fit tests for tail models," Statistical Papers, Springer, vol. 62(4), pages 1853-1869, August.
    3. HAFNER Christian, & KYRIAKOPOULOU Dimitra,, 2019. "Exponential-type GARCH models with linear-in-variance risk premium," LIDAM Discussion Papers CORE 2019013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Beran, Jan & Schell, Dieter, 2012. "On robust tail index estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3430-3443.
    5. Michał Brzeziński, 2013. "Robust estimation of the Pareto index: A Monte Carlo Analysis," Working Papers 2013-32, Faculty of Economic Sciences, University of Warsaw.

  39. N Wagner, 2002. "On a model of portfolio selection with benchmark," Journal of Asset Management, Palgrave Macmillan, vol. 3(1), pages 55-65, July.

    Cited by:

    1. Citci, Haluk & Inci, Eren, 2012. "The Masquerade Ball of the CEOs and the Mask of Excessive Risk," MPRA Paper 35979, University Library of Munich, Germany.
    2. Li, Xuepeng & Xu, Fengmin & Jing, Kui, 2022. "Robust enhanced indexation with ESG: An empirical study in the Chinese Stock Market," Economic Modelling, Elsevier, vol. 107(C).
    3. Giulio PALOMBA & Luca RICCETTI, 2011. "Portfolio Frontiers with Restrictions to Tracking Error Volatility and Value at Risk," Working Papers 358, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Guo, Xu & Wong, Wing-Keung & Xu, Qunfang & Zhu, Xuehu, 2015. "Production and hedging decisions under regret aversion," Economic Modelling, Elsevier, vol. 51(C), pages 153-158.

Chapters

  1. Harald Kinateder & Niklas Wagner, 2011. "VaR Prediction under Long Memory in Volatility," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 123-128, Springer.

    Cited by:

    1. Ran Lu & Hongjun Zeng, 2022. "VIX and major agricultural future markets: dynamic linkage and time-frequency relations around the COVID-19 outbreak," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 334-353, September.

  2. Christoph Kaserer & Niklas Wagner & Ann-Kristin Achleitner, 2005. "Managing Investment Risks of Institutional Private Equity Investors — The Challenge of Illiquidity," Springer Books, in: Michael Frenkel & Markus Rudolf & Ulrich Hommel (ed.), Risk Management, edition 0, pages 259-277, Springer.

    Cited by:

    1. Buchner, Axel & Kaserer, Christoph & Wagner, Niklas, 2006. "Stochastic modeling of private equity: an equilibrium based approach to fund valuation," CEFS Working Paper Series 2006-02, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).

Books

  1. Jonathan A. Batten & Peter MacKay & Niklas Wagner (ed.), 2013. "Advances in Financial Risk Management," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-02509-8.

    Cited by:

    1. Tim Leung & Yoshihiro Shirai, 2015. "Optimal Derivative Liquidation Timing Under Path-Dependent Risk Penalties," Papers 1502.00358, arXiv.org.
    2. Prateek Sharma & Vipul, 2018. "Improving portfolio diversification: Identifying the right baskets for putting your eggs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(6), pages 698-711, September.
    3. Oberoi, Jaideep, 2018. "Interest rate risk management and the mix of fixed and floating rate debt," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 70-86.
    4. Bessler, Wolfgang & Conlon, Thomas & Huan, Xing, 2019. "Does corporate hedging enhance shareholder value? A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 222-232.
    5. Vasyl Golosnoy & Benno Hildebrandt & Steffen Köhler, 2019. "Modeling and Forecasting Realized Portfolio Diversification Benefits," JRFM, MDPI, vol. 12(3), pages 1-16, July.
    6. Panos Kouvelis & Xiaole Wu & Yixuan Xiao, 2019. "Cash Hedging in a Supply Chain," Management Science, INFORMS, vol. 65(8), pages 3928-3947, August.
    7. Leandro Maciel & Fernando Gomide & Rosangela Ballini, 2016. "Evolving Fuzzy-GARCH Approach for Financial Volatility Modeling and Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 379-398, October.
    8. Prateek SHARMA, 2017. "Economic value of portfolio diversification: Evidence from international multi-asset portfolios," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(613), W), pages 33-42, Winter.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.