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Stelios Bekiros

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.

    Mentioned in:

    1. Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models
      by Christian Zimmermann in NEP-DGE blog on 2015-12-31 21:28:19

Working papers

  1. Ali, Waris & Bekiros, Stelios & Hussain, Nazim & Khan, Sana Akbar & Nguyen, Duc Khuong, 2023. "Determinants and consequences of corporate social responsibility disclosure: a survey of extant literature," LSE Research Online Documents on Economics 118798, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Lina Mao & Guangfan Sun & Yining He & Huixia Chen & Changwei Guo, 2024. "Culture and Sustainability: Evidence from Tea Culture and Corporate Social Responsibility in China," Sustainability, MDPI, vol. 16(10), pages 1-17, May.
    2. Waris Ali & Zeeshan Mahmood & Jeffrey Wilson & Hina Ismail, 2024. "The impact of sustainability governance attributes on comprehensive CSR reporting: A developing country setting," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 1802-1817, May.
    3. De Vincentiis, Paola, 2024. "ESG news, stock volatility and tactical disclosure," Research in International Business and Finance, Elsevier, vol. 68(C).
    4. Guangfan Sun & Changwei Guo & Bin Li & Honglei Li, 2023. "Cultural inclusivity and corporate social responsibility in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    5. Zahra Adardour & Slimane Ed-Dafali & Muhammad Mohiuddin & Omar El Mortagi & Hicham Sbai & Brahim Bouzahir, 2025. "Exploring the drivers of environmental, social, and governance (ESG) disclosure in an emerging market context using a mixed methods approach," Future Business Journal, Springer, vol. 11(1), pages 1-23, December.
    6. Ahmed Taher & Amy Rizkalla, 2024. "How brand CSR responses to the pandemic impact brand value, growth, and rank," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.

  2. M. Vidal & J. Vidal-Garcia & S. Boubaker & S. Bekiros, 2022. "Short-Term Volatility Timing: A Cross-Country Study," Post-Print hal-04445062, HAL.

    Cited by:

    1. Gebka, Bartosz, 2025. "Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?," Economic Modelling, Elsevier, vol. 148(C).
    2. Alsubaiei, Bader Jawid & Calice, Giovanni & Vivian, Andrew, 2024. "How does oil market volatility impact mutual fund performance?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1601-1621.

  3. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Post-Print hal-02956380, HAL.

    Cited by:

    1. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    2. Li, Chuchu & Lin, Qin & Huang, Dong & Grifoll, Manel & Yang, Dong & Feng, Hongxiang, 2023. "Is entropy an indicator of port traffic predictability? The evidence from Chinese ports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    3. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    4. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    5. Zhang, Junting & Liu, Haifei & Bai, Wei & Li, Xiaojing, 2024. "A hybrid approach of wavelet transform, ARIMA and LSTM model for the share price index futures forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    6. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    7. Lu, Botao & Ma, Feng & Wang, Jiqian & Ding, Hui & Wahab, M.I.M., 2021. "Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 672-689.

  4. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Post-Print hal-02353094, HAL.

    Cited by:

    1. Abuzayed, Bana & Bouri, Elie & Al-Fayoumi, Nedal & Jalkh, Naji, 2021. "Systemic risk spillover across global and country stock markets during the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 180-197.
    2. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    3. Cesario Mateus & Miramir Bagirov & Irina Mateus, 2024. "Return and volatility connectedness and net directional patterns in spillover transmissions: East and Southeast Asian equity markets," International Review of Finance, International Review of Finance Ltd., vol. 24(1), pages 83-103, March.
    4. Won Joong Kim & Gunho Jung & Sun-Yong Choi, 2020. "Forecasting CDS Term Structure Based on Nelson–Siegel Model and Machine Learning," Complexity, Hindawi, vol. 2020, pages 1-23, July.
    5. Haithem Awijen & Younes Ben Zaied & Ahmed Imran Hunjra, 2023. "Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 561-587, August.
    6. Ren, Yi-Shuai & Klein, Tony & Jiang, Yong & Liu, Pei-Zhi & Weber, Olaf, 2025. "Dynamic connectedness between crude oil futures and energy industrial bond credit spread: Evidence from China," Energy Economics, Elsevier, vol. 143(C).
    7. Huynh, Toan Luu Duc & Foglia, Matteo & Doukas, John A., 2022. "COVID-19 and Tail-event Driven Network Risk in the Eurozone," Finance Research Letters, Elsevier, vol. 44(C).
    8. Siniša Bogdan & Natali Brmalj & Elvis Mujačević, 2023. "Impact of Liquidity and Investors Sentiment on Herd Behavior in Cryptocurrency Market," IJFS, MDPI, vol. 11(3), pages 1-17, July.
    9. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2022. "The dynamics and determinants of liquidity connectedness across financial asset markets," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 341-358.
    10. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022. "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, vol. 62(2), pages 825-852, February.
    11. Liu, Peipei & Huang, Wei-Qiang, 2022. "Modelling international sovereign risk information spillovers: A multilayer network approach," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    12. Ren, Yi-Shuai & Klein, Tony & Jiang, Yong, 2025. "Unveiling the asymmetric dynamic spillovers in industry bond credit risk: Is the energy industry the prime mover?," International Review of Financial Analysis, Elsevier, vol. 101(C).
    13. Elie Bouri & Oguzhan Cepni & David Gabauer & Rangan Gupta, 2020. "Return Connectedness across Asset Classes around the COVID-19 Outbreak," Working Papers 202047, University of Pretoria, Department of Economics.
    14. Zhizhen Chen & Guifen Shi & Boyang Sun, 2024. "Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models," Empirical Economics, Springer, vol. 67(6), pages 2463-2502, December.
    15. Huang, Wei-Qiang & Liu, Peipei, 2023. "Cross-market risk spillovers among sovereign CDS, stock, foreign exchange and commodity markets: An interacting network perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).
    16. Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020. "Predicting tail events in a RIA-EVT-Copula framework," Papers 2004.03190, arXiv.org, revised Apr 2020.
    17. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Xuan Vinh Vo, 2022. "Liquidity connectedness in cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    18. Ibhagui, Oyakhilome, 2021. "How do sovereign risk, equity and foreign exchange derivatives markets interact?," Economic Modelling, Elsevier, vol. 97(C), pages 58-78.

  5. Syed Jawad Hussain Shahzad & Naveed Raza & David Roubaud & Jose Arreola Hernandez & Stelios Bekiros, 2019. "Gold as Safe Haven for G-7 Stocks and Bonds: A Revisit," Post-Print hal-02352004, HAL.

    Cited by:

    1. Md Akhtaruzzaman & Sabri Boubaker & Brian M Lucey & Ahmet Sensoy, 2021. "Is gold a hedge or a safe-haven asset in the COVID–19 crisis?," Post-Print hal-04998990, HAL.
    2. Ali, Sajid & Bouri, Elie & Czudaj, Robert Lukas & Shahzad, Syed Jawad Hussain, 2020. "Revisiting the valuable roles of commodities for international stock markets," Resources Policy, Elsevier, vol. 66(C).
    3. Ustaoglu, Erkan, 2025. "Static and dynamic return and volatility connectedness between transportation tokens and transportation indices: Evidence from quantile connectedness approach," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    4. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Balli, Faruk & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency domain quantile coherence of emerging stock markets with gold and oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    5. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
    6. Mikhail Makushkin & Victor Lapshin, 2020. "Modelling tail dependencies between Russian and foreign stock markets: Application for market risk valuation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 30-52.
    7. T. G. Saji & V. P. Joshith & T. A. Binoy & K. Sravana, 2024. "Analyzing Nexus between Crude Oil, Gold, Dollar and Equity Markets with Structural Break: ARDL Evidence from India," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 572-581, May.
    8. Mirzat Ullah & Kazi Sohag & Farrukh Nawaz & Oleg Mariev & Umar Kayani & Igor Mayburov & Svetlana Doroshenko, 2024. "Impact of Oil Price Shocks on Crypto and Conventional Financial Assets during Financial Crises: Evidence from the Russian Financial Market," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 472-483, July.
    9. Owusu Amponsah, Dan & Abdullah, Mohammad & Joel Aikins Abakah, Emmanuel & Yindenaba Abor, Joshua & Lee, Chi-Chuan, 2025. "Multiscale tail risk integration between safe-haven assets and Africa’s emerging equity market," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    10. Enilov, Martin & Mensi, Walid & Stankov, Petar, 2023. "Does safe haven exist? Tail risks of commodity markets during COVID-19 pandemic," Journal of Commodity Markets, Elsevier, vol. 29(C).
    11. 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).
    12. Muhammad Abubakr Naeem & Saqib Farid & Safwan Mohd Nor & Syed Jawad Hussain Shahzad, 2021. "Spillover and Drivers of Uncertainty among Oil and Commodity Markets," Mathematics, MDPI, vol. 9(4), pages 1-26, February.
    13. Khaskheli, Asadullah & Zhang, Hongyu & Raza, Syed Ali & Khan, Komal Akram, 2022. "Assessing the influence of news indicator on volatility of precious metals prices through GARCH-MIDAS model: A comparative study of pre and during COVID-19 period," Resources Policy, Elsevier, vol. 79(C).
    14. Hoque, Mohammad Enamul & Billah, Mabruk & Alam, Md Rafayet & Tiwari, Aviral Kumar, 2024. "Gold-backed cryptocurrencies: A hedging tool against categorical and regional financial stress," Global Finance Journal, Elsevier, vol. 60(C).
    15. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Teplova, Tamara, 2023. "The relationship between global risk aversion and returns from safe-haven assets," Finance Research Letters, Elsevier, vol. 51(C).
    16. Yousaf, Imran & Assaf, Ata & Demir, Ender, 2024. "Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach," Research in International Business and Finance, Elsevier, vol. 69(C).

  6. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Ramzi Nekhili & Jahangir Sultan, 2020. "Jump Driven Risk Model Performance in Cryptocurrency Market," IJFS, MDPI, vol. 8(2), pages 1-18, April.

  7. Stelios Bekiros & Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Mobeen Ur Rehman, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Post-Print hal-01996787, HAL.

    Cited by:

    1. Satish Kumar & Rabeh Khalfaoui & Aviral Kumar Tiwari, 2021. "Does geopolitical risk improve the directional predictability from oil to stock returns? Evidence from oil-exporting and oil-importing countries," Post-Print hal-03797578, HAL.
    2. Narayan, Paresh Kumar & Liu, Ruipeng, 2018. "A new GARCH model with higher moments for stock return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 93-103.
    3. Jiang, Shangwei & Jin, Xiu, 2021. "Effects of investor sentiment on stock return volatility: A spatio-temporal dynamic panel model," Economic Modelling, Elsevier, vol. 97(C), pages 298-306.
    4. Marlon Fritz & Thomas Gries & Lukas Wiechers, 2024. "An early indicator for anomalous stock market performance," Quantitative Finance, Taylor & Francis Journals, vol. 24(1), pages 105-118, January.
    5. Mobeen Ur Rehman & Sajid Ali & Syed Jawad Hussain Shahzad, 2020. "Asymmetric Nonlinear Impact of Oil Prices and Inflation on Residential Property Prices: a Case of US, UK and Canada," The Journal of Real Estate Finance and Economics, Springer, vol. 61(1), pages 39-54, June.
    6. Syed Jawad Hussain Shahzad & Dene Hurley & Román Ferrer, 2021. "U.S. stock prices and macroeconomic fundamentals: Fresh evidence using the quantile ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3569-3587, July.
    7. Troster, Victor & Bouri, Elie & Roubaud, David, 2019. "A quantile regression analysis of flights-to-safety with implied volatilities," Resources Policy, Elsevier, vol. 62(C), pages 482-495.
    8. Si, Deng-Kui & Liu, Xi-Hua & Kong, Xianli, 2019. "The comovement and causality between stock market cycle and business cycle in China: Evidence from a wavelet analysis," Economic Modelling, Elsevier, vol. 83(C), pages 17-30.
    9. Mo, Bin & Chen, Cuiqiong & Nie, He & Jiang, Yonghong, 2019. "Visiting effects of crude oil price on economic growth in BRICS countries: Fresh evidence from wavelet-based quantile-on-quantile tests," Energy, Elsevier, vol. 178(C), pages 234-251.
    10. Asgari, Heshmatolah & Moridian, Ali, 2023. "Investigating the Role of Human Capital and Shadow Economy in the Impact of Natural Resource Rent on Income Inequality with Regime Change (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), Institute for Management and Planning studies, vol. 28(4), pages 75-110, December.
    11. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).

  8. Syed Jawad Hussain Shahzad & Jose Arreola Hernandez & Stelios Bekiros & Muhammad Shahbaz & Ghulam Mujtaba Kayani, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Post-Print hal-01989649, HAL.

    Cited by:

    1. Wang, Bo & Xiao, Yang, 2023. "Risk spillovers from China's and the US stock markets during high-volatility periods: Evidence from East Asianstock markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    2. Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
    3. Hamza, Taher & Ben Haj Hamida, Hayet & Mili, Mehdi & Sami, Mina, 2024. "High inflation during Russia–Ukraine war and financial market interaction: Evidence from C-Vine Copula and SETAR models," Research in International Business and Finance, Elsevier, vol. 70(PB).
    4. Abuzayed, Bana & Bouri, Elie & Al-Fayoumi, Nedal & Jalkh, Naji, 2021. "Systemic risk spillover across global and country stock markets during the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 180-197.
    5. Maziar Sahamkhadam & Andreas Stephan, 2023. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for global financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2139-2166, December.
    6. Huiting Duan & Jinghu Yu & Linxiao Wei, 2024. "Measurement and Forecasting of Systemic Risk: A Vine Copula Grouped-CoES Approach," Mathematics, MDPI, vol. 12(8), pages 1-18, April.
    7. 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).
    8. Ahmed, Walid M.A., 2019. "Islamic and conventional equity markets: Two sides of the same coin, or not?," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 191-205.
    9. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    10. Prachi Jain & Debasish Maitra, 2025. "Commodity Price Crash Risk and Crash Risk Contagion," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(4), pages 343-378, April.
    11. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    12. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    13. Dai, Xingyu & Wang, Qunwei & Zha, Donglan & Zhou, Dequn, 2020. "Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach," Energy Economics, Elsevier, vol. 88(C).
    14. 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).
    15. Rehman, Mobeen Ur & Asghar, Nadia & Kang, Sang Hoon, 2020. "Do Islamic indices provide diversification to bitcoin? A time-varying copulas and value at risk application," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    16. Faisal Alqahtani & Nader Trabelsi & Nahla Samargandi & Syed Jawad Hussain Shahzad, 2020. "Tail Dependence and Risk Spillover from the US to GCC Banking Sectors," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    17. Quanrui Song & Jianxu Liu & Songsak Sriboonchitta, 2019. "Risk Measurement of Stock Markets in BRICS, G7, and G20: Vine Copulas versus Factor Copulas," Mathematics, MDPI, vol. 7(3), pages 1-16, March.
    18. Zehri, Chokri, 2021. "Stock market comovements: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    19. 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.
    20. Billah, Mabruk & Hadhri, Sinda & Shaik, Muneer & Balli, Faruk, 2024. "Asymmetric connectedness and investment strategies between commodities and Islamic banks: Evidence from gulf cooperative council (GCC) markets," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    21. Ghallabi, Fahmi & Yousaf, Imran & Ghorbel, Ahmed & Li, Yanshuang, 2024. "Time-varying risk spillovers between renewable energy and Islamic stock markets: Evidence from the Russia-Ukraine conflict," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    22. Suleman, Muhammad Tahir & McIver, Ron & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness between Islamic stock and commodity markets," Global Finance Journal, Elsevier, vol. 49(C).
    23. Xiaoming Zhang & Wenzhe Zhang & Chien‐Chiang Lee, 2025. "Bank leverage and systemic risk: Impact of bank risk‐taking and inter‐bank business," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1450-1474, April.
    24. Rehman, Mobeen Ur & Katsiampa, Paraskevi & Zeitun, Rami & Vo, Xuan Vinh, 2023. "Conditional dependence structure and risk spillovers between Bitcoin and fiat currencies," Emerging Markets Review, Elsevier, vol. 55(C).
    25. Joel Hinaunye Eita & Charles Raoul Tchuinkam Djemo, 2022. "Quantifying Foreign Exchange Risk in the Selected Listed Sectors of the Johannesburg Stock Exchange: An SV-EVT Pairwise Copula Approach," IJFS, MDPI, vol. 10(2), pages 1-29, April.
    26. Shuting Liu & Qifa Xu & Cuixia Jiang, 2021. "Systemic risk of China’s commercial banks during financial turmoils in 2010-2020: A MIDAS-QR based CoVaR approach," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1600-1609, October.

  9. Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Stelios Bekiros & Mobeen Ur Rehman, 2018. "Risk transmitters and receivers in global currency markets," Post-Print hal-01814274, HAL.

    Cited by:

    1. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
    2. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2022. "Liquidity spillover in foreign exchange markets," Finance Research Letters, Elsevier, vol. 44(C).
    3. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
    4. Nissinen, Juuso, 2024. "Cross-country spillover effects of interest rate and credit constraint policies," Finance Research Letters, Elsevier, vol. 66(C).
    5. Libo Yin & Jing Nie, 2021. "Intermediary asset pricing in currency carry trade returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1241-1267, August.
    6. Chuliá, Helena & Koser, Christoph & Uribe, Jorge M., 2021. "Analyzing the Nonlinear Pricing of Liquidity Risk according to the Market State," Finance Research Letters, Elsevier, vol. 38(C).
    7. Jiang, Xue & Li, Sai-Ping & Mai, Yong & Tian, Tao, 2022. "Study of multinational currency co-movement and exchange rate stability base on network game," Finance Research Letters, Elsevier, vol. 47(PA).
    8. Ur Rehman, Mobeen & Al Rababa'a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Vo, Xuan Vinh, 2022. "Modelling the quantile cross-coherence between exchange rates: Does the COVID-19 pandemic change the interlinkage structure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

  10. BEKIROS, Stelios D.; NILAVONGSE, Rachatar; UDDIN, Gazi S., 2017. "Mortgage Defaults, Expectation-Driven House Prices and Monetary Policy," Economics Working Papers ECO 2017/09, European University Institute.

    Cited by:

    1. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).

  11. Stelios Bekiros & Shawkat Hammoudeh & Rania Jammazi & Duc Khuong Nguyen, 2017. "Sovereign Bond Market Dependencies and Crisis Transmission around the Eurozone Debt Crisis: A Dynamic Copula Approach," Working Papers 2017-008, Department of Research, Ipag Business School.

    Cited by:

    1. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    2. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    3. Dimic, Nebojsa & Piljak, Vanja & Swinkels, Laurens & Vulanovic, Milos, 2021. "The structure and degree of dependence in government bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    4. Filiz Mızrak & Serhat Yüksel, 2019. "Significant Determiners of Greek Debt Crisis: A Comparative Analysis with Probit and MARS Approaches," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 8(3), pages 33-50, July.
    5. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    7. Elsayed, Ahmed H. & Sohag, Kazi & Sousa, Ricardo M., 2024. "Oil shocks and financial stability in MENA countries," Resources Policy, Elsevier, vol. 89(C).
    8. Li, Haiping & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "The relationship between oil and financial markets in emerging economies: The significant role of Kazakhstan as the oil exporting country," Finance Research Letters, Elsevier, vol. 32(C).

  12. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.

    Cited by:

    1. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    2. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    3. Lenhle Dlamini & Harold Ngalawa, 2022. "Macroprudential policy and house prices in an estimated Dynamic Stochastic General Equilibrium model for South Africa," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 304-336, June.
    4. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    5. Liu, Guangling & Molise, Thabang, 2019. "Housing and credit market shocks: Exploring the role of rule-based Basel III counter-cyclical capital requirements," Economic Modelling, Elsevier, vol. 82(C), pages 264-279.
    6. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    7. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2020. "Expectation-driven house prices and debt defaults: The effectiveness of monetary and macroprudential policies," Journal of Financial Stability, Elsevier, vol. 49(C).
    8. Abdi, N. & Aminikhah, H. & Sheikhani, A.H. Refahi, 2022. "High-order compact finite difference schemes for the time-fractional Black-Scholes model governing European options," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    9. Caraiani, Petre & Luik, Marc-André & Wesselbaum, Dennis, 2020. "Credit policy and asset price bubbles," Journal of Macroeconomics, Elsevier, vol. 65(C).
    10. Eric Jondeau & Michael Rockinger, 2019. "Predicting Long‐Term Financial Returns: VAR versus DSGE Model—A Horse Race," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2239-2291, December.

  13. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.

    Cited by:

    1. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    2. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
    3. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2016. "The Impact of US Uncertainty on the Euro Area in Good and Bad Times: Evidence from a Quantile Structural Vector Autoregressive Model," Working Papers 201681, University of Pretoria, Department of Economics.
    4. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
    5. Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    6. Ahmed, Ali & Granberg, Mark & Troster, Victor & Uddin, Gazi Salah, 2020. "Asymmetric Dynamics between Uncertainty and Unemployment Flows in the United States," LiU Working Papers in Economics 7, Linköping University, Division of Economics, Department of Management and Engineering.
    7. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2020. "A Note on Uncertainty due to Infectious Diseases and Output Growth of the United States: A Mixed-Frequency Forecasting Experiment," Working Papers 202050, University of Pretoria, Department of Economics.
    8. Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
    9. Christian Pierdzioch & Rangan Gupta, 2017. "Uncertainty and Forecasts of U.S. Recessions," Working Papers 201732, University of Pretoria, Department of Economics.
    10. Rangan Gupta & Christian Pierdzioch & Afees A. Salisu, 2020. "Oil-Price Uncertainty and the U.K. Unemployment Rate: A Forecasting Experiment with Random Forests Using 150 Years of Data," Working Papers 202095, University of Pretoria, Department of Economics.
    11. Agata Kliber & Magdalena Szyszko & Mariusz Próchniak & Aleksandra Rutkowska, 2023. "Impact of uncertainty on inflation forecast errors in Central and Eastern European countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 535-574, December.
    12. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    13. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    14. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.
    15. Tihana Škrinjarić, 2023. "Credit-to-GDP Gap Estimates in Real Time: A Stable Indicator for Macroprudential Policy Making in Croatia," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(3), pages 582-614, September.

  14. Aviral Kumar Tiwari & Rangan Gupta & Stelios Bekiros, 2016. "Chaos in G7 Stock Markets using Over One Century of Data: A Note," Working Papers 201678, University of Pretoria, Department of Economics.

    Cited by:

    1. Hamdi, Besma & Aloui, Mouna & Alqahtani, Faisal & Tiwari, Aviral, 2019. "Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis," Energy Economics, Elsevier, vol. 80(C), pages 536-552.
    2. Tatyana A. Alexeeva & William A. Barnett & Nikolay V. Kuznetsov & Timur N. Mokaev, 2020. "Dynamics of the Shapovalov mid-size firm model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202007, University of Kansas, Department of Economics, revised Apr 2020.
    3. Giuseppe Orlando & Michele Bufalo, 2021. "Empirical Evidences on the Interconnectedness between Sampling and Asset Returns’ Distributions," Risks, MDPI, vol. 9(5), pages 1-35, May.
    4. Baogui Xin & Wei Peng & Yekyung Kwon, 2019. "A fractional-order difference Cournot duopoly game with long memory," Papers 1903.04305, arXiv.org.
    5. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Phouphet Kyophilavong, 2021. "Nonlinearities and Chaos: A New Analysis of CEE Stock Markets," Mathematics, MDPI, vol. 9(7), pages 1-13, March.

  15. Stelios Bekiros & Rangan Gupta & Clement Kyei, 2015. "On Economic Uncertainty, Stock Market Predictability and Nonlinear Spillover Effects," Working Papers 201508, University of Pretoria, Department of Economics.

    Cited by:

    1. Duca, John V. & Saving, Jason L., 2018. "What drives economic policy uncertainty in the long and short runs: European and U.S. evidence over several decades," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 128-145.
    2. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
    3. Cró, Susana & Martins, António Miguel, 2017. "Structural breaks in international tourism demand: Are they caused by crises or disasters?," Tourism Management, Elsevier, vol. 63(C), pages 3-9.
    4. Stelios Bekiros & Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Mobeen Ur Rehman, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Post-Print hal-01996787, HAL.
    5. Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
    6. Bakhtiar Javaheri & Fateh habibi & Ramin Amani, 2022. "Economic policy uncertainty and the US stock market trading: non-ARDL evidence," Future Business Journal, Springer, vol. 8(1), pages 1-10, December.
    7. Christou, Christina & Gupta, Rangan, 2020. "Forecasting equity premium in a panel of OECD countries: The role of economic policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 243-248.
    8. Bhatia, Vaneet & Das, Debojyoti & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "Do precious metal spot prices influence each other? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 55(C), pages 244-252.
    9. Xiao-Li Gong & Hao-Yang Ning & Xiong Xiong, 2025. "Research on the cross-contagion between international stock markets and geopolitical risks: the two-layer network perspective," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-32, December.
    10. Wang, Xinyu & Luo, Yi & Wang, Zhuqing & Xu, Yan & Wu, Congxin, 2021. "The impact of economic policy uncertainty on volatility of China’s financial stocks: An empirical analysis," Finance Research Letters, Elsevier, vol. 39(C).
    11. Serdar Ongan & Ismet Gocer, 2017. "Testing The Causalities Between Economic Policy Uncertainty And The Us Stock Indices: Applications Of Linear And Nonlinear Approaches," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-20, December.
    12. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2019. "The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility," MPRA Paper 96577, University Library of Munich, Germany.
    13. Shabir Mohsin Hashmi & Muhammad Akram Gilal & Wing-Keung Wong, 2021. "Sustainability of Global Economic Policy and Stock Market Returns in Indonesia," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    14. Ahmad, Wasim & Sharma, Sumit Kumar, 2018. "Testing output gap and economic uncertainty as an explicator of stock market returns," Research in International Business and Finance, Elsevier, vol. 45(C), pages 293-306.
    15. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    16. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
    17. Tahir Suleman & Rangan Gupta & Mehmet Balcilar, 2016. "Does Country Risks Predict Stock Returns and Volatility? Evidence from a Nonparametric Approach," Working Papers 201675, University of Pretoria, Department of Economics.
    18. Edson VENGESAI & Adefemi A. OBALADE & Paul-Francois MUZINDUTSI, 2021. "Country Risk Dynamics and Stock Market Volatility: Evidence from the JSE Cross-Sector Analysis," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 5(2), pages 63-84.
    19. Shao, Ying-Hui & Yang, Yan-Hong & Zhou, Wei-Xing, 2022. "How does economic policy uncertainty comove with stock markets: New evidence from symmetric thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    20. Lei, Adrian C.H. & Song, Chen, 2022. "Economic policy uncertainty and stock market activity: Evidence from China," Global Finance Journal, Elsevier, vol. 52(C).
    21. Helseth, Marius Aleksander Emblem & Krakstad, Svein Olav & Molnár, Peter & Norlin, Karl-Martin, 2020. "Can policy and financial risk predict stock markets?," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 701-719.
    22. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    23. Ahmed Bouteska & Taimur Sharif & Mohammad Zoynul Abedin, 2024. "Does investor sentiment create value for asset pricing? An empirical investigation of the KOSPI‐listed firms," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3487-3509, July.
    24. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    25. Ma, Dan & Zhu, Yanjin, 2024. "The impact of economic uncertainty on carbon emission: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    26. Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2017. "Oil Price Shocks and Policy Uncertainty: New Evidence on the Effects of US and non-US Oil Production," Globalization Institute Working Papers 295, Federal Reserve Bank of Dallas.
    27. Tan, Xueping & Zhong, Yiran & Vivian, Andrew & Geng, Yong & Wang, Ziyi & Zhao, Difei, 2024. "Towards an era of multi-source uncertainty: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    28. Li, Xiyang & Chen, Xiaoyue & Li, Bin & Singh, Tarlok & Shi, Kan, 2022. "Predictability of stock market returns: New evidence from developed and developing countries," Global Finance Journal, Elsevier, vol. 54(C).
    29. Güngör Arifenur & Güngör Mahmut Sami, 2024. "The Nexus Between Economic Policy Uncertainty and Stock Market Volatility in the CEE-3 Countries," South East European Journal of Economics and Business, Sciendo, vol. 19(2), pages 60-81.
    30. Liang, Chin Chia & Troy, Carol & Rouyer, Ellen, 2020. "U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    31. Zhang, Meihui & Jia, Jinhong & Zheng, Xiangcheng, 2023. "Numerical approximation and fast implementation to a generalized distributed-order time-fractional option pricing model," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    32. Douglas de Medeiros Franco, 2022. "Expectations, Economic Uncertainty, and Sentiment," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(5), pages 210029-2100.
    33. Mensi, Walid & Rehman, Mobeen Ur & Hammoudeh, Shawkat & Vo, Xuan Vinh & Kim, Won Joong, 2023. "How macroeconomic factors drive the linkages between inflation and oil markets in global economies? A multiscale analysis," International Economics, Elsevier, vol. 173(C), pages 212-232.
    34. Rangan Gupta & Anandamayee Majumdar & Mark E. Wohar, 2017. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence From a Quantile Predictive Regression Approach," Open Economies Review, Springer, vol. 28(1), pages 47-59, February.
    35. Wu, Chao & Zhao, Ke & Liu, Jinquan & Zhao, Xiuyi, 2024. "Cross-country spillovers of trade uncertainty and their formation mechanisms," Finance Research Letters, Elsevier, vol. 66(C).
    36. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    37. Helena Chuliá & Rangan Gupta & Jorge M. Uribe & Mark E. Wohar, 2016. "Impact of US Uncertainties on Emerging and Mature Markets: Evidence from a Quantile-Vector Autoregressive Approach," Working Papers 201656, University of Pretoria, Department of Economics.
    38. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    39. Su, Zhi & Fang, Tong & Yin, Libo, 2019. "Understanding stock market volatility: What is the role of U.S. uncertainty?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 582-590.
    40. Radu Valentin & Neacsu Andrei-Costin & Neacsu George-Alexandru & Bichir Antonela & Tabirca Alina-Iuliana & Croitoru Ionut-Marius & Mihai Danut-Georgian, 2024. "Economic Impacts Of Energy Price Shocks In The Eu Driven By Crises," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 127-140, June.
    41. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    42. Christina Christou & Juncal Cunado & Rangan Gupta & Christis Hassapis, 2016. "Economic Policy Uncertainty and Stock Market Returns in Pacific-Rim Countries: Evidence based on a Bayesian Panel VAR Model," Working Papers 201661, University of Pretoria, Department of Economics.
    43. Ismail Olaleke Fasanya Oluwatomisin Oyewole Taofeek Agbatogun, 2019. "Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(2), pages 71-94, November.
    44. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    45. Ruzhao Gao & Yancai Zhao & Bing Zhang, 2021. "The spillover effects of economic policy uncertainty on the oil, gold, and stock markets: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2134-2141, April.
    46. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    47. Zhang, Yahui & Liu, Li, 2018. "The lead-lag relationships between spot and futures prices of natural gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 203-211.
    48. Das, Debojyoti & Kumar, Surya Bhushan & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "On the relationship of gold, crude oil, stocks with financial stress: A causality-in-quantiles approach," Finance Research Letters, Elsevier, vol. 27(C), pages 169-174.
    49. Guo-Feng Fan & Ruo-Tong Zhang & Cen-Cen Cao & Li-Ling Peng & Yi-Hsuan Yeh & Wei-Chiang Hong, 2024. "The volatility mechanism and intelligent fusion forecast of new energy stock prices," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-37, December.
    50. Mehmet Balcilar & Deven Bathia & Riza Demirer & Rangan Gupta, 2017. "Credit Ratings and Predictability of Stock Returns and Volatility of the BRICS and the PIIGS: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201719, University of Pretoria, Department of Economics.
    51. Kirikkaleli, Dervis, 2020. "The effect of domestic and foreign risks on an emerging stock market: A time series analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  16. Mehmet Balcilar & Rangan Gupta & STELIOS BEKIROS, 2015. "The Role Of News-Based Uncertainty Indices In Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method," Working Papers 15-02, Eastern Mediterranean University, Department of Economics.

    Cited by:

    1. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    2. Anwer, Zaheer & Khan, Muhammad Arif & Hassan, M. Kabir & Singh, Manjeet Kaur Harnek, 2024. "Assessing dynamic co-movement of news based uncertainty indices and distance-to -default of global FinTech firms," Research in International Business and Finance, Elsevier, vol. 71(C).
    3. Nikolaos Antonakakis & Mehmet Balcilar & Elie Bouri & Rangan Gupta, 2017. "Is Wine a Safe-Haven? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201708, University of Pretoria, Department of Economics.
    4. Qingxiang Han & Mengxi He & Yaojie Zhang & Muhammad Umar, 2023. "Default return spread: A powerful predictor of crude oil price returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1786-1804, November.
    5. Wu, Bi-Bo, 2021. "The dynamics of oil on China’s commodity sectors: What can we learn from a quantile perspective?," Journal of Commodity Markets, Elsevier, vol. 23(C).
    6. Mehmet Balcilar & Zeynel Abidin Ozdemir & Muhammad Shahbaz & Serkan Gunes, 2018. "Does inflation cause gold market price changes? evidence on the G7 countries from the tests of nonparametric quantile causality in mean and variance," Applied Economics, Taylor & Francis Journals, vol. 50(17), pages 1891-1909, April.
    7. Shi, Chunpei & Wei, Yu & Li, Xiafei & Liu, Yuntong, 2023. "Combination forecasts of China's oil futures returns based on multiple uncertainties and their connectedness with oil," Energy Economics, Elsevier, vol. 126(C).
    8. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir, 2021. "Dynamic return and volatility spillovers among S&P 500, crude oil, and gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 153-170, January.
    9. Yuan, Di & Li, Sufang & Li, Rong & Zhang, Feipeng, 2022. "Economic policy uncertainty, oil and stock markets in BRIC: Evidence from quantiles analysis," Energy Economics, Elsevier, vol. 110(C).
    10. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    11. Arshian Sharif & Subhan Ullah & Muhammad Shahbaz & Mantu Kumar Mahalik, 2021. "Sustainable tourism development and globalization: Recent insights from the United States," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 957-973, September.
    12. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations”," AQR Working Papers 201803, University of Barcelona, Regional Quantitative Analysis Group, revised Jun 2018.
    13. Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis G., 2021. "Non-linear causal linkages of EPU and gold with major cryptocurrencies during bull and bear markets," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    14. Bos, Martijn & Demirer, Riza & Gupta, Rangan & Tiwari, Aviral Kumar, 2018. "Oil returns and volatility: The role of mergers and acquisitions," Energy Economics, Elsevier, vol. 71(C), pages 62-69.
    15. Yi‐Ting Peng & Tsangyao Chang & Omid Ranjbar, 2022. "Analyzing the degree of persistence of economic policy uncertainty using linear and non‐linear fourier quantile unit root tests," Manchester School, University of Manchester, vol. 90(4), pages 453-471, July.
    16. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    17. Al-Thaqeb, Saud Asaad & Algharabali, Barrak Ghanim, 2019. "Economic policy uncertainty: A literature review," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    18. Feng, Hao & Gao, Da & Duan, Kun & Urquhart, Andrew, 2023. "Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework," International Review of Financial Analysis, Elsevier, vol. 89(C).
    19. Mehmet Balcilar & Matteo Bonato & Riza Demirer & Rangan Gupta, 2016. "The Effect of Investor Sentiment on Gold Market Dynamics," Working Papers 201638, University of Pretoria, Department of Economics.
    20. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    21. Muhammad Umar & Abraham Ayobamiji Awosusi & Oluwatayomi Rereloluwa Adegboye & Opeoluwa Seun Ojekemi, 2024. "Geothermal energy and carbon emissions nexus in leading geothermal-consuming nations: Evidence from nonparametric analysis," Energy & Environment, , vol. 35(5), pages 2726-2752, August.
    22. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    23. Huabin Bian & Renhai Hua & Qingfu Liu & Ping Zhang, 2022. "Petroleum market volatility tracker in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2022-2040, November.
    24. Pham, Hung Manh & Chu, Lan Khanh & Hoang, Dung Phuong, 2024. "What makes environment-related technologies less effective? The role of uncertainty," Economic Systems, Elsevier, vol. 48(4).
    25. Farid, Saqib & Zafar, Quratulain, 2024. "Impact of economic policy uncertainty on global carbon emissions," Research in Economics, Elsevier, vol. 78(2).
    26. Rangan Gupta & Chi Keung Marco Lau & Seong-Min Yoon, 2017. "OPEC News Announcement Effect on Volatility in the Crude Oil Market: A Reconsideration," Working Papers 201754, University of Pretoria, Department of Economics.
    27. Sami Ullah & Rundong Luo & Tomiwa Sunday Adebayo & Mustafa Tevfik Kartal, 2023. "Dynamics between environmental taxes and ecological sustainability: Evidence from top‐seven green economies by novel quantile approaches," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 825-839, April.
    28. Demirer, Riza & Gupta, Rangan & Suleman, Tahir & Wohar, Mark E., 2018. "Time-varying rare disaster risks, oil returns and volatility," Energy Economics, Elsevier, vol. 75(C), pages 239-248.
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    151. Portella-Carbó, Ferran & Pérez-Montiel, Jose & Ozcelebi, Oguzhan, 2023. "Tourism-led economic growth across the business cycle: Evidence from Europe (1995–2021)," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1241-1253.
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    Cited by:

    1. Wu, Tao & Gao, Xiangyun & An, Sufang & Liu, Siyao, 2021. "Time-varying pattern causality inference in global stock markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
    2. Zhang, Hua & Chen, Jinyu & Shao, Liuguo, 2021. "Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19," International Review of Financial Analysis, Elsevier, vol. 77(C).
    3. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    4. Patrick Kanda & Michael Burke & Rangan Gupta, 2017. "Time-Varying Causality between Equity and Currency Returns in the United Kingdom: Evidence from Over Two Centuries of Data," Working Papers 201778, University of Pretoria, Department of Economics.
    5. Kuang, Peng-Cheng, 2021. "Measuring information flow among international stock markets: An approach of entropy-based networks on multi time-scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    6. Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
    7. 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).
    8. Gong, Chen & Tang, Pan & Wang, Yutong, 2019. "Measuring the network connectedness of global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    9. Wen, Danyan & Wang, Yudong, 2021. "Volatility linkages between stock and commodity markets revisited: Industry perspective and portfolio implications," Resources Policy, Elsevier, vol. 74(C).
    10. R. Basurto-Flores & L. Guzmán-Vargas & S. Velasco & A. Medina & A. Calvo Hernandez, 2018. "On entropy research analysis: cross-disciplinary knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 123-139, October.
    11. J. Arismendi-Zambrano & R. Azevedo, 2020. "Implicit Entropic Market Risk-Premium from Interest Rate Derivatives," Economics Department Working Paper Series n303-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    12. Wang, Xinya & Liu, Huifang & Huang, Shupei, 2019. "Identification of the daily seasonality in gold returns and volatilities: Evidence from Shanghai and London," Resources Policy, Elsevier, vol. 61(C), pages 522-531.
    13. Yongli Li & Guanghe Liu & Paolo Pin, 2018. "Network-based risk measurements for interbank systems," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    14. Ahmed Ayadi & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2021. "Equity-Commodity Contagion During Four Recent Crises: Evidence from the USA, Europe and the BRICS," Working Papers halshs-03169699, HAL.
    15. Chen, Yanhua & Pantelous, Athanasios A., 2022. "The U.S.-China trade conflict impacts on the Chinese and U.S. stock markets: A network-based approach," Finance Research Letters, Elsevier, vol. 46(PB).
    16. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
    17. Xiurong Chen & Yixiang Tian & Rubo Zhao, 2017. "Study of the cross-market effects of Brexit based on the improved symbolic transfer entropy GARCH model—An empirical analysis of stock–bond correlations," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-14, August.
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    20. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
    21. Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
    22. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
    23. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    24. Frank Emmert-Streib & Aliyu Musa & Kestutis Baltakys & Juho Kanniainen & Shailesh Tripathi & Olli Yli-Harja & Herbert Jodlbauer & Matthias Dehmer, 2017. "Computational Analysis of the structural properties of Economic and Financial Networks," Papers 1710.04455, arXiv.org.
    25. Choi, Insu & Kim, Woo Chang, 2024. "A temporal information transfer network approach considering federal funds rate for an interpretable asset fluctuation prediction framework," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    26. Yang, Jie & Feng, Yun & Yang, Hao, 2024. "The spillover and comovement of downside and upside tail risks among crude oil futures markets," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    27. Yahya, Muhammad & Oglend, Atle & Dahl, Roy Endré, 2019. "Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach," Energy Economics, Elsevier, vol. 80(C), pages 277-296.
    28. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    29. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    30. Mensi, Walid & Hkiri, Besma & Al-Yahyaee, Khamis H. & Kang, Sang Hoon, 2018. "Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 74-102.
    31. Jose N. Paredes & Gerardo I. Simari & Maria Vanina Martinez & Marcelo A. Falappa, 2021. "NetDER: An Architecture for Reasoning About Malicious Behavior," Information Systems Frontiers, Springer, vol. 23(1), pages 185-201, February.
    32. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    33. Torri, Gabriele & Giacometti, Rosella & Paterlini, Sandra, 2018. "Robust and sparse banking network estimation," European Journal of Operational Research, Elsevier, vol. 270(1), pages 51-65.
    34. Uddin, Gazi Salah & Yahya, Muhammad & Park, Donghyun & Hedström, Axel & Tian, Shu, 2024. "Bond market spillover networks of ASEAN-4 markets: Is the global pandemic different?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1028-1044.
    35. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    36. Wang, Xiaoxuan & Gao, Xiangyun & Wu, Tao & Sun, Xiaotian, 2022. "Dynamic multiscale analysis of causality among mining stock prices," Resources Policy, Elsevier, vol. 77(C).
    37. Busu, Cristian & Busu, Mihail, 2019. "Modeling the predictive power of the singular value decomposition-based entropy. Empirical evidence from the Dow Jones Global Titans 50 Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    38. Nguyen, Quynh Nga & Aboura, Sofiane & Chevallier, Julien & Zhang, Lyuyuan & Zhu, Bangzhu, 2020. "Local Gaussian correlations in financial and commodity markets," European Journal of Operational Research, Elsevier, vol. 285(1), pages 306-323.
    39. Maryam Johari & Seyyed-Mahdi Hosseini-Motlagh, 2024. "An evolutionary game theory approach for analyzing risk-based financing schemes," Annals of Operations Research, Springer, vol. 336(3), pages 1637-1660, May.
    40. Ponta, Linda & Carbone, Anna, 2018. "Information measure for financial time series: Quantifying short-term market heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 132-144.
    41. Rahman, Md Lutfur & Troster, Victor & Uddin, Gazi Salah & Yahya, Muhammad, 2022. "Systemic risk contribution of banks and non-bank financial institutions across frequencies: The Australian experience," International Review of Financial Analysis, Elsevier, vol. 79(C).
    42. Gupta, Rangan & Yoon, Seong-Min, 2018. "OPEC news and predictability of oil futures returns and volatility: Evidence from a nonparametric causality-in-quantiles approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 206-214.
    43. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    44. Wang, Faming & Rong, Xueyun & Yin, Lei, 2024. "The uncertainty of fluctuation correlations in global stock markets," Finance Research Letters, Elsevier, vol. 66(C).
    45. Xiao, Di & Wang, Jun, 2020. "Dynamic complexity and causality of crude oil and major stock markets," Energy, Elsevier, vol. 193(C).
    46. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    47. Jamshid Ardalankia & Jafar Askari & Somaye Sheykhali & Emmanuel Haven & G. Reza Jafari, 2020. "Mapping Coupled Time-series Onto Complex Network," Papers 2004.13536, arXiv.org, revised Aug 2020.
    48. Mengyu Wang & Shay B. Cohen & Tiejun Ma, 2024. "Modeling News Interactions and Influence for Financial Market Prediction," Papers 2410.10614, arXiv.org.
    49. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    50. Jingran Zhu & Qinghua Song & Dalia Streimikiene, 2020. "Multi-Time Scale Spillover Effect of International Oil Price Fluctuation on China’s Stock Markets," Energies, MDPI, vol. 13(18), pages 1-29, September.
    51. Brian M. Lucey & Maurice Peat & Aleksandar Šević & Samuel A. Vigne, 2021. "What is the optimal weight for gold in a portfolio?," Annals of Operations Research, Springer, vol. 297(1), pages 277-291, February.
    52. Bowen Zhang & Jinping Lin & Man Luo & Changxian Zeng & Jiajia Feng & Meiqi Zhou & Fuying Deng, 2022. "Changes in Public Sentiment under the Background of Major Emergencies—Taking the Shanghai Epidemic as an Example," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    53. Wan, Yu-fan & Wang, Ming-hui & Wu, Feng-lin, 2025. "Greater fragility, greater exposure: A network-based analysis of climate policy uncertainty shocks and G20 stock markets stability," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    54. Xiurong Chen & Aimin Hao & Yali Li, 2020. "The impact of financial contagion on real economy-An empirical research based on combination of complex network technology and spatial econometrics model," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.
    55. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    56. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
    57. Marfatia, Hardik & Zhao, Wan-Li & Ji, Qiang, 2020. "Uncovering the global network of economic policy uncertainty," Research in International Business and Finance, Elsevier, vol. 53(C).
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  18. Stelios D. Bekiros & Alessia Paccagnini, 2015. "Macroprudential policy and forecasting using Hybrid DSGE models with financial frictions and State space Markov-Switching TVP-VARs," Open Access publications 10197/7333, School of Economics, University College Dublin.

    Cited by:

    1. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2018. "Limited Asset Market Participation and the Euro Area Crisis. An Empirical DSGE Model," Working Papers 391, University of Milano-Bicocca, Department of Economics, revised Nov 2018.
    2. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    4. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2014. "Estimating a DSGE model with Limited Asset Market Participation for the Euro Area," Working Papers 286, University of Milano-Bicocca, Department of Economics, revised Nov 2014.
    5. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.
    6. Jonathan Benchimol & André Fourçans, 2017. "Money and monetary policy in the Eurozone: an empirical analysis during crises," Post-Print hal-01525492, HAL.
    7. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    8. Stelios D. Bekiros & Rangan Gupta & Alessia Paccagnini, 2015. "Oil price forecastability and economic uncertainty," Open Access publications 10197/7345, School of Economics, University College Dublin.
    9. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    10. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
    11. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    12. Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, vol. 7(3), pages 1-43, July.

  19. Stelios Bekiros & Rangan Gupta & Clement Kyei, 2015. "A Nonlinear Approach for Predicting Stock Returns and Volatility with the Use of Investor Sentiment Indices," Working Papers 201536, University of Pretoria, Department of Economics.

    Cited by:

    1. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    2. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
    3. Zachary McGurk & Adam Nowak & Joshua C. Hall, 2019. "Stock Returns and Investor Sentiment: Textual Analysis and Social Media," Working Papers 19-03, Department of Economics, West Virginia University.
    4. Yamini Yadav & Pramod Kumar Naik, 2024. "Investors’ Irrational Sentiment and Stock Market Returns: A Quantile Regression Approach Using Indian Data," Business Perspectives and Research, , vol. 12(1), pages 45-64, January.
    5. Mehmet Balcilar & Rangan Gupta & Clement Kyei, 2018. "Predicting Stock Returns And Volatility With Investor Sentiment Indices: A Reconsideration Using A Nonparametric Causality†In†Quantiles Test," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 74-87, January.
    6. Naeem, Muhammad Abubakr & Farid, Saqib & Faruk, Balli & Shahzad, Syed Jawad Hussain, 2020. "Can happiness predict future volatility in stock markets?," Research in International Business and Finance, Elsevier, vol. 54(C).
    7. Chi-Wei Su & Xu-Yu Cai & Ran Tao, 2020. "Can Stock Investor Sentiment Be Contagious in China?," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    8. Rilwan Sakariyahu & Mohamed Sherif & Audrey Paterson & Eleni Chatzivgeri, 2021. "Sentiment‐Apt investors and UK sector returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3321-3351, July.
    9. Rameeza Andleeb & Arshad Hassan, 2023. "Impact of Investor Sentiment on Contemporaneous and Future Equity Returns in Emerging Markets," SAGE Open, , vol. 13(3), pages 21582440231, August.
    10. Ftiti, Zied & Hadhri, Sinda, 2019. "Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 40-55.
    11. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
    12. Nabila Jawadi & Fredj Jawadi & Abdoulkarim Idi Cheffou, 2020. "Computing the Time-Varying Effects of Investor Attention in Islamic Stock Returns," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 131-143, June.
    13. Rameeza Andleeb & Arshad Hassan, 2023. "Predictive effect of investor sentiment on current and future returns in emerging equity markets," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-15, May.
    14. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    15. Deng, Chao & Zhou, Xiaoying & Peng, Cheng & Zhu, Huiming, 2022. "Going green: Insight from asymmetric risk spillover between investor attention and pro-environmental investment," Finance Research Letters, Elsevier, vol. 47(PA).
    16. Lao, Jiashun & Nie, He & Jiang, Yonghong, 2018. "Revisiting the investor sentiment–stock returns relationship: A multi-scale perspective using wavelets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 420-427.

  20. Stelios Bekiros & Rangan Gupta & Anandamayee Majumdar, 2015. "Incorporating Economic Policy Uncertainty in US Equity Premium Models: A Nonlinear Predictability Analysis," Working Papers 201545, University of Pretoria, Department of Economics.

    Cited by:

    1. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    2. Bulent Diclehan Cadirci & Mustafa Tekdere, 2022. "The Effect of Economic Uncertainty on the Tax Wedge: The Case of Selected OECD Countries," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-2), pages 787-822, December.
    3. Ming Fang & Chiu-Lan Chang, 2022. "Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2423-2443, November.
    4. Mehmet Balcilar & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2016. "Differences of Opinion and Stock Market Volatility: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201668, University of Pretoria, Department of Economics.
    5. 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.
    6. Shabir, Mohsin & Jiang, Ping & Hashmi, Shujahat Haider & Bakhsh, Satar, 2022. "Non-linear nexus between economic policy uncertainty and bank lending," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 657-679.
    7. Arshian Sharif & Subhan Ullah & Muhammad Shahbaz & Mantu Kumar Mahalik, 2021. "Sustainable tourism development and globalization: Recent insights from the United States," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 957-973, September.
    8. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2022. "Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data," Energies, MDPI, vol. 15(22), pages 1-26, November.
    9. Chen, Wen-Yi & Chen, Mei-Ping, 2022. "Twitter’s daily happiness sentiment, economic policy uncertainty, and stock index fluctuations," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    10. Christou, Christina & Gupta, Rangan, 2020. "Forecasting equity premium in a panel of OECD countries: The role of economic policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 243-248.
    11. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    12. Mehmet Balcilar & Matteo Bonato & Riza Demirer & Rangan Gupta, 2016. "Geopolitical Risks and Stock Market Dynamics of the BRICS," Working Papers 201648, University of Pretoria, Department of Economics.
    13. Rangan Gupta & Marian Risse & David A. Volkman & Mark E. Wohar, 2017. "The Role of Term Spread and Pattern Changes in Predicting Stock Returns and Volatility of the United Kingdom: Evidence from a Nonparametric Causality-in-Quantiles Test Using Over 250 Years of Data," Working Papers 201755, University of Pretoria, Department of Economics.
    14. Giray Gozgor & Ender Demir, 2017. "Excess stock returns, oil shocks, and policy uncertainty in the U.S," Economics Bulletin, AccessEcon, vol. 37(2), pages 741-755.
    15. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    16. Rehman, Mobeen Ur, 2018. "Do oil shocks predict economic policy uncertainty?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 123-136.
    17. Aariya Sen & Swarn Rajan, 2024. "You are uncertain and we are at stress! How does monetary policy uncertainty affect financial stress? The case of the US and G7," International Economics and Economic Policy, Springer, vol. 21(4), pages 749-769, October.
    18. Kang, Wensheng & de Gracia, Fernando Perez & Ratti, Ronald A., 2019. "The asymmetric response of gasoline prices to oil price shocks and policy uncertainty," Energy Economics, Elsevier, vol. 77(C), pages 66-79.
    19. Jun Wen & Samia Khalid & Hamid Mahmood & Xiuyun Yang, 2022. "Economic policy uncertainty and growth nexus in Pakistan: a new evidence using NARDL model," Economic Change and Restructuring, Springer, vol. 55(3), pages 1701-1715, August.
    20. Badshah, Ihsan & Demirer, Riza & Suleman, Muhammad Tahir, 2019. "The effect of economic policy uncertainty on stock-commodity correlations and its implications on optimal hedging," Energy Economics, Elsevier, vol. 84(C).
    21. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2019. "The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility," MPRA Paper 96577, University Library of Munich, Germany.
    22. Song, Lu & Tian, Gengyu & Jiang, Yonghong, 2022. "Connectedness of commodity, exchange rate and categorical economic policy uncertainties — Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    23. Zhao, Linhai & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Xuyen, Nguyen Thi My & Phan, Thi Thu Hien, 2022. "Enhancing green economic recovery through green bonds financing and energy efficiency investments," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 488-501.
    24. 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).
    25. Golab, Anna & Bannigidadmath, Deepa & Pham, Thach Ngoc & Thuraisamy, Kannan, 2022. "Economic policy uncertainty and industry return predictability – Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 433-447.
    26. Gupta, Rangan & Huber, Florian & Piribauer, Philipp, 2020. "Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    27. Salokhiddin Avazkhodjaev & Nont Dhiensiri & Farkhod Mukhamedov, 2024. "Does Green Energy Investment Effects on Islamic and Conventional Stock Markets? New Evidence from Advanced Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 592-602, January.
    28. Tahir Suleman & Rangan Gupta & Mehmet Balcilar, 2016. "Does Country Risks Predict Stock Returns and Volatility? Evidence from a Nonparametric Approach," Working Papers 201675, University of Pretoria, Department of Economics.
    29. Nicholas Apergis & Tasawar Hayat & Tareq Saeed, 2021. "Cyclicality of commodity markets with respect to the U.S. economic policy uncertainty based on granger causality in quantiles," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    30. Zeng, Qing & Lu, Xinjie & Dong, Dayong & Li, Pan, 2022. "Category-specific EPU indices, macroeconomic variables and stock market return predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
    31. Helseth, Marius Aleksander Emblem & Krakstad, Svein Olav & Molnár, Peter & Norlin, Karl-Martin, 2020. "Can policy and financial risk predict stock markets?," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 701-719.
    32. Tsai, I-Chun, 2018. "Flash crash and policy uncertainty," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 248-260.
    33. Huang, Wei-Ling & Lin, Wen-Yuan & Ning, Shao-Lin, 2020. "The effect of economic policy uncertainty on China’s housing market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    34. Yu, Honghai & Fang, Libing & Du, Donglei & Yan, Panpan, 2017. "How EPU drives long-term industry beta," Finance Research Letters, Elsevier, vol. 22(C), pages 249-258.
    35. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    36. Salisu, Afees A. & Shaik, Muneer, 2022. "Islamic Stock indices and COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 282-293.
    37. Salokhiddin Avazkhodjaev & Mavluda Askarova & Nargiza Achilova & Madina Jalolova & Sitora Amirdjanova & Charoskhon Otajonova, 2024. "Assessing the Role of Sharia-Compliant Investments in Promoting Clean Energy and Sustainable Economic Development: A Study of Asia’s Financial and Renewable Energy Sectors," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 513-522, November.
    38. Hong, Yun & Zhang, Rushan & Zhang, Feipeng, 2024. "Time-varying causality impact of economic policy uncertainty on stock market returns: Global evidence from developed and emerging countries," International Review of Financial Analysis, Elsevier, vol. 91(C).
    39. Tan, Xueping & Zhong, Yiran & Vivian, Andrew & Geng, Yong & Wang, Ziyi & Zhao, Difei, 2024. "Towards an era of multi-source uncertainty: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    40. Yonghong Jiang & Gengyu Tian & Yiqi Wu & Bin Mo, 2022. "Impacts of geopolitical risks and economic policy uncertainty on Chinese tourism‐listed company stock," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 320-333, January.
    41. Nonejad, Nima, 2021. "Predicting equity premium using news-based economic policy uncertainty: Not all uncertainty changes are equally important," International Review of Financial Analysis, Elsevier, vol. 77(C).
    42. Hu, Zinan & Borjigin, Sumuya, 2024. "The amplifying role of geopolitical Risks, economic policy Uncertainty, and climate risks on Energy-Stock market volatility spillover across economic cycles," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    43. Li, Dakai & Zhang, Fan & Li, Xuezhi, 2022. "Can U.S. trade policy uncertainty help in predicting stock market excess return?," Finance Research Letters, Elsevier, vol. 49(C).
    44. Matthew W. Clance & Giray Gozgor & Rangan Gupta & Chi Keung Marco Lau, 2019. "The Relationship between Economic Uncertainty and Corporate Tax Rates," Working Papers 201945, University of Pretoria, Department of Economics.
    45. Chen, Juan & Ma, Feng & Qiu, Xuemei & Li, Tao, 2023. "The role of categorical EPU indices in predicting stock-market returns," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 365-378.
    46. Rehman, Mobeen Ur & Kang, Sang Hoon, 2021. "A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets," Global Finance Journal, Elsevier, vol. 49(C).
    47. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    48. Rangan Gupta & Anandamayee Majumdar & Mark E. Wohar, 2017. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence From a Quantile Predictive Regression Approach," Open Economies Review, Springer, vol. 28(1), pages 47-59, February.
    49. Salokhiddin Avazkhodjaev & Jaloliddin Usmonov & M ria Bohdalov & Wee-Yeap Lau, 2022. "The Causal Nexus between Renewable Energy, CO2 Emissions, and Economic Growth: New Evidence from CIS Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 248-260, November.
    50. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    51. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    52. Rangan Gupta & John W. Muteba Mwamba & Mark E. Wohar, 2016. "The Role of Partisan Conflict in Forecasting the U.S. Equity Premium: A Nonparametric Approach," Working Papers 201686, University of Pretoria, Department of Economics.
    53. Helena Chuliá & Rangan Gupta & Jorge M. Uribe & Mark E. Wohar, 2016. "Impact of US Uncertainties on Emerging and Mature Markets: Evidence from a Quantile-Vector Autoregressive Approach," Working Papers 201656, University of Pretoria, Department of Economics.
    54. Salokhiddin Avazkhodjaev & Farkhod Mukhamedov & Jaloliddin Usmonov, 2022. "Do Energy and Gold Markets Interact with Islamic Stocks? Evidence from the Asia-Pacific Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 197-208, May.
    55. Lee, Chi-Chuan & Lee, Chien-Chiang, 2020. "Insurance activity, real output, and geopolitical risk: Fresh evidence from BRICS," Economic Modelling, Elsevier, vol. 92(C), pages 207-215.
    56. Mehmet Balcilar & Esin Cakan & Rangan Gupta, 2016. "Does U.S. News Impact Asian Emerging Markets? Evidence from Nonparametric Causality-in-Quantiles Test," Working Papers 201631, University of Pretoria, Department of Economics.
    57. 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.
    58. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Safwan Mohd Nor, 2020. "Geopolitical Risk and Tourism Stocks of Emerging Economies," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    59. Gu, Rongbao & Liu, Shengnan, 2022. "Nonlinear analysis of economic policy uncertainty: Based on the data in China, the US and the global," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    60. Godil, Danish Iqbal & Sarwat, Salman & Sharif, Arshian & Jermsittiparsert, Kittisak, 2020. "How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique," Resources Policy, Elsevier, vol. 66(C).
    61. Rehman, Mobeen Ur & Sensoy, Ahmet & Eraslan, Veysel & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2021. "Sensitivity of US equity returns to economic policy uncertainty and investor sentiments," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    62. Tanveer Bagh & Abdul Waheed & Muhammad Asif Khan & Mirza Muhammad Naseer, 2023. "Effect of Economic Policy Uncertainty on China’s Stock Price Index: A Comprehensive Analysis Using Wavelet Coherence Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.
    63. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    64. Christina Christou & Juncal Cunado & Rangan Gupta & Christis Hassapis, 2016. "Economic Policy Uncertainty and Stock Market Returns in Pacific-Rim Countries: Evidence based on a Bayesian Panel VAR Model," Working Papers 201661, University of Pretoria, Department of Economics.
    65. Michele Costola & Michael Donadelli & Luca Gerotto & Ivan Gufler, 2022. "Global risks, the macroeconomy, and asset prices," Empirical Economics, Springer, vol. 63(5), pages 2357-2388, November.
    66. Nonejad, Nima, 2023. "Modeling the out-of-sample predictive relationship between equity premium, returns on the price of crude oil and economic policy uncertainty using multivariate time-varying dimension models," Energy Economics, Elsevier, vol. 126(C).
    67. Dang, Dandan & Fang, Hongsheng & He, Minyuan, 2019. "Economic policy uncertainty, tax quotas and corporate tax burden: Evidence from China," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    68. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    69. Junxiao Gui & Nathee Naktnasukanjn & Xi Yu & Siva Shankar Ramasamy, 2024. "Research on the Impact of Economic Policy Uncertainty and Investor Sentiment on the Growth Enterprise Market Return in China—An Empirical Study Based on TVP-SV-VAR Model," IJFS, MDPI, vol. 12(4), pages 1-20, October.
    70. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    71. Ruzhao Gao & Yancai Zhao & Bing Zhang, 2021. "The spillover effects of economic policy uncertainty on the oil, gold, and stock markets: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2134-2141, April.
    72. Pavitra Dhamija, 2020. "Economic Development and South Africa: 25 Years Analysis (1994 to 2019)," South African Journal of Economics, Economic Society of South Africa, vol. 88(3), pages 298-322, September.
    73. Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017. "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, vol. 21(C), pages 214-221.
    74. Batabyal, Sourav & Killins, Robert, 2021. "Economic policy uncertainty and stock market returns: Evidence from Canada," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    75. Sinha, Avik & Mishra, Shekhar & Sharif, Arshian & Yarovaya, Larisa, 2021. "Does Green Financing help to improve the Environmental & Social Responsibility? Designing SDG framework through Advanced Quantile modelling," MPRA Paper 108150, University Library of Munich, Germany, revised 2021.
    76. Mehmet Balcilar & Deven Bathia & Riza Demirer & Rangan Gupta, 2017. "Credit Ratings and Predictability of Stock Returns and Volatility of the BRICS and the PIIGS: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201719, University of Pretoria, Department of Economics.
    77. Kais Tissaoui & Taha Zaghdoudi & Abdelaziz Hakimi & Ousama Ben-Salha & Lamia Ben Amor, 2022. "Does Uncertainty Forecast Crude Oil Volatility before and during the COVID-19 Outbreak? Fresh Evidence Using Machine Learning Models," Energies, MDPI, vol. 15(15), pages 1-20, August.

  21. Stelios Bekiros & Rangan Gupta, 2015. "Predicting Stock Returns and Volatility Using Consumption-Aggregate Wealth Ratios: A Nonlinear Approach," Working Papers 201505, University of Pretoria, Department of Economics.

    Cited by:

    1. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
    2. Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2017. "Do cay and cayMS predict stock and housing returns? Evidence from a nonparametric causality test," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 269-279.
    3. Tissaoui, Kais & Azibi, Jamel, 2019. "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 65-84.
    4. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    5. Rangan Gupta & Anandamayee Majumdar & Mark E. Wohar, 2017. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence From a Quantile Predictive Regression Approach," Open Economies Review, Springer, vol. 28(1), pages 47-59, February.
    6. 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.

  22. Stelios Bekiros & Rangan Gupta & Alessia Paccagnini, 2015. "Oil Price Forecastability and Economic Uncertainty," Working Papers 298, University of Milano-Bicocca, Department of Economics, revised Apr 2015.

    Cited by:

    1. Shi, Chunpei & Wei, Yu & Li, Xiafei & Liu, Yuntong, 2023. "Combination forecasts of China's oil futures returns based on multiple uncertainties and their connectedness with oil," Energy Economics, Elsevier, vol. 126(C).
    2. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
    3. Bos, Martijn & Demirer, Riza & Gupta, Rangan & Tiwari, Aviral Kumar, 2018. "Oil returns and volatility: The role of mergers and acquisitions," Energy Economics, Elsevier, vol. 71(C), pages 62-69.
    4. Yi‐Ting Peng & Tsangyao Chang & Omid Ranjbar, 2022. "Analyzing the degree of persistence of economic policy uncertainty using linear and non‐linear fourier quantile unit root tests," Manchester School, University of Manchester, vol. 90(4), pages 453-471, July.
    5. Gaoke Liao & Zhenghui Li & Ziqing Du & Yue Liu, 2019. "The Heterogeneous Interconnections between Supply or Demand Side and Oil Risks," Energies, MDPI, vol. 12(11), pages 1-17, June.
    6. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
    7. Gong, Mengqi & You, Zhe & Wang, Longle & Ruan, Dapeng, 2024. "Research of the non-linear dynamic relationship between global economic policy uncertainty and crude oil prices," Journal of Asian Economics, Elsevier, vol. 90(C).
    8. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    9. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2020. "Risk appetite and oil prices," Energy Economics, Elsevier, vol. 85(C).
    10. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    11. Huabin Bian & Renhai Hua & Qingfu Liu & Ping Zhang, 2022. "Petroleum market volatility tracker in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2022-2040, November.
    12. Kang, Wensheng & de Gracia, Fernando Perez & Ratti, Ronald A., 2019. "The asymmetric response of gasoline prices to oil price shocks and policy uncertainty," Energy Economics, Elsevier, vol. 77(C), pages 66-79.
    13. Wang, Yuejing & Ye, Wuyi & Jiang, Ying & Liu, Xiaoquan, 2024. "Volatility prediction for the energy sector with economic determinants: Evidence from a hybrid model," International Review of Financial Analysis, Elsevier, vol. 92(C).
    14. Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    15. Drachal, Krzysztof, 2021. "Forecasting crude oil real prices with averaging time-varying VAR models," Resources Policy, Elsevier, vol. 74(C).
    16. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    17. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.
    18. Dutta, Anupam & Soytas, Ugur & Das, Debojyoti & Bhattacharyya, Asit, 2022. "In search of time-varying jumps during the turmoil periods: Evidence from crude oil futures markets," Energy Economics, Elsevier, vol. 114(C).
    19. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
    20. Chatziantoniou, Ioannis & Degiannakis, Stavros & Delis, Panagiotis & Filis, George, 2021. "Forecasting oil price volatility using spillover effects from uncertainty indices," Finance Research Letters, Elsevier, vol. 42(C).
    21. F. Dilvin Taşkin & Efe Çağlar Çağlı & Umut Halaç, 2016. "The impact of oil price shocks on the volatility of the Turkish stock market," International Journal of Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 1-23.
    22. Chatziantoniou, Ioannis & Degiannakis, Stavros & Delis, Panagiotis & Filis, George, 2019. "Can spillover effects provide forecasting gains? The case of oil price volatility," MPRA Paper 96266, University Library of Munich, Germany.
    23. Yang, Lu & Hamori, Shigeyuki, 2021. "Systemic risk and economic policy uncertainty: International evidence from the crude oil market," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 142-158.
    24. Hosseini, Seyed Hossein & Shakouri G., Hamed & Kazemi, Aliyeh, 2021. "Oil price future regarding unconventional oil production and its near-term deployment: A system dynamics approach," Energy, Elsevier, vol. 222(C).
    25. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    26. Gu, Xin & Zhu, Zixiang & Yu, Minli, 2021. "The macro effects of GPR and EPU indexes over the global oil market—Are the two types of uncertainty shock alike?," Energy Economics, Elsevier, vol. 100(C).
    27. Feng Ma & Xinjie Lu & Bo Zhu, 2025. "Uncertainty and fluctuation in crude oil price: evidence from machine learning models," Annals of Operations Research, Springer, vol. 345(2), pages 725-755, February.
    28. Das, Debojyoti & Kannadhasan, M., 2020. "The asymmetric oil price and policy uncertainty shock exposure of emerging market sectoral equity returns: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 563-581.
    29. Medel, Carlos A., 2015. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," MPRA Paper 65667, University Library of Munich, Germany.
    30. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    31. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.
    32. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    33. Ruixin Su & Jianguo Du & Fakhar Shahzad & Xingle Long, 2020. "Unveiling the Effect of Mean and Volatility Spillover between the United States Economic Policy Uncertainty and WTI Crude Oil Price," Sustainability, MDPI, vol. 12(16), pages 1-12, August.
    34. Mohsen Bahmani-Oskooee & Hanafiah Harvey & Farhang Niroomand, 2018. "On the Impact of Policy Uncertainty on Oil Prices: An Asymmetry Analysis," IJFS, MDPI, vol. 6(1), pages 1-11, January.
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    36. Alola, Andrew A. & Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Outlook of oil prices and volatility from 1970 to 2040 through global energy mix-security from production to reserves: A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 79(C).
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    95. Gambarelli, Luca & Marchi, Gianluca & Muzzioli, Silvia, 2023. "Hedging effectiveness of cryptocurrencies in the European stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    96. I-Chun Tsai, 2024. "Features of different asset types and extreme risk transmission during the COVID-19 crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-42, December.
    97. Mokni, Khaled & Youssef, Manel & Ajmi, Ahdi Noomen, 2022. "COVID-19 pandemic and economic policy uncertainty: The first test on the hedging and safe haven properties of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 60(C).
    98. Al-Nassar, Nassar S. & Boubaker, Sabri & Chaibi, Anis & Makram, Beljid, 2023. "In search of hedges and safe havens during the COVID─19 pandemic: Gold versus Bitcoin, oil, and oil uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 318-332.
    99. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Rashid, Md. Mamunur & Alhenawi, Yasser, 2021. "Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic?," Global Finance Journal, Elsevier, vol. 50(C).
    100. 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).
    101. Seok-Jun Yun & Sun-Yong Choi & Young Sung Kim, 2023. "Examining the hedge performance of US dollar, VIX, and gold during the coronavirus pandemic: Is US dollar a better hedge asset?," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-19, October.
    102. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    103. Kaiyuan Yang & Xiaoyan Huo & Zhaoyu Sun & Peigong Li & Stavros Sindakis & Saloome Showkat, 2024. "Investigating The Role of Accounting Information Comparability in Mitigating Stock Price Crash Risk: Evidence from China’s Knowledge-Based Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 10022-10056, September.
    104. Syed Jawad Hussain Shahzad & Elie Bouri & Mobeen Ur Rehman & David Roubaud, 2022. "The hedge asset for BRICS stock markets: Bitcoin, gold or VIX," The World Economy, Wiley Blackwell, vol. 45(1), pages 292-316, January.
    105. Hoque, Mohammad Enamul & Billah, Mabruk & Alam, Md Rafayet & Tiwari, Aviral Kumar, 2024. "Gold-backed cryptocurrencies: A hedging tool against categorical and regional financial stress," Global Finance Journal, Elsevier, vol. 60(C).
    106. Robiyanto Robiyanto & Budi Frensidy & Ignatius Roni Setyawan & Andrian Dolfriandra Huruta, 2021. "A Different View on ASEAN Capital Market Integration," Economies, MDPI, vol. 9(4), pages 1-9, October.
    107. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Karim, Zulkefly Abdul & Rashid, Md. Mamunur, 2022. "Exploring the hedge and safe haven properties of cryptocurrency in policy uncertainty," Finance Research Letters, Elsevier, vol. 46(PA).
    108. Wen, Fenghua & Tong, Xi & Ren, Xiaohang, 2022. "Gold or Bitcoin, which is the safe haven during the COVID-19 pandemic?," International Review of Financial Analysis, Elsevier, vol. 81(C).

  24. Stelios Bekiros, 2014. "Detecting nonlinear dependencies in foreign exchange markets: A multistep filtering approach," Working Papers 2014-182, Department of Research, Ipag Business School.

    Cited by:

  25. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 2014-426, Department of Research, Ipag Business School.

    Cited by:

    1. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    2. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    3. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
    4. César Castro & Rebeca Jiménez-Rodríguez & Pilar Poncela & Eva Senra, 2017. "A new look at oil price pass-through into inflation: evidence from disaggregated European data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(1), pages 55-82, April.
    5. Lai, Hung-Cheng & Wang, Kuan-Min, 2014. "Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns," Economic Modelling, Elsevier, vol. 41(C), pages 156-165.

  26. Stelios Bekiros & Duc Khuong Nguyen & Gazi Salah Uddin & Bo Sjö, 2014. "Business Cycle (De)Synchronization in the Aftermath of the Global Financial Crisis: Implications for the Euro Area," Working Papers 2014-437, Department of Research, Ipag Business School.

    Cited by:

    1. Mariarosaria Comunale, 2017. "Synchronicity of real and financial cycles and structural characteristics in EU countries," Bank of Lithuania Occasional Paper Series 15, Bank of Lithuania.
    2. Merih Uctum & Remzi Uctum & Chu-Ping C Vijverberg, 2021. "The European growth synchronization through crises and structural changes," Post-Print hal-03319011, HAL.
    3. Afonso, António & Morão, Hugo, 2024. "Commonalities and heterogeneity in the Iberian business cycle," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    4. André Cartapanis & Marie-Hélène Gagnon & Céline Gimet, 2023. "Financially sustainable optimal currency areas," Post-Print hal-04165420, HAL.
    5. Belke, Ansgar & Domnick, Clemens & Gros, Daniel, 2017. "Business Cycle Synchronization in the EMU: Core vs. Periphery," GLO Discussion Paper Series 38, Global Labor Organization (GLO).
    6. Gazi Salah Uddin & Ahmed Taneem Muzaffar & Mohamed Arouri & Bo Sjö, 2017. "Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh," Post-Print hal-01653256, HAL.
    7. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.
    8. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    9. Krzysztof Beck, 2022. "Macroeconomic policy coordination and the European business cycle: Accounting for model uncertainty and reverse causality," Bulletin of Economic Research, Wiley Blackwell, vol. 74(4), pages 1095-1114, October.
    10. Mensi, Walid & Hkiri, Besma & Al-Yahyaee, Khamis H. & Kang, Sang Hoon, 2018. "Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 74-102.
    11. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    12. Beck, Krzysztof, 2021. "Why business cycles diverge? Structural evidence from the European Union," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    13. Kurowski, Łukasz & Rogowicz, Karol, 2018. "Are business and credit cycles synchronised internally or externally?," Economic Modelling, Elsevier, vol. 74(C), pages 124-141.
    14. 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.
    15. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
    16. Uddin, Gazi Salah & Shahzad, Syed Jawad Hussain & Boako, Gideon & Hernandez, Jose Areola & Lucey, Brian M., 2019. "Heterogeneous interconnections between precious metals: Evidence from asymmetric and frequency-domain spillover analysis," Resources Policy, Elsevier, vol. 64(C).
    17. Luboš Hanus & Lukáš Vácha, 2020. "Growth cycle synchronization of the Visegrad Four and the European Union," Empirical Economics, Springer, vol. 58(4), pages 1779-1795, April.
    18. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    19. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    20. Mariarosaria Comunale, 2020. "New synchronicity indices between real and financial cycles: Is there any link to structural characteristics and recessions in European Union countries?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 617-641, October.
    21. Ngozi E. Egbuna & Maimuna John-Sowe & Santigie M. Kargbo (PhD) & Sani Bawa (PhD) & Ibrahima Diallo & Isatou Mendy, 2020. "Business Cycle Synchronisation In The Ecowas Region," Working Papers 18, West African Monetary Institute.
    22. Lindman, Sebastian & Tuvhag, Tom & Jayasekera, Ranadeva & Uddin, Gazi Salah & Troster, Victor, 2020. "Market Impact on financial market integration: Cross-quantilogram analysis of the global impact of the euro," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 42-73.

  27. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.

    Cited by:

    1. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    2. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
    3. Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    4. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.

  28. Stelios Bekiros & Alessia Paccagnini, 2014. "Forecasting the US Economy with a Factor-Augmented Vector Autoregressive DSGE model," Working Papers 2014-183, Department of Research, Ipag Business School.

    Cited by:

  29. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.

    Cited by:

    1. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    2. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2018. "Limited Asset Market Participation and the Euro Area Crisis. An Empirical DSGE Model," Working Papers 391, University of Milano-Bicocca, Department of Economics, revised Nov 2018.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    5. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    6. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2014. "Estimating a DSGE model with Limited Asset Market Participation for the Euro Area," Working Papers 286, University of Milano-Bicocca, Department of Economics, revised Nov 2014.
    7. Emmanuel C. Mamatzakis & Mike G. Tsionas, 2020. "Revealing forecaster's preferences: A Bayesian multivariate loss function approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 412-437, April.
    8. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    9. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.
    10. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    11. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    12. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    13. Marco Lorusso & Luca Pieroni, 2019. "Disentangling Civilian and Military Spending Shocks: A Bayesian DSGE Approach for the US Economy," JRFM, MDPI, vol. 12(3), pages 1-41, September.
    14. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    15. Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, vol. 7(3), pages 1-43, July.

  30. Stelios D. Bekiros, 2013. "Decoupling and the Spillover Effects of the US Financial Crisis: Evidence from the BRIC Markets," Working Paper series 21_13, Rimini Centre for Economic Analysis.

    Cited by:

    1. Ahdi Noomen Ajmi & Ghassen El-montasser & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Oil prices and MENA stock markets: new evidence from nonlinear and asymmetric causalities during and after the crisis period," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2167-2177, June.
    2. Cho, Sungjun & Hyde, Stuart & Nguyen, Ngoc, 2015. "Time-varying regional and global integration and contagion: Evidence from style portfolios," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 109-131.
    3. Monica Billio & Michael Donadelli & Antonio Paradiso & Max Riedel, 2015. "Measuring Financial Integration: Lessons from the Correlation," Working Papers 2015:23, Department of Economics, University of Venice "Ca' Foscari".
    4. Tsangyao Chang & Omid Ranjbar & Charl Jooste, 2017. "Stock Market Interactions between the BRICS and the United States: Evidence from Asymmetric Granger Causality Tests in the Frequency Domain," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(2), pages 297-320, Spring.
    5. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    6. Momin, Ebaad & Masih, Mansur, 2015. "Do US policy uncertainty, leveraging costs and global risk aversion impact emerging market equities? An application of bounds testing approach to the BRICS," MPRA Paper 65834, University Library of Munich, Germany.
    7. Isha Narula, 2016. "Dynamics of volatility behaviour and transmission: evidences from BRICS countries," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(1), pages 31-51, March.
    8. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    9. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    10. Gadhoum, Anouar & Masih, Mansur, 2018. "Emerging market equities and US policy uncertainty: evidence from Malaysia based on ARDL," MPRA Paper 105469, University Library of Munich, Germany.

  31. Stelios D. Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Open Access publications 10197/7326, School of Economics, University College Dublin.

    Cited by:

    1. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    2. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.
    3. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    4. Maddalena Cavicchioli, 2020. "Invertibility and VAR Representations of Time-Varying Dynamic Stochastic General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 61-86, January.
    5. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    6. Xiuying Ma & Yongjing Wang & Haiyan Song & Han Liu, 2020. "Time-varying mechanisms between foreign direct investment and tourism development under the new normal in China," Tourism Economics, , vol. 26(2), pages 324-343, March.
    7. Balcilar, Mehmet & Gupta, Rangan & Segnon, Mawuli, 2016. "The role of economic policy uncertainty in predicting U.S. recessions: A mixed-frequency Markov-switching vector autoregressive approach," Economics Discussion Papers 2016-14, Kiel Institute for the World Economy (IfW Kiel).
    8. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    9. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    10. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    11. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
    12. Stelios D. Bekiros & Alessia Paccagnini, 2015. "Macroprudential policy and forecasting using Hybrid DSGE models with financial frictions and State space Markov-Switching TVP-VARs," Open Access publications 10197/7333, School of Economics, University College Dublin.
    13. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    14. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    15. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.

  32. Theodore Tsekeris & Klimis Vogiatzoglou & Stelios Bekiros, 2011. "Multi-Regional Agent-Based Modeling of Household and Firm Location Choices with Endogenous Transport Costs," ERSA conference papers ersa10p479, European Regional Science Association.

    Cited by:

    1. Mahyar Amirgholy & Hojjat Rezaeestakhruie & Hossain Poorzahedy, 2015. "Multi-objective cordon price design to control long run adverse traffic effects in large urban areas," Netnomics, Springer, vol. 16(1), pages 1-52, August.
    2. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
    3. Andreas Deckert & Robert Klein, 2014. "Simulation-based optimization of an agent-based simulation," Netnomics, Springer, vol. 15(1), pages 33-56, July.
    4. Valery Leonidovich Makarov & Albert Raufovich Bakhtizin & Elena Davidovna Sushko, 0. "Agent-Based Models as a Means of Testing of Management Solutions," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 12.
    5. Victor Suslov & Tatyana Novikova & Alexander Tsyplakov, 2016. "Simulation of the Role of Government in Spatial Agent-Based Model," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 951-965.

  33. Stelios Bekiros, 2011. "Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics," Economics Working Papers ECO2011/21, European University Institute.

    Cited by:

    1. Kumari, Jyoti, 2019. "Investor sentiment and stock market liquidity: Evidence from an emerging economy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 166-180.
    2. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    3. I-Chun Tsai & Shu-Hen Chiang, 2018. "Risk Transfer among Housing Markets in Major Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    4. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    5. Alessandra Pasqualina Viola & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Wagner Piazza Gaglianone, 2017. "Predicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression," Working Papers Series 466, Central Bank of Brazil, Research Department.
    6. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
    7. Xianfang Su & Huiming Zhu & Xinxia Yang, 2019. "Heterogeneous Causal Relationships between Spot and Futures Oil Prices: Evidence from Quantile Causality Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    8. Chou, Yu-Hsi, 2018. "Understanding the sources of the exchange rate disconnect puzzle: A variance decomposition approach," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 267-287.
    9. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Trader differences in Shanghai’s A-share and B-share markets: Effects on interaction with the Shanghai housing market," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    10. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.
    11. Tsai, I-Chun, 2018. "Flash crash and policy uncertainty," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 248-260.
    12. Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020. "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers 2020-19, Department of Economics and Business Economics, Aarhus University.
    13. Piotr FISZEDER & Witold ORZESZKO, 2018. "Nonlinear Granger causality between grains and livestock," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(7), pages 328-336.
    14. Zhu, Huiming & Deng, Xi & Ren, Yinghua & Huang, Xi, 2024. "Time-frequency co-movement and cross-quantile connectedness of exchange rates: Evidence from ASEAN+3 Countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    15. Gong, Yuting & Ma, Chao & Chen, Qiang, 2022. "Exchange rate dependence and economic fundamentals: A Copula-MIDAS approach," Journal of International Money and Finance, Elsevier, vol. 123(C).
    16. Ebrahim Hadian; & Najmeh Sajedianfard, 2018. "Monetary Fundamental-Based Exchange Rate Model in Iran: Applying a MS-TVTP Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 557-578, Spring.
    17. Syed Hassan & Sarosh Shabi & Taufiq Choudhry, 2018. "US Economic Uncertainty, EU Business Cycles and the Global Financial Crisis," Working Papers 2018-05, Swansea University, School of Management.
    18. Chen, Shiu-Sheng & Chou, Yu-Hsi, 2015. "Revisiting the relationship between exchange rates and fundamentals," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 1-22.
    19. Mirzosaid Sultonov, 2019. "Remittances, bilateral trade and linkage between foreign exchange markets: Evidence from the Commonwealth of Independent States (CIS)," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 65-74, January.
    20. Xiang, Youtao & Borjigin, Sumuya, 2023. "Downside and upside risk spillovers between financial industry and real economy based on linear and nonlinear networks," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1337-1374.
    21. Xie, Zixiong & Chen, Shyh-Wei, 2019. "Exchange rates and fundamentals: A bootstrap panel data analysis," Economic Modelling, Elsevier, vol. 78(C), pages 209-224.
    22. Habimana, Olivier, 2017. "The multiscale relationship between exchange rates and fundamentals differentials: Empirical evidence from Scandinavia," MPRA Paper 75956, University Library of Munich, Germany.

  34. Stelios Bekiros, 2011. "Nonlinear causality testing with stepwise multivariate filtering," Economics Working Papers ECO2011/22, European University Institute.

    Cited by:

    1. Sebastian Nick, 2013. "Price Formation and Intertemporal Arbitrage within a Low-Liquidity Framework: Empirical Evidence from European Natural Gas Markets," EWI Working Papers 2013-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Sebastian Nick, 2016. "The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

  35. Stelios Bekiros & Massimiliano Marcellino, 2011. "The Multiscale Causal Dynamics of Foreign Exchange Markets," Economics Working Papers ECO2011/23, European University Institute.

    Cited by:

    1. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    2. Kitamura, Yoshihiro, 2017. "Simple measures of market efficiency: A study in foreign exchange markets," Japan and the World Economy, Elsevier, vol. 41(C), pages 1-16.
    3. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
    4. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    5. Gazi Salah Uddin & Muhammad Yahya & Ali Ahmed & Donghyun Park & Shu Tian, 2024. "In search of light in the darkness: What can we learn from ethical, sustainable and green investments?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1451-1495, April.
    6. Faria, Gonçalo & Verona, Fabio, 2020. "Frequency-domain information for active portfolio management," Bank of Finland Research Discussion Papers 2/2020, Bank of Finland.
    7. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.
    8. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2014. "Structural breaks and long memory in modeling and forecasting volatility of foreign exchange markets of oil exporters: The importance of scheduled and unscheduled news announcements," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 101-119.
    9. Caraiani, Petre & Haven, Emmanuel, 2015. "Evidence of multifractality from CEE exchange rates against Euro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 395-407.
    10. Syed Jawad Hussain Shahzad & Jose Arreola‐Hernandez & Md Lutfur Rahman & Gazi Salah Uddin & Muhammad Yahya, 2021. "Asymmetric interdependence between currency markets' volatilities across frequencies and time scales," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2436-2457, April.
    11. Aloui, Chaker & Hkiri, Besma & Lau, Marco Chi Keung & Yarovaya, Larisa, 2018. "Information transmission across stock indices and stock index futures: International evidence using wavelet framework," Research in International Business and Finance, Elsevier, vol. 44(C), pages 411-421.
    12. Gazi Salah Uddin & Ahmed Taneem Muzaffar & Mohamed Arouri & Bo Sjö, 2017. "Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh," Post-Print hal-01653256, HAL.
    13. Mehmet Balcilar & Rangan Gupta & Duc Khuong Nguyen & Mark E. Wohar, 2018. "Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach," Applied Economics, Taylor & Francis Journals, vol. 50(53), pages 5712-5727, November.
    14. Vogl, Markus, 2022. "Controversy in financial chaos research and nonlinear dynamics: A short literature review," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    15. Tiwari, Aviral Kumar & Trabelsi, Nader & Abakah, Emmanuel Joel Aikins & Nasreen, Samia & Lee, Chien-Chiang, 2023. "An empirical analysis of the dynamic relationship between clean and dirty energy markets," Energy Economics, Elsevier, vol. 124(C).
    16. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    17. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    18. Nicoló Andrea Caserini & Paolo Pagnottoni, 2022. "Effective transfer entropy to measure information flows in credit markets," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 729-757, October.
    19. Peterson Owusu Junior & Anokye M. Adam & George Tweneboah, 2017. "Co-movement of real exchange rates in the West African Monetary Zone," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1351807-135, January.
    20. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    21. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    22. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Roubaud, David, 2018. "Comovements of gold futures markets and the spot market: A wavelet analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 19-24.
    23. Matthieu Garcin, 2019. "Hurst Exponents And Delampertized Fractional Brownian Motions," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-26, August.
    24. Gong, Yuting & Ma, Chao & Chen, Qiang, 2022. "Exchange rate dependence and economic fundamentals: A Copula-MIDAS approach," Journal of International Money and Finance, Elsevier, vol. 123(C).
    25. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    26. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
    27. Nikola Gradojevic, 2021. "Brexit and foreign exchange market expectations: Could it have been predicted?," Annals of Operations Research, Springer, vol. 297(1), pages 167-189, February.
    28. Rahman, Md Lutfur & Troster, Victor & Uddin, Gazi Salah & Yahya, Muhammad, 2022. "Systemic risk contribution of banks and non-bank financial institutions across frequencies: The Australian experience," International Review of Financial Analysis, Elsevier, vol. 79(C).
    29. Bilgili, Faik & Kocak, Emrah & Kuskaya, Sevda & Bulut, Umit, 2022. "Co-movements and causalities between ethanol production and corn prices in the USA: New evidence from wavelet transform analysis," Energy, Elsevier, vol. 259(C).
    30. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    31. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Post-Print hal-02956380, HAL.
    32. McNevin, Bruce D. & Nix, Joan, 2018. "The beta heuristic from a time/frequency perspective: A wavelet analysis of the market risk of sectors," Economic Modelling, Elsevier, vol. 68(C), pages 570-585.
    33. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    34. Liow, Kim Hiang & Huang, Yuting & Song, Jeonseop, 2019. "Relationship between the United States housing and stock markets: Some evidence from wavelet analysis," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    35. Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
    36. Matthieu Garcin, 2018. "Hurst exponents and delampertized fractional Brownian motions," Working Papers hal-01919754, HAL.
    37. Wu, Tao & Sun, Xiaotong & Xu, Xin & Jia, Nanfei & Xuan, Siyuan, 2024. "New evidence of interdependence in forex markets: A connection of connection analysis," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    38. Harshit Mishra & Parama Barai, 2024. "Entropy Augmented Asset Pricing Model: Study on Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 81-99, March.
    39. Sevda Kuşkaya & Nurhan Toğuç & Faik Bilgili, 2022. "Wavelet coherence analysis and exchange rate movements," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4675-4692, December.
    40. Al Rababa’a, Abdel Razzaq & Alomari, Mohammad & McMillan, David, 2021. "Multiscale stock-bond correlation: Implications for risk management," Research in International Business and Finance, Elsevier, vol. 58(C).
    41. Palazzi, Rafael Baptista & Júnior, Gerson de Souza Raimundo & Klotzle, Marcelo Cabus, 2021. "The dynamic relationship between bitcoin and the foreign exchange market: A nonlinear approach to test causality between bitcoin and currencies," Finance Research Letters, Elsevier, vol. 42(C).
    42. Habimana, Olivier, 2017. "The multiscale relationship between exchange rates and fundamentals differentials: Empirical evidence from Scandinavia," MPRA Paper 75956, University Library of Munich, Germany.

  36. Bekiros, S. & Diks, C.G.H., 2007. "The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality," CeNDEF Working Papers 07-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Ying Kou & Liming Liu & Meifeng Luo, 2014. "Lead-lag relationship between new-building and second-hand ship prices," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(4), pages 303-327, July.
    2. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    3. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    4. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.
    5. Jorge Antunes & Luis Alberiko Gil-Alana & Rossana Riccardi & Yong Tan & Peter Wanke, 2022. "Unveiling endogeneity and temporal dependence in energy prices and demand in Iberian countries: a stochastic hidden Markov model approach," Annals of Operations Research, Springer, vol. 313(1), pages 191-229, June.
    6. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Maria Pempetzoglou, 2014. "Electricity Consumption and Economic Growth: A Linear and Nonlinear Causality Investigation for Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 263-273.
    8. Tokic, Damir, 2011. "Rational destabilizing speculation, positive feedback trading, and the oil bubble of 2008," Energy Policy, Elsevier, vol. 39(4), pages 2051-2061, April.
    9. Xu, Xiaojie, 2014. "Price Discovery in U.S. Corn Cash and Futures Markets: The Role of Cash Market Selection," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169809, Agricultural and Applied Economics Association.
    10. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    11. Balcilar, Mehmet & Gungor, Hasan & Hammoudeh, Shawkat, 2015. "The time-varying causality between spot and futures crude oil prices: A regime switching approach," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 51-71.
    12. Silvério, Renan & Szklo, Alexandre, 2012. "The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market," Energy Economics, Elsevier, vol. 34(6), pages 1799-1808.
    13. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    14. Wang, Yudong & Wu, Chongfeng, 2012. "Energy prices and exchange rates of the U.S. dollar: Further evidence from linear and nonlinear causality analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2289-2297.
    15. Keshab Shrestha & Sheena Philip & Yessy Peranginangin, 2020. "Contributions of Crude Oil Exchange Traded Funds in Price Discovery Process," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 393-407.
    16. Imtiaz Mohammad Sifat & Azhar Mohamad & Kevin Reinaldo Amin, 2021. "Intertemporal price discovery between stock index futures and spot markets: New evidence from high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 898-913, January.
    17. Carlotta Penone & Elisa Giampietri & Samuele Trestini, 2022. "Futures–spot price transmission in EU corn markets," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 679-709, July.
    18. Derick D. Quintino & Sergio A. David & Carlos E. de F. Vian, 2017. "Analysis of the Relationship between Ethanol Spot and Futures Prices in Brazil," IJFS, MDPI, vol. 5(2), pages 1-10, April.
    19. Shao, Mingao & Hua, Yongjun, 2022. "Price discovery efficiency of China's crude oil futures: Evidence from the Shanghai crude oil futures market," Energy Economics, Elsevier, vol. 112(C).
    20. Lu, Feng-bin & Hong, Yong-miao & Wang, Shou-yang & Lai, Kin-keung & Liu, John, 2014. "Time-varying Granger causality tests for applications in global crude oil markets," Energy Economics, Elsevier, vol. 42(C), pages 289-298.
    21. Prabhat Mittal, 2024. "Forecasting of Crude Oil Prices Using Wavelet Decomposition Based Denoising with ARMA Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(2), pages 355-365, June.
    22. Shrestha, Keshab, 2014. "Price discovery in energy markets," Energy Economics, Elsevier, vol. 45(C), pages 229-233.
    23. Mensi, Walid & Brahim, Mariem & Hammoudeh, Shawkat & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2024. "Time-varying causality and correlations between spot and futures prices of natural gas, crude oil, heating oil, and gasoline," Resources Policy, Elsevier, vol. 93(C).
    24. Junior, Peterson Owusu & Tiwari, Aviral Kumar & Padhan, Hemachandra & Alagidede, Imhotep, 2020. "Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India," Resources Policy, Elsevier, vol. 68(C).
    25. Emil Andersson & Mahim Hoque & Md Lutfur Rahman & Gazi Salah Uddin & Ranadeva Jayasekera, 2022. "ESG investment: What do we learn from its interaction with stock, currency and commodity markets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3623-3639, July.
    26. Ming-Tao Chou & Cherie Lu, 2016. "Correlations and Volatility Spillovers between the Carbon Trading Price and Bunker Index for the Maritime Industry," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 93-101, November.
    27. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    28. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    29. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
    30. Jaehyung An & Alexey Mikhaylov & Sang-Uk Jung, 2020. "The Strategy of South Korea in the Global Oil Market," Energies, MDPI, vol. 13(10), pages 1-8, May.
    31. Kyrtsou, Catherine & Mikropoulou, Christina & Papana, Angeliki, 2016. "Does the S&P500 index lead the crude oil dynamics? A complexity-based approach," Energy Economics, Elsevier, vol. 56(C), pages 239-246.
    32. Liu, Wei-han, 2016. "A re-examination of maturity effect of energy futures price from the perspective of stochastic volatility," Energy Economics, Elsevier, vol. 56(C), pages 351-362.
    33. Liu, Li & Wang, Yudong, 2014. "Cross-correlations between spot and futures markets of nonferrous metals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 20-30.
    34. Liu, Li & Wan, Jieqiu, 2011. "A study of correlations between crude oil spot and futures markets: A rolling sample test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3754-3766.
    35. Krzysztof Osiewalski & Jacek Osiewalski, 2013. "A Long-Run Relationship between Daily Prices on Two Markets: The Bayesian VAR(2)–MSF-SBEKK Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 5(1), pages 65-83, March.
    36. Storhas, Dominik P. & De Mello, Lurion & Singh, Abhay Kumar, 2020. "Multiscale lead-lag relationships in oil and refined product return dynamics: A symbolic wavelet transfer entropy approach," Energy Economics, Elsevier, vol. 92(C).
    37. Francisco Ortiz Arango & Alma Nelly Montiel Guzmán, 2017. "Transmission of future prices of corn of the Chicago Board of Trade to the Mexican spot market," Contaduría y Administración, Accounting and Management, vol. 62(3), pages 941-957, Julio-Sep.
    38. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    39. Chevillon, Guillaume & Rifflart, Christine, 2007. "Physical Market Determinants of the Price of Crude Oil and the Market Premium," ESSEC Working Papers DR 07020, ESSEC Research Center, ESSEC Business School.
    40. Jia, Rui-Lin & Wang, Dong-Hua & Tu, Jing-Qing & Li, Sai-Ping, 2016. "Correlation between agricultural markets in dynamic perspective—Evidence from China and the US futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 464(C), pages 83-92.
    41. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance," CARF F-Series CARF-F-220, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    42. Ruwei Zhao & Xiong Xiong & Junjun Ma & Yuzhao Zhang & Yongjie Zhang, 2025. "Baidu News and the return volatility of Chinese commodity futures: evidence for the sequential information arrival hypothesis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
    43. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2014. "Time-Varying Spot and Futures Oil Price Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 78-97, February.
    44. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    45. Chang, Kuang-Liang & Lee, Chingnun, 2020. "The asymmetric spillover effect of the Markov switching mechanism from the futures market to the spot market," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 374-388.
    46. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    47. Kisswani, Khalid M. & Nusair, Salah A., 2013. "Non-linearities in the dynamics of oil prices," Energy Economics, Elsevier, vol. 36(C), pages 341-353.
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    49. Zheng Shi & Dongmin Kong, 2021. "Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(4), pages 1-4.
    50. He, Yongda & Lin, Boqiang, 2019. "Regime differences and industry heterogeneity of the volatility transmission from the energy price to the PPI," Energy, Elsevier, vol. 176(C), pages 900-916.
    51. Theologos Dergiades & Reinhard Madlener & Georgia Christofidou, 2012. "The Nexus between Natural Gas Spot and Futures Prices at NYMEX: Do Weather Shocks and Non-Linear Causality in Low Frequencies Matter?," FCN Working Papers 17/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    52. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Mean-Variance and Stochastic Dominance Approach," Working Papers in Economics 10/18, University of Canterbury, Department of Economics and Finance.
    53. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2024. "Volatility spillovers across the spot and futures oil markets after news announcements," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    54. Krzysztof Drachal, 2018. "Exchange Rate and Oil Price Interactions in Selected CEE Countries," Economies, MDPI, vol. 6(2), pages 1-21, May.
    55. Semei Coronado & Rebeca Jim'enez-Rodr'iguez & Omar Rojas, 2015. "An empirical analysis of the relationships between crude oil, gold and stock markets," Papers 1510.07599, arXiv.org, revised May 2016.
    56. Li, Yang & Du, Qingfeng, 2024. "Oil price volatility and gold prices volatility asymmetric links with natural resources via financial market fluctuations: Implications for green recovery," Resources Policy, Elsevier, vol. 88(C).
    57. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    58. P. Sakthivel & Krishna Reddy Chittedi & Daniel Sakyi, 2017. "Price Discovery and Volatility Transmission in Currency Spot and Futures Markets in India: An Empirical Analysis," Global Business Review, International Management Institute, vol. 20(4), pages 931-945, August.
    59. Sebastian Nick, 2013. "Price Formation and Intertemporal Arbitrage within a Low-Liquidity Framework: Empirical Evidence from European Natural Gas Markets," EWI Working Papers 2013-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    60. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    61. Zheng Fang & Marcin Wolski, 2021. "Human capital, energy and economic growth in China: evidence from multivariate nonlinear Granger causality tests," Empirical Economics, Springer, vol. 60(2), pages 607-632, February.
    62. Xianfang Su & Huiming Zhu & Xinxia Yang, 2019. "Heterogeneous Causal Relationships between Spot and Futures Oil Prices: Evidence from Quantile Causality Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    63. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
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    65. D. Zhang & M. Zhao & Y. Wang & S. Vigne & R. Benkraiem, 2024. "Technological innovation and its influence on energy risk management: Unpacking China’s energy consumption structure optimisation amidst climate change," Post-Print hal-04864387, HAL.
    66. Vatsa, Puneet & Miljkovic, Tatjana & Miljkovic, Dragan, 2024. "Price discovery redux—Analyzing energy spot and futures prices using a dynamic programming approach," Energy Economics, Elsevier, vol. 140(C).
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    70. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
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    5. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
    6. Walid Mensi & Mobeen Ur Rehman & Muhammad Shafiullah & Khamis Hamed Al-Yahyaee & Ahmet Sensoy, 2021. "High frequency multiscale relationships among major cryptocurrencies: portfolio management implications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    7. Chuliá, Helena & Fernández, Julián & Uribe, Jorge M., 2018. "Currency downside risk, liquidity, and financial stability," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 83-102.
    8. Jan G. De Gooijer & Cees G. H. Diks & Łukasz T. Gątarek, 2012. "Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(1), pages 23-44, March.
    9. Gideon Minua Kwaku Ampofo & Prosper Basommi Laari & Emmanuel Opoku Ware & Williams Shaw, 2023. "Further investigation of the total natural resource rents and economic growth nexus in resource-abundant sub-Saharan African countries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 97-121, January.
    10. Maghyereh, Aktham & Abdoh, Hussein, 2021. "Time–frequency quantile dependence between Bitcoin and global equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    11. Bampinas Georgios & Panagiotidis Theodore, 2015. "On the relationship between oil and gold before and after financial crisis: linear, nonlinear and time-varying causality testing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 657-668, December.
    12. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
    13. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.
    14. De Vita, Glauco & Trachanas, Emmanouil, 2016. "‘Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’ — A failed replication (negative Type 1 and Type 2)," Energy Economics, Elsevier, vol. 56(C), pages 150-160.
    15. Rehman, Mobeen Ur & Nautiyal, Neeraj & Zeitun, Rami & Vo, Xuan Vinh, 2025. "The temporal variability in the returns of socially responsible funds to structural oil shocks," The North American Journal of Economics and Finance, Elsevier, vol. 77(C).
    16. Dicle Ozdemir, 2017. "Causal Relationship between Agricultural Exports and Exchange Rate: Evidence for India," Applied Economics and Finance, Redfame publishing, vol. 4(6), pages 36-41, November.
    17. Said Zamin Shah & Ahmad Zubaidi Baharumshah & Muzafar Shah Habibullah, 2019. "Dynamic Linkages and Volatility Transmissions between Macroeconomic Uncertainty and Performance: Evidence from South Asian Countries," Journal of South Asian Development, , vol. 14(3), pages 281-313, December.
    18. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306, Decembrie.
    19. Leonel Muinelo-Gallo & Ronald Miranda, 2020. "The Behaviour of Social Transfers over the Business Cycle: Empirical Evidence of Uruguay," Hacienda Pública Española / Review of Public Economics, IEF, vol. 233(2), pages 25-54, June.
    20. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2020. "The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis," International Economics, Elsevier, vol. 162(C), pages 110-124.
    21. Douglas de Medeiros Franco, 2022. "Expectations, Economic Uncertainty, and Sentiment," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(5), pages 210029-2100.
    22. Syed Hassan & Sarosh Shabi & Taufiq Choudhry, 2018. "US Economic Uncertainty, EU Business Cycles and the Global Financial Crisis," Working Papers 2018-05, Swansea University, School of Management.
    23. Lei Wang & Provash Kumer Sarker & Elie Bouri, 2023. "Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1305-1330, April.
    24. Palazzi, Rafael Baptista & Figueiredo Pinto, Antonio Carlos & Klotzle, Marcelo Cabus & De Oliveira, Erick Meira, 2020. "Can we still blame index funds for the price movements in the agricultural commodities market?," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 84-93.
    25. Christos Kollias & Suzanna-Maria Paleologou & Panayiotis Tzeremes & Nickolaos Tzeremes, 2017. "Defence expenditure and economic growth in Latin American countries: evidence from linear and nonlinear causality tests," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-25, December.
    26. Taamouti Abderrahim, 2015. "Stock market’s reaction to money supply: a nonparametric analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 669-689, December.
    27. Mitica Pepi, 2022. "The Interdependence of the Stock Markets Developed in Central and Eastern- European Stock Markets - Represented by the Stock Indices," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 995-1000, Decembrie.
    28. Mirzosaid Sultonov, 2019. "Remittances, bilateral trade and linkage between foreign exchange markets: Evidence from the Commonwealth of Independent States (CIS)," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 65-74, January.
    29. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    30. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
    31. Muhsin KAR & Saban NAZLIOGLU & Huseyin AGIR, 2014. "Trade Openness, Financial Development, and Economic Growth in Turkey: Linear and Nonlinear Causality Analysis," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 8(1), pages 63-86.
    32. Xiang, Youtao & Borjigin, Sumuya, 2023. "Downside and upside risk spillovers between financial industry and real economy based on linear and nonlinear networks," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1337-1374.
    33. Xu Xiaojie, 2018. "Linear and Nonlinear Causality between Corn Cash and Futures Prices," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(2), pages 1-16, November.
    34. Pami Dua & Ritu Suri, 2019. "Interlinkages Between USD–INR, EUR–INR, GBP–INR and JPY–INR Exchange Rate Markets and the Impact of RBI Intervention," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 102-136, April.
    35. Ruslan Grigoryev & Shabbar Jaffry & German Marchenko, 2012. "Investigation of the consequences of ignoring daily data non-synchronism in cross-market linkages: BRIC and developed countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 26(2), pages 92-112.
    36. Palazzi, Rafael Baptista & Schich, Sebastian & de Genaro, Alan, 2025. "Stablecoins as anchors? Unraveling information flow dynamics between pegged and unpegged crypto-assets and fiat currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    37. Azizi, Firouzeh & Moradi, Fahimeh, . "Linear and Nonlinear Causality between Stock Market Volatility and the Business Cycle in Iran," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(01).
    38. Palazzi, Rafael Baptista & Júnior, Gerson de Souza Raimundo & Klotzle, Marcelo Cabus, 2021. "The dynamic relationship between bitcoin and the foreign exchange market: A nonlinear approach to test causality between bitcoin and currencies," Finance Research Letters, Elsevier, vol. 42(C).

  38. Bekiros, S. & Georgoutsos, D., 2006. "Direction-of-Change Forecasting using a Volatility- Based Recurrent Neural Network," CeNDEF Working Papers 06-16, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Anatolyev Stanislav, 2009. "Multi-Market Direction-of-Change Modeling Using Dependence Ratios," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.
    2. Roch, Oriol, 2013. "Histogram-based prediction of directional price relatives," Finance Research Letters, Elsevier, vol. 10(3), pages 110-115.
    3. Maya Malinda & Jo-Hui Chen, 2022. "The forecasting of consumer exchange-traded funds (ETFs) via grey relational analysis (GRA) and artificial neural network (ANN)," Empirical Economics, Springer, vol. 62(2), pages 779-823, February.
    4. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
    5. Stanislav Anatolyev & Natalia Kryzhanovskaya, 2009. "Directional Prediction of Returns under Asymmetric Loss: Direct and Indirect Approaches," Working Papers w0136, Center for Economic and Financial Research (CEFIR).
    6. 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.
    7. Luis H. R. Alvarez E. & Paavo Salminen, 2016. "Timing in the Presence of Directional Predictability: Optimal Stopping of Skew Brownian Motion," Papers 1608.04537, arXiv.org.
    8. Sermpinis, Georgios & Theofilatos, Konstantinos & Karathanasopoulos, Andreas & Georgopoulos, Efstratios F. & Dunis, Christian, 2013. "Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization," European Journal of Operational Research, Elsevier, vol. 225(3), pages 528-540.
    9. Thierry Warin & Aleksandar Stojkov, 2021. "Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature," JRFM, MDPI, vol. 14(7), pages 1-31, July.
    10. Georgios Sermpinis & Andreas Karathanasopoulos & Rafael Rosillo & David Fuente, 2021. "Neural networks in financial trading," Annals of Operations Research, Springer, vol. 297(1), pages 293-308, February.
    11. Werner Kristjanpoller, 2024. "A hybrid econometrics and machine learning based modeling of realized volatility of natural gas," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.

  39. Bekiros, S. & Georgoutsos, D., 2006. "Estimating the Correlation of International Equity Markets with Multivariate Extreme and Garch models," CeNDEF Working Papers 06-17, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.

Articles

  1. Giakoumelou, Anastasia & Salvi, Antonio & Bekiros, Stelios & Onorato, Grazia, 2024. "ESG and FinTech funding in the EU," Research in International Business and Finance, Elsevier, vol. 69(C).

    Cited by:

    1. Shah, Waheed Ullah & Younis, Ijaz & Missaoui, Ibtissem & Liu, Xiyu, 2025. "Environmental transitions effect of renewable energy and fintech markets on Europe's real estate stock market," Renewable Energy, Elsevier, vol. 243(C).
    2. Secinaro, Silvana & Lanzalonga, Federico & Oppioli, Michele & de Nuccio, Elbano, 2025. "The effects of disruptive technologies on accountability in fintech industry: Using bibliometric analysis to develop a research agenda," Research in International Business and Finance, Elsevier, vol. 76(C).
    3. Arnone, Massimo & Leogrande, Angelo, 2024. "The Sustainability Of The Factoring Chain In Europe In The Light Of The Integration Of Esg Factors," OSF Preprints 753gf, Center for Open Science.
    4. Quintiliani, Andrea, 2025. "Small and medium-sized enterprises and sustainable transition: Role of FinTech in a country's banking ecosystem," Research in International Business and Finance, Elsevier, vol. 73(PA).

  2. Alharbi, Njud S. & Bekiros, Stelios & Jahanshahi, Hadi & Mou, Jun & Yao, Qijia, 2024. "Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

    Cited by:

    1. Khan, Taimoor Ali & Chaudhary, Naveed Ishtiaq & Hsu, Chung-Chian & Mehmood, Khizer & Khan, Zeshan Aslam & Raja, Muhammad Asif Zahoor & Shu, Chi-Min, 2024. "A gazelle optimization expedition for key term separated fractional nonlinear systems with application to electrically stimulated muscle modeling," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    2. Ze Yang & Shihao Li, 2024. "A new fuzzy-based ensemble framework based on attention-based deep learning architectures for automated detection of abnormal EEG," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(12), pages 5713-5725, December.
    3. Shi, Wei & Min, Fuhong & Yang, Songtao, 2024. "Bifurcation dynamics and FPGA implementation of coupled Fitzhugh-Nagumo neuronal system," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).

  3. Marta Vidal & Javier Vidal-García & Sabri Boubaker & Stelios Bekiros, 2024. "Short-term volatility timing: a cross-country study," Annals of Operations Research, Springer, vol. 336(3), pages 1681-1706, May.
    See citations under working paper version above.
  4. Waris Ali & Stelios Bekiros & Nazim Hussain & Sana Akbar Khan & Duc Khuong Nguyen, 2024. "Determinants and consequences of corporate social responsibility disclosure: A survey of extant literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 793-822, July.
    See citations under working paper version above.
  5. Naif D. Alotaibi & Hadi Jahanshahi & Qijia Yao & Jun Mou & Stelios Bekiros, 2023. "Identification and Control of Rehabilitation Robots with Unknown Dynamics: A New Probabilistic Algorithm Based on a Finite-Time Estimator," Mathematics, MDPI, vol. 11(17), pages 1-17, August.

    Cited by:

    1. Alsaadi, Fawaz E. & Bekiros, Stelios, 2025. "Robust PID sliding-surface control for nonholonomic pendulum-driven spherical robots in the presence of nonlinear perturbations and uncertainty shocks," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).

  6. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

    Cited by:

    1. Tiwari, Ankit & Singh, Piyush Pratap & Roy, Binoy Krishna, 2024. "A realizable chaotic system with interesting sets of equilibria, characteristics, and its underactuated predefined-time sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    2. Wu, Yong & Ding, Qianming & Huang, Weifang & Hu, Xueyan & Ye, Zhiqiu & Jia, Ya, 2024. "Dynamic modulation of external excitation enhance synchronization in complex neuronal network," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).

  7. Naif D. Alotaibi & Hadi Jahanshahi & Qijia Yao & Jun Mou & Stelios Bekiros, 2023. "An Ensemble of Long Short-Term Memory Networks with an Attention Mechanism for Upper Limb Electromyography Signal Classification," Mathematics, MDPI, vol. 11(18), pages 1-21, September.

    Cited by:

    1. Alharbi, Njud S. & Bekiros, Stelios & Jahanshahi, Hadi & Mou, Jun & Yao, Qijia, 2024. "Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

  8. Alsaadi, Fawaz E. & Bekiros, Stelios & Yao, Qijia & Liu, Jinping & Jahanshahi, Hadi, 2023. "Achieving resilient chaos suppression and synchronization of fractional-order supply chains with fault-tolerant control," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).

    Cited by:

    1. Zhang, Yuanyuan & Fu, Shaochuan & Fan, Shucheng & Ma, Fangfang, 2025. "Game strategy analysis on E-commerce platform supply chain with shared logistics service: A chaos perspective," Applied Mathematics and Computation, Elsevier, vol. 499(C).

  9. Sinha, Avik & Bekiros, Stelios & Hussain, Nazim & Nguyen, Duc Khuong & Khan, Sana Akbar, 2023. "How social imbalance and governance quality shape policy directives for energy transition in the OECD countries?," Energy Economics, Elsevier, vol. 120(C).

    Cited by:

    1. Yuyang, Liu, 2024. "Natural resource efficiency and the road to a green economy: From scarcity to availability," Resources Policy, Elsevier, vol. 89(C).
    2. Zhilun Jiao & Chenrui Zhang & Wenwen Li, 2025. "Artificial Intelligence in Energy Economics Research: A Bibliometric Review," Energies, MDPI, vol. 18(2), pages 1-30, January.
    3. Zhang, Long & Padhan, Hemachandra & Singh, Sanjay Kumar & Gupta, Monika, 2024. "The impact of renewable energy on inflation in G7 economies: Evidence from artificial neural networks and machine learning methods," Energy Economics, Elsevier, vol. 136(C).
    4. Balsalobre-Lorente, Daniel & Sinha, Avik & Murshed, Muntasir, 2023. "Russia-Ukraine conflict sentiments and energy market returns in G7 countries: Discovering the unexplored dynamics," Energy Economics, Elsevier, vol. 125(C).
    5. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
    6. Sohag, Kazi & Islam, Md. Monirul & Hammoudeh, Shawkat, 2024. "From policy stringency to environmental resilience: Unraveling the dose-response dynamics of environmental parameters in OECD countries," Energy Economics, Elsevier, vol. 134(C).
    7. Wang, Shanyong & Wang, Jing & Wang, Wenfu, 2023. "Do geopolitical risks facilitate the global energy transition? Evidence from 39 countries in the world," Resources Policy, Elsevier, vol. 85(PB).
    8. Tian, Lihui & Li, Xin & Lee, Cheng-Wen & Spulbăr, Cristi, 2024. "Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty," Energy Economics, Elsevier, vol. 137(C).
    9. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
    10. Chishti, Muhammad Zubair & Xia, Xiqiang & Dogan, Eyup, 2024. "Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement," Energy Economics, Elsevier, vol. 131(C).
    11. Shen, Lihua & Zhou, Jianan, 2024. "The role of biodiversity and energy transition in shaping the next techno-economic era," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    12. Abbas, Shujaat & Sinha, Avik & Saha, Tanaya & Shah, Muhammad Ibrahim, 2023. "Response of mineral market to renewable energy production in the USA: Where lies the sustainable energy future," Energy Policy, Elsevier, vol. 182(C).
    13. Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
    14. Sheraz, Muhammad & Sinha, Avik & Qin, Quande & Mumtaz, Muhammad Zubair, 2024. "The asymmetric nexus between energy transition and its drivers: New evidence from China," Energy, Elsevier, vol. 310(C).
    15. Wei, Xun & Pal, Shreya & Mahalik, Mantu Kumar & Liu, Weibai, 2024. "The role of energy efficiency in income inequality dynamics in developing Asia: Evidence from artificial neural networks," Energy Economics, Elsevier, vol. 136(C).
    16. Sheraz, Muhammad & Qin, Quande & Mumtaz, Muhammad Zubair, 2024. "Energy transition in OECD countries: Catalyzing governance quality for SDG 7 attainment," Energy Policy, Elsevier, vol. 194(C).
    17. Li, Lanbing & Zhao, Jiawei & Yang, Yuhan & Ma, Dan, 2025. "Artificial intelligence and green development well-being: Effects and mechanisms in China," Energy Economics, Elsevier, vol. 141(C).
    18. Wang, Yuelin & Xu, Bin, 2025. "Assessing the effective drivers of energy poverty reduction in China: A spatial perspective," Energy, Elsevier, vol. 320(C).
    19. Zhao, Qiuyun & Jiang, Mei & Zhao, Zuoxiang & Liu, Fan & Zhou, Li, 2024. "The impact of green innovation on carbon reduction efficiency in China: Evidence from machine learning validation," Energy Economics, Elsevier, vol. 133(C).
    20. Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
    21. Tie-zhi Li & Pan Du & Xin-ping Wang & Chang Su, 2024. "Rural energy transition in the context of rural revitalization and carbon neutrality: improved multi-criteria-based decision-making," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(5), pages 1-24, June.
    22. Kushawaha, Deepak & Jain, Manisha, 2024. "Debt as catalyst: Empowering renewable energy in developing countries," Energy Policy, Elsevier, vol. 194(C).
    23. Chu, Lan Khanh, 2024. "Towards achieving energy transition goal: How do green financial policy, environmental tax, economic complexity, and globalization matter?," Renewable Energy, Elsevier, vol. 222(C).
    24. Nepal, Rabindra & Zhao, Xiaomeng & Dong, Kangyin & Wang, Jianda & Sharif, Arshian, 2025. "Can artificial intelligence technology innovation boost energy resilience? The role of green finance," Energy Economics, Elsevier, vol. 142(C).
    25. Lin, Keliang & Ghosh, Sudeshna & Abbas, Shujaat & Shahbaz, Muhammad & Ferraz, Diogo & Doğan, Buhari, 2024. "Heterogenous impact of energy security and environmental regulations on energy transition: Exploring the disparity between high-income and middle-income countries," Renewable Energy, Elsevier, vol. 237(PB).
    26. Lee, Chi-Chuan & Fang, Yuzhu & Quan, Shiyun & Li, Xinghao, 2024. "Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy," Energy Economics, Elsevier, vol. 135(C).
    27. Lee, Chi-Chuan & Song, Hepeng & An, Jiafu, 2024. "The impact of green finance on energy transition: Does climate risk matter?," Energy Economics, Elsevier, vol. 129(C).
    28. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
    29. Wang, Yong & Zhao, Wenhao & Ma, Xuejiao, 2024. "The spatial spillover impact of artificial intelligence on energy efficiency: Empirical evidence from 278 Chinese cities," Energy, Elsevier, vol. 312(C).
    30. Wen, Jun & Yin, Hua-Tang & Chang, Chun-Ping & Tang, Kai, 2024. "How AI shapes greener futures: Comparative insights from equity vs debt investment responses in renewable energy," Energy Economics, Elsevier, vol. 136(C).
    31. Rongbing Liu & Afifa Qadeer & Junqi Liu & Suleman Sarwar & Muhammad Wasim Hussan, 2024. "The Paradox of Progress towards SDG7: Governance Quality and Energy Poverty Dynamics in Pakistan," Sustainability, MDPI, vol. 16(19), pages 1-27, September.
    32. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
    33. Yang, Shengyao & Zhu, Meng Nan & Yu, Haiyan, 2024. "Are artificial intelligence and blockchain the key to unlocking the box of clean energy?," Energy Economics, Elsevier, vol. 134(C).
    34. Xu, Runguo & Chen, Xi & Dong, Peng, 2024. "Nexus among financial technologies, oil rents, governance and energy transition: Panel investigation from Asian Economies," Resources Policy, Elsevier, vol. 90(C).
    35. Ye, Tuo & Zhao, Songyu & Lau, Chi Keung Marco & Chau, Frankie, 2024. "Social media sentiment of hydrogen fuel cell vehicles in China: Evidence from artificial intelligence algorithms," Energy Economics, Elsevier, vol. 133(C).
    36. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
    37. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Hou, Yuqi, 2024. "AI and Nuclear: A perfect intersection of danger and potential?," Energy Economics, Elsevier, vol. 133(C).
    38. Mirela Diaconescu & Laura Elena Marinas & Ana Maria Marinoiu & Maria-Floriana Popescu & Mihai Diaconescu, 2024. "Towards Renewable Energy Transition: Insights from Bibliometric Analysis on Scholar Discourse to Policy Actions," Energies, MDPI, vol. 17(18), pages 1-40, September.
    39. Doğan, Buhari & Chu, Lan Khanh & Khalfaoui, Rabeh & Ghosh, Sudeshna & Shahbaz, Muhammad, 2024. "Strategy towards sustainable energy transition: The effect of policy uncertainty, environmental technology and natural resources rent in the OECD nations," Resources Policy, Elsevier, vol. 98(C).
    40. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
    41. Zarghami, Seyed Ashkan, 2025. "The role of economic policies in achieving sustainable development goal 7: Insights from OECD and European countries," Applied Energy, Elsevier, vol. 377(PB).
    42. Dong, Zequn & Tan, Chaodan & Ma, Biao & Ning, Zhaoshuo, 2024. "The impact of artificial intelligence on the energy transition: The role of regulatory quality as a guardrail, not a wall," Energy Economics, Elsevier, vol. 140(C).
    43. Tao, Miaomiao & Lin, Boqiang & Poletti, Stephen & Pan, Addison, 2024. "Can financial literacy Ease energy poverty? Some Lessons at the household level in China," Utilities Policy, Elsevier, vol. 91(C).
    44. Ma, Lina & Iqbal, Najaf & Bouri, Elie & Zhang, Yang, 2023. "How good is green finance for green innovation? Evidence from the Chinese high-carbon sector," Resources Policy, Elsevier, vol. 85(PB).
    45. Zhang, Xiaojing & Khan, Khalid & Shao, Xuefeng & Oprean-Stan, Camelia & Zhang, Qian, 2024. "The rising role of artificial intelligence in renewable energy development in China," Energy Economics, Elsevier, vol. 132(C).
    46. Jiao, Anqi & Lu, Juntai & Ren, Honglin & Wei, Jia, 2024. "The role of AI capabilities in environmental management: Evidence from USA firms," Energy Economics, Elsevier, vol. 134(C).
    47. Xu, Si & Zhang, You & Chen, Lan & Leong, Lin Woon & Muda, Iskandar & Ali, Anis, 2023. "How Fintech and effective governance derive the greener energy transition: Evidence from panel-corrected standard errors approach," Energy Economics, Elsevier, vol. 125(C).

  10. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2023. "Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

    Cited by:

    1. Lahmiri, Salim, 2024. "Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study," Resources Policy, Elsevier, vol. 92(C).

  11. Njud S. Alharbi & Hadi Jahanshahi & Qijia Yao & Stelios Bekiros & Irene Moroz, 2023. "Enhanced Classification of Heartbeat Electrocardiogram Signals Using a Long Short-Term Memory–Convolutional Neural Network Ensemble: Paving the Way for Preventive Healthcare," Mathematics, MDPI, vol. 11(18), pages 1-17, September.

    Cited by:

    1. Hajid Alsubaie & Ahmed Alotaibi, 2023. "A Model-Free Control Scheme for Rehabilitation Robots: Integrating Real-Time Observations with a Deep Neural Network for Enhanced Control and Reliability," Mathematics, MDPI, vol. 11(23), pages 1-14, November.
    2. Alharbi, Njud S. & Bekiros, Stelios & Jahanshahi, Hadi & Mou, Jun & Yao, Qijia, 2024. "Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

  12. Ahmad, Wasim & Tiwari, Shiv Ratan & Wadhwani, Akshay & Khan, Mohammad Azeem & Bekiros, Stelios, 2023. "Financial networks and systemic risk vulnerabilities: A tale of Indian banks," Research in International Business and Finance, Elsevier, vol. 65(C).

    Cited by:

    1. Ali, Shoaib & Naveed, Muhammad & Gubareva, Mariya & Vinh Vo, Xuan, 2024. "Reputational contagion from the Silicon Valley Bank debacle," Research in International Business and Finance, Elsevier, vol. 69(C).

  13. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Jinping Liu & Abdullah A. Al-Barakati, 2023. "Fixed-Time Adaptive Chaotic Control for Permanent Magnet Synchronous Motor Subject to Unknown Parameters and Perturbations," Mathematics, MDPI, vol. 11(14), pages 1-14, July.

    Cited by:

    1. Rajendran, Sangeetha & Kaliyaperumal, Palanivel, 2025. "Prescribed-time synchronization of hyperchaotic fuzzy stochastic PMSM model with an application to secure communications," Applied Mathematics and Computation, Elsevier, vol. 493(C).

  14. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).

    Cited by:

    1. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
    2. H. Mesgarani & Y. Esmaeelzade Aghdam & A. Beiranvand & J. F. Gómez-Aguilar, 2024. "A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1609-1626, April.
    3. Bukhari, Ayaz Hussain & Raja, Muhammad Asif Zahoor & Shoaib, Muhammad & Kiani, Adiqa Kausar, 2022. "Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    4. Fawaz W. Alsaade & Mohammed S. Al-zahrani & Qijia Yao & Hadi Jahanshahi, 2023. "A Self-Evolving Neural Network-Based Finite-Time Control Technique for Tracking and Vibration Suppression of a Carbon Nanotube," Mathematics, MDPI, vol. 11(7), pages 1-15, March.
    5. Zhiyuan Yuan & Luyao Wang & Wenchang He & Ning Cai & Jia Mu, 2024. "Fractional Neutral Integro-Differential Equations with Nonlocal Initial Conditions," Mathematics, MDPI, vol. 12(12), pages 1-14, June.
    6. Li, Ruihong & Li, Xingxin & Gan, Qintao & Wu, Huaiqin & Cao, Jinde, 2023. "Finite time event-triggered consensus of variable-order fractional multi-agent systems," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    7. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    9. Mukhtar, Roshana & Chang, Chuan-Yu & Raja, Muhammad Asif Zahoor & Chaudhary, Naveed Ishtiaq & Shu, Chi-Min, 2024. "Novel nonlinear fractional order Parkinson's disease model for brain electrical activity rhythms: Intelligent adaptive Bayesian networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    10. Muhamad Deni Johansyah & Aceng Sambas & Saleh Mobayen & Behrouz Vaseghi & Saad Fawzi Al-Azzawi & Sukono & Ibrahim Mohammed Sulaiman, 2022. "Dynamical Analysis and Adaptive Finite-Time Sliding Mode Control Approach of the Financial Fractional-Order Chaotic System," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    11. Hassan, Shahzaib Ahmed & Raja, Muhammad Junaid Ali Asif & Chang, Chuan-Yu & Shu, Chi-Min & Shoaib, Muhammad & Kiani, Adiqa Kausar & Raja, Muhammad Asif Zahoor, 2024. "Nonlinear chaotic Lorenz-Lü-Chen fractional order dynamics: A novel machine learning expedition with deep autoregressive exogenous neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).

  15. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.

    Cited by:

    1. Ye, Rendao & Xiao, Jian & Zhang, Yilan, 2024. "Risk spillover effect of the new energy market and its hedging effectiveness: New evidence from industry chain," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1061-1079.
    2. Yousfi, Mohamed & Farhani, Ramzi & Bouzgarrou, Houssam, 2024. "From the pandemic to the Russia–Ukraine crisis: Dynamic behavior of connectedness between financial markets and implications for portfolio management," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1178-1197.
    3. Huang, Jionghao & Chen, Baifan & Xu, Yushi & Xia, Xiaohua, 2023. "Time-frequency volatility transmission among energy commodities and financial markets during the COVID-19 pandemic: A Novel TVP-VAR frequency connectedness approach," Finance Research Letters, Elsevier, vol. 53(C).
    4. Oktay Ozkan & Salah Abosedra & Arshian Sharif & Andrew Adewale Alola, 2024. "Dynamic volatility among fossil energy, clean energy and major assets: evidence from the novel DCC-GARCH," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-19, June.
    5. Naeem, Muhammad Abubakr & Farid, Saqib & Yousaf, Imran & Kang, Sang Hoon, 2023. "Asymmetric efficiency in petroleum markets before and during COVID-19," Resources Policy, Elsevier, vol. 86(PA).

  16. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Indirect Neural-Enhanced Integral Sliding Mode Control for Finite-Time Fault-Tolerant Attitude Tracking of Spacecraft," Mathematics, MDPI, vol. 10(14), pages 1-18, July.

    Cited by:

    1. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    2. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Stabilization of Nonlinear Vibration of a Fractional-Order Arch MEMS Resonator Using a New Disturbance-Observer-Based Finite-Time Sliding Mode Control," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    3. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    5. Jahanshahi, Hadi & Yao, Qijia & Alotaibi, Naif D., 2024. "Fixed-time nonsingular adaptive attitude control of spacecraft subject to actuator faults," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    6. Nguyen Xuan-Mung & Mehdi Golestani & Sung Kyung Hong, 2023. "Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach," Mathematics, MDPI, vol. 11(1), pages 1-23, January.

  17. Qijia Yao & Hadi Jahanshahi & Irene Moroz & Naif D. Alotaibi & Stelios Bekiros, 2022. "Neural Adaptive Fixed-Time Attitude Stabilization and Vibration Suppression of Flexible Spacecraft," Mathematics, MDPI, vol. 10(10), pages 1-17, May.

    Cited by:

    1. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Stabilization of Nonlinear Vibration of a Fractional-Order Arch MEMS Resonator Using a New Disturbance-Observer-Based Finite-Time Sliding Mode Control," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    2. Nguyen Xuan-Mung & Mehdi Golestani & Sung-Kyung Hong, 2022. "Tan-Type BLF-Based Attitude Tracking Control Design for Rigid Spacecraft with Arbitrary Disturbances," Mathematics, MDPI, vol. 10(23), pages 1-21, December.
    3. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    5. Fawaz W. Alsaade & Mohammed S. Al-zahrani, 2023. "A Novel Fault-Tolerant Super-Twisting Control Technique for Chaos Stabilization in Fractional-Order Arch MEMS Resonators," Mathematics, MDPI, vol. 11(10), pages 1-18, May.
    6. Nguyen Xuan-Mung & Mehdi Golestani & Sung Kyung Hong, 2023. "Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach," Mathematics, MDPI, vol. 11(1), pages 1-23, January.

  18. Lahmiri, Salim & Bekiros, Stelios, 2022. "Complexity measures of high oscillations in phonocardiogram as biomarkers to distinguish between normal heart sound and pathological murmur," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).

    Cited by:

    1. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2023. "Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

  19. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2022. "Deep learning systems for automatic diagnosis of infant cry signals," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).

    Cited by:

    1. Lai, Qiang & Chen, Zhijie, 2023. "Dynamical analysis and finite-time synchronization of grid-scroll memristive chaotic system without equilibrium," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    2. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2023. "Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

  20. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).

    Cited by:

    1. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    2. Fan, Gaofeng & Ma, Yuechao, 2023. "Fault-tolerant fixed/preassigned-time synchronization control of uncertain singularly perturbed complex networks with time-varying delay and stochastic disturbances," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    3. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Chen, Liping & Liu, Chuang & Lopes, António M. & Lin, Yong & Liu, Yingxiao & Chen, YangQuan, 2024. "LMI synchronization conditions for variable fractional-order one-sided Lipschitz chaotic systems with gain fluctuations," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    5. Yao, Qijia & Alsaade, Fawaz W. & Al-zahrani, Mohammed S. & Jahanshahi, Hadi, 2023. "Fixed-time neural control for output-constrained synchronization of second-order chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    6. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Jinping Liu & Abdullah A. Al-Barakati, 2023. "Fixed-Time Adaptive Chaotic Control for Permanent Magnet Synchronous Motor Subject to Unknown Parameters and Perturbations," Mathematics, MDPI, vol. 11(14), pages 1-14, July.

  21. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2022. "Evidence of the fractal market hypothesis in European industry sectors with the use of bootstrapped wavelet leaders singularity spectrum analysis," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).

    Cited by:

    1. P. S. Niveditha, 2025. "Identifying Safe Haven Assets: Evidence from Fractal Market Hypothesis," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 313-335, January.
    2. Mirza, Fuat Kaan & Baykaş, Tunçer & Hekimoğlu, Mustafa & Pekcan, Önder & Tunçay, Gönül Paçacı, 2024. "Decoding compositional complexity: Identifying composers using a model fusion-based approach with nonlinear signal processing and chaotic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).

  22. Simarjeet Singh & Nidhi Walia & Stelios Bekiros & Arushi Gupta & Jigyasu Kumar & Amar Kumar Mishra, 2022. "Risk-managed time-series momentum: an emerging economy experience," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 27(54), pages 328-343, November.

    Cited by:

    1. Zetty Zahureen Mohd Yusoff & Nur Zahidah Bahrudin & Ani Wilujeng Suryani, 2023. "Monetary Policy, Macroeconomic and Anomalies Interactions Post COVID in Developed and Eastern European Stock Markets," Information Management and Business Review, AMH International, vol. 15(3), pages 470-479.

  23. Qing Ding & Hadi Jahanshahi & Ye Wang & Stelios Bekiros & Madini O. Alassafi, 2022. "Optimal Reinforcement Learning-Based Control Algorithm for a Class of Nonlinear Macroeconomic Systems," Mathematics, MDPI, vol. 10(3), pages 1-13, February.

    Cited by:

    1. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.

  24. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems," Mathematics, MDPI, vol. 10(16), pages 1-15, August.

    Cited by:

    1. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    2. Fawaz W. Alsaade & Mohammed S. Al-zahrani, 2023. "A Novel Fault-Tolerant Super-Twisting Control Technique for Chaos Stabilization in Fractional-Order Arch MEMS Resonators," Mathematics, MDPI, vol. 11(10), pages 1-18, May.
    3. Tswa-wen Pierre-Patrick Banga-Banga & Carl Kriger & Yohan Darcy Mfoumboulou, 2022. "Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping," Energies, MDPI, vol. 15(22), pages 1-15, November.

  25. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

    Cited by:

    1. Ouannas, Adel & Batiha, Iqbal M. & Bekiros, Stelios & Liu, Jinping & Jahanshahi, Hadi & Aly, Ayman A. & Alghtani, Abdulaziz H., 2021. "Synchronization of the glycolysis reaction-diffusion model via linear control law," LSE Research Online Documents on Economics 112776, London School of Economics and Political Science, LSE Library.
    2. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    3. Bo Chen & Jie Gao & Zhicheng Zhao, 2025. "Analysis of the Interaction Between Endogenous Technological Innovation, Institutional Regulation, and Economic Long Wave: A Perspective from Nonlinear Dynamics," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    4. Qu, Hai-Dong & Liu, Xuan & Lu, Xin & ur Rahman, Mati & She, Zi-Hang, 2022. "Neural network method for solving nonlinear fractional advection-diffusion equation with spatiotemporal variable-order," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    5. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
    6. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    7. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    8. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    9. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    10. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    11. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Stabilization of Nonlinear Vibration of a Fractional-Order Arch MEMS Resonator Using a New Disturbance-Observer-Based Finite-Time Sliding Mode Control," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    12. Dmitry Zhukov & Vadim Zhmud & Konstantin Otradnov & Vladimir Kalinin, 2024. "Solution of Fractional Differential Boundary Value Problems with Arbitrary Values of Derivative Orders for Time Series Analysis," Mathematics, MDPI, vol. 12(24), pages 1-24, December.
    13. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    14. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    15. Weiwei Liu & Lishan Liu, 2021. "Existence of Positive Solutions for a Higher-Order Fractional Differential Equation with Multi-Term Lower-Order Derivatives," Mathematics, MDPI, vol. 9(23), pages 1-23, November.
    16. 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.
    17. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    18. Bekiros, Stelios & Jahanshahi, Hadi & Bezzina, Frank & Aly, Ayman A., 2021. "A novel fuzzy mixed H2/H∞ optimal controller for hyperchaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    19. Paul, James Nicodemus & Mbalawata, Isambi Sailon & Mirau, Silas Steven & Masandawa, Lemjini, 2023. "Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

  26. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.

    Cited by:

    1. Yi, Xingjian & Liu, Sheng & Wu, Zhouheng, 2022. "What drives credit expansion worldwide?——An empirical investigation with long-term cross-country panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 225-242.
    2. Mateusz Pipień & Dobiesław Tymoczko, 2024. "Does the credit cycle exist? Policy recommendations based on empirical analyses of the Polish banking sector," Bank i Kredyt, Narodowy Bank Polski, vol. 55(1), pages 1-20.

  27. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).

    Cited by:

    1. Shoreh, A.A.-H. & Kuznetsov, N.V. & Mokaev, T.N., 2022. "New adaptive synchronization algorithm for a general class of complex hyperchaotic systems with unknown parameters and its application to secure communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    2. Surendar, R. & Muthtamilselvan, M. & Ahn, Kyubok, 2024. "Stochastic disturbance with finite-time chaos stabilization and synchronization for a fractional-order nonautonomous hybrid nonlinear complex system via a sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    3. Jie Zhang & Jiliang Lv & Nana Cheng & Xiaodong Wei & Liu Yang, 2025. "Mismatch synchronization based on 4D memristive chaotic system and its application in image encryption," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 98(4), pages 1-21, April.
    4. Zhang, Tianping & Zhang, Wei, 2024. "Adaptive practical prescribed-time control for uncertain nonlinear systems with time-varying parameters," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    5. Jiang Wang & Yang Gu & Kang Rong & Quan Xu & Xi Zhang, 2022. "Memristor-Based Lozi Map with Hidden Hyperchaos," Mathematics, MDPI, vol. 10(19), pages 1-12, September.
    6. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).

  28. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

    Cited by:

    1. Ouannas, Adel & Batiha, Iqbal M. & Bekiros, Stelios & Liu, Jinping & Jahanshahi, Hadi & Aly, Ayman A. & Alghtani, Abdulaziz H., 2021. "Synchronization of the glycolysis reaction-diffusion model via linear control law," LSE Research Online Documents on Economics 112776, London School of Economics and Political Science, LSE Library.
    2. Guo, Pengteng & Shi, Qiqing & Jian, Zeng & Zhang, Jing & Ding, Qun & Yan, Wenhao, 2024. "An intelligent controller of homo-structured chaotic systems under noisy conditions and applications in image encryption," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    3. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
    4. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    5. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    6. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    7. H. Mesgarani & Y. Esmaeelzade Aghdam & A. Beiranvand & J. F. Gómez-Aguilar, 2024. "A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1609-1626, April.
    8. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    9. Alharbi, Njud S. & Bekiros, Stelios & Jahanshahi, Hadi & Mou, Jun & Yao, Qijia, 2024. "Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    10. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Stabilization of Nonlinear Vibration of a Fractional-Order Arch MEMS Resonator Using a New Disturbance-Observer-Based Finite-Time Sliding Mode Control," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    11. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Indirect Neural-Enhanced Integral Sliding Mode Control for Finite-Time Fault-Tolerant Attitude Tracking of Spacecraft," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    12. Sepestanaki, Mohammadreza Askari & Rezaee, Hamidreza & Soofi, Mohammad & Fayazi, Hossein & Rouhani, Seyed Hossein & Mobayen, Saleh, 2024. "Adaptive continuous barrier function-based super-twisting global sliding mode stabilizer for chaotic supply chain systems," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    13. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    14. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    15. Johansyah, Muhamad Deni & Sambas, Aceng & Zheng, Song & Benkouider, Khaled & Vaidyanathan, Sundarapandian & Mohamed, Mohamad Afendee & Mamat, Mustafa, 2023. "A novel financial system with one stable and two unstable equilibrium points: Dynamics, coexisting attractors, complexity analysis and synchronization using integral sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    16. Yao, Qijia & Alsaade, Fawaz W. & Al-zahrani, Mohammed S. & Jahanshahi, Hadi, 2023. "Fixed-time neural control for output-constrained synchronization of second-order chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    17. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Jinping Liu & Abdullah A. Al-Barakati, 2023. "Fixed-Time Adaptive Chaotic Control for Permanent Magnet Synchronous Motor Subject to Unknown Parameters and Perturbations," Mathematics, MDPI, vol. 11(14), pages 1-14, July.
    18. Muhamad Deni Johansyah & Aceng Sambas & Saleh Mobayen & Behrouz Vaseghi & Saad Fawzi Al-Azzawi & Sukono & Ibrahim Mohammed Sulaiman, 2022. "Dynamical Analysis and Adaptive Finite-Time Sliding Mode Control Approach of the Financial Fractional-Order Chaotic System," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    19. Liu, Chongyang & Zhou, Tuo & Gong, Zhaohua & Yi, Xiaopeng & Teo, Kok Lay & Wang, Song, 2023. "Robust optimal control of nonlinear fractional systems," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).

  29. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.

    Cited by:

    1. 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.
    2. Liao, Xin & Li, Qin & Chan, Stephen & Chu, Jeffrey & Zhang, Yuanyuan, 2024. "Interconnections and contagion among cryptocurrencies, DeFi, NFT and traditional financial assets: Some new evidence from tail risk driven network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
    3. Shikta Sing & Supun Chandrasena & Yue Shi & Abdullah Alhussain & Claude DIEBOLT & Martin Enilov & Tapas Mishra, 2024. "A Learning Model with Memory in the Financial Markets," Working Papers 06-24, Association Française de Cliométrie (AFC).

  30. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).

    Cited by:

    1. Wang, Yupin & Li, Xiaodi & Wang, Da & Liu, Shutang, 2022. "A brief note on fractal dynamics of fractional Mandelbrot sets," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    2. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    3. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    4. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    5. Ávalos-Ruíz, L.F. & Zúñiga-Aguilar, C.J. & Gómez-Aguilar, J.F. & Cortes-Campos, H.M. & Lavín-Delgado, J.E., 2023. "A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    6. Al-Barakati, Abdullah A. & Mesdoui, Fatiha & Bekiros, Stelios & Kaçar, Sezgin & Jahanshahi, Hadi, 2024. "A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    7. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. Zhenggang Guo & Junjie Wen & Jun Mou, 2022. "Dynamic Analysis and DSP Implementation of Memristor Chaotic Systems with Multiple Forms of Hidden Attractors," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
    9. Liu, Yang & Chen, Liping & Wu, Xiaobo & Lopes, António M. & Cui, Fengqi & Chen, YangQuan, 2023. "Theoretical analysis and experimental verification of fractional-order RC cobweb circuit network," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

  31. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).

    Cited by:

    1. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
    2. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    3. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    4. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    5. Zhu, Wanting & Sun, Kehui & He, Shaobo & Wang, Huihai & Liu, Wenhao, 2023. "A class of m-dimension grid multi-cavity hyperchaotic maps and its application," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    6. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    7. Shoji, Isao & Nozawa, Masahiro, 2022. "Geometric analysis of nonlinear dynamics in application to financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    8. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    9. Orlando Gomes, 2024. "The emergence of chaos in productivity distribution dynamics," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(2), pages 565-596, December.

  32. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).

    Cited by:

    1. Ahmet Gençyürek, 2024. "Volatility Modeling and Spillover: The Turkish and Russian Stock Markets," Istanbul Business Research, Istanbul University Business School, vol. 53(1), pages 81-101, April.
    2. He Huang & Liwei Zhong & Ting Shen & Huixin Wang, 2022. "Performance prediction and optimization for healthcare enterprises in the context of the COVID-19 pandemic: an intelligent DEA-SVM model," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3778-3791, December.
    3. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    5. Öztunç Kaymak, Öznur & Kaymak, Yiğit, 2022. "Prediction of crude oil prices in COVID-19 outbreak using real data," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    6. Ergemen, Yunus Emre & Haldrup, Niels & Rodríguez-Caballero, Carlos Vladimir, 2016. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," Energy Economics, Elsevier, vol. 60(C), pages 79-96.
    7. Stefan Cristian Gherghina & Daniel Stefan Armeanu & Jean Vasile Andrei & Camelia Catalina Joldes, 2024. "Spillover Connectedness Between Cryptocurrency and Energy Sector: An Empirical Investigation Under Asymmetric Exogenous Shocks of Health and Geopolitical Crisis and Uncertainties," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16454-16510, December.
    8. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2022. "Evidence of the fractal market hypothesis in European industry sectors with the use of bootstrapped wavelet leaders singularity spectrum analysis," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    9. Foued Sa^adaoui, 2023. "Structured Multifractal Scaling of the Principal Cryptocurrencies: Examination using a Self-Explainable Machine Learning," Papers 2304.08440, arXiv.org.
    10. Xiao, Anran & Xu, Zeshui & Wu, Tong & Qin, Yong & Skare, Marinko, 2024. "Technological progress and economic dynamics: Unveiling the long memory of total factor productivity," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 326-343.
    11. Saâdaoui, Foued, 2023. "Skewed multifractal scaling of stock markets during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).

  33. Bo Wang & Hadi Jahanshahi & Stelios Bekiros & Yu-Ming Chu & J. F. Gã“Mez-Aguilar & Fawaz E. Alsaadi & Madini O. Alassafi, 2021. "Tracking Control And Stabilization Of A Fractional Financial Risk System Using Novel Active Finite-Time Fault-Tolerant Controls," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(06), pages 1-20, September.

    Cited by:

    1. H. Mesgarani & Y. Esmaeelzade Aghdam & A. Beiranvand & J. F. Gómez-Aguilar, 2024. "A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1609-1626, April.
    2. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    3. Xu, Zhao & Sun, Kehui & Wang, Huihai, 2024. "Dynamics and function projection synchronization for the fractional-order financial risk system," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
    4. Liu, Chongyang & Zhou, Tuo & Gong, Zhaohua & Yi, Xiaopeng & Teo, Kok Lay & Wang, Song, 2023. "Robust optimal control of nonlinear fractional systems," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    5. Alsaadi, Fawaz E. & Bekiros, Stelios & Yao, Qijia & Liu, Jinping & Jahanshahi, Hadi, 2023. "Achieving resilient chaos suppression and synchronization of fractional-order supply chains with fault-tolerant control," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).

  34. Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Alotaibi, Naif D., 2021. "A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

    Cited by:

    1. Svajone Bekesiene & Igor Samoilenko & Anatolij Nikitin & Ieva Meidute-Kavaliauskiene, 2022. "The Complex Systems for Conflict Interaction Modelling to Describe a Non-Trivial Epidemiological Situation," Mathematics, MDPI, vol. 10(4), pages 1-24, February.
    2. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    3. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    4. Xie, Bing & Ge, Fudong, 2023. "Parameters and order identification of fractional-order epidemiological systems by Lévy-PSO and its application for the spread of COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    5. Sk, Tahajuddin & Biswas, Santosh & Sardar, Tridip, 2022. "The impact of a power law-induced memory effect on the SARS-CoV-2 transmission," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    6. Claudia A. Pérez-Pinacho & Cristina Verde, 2022. "A Note on an Integral Transformation for the Equivalence between a Fractional and Integer Order Diffusion Model," Mathematics, MDPI, vol. 10(5), pages 1-13, February.
    7. Arshad, Sadia & Siddique, Imran & Nawaz, Fariha & Shaheen, Aqila & Khurshid, Hina, 2023. "Dynamics of a fractional order mathematical model for COVID-19 epidemic transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    8. Li, Ruqi & Song, Yurong & Li, Min & Qu, Hongbo & Jiang, Guo-Ping, 2025. "Dynamic analysis and data-driven inference of a fractional-order SEIHDR epidemic model with variable parameters," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 230(C), pages 1-19.
    9. Kaviya, R. & Priyanka, M. & Muthukumar, P., 2022. "Mean-square exponential stability of impulsive conformable fractional stochastic differential system with application on epidemic model," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    10. Alsaadi, Fawaz E. & Bekiros, Stelios & Yao, Qijia & Liu, Jinping & Jahanshahi, Hadi, 2023. "Achieving resilient chaos suppression and synchronization of fractional-order supply chains with fault-tolerant control," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    11. Paul, James Nicodemus & Mbalawata, Isambi Sailon & Mirau, Silas Steven & Masandawa, Lemjini, 2023. "Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

  35. Bekiros, Stelios & Jahanshahi, Hadi & Bezzina, Frank & Aly, Ayman A., 2021. "A novel fuzzy mixed H2/H∞ optimal controller for hyperchaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

    Cited by:

    1. Ouannas, Adel & Batiha, Iqbal M. & Bekiros, Stelios & Liu, Jinping & Jahanshahi, Hadi & Aly, Ayman A. & Alghtani, Abdulaziz H., 2021. "Synchronization of the glycolysis reaction-diffusion model via linear control law," LSE Research Online Documents on Economics 112776, London School of Economics and Political Science, LSE Library.
    2. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    3. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    4. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    5. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Indirect Neural-Enhanced Integral Sliding Mode Control for Finite-Time Fault-Tolerant Attitude Tracking of Spacecraft," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    6. Al-Barakati, Abdullah A. & Mesdoui, Fatiha & Bekiros, Stelios & Kaçar, Sezgin & Jahanshahi, Hadi, 2024. "A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).

  36. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2021. "Characterization of infant healthy and pathological cry signals in cepstrum domain based on approximate entropy and correlation dimension," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

    Cited by:

    1. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2022. "Deep learning systems for automatic diagnosis of infant cry signals," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    2. Jonathan Acosta & Ronny Vallejos & John Gómez, 2024. "Correlation Integral for Stationary Gaussian Time Series," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(1), pages 191-214, February.
    3. Zhou, Shuang & Wang, Xingyuan & Zhou, Wenjie & Zhang, Chuan, 2022. "Recognition of the scale-free interval for calculating the correlation dimension using machine learning from chaotic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    4. Lahmiri, Salim & Tadj, Chakib & Gargour, Christian & Bekiros, Stelios, 2023. "Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

  37. Bekiros, Stelios & Kouloumpou, Dimitra, 2020. "SBDiEM: A new mathematical model of infectious disease dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).

    Cited by:

    1. Matouk, A.E., 2020. "Complex dynamics in susceptible-infected models for COVID-19 with multi-drug resistance," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    2. Yigit Aydogan, 2020. "A Microeconomic Analysis of the COVID-19 Distribution in Turkey," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(2), pages 11-25, December.
    3. Hanthanan Arachchilage, Kalpana & Hussaini, Mohammed Yousuff, 2021. "Ranking non-pharmaceutical interventions against Covid-19 global pandemic using global sensitivity analysis—Effect on number of deaths," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    4. Mishra, A.M. & Purohit, S.D. & Owolabi, K.M. & Sharma, Y.D., 2020. "A nonlinear epidemiological model considering asymptotic and quarantine classes for SARS CoV-2 virus," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    5. Javier Cifuentes-Faura & Ursula Faura-Martínez & Matilde Lafuente-Lechuga, 2022. "Mathematical Modeling and the Use of Network Models as Epidemiological Tools," Mathematics, MDPI, vol. 10(18), pages 1-14, September.
    6. Victor Zakharov & Yulia Balykina & Ovanes Petrosian & Hongwei Gao, 2020. "CBRR Model for Predicting the Dynamics of the COVID-19 Epidemic in Real Time," Mathematics, MDPI, vol. 8(10), pages 1-10, October.
    7. Veli B. Shakhmurov & Muhammet Kurulay & Aida Sahmurova & Mustafa Can Gursesli & Antonio Lanata, 2023. "A Novel Nonlinear Dynamic Model Describing the Spread of Virus," Mathematics, MDPI, vol. 11(20), pages 1-15, October.
    8. Anand, Monalisa & Danumjaya, P. & Rao, P. Raja Sekhara, 2023. "A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 346-369.
    9. Gandzha, I.S. & Kliushnichenko, O.V. & Lukyanets, S.P., 2021. "Modeling and controlling the spread of epidemic with various social and economic scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    10. Zhang, Zehui & Zhu, Kangci & Wang, Fang, 2025. "Indirect information propagation model with time-delay effect on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    11. Milad Haghani & Michiel C. J. Bliemer, 2020. "Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2695-2726, December.
    12. Barrio, Rafael A. & Kaski, Kimmo K. & Haraldsson, Guđmundur G. & Aspelund, Thor & Govezensky, Tzipe, 2021. "A model for social spreading of Covid-19: Cases of Mexico, Finland and Iceland," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    13. Hoang Pham, 2022. "Mathematical Modeling the Time-Delay Interactions between Tumor Viruses and the Immune System with the Effects of Chemotherapy and Autoimmune Diseases," Mathematics, MDPI, vol. 10(5), pages 1-15, February.

  38. Lahmiri, Salim & Bekiros, Stelios, 2020. "Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).

    Cited by:

    1. Paolo Angelis & Roberto Marchis & Mario Marino & Antonio Luciano Martire & Immacolata Oliva, 2021. "Betting on bitcoin: a profitable trading between directional and shielding strategies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 883-903, December.
    2. Bartosz Bieganowski & Robert 'Slepaczuk, 2024. "Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data," Papers 2411.12753, arXiv.org, revised Nov 2024.
    3. Hakan Pabuccu & Serdar Ongan & Ayse Ongan, 2023. "Forecasting the movements of Bitcoin prices: an application of machine learning algorithms," Papers 2303.04642, arXiv.org.
    4. Mingzhe Wei & Georgios Sermpinis & Charalampos Stasinakis, 2023. "Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 852-871, July.
    5. Ngo, Vu Minh & Nguyen, Huan Huu & Van Nguyen, Phuc, 2023. "Does reinforcement learning outperform deep learning and traditional portfolio optimization models in frontier and developed financial markets?," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Hulusi Mehmet Tanrikulu & Hakan Pabuccu, 2024. "The Effect of Data Types' on the Performance of Machine Learning Algorithms for Financial Prediction," Papers 2404.19324, arXiv.org.
    7. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
    8. Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "How well do investor sentiment and ensemble learning predict Bitcoin prices?," Research in International Business and Finance, Elsevier, vol. 64(C).
    9. Sudersan Behera & Sarat Chandra Nayak & A. V. S. Pavan Kumar, 2024. "Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1219-1258, August.
    10. Bartosz Bieganowski & Robert Slepaczuk, 2024. "Supervised Autoencoder MLP for Financial Time Series Forecasting," Papers 2404.01866, arXiv.org, revised Jun 2024.
    11. Cao, Guangxi & Ling, Meijun, 2022. "Asymmetry and conduction direction of the interdependent structure between cryptocurrency and US dollar, renminbi, and gold markets," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    12. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Parisa Foroutan & Salim Lahmiri, 2024. "Deep learning systems for forecasting the prices of crude oil and precious metals," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-40, December.
    14. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Hiroki Sakaji & Kiyoshi Izumi & Atsuo Kato, 2020. "Deep Reinforcement Learning in Agent Based Financial Market Simulation," JRFM, MDPI, vol. 13(4), pages 1-17, April.
    15. Minati, Ludovico & Mancinelli, Mattia & Frasca, Mattia & Bettotti, Paolo & Pavesi, Lorenzo, 2021. "An analog electronic emulator of non-linear dynamics in optical microring resonators," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    16. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    17. Lu Zhang & Lei Hua, 2025. "Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions," Mathematics, MDPI, vol. 13(3), pages 1-40, January.
    18. Deng, Ziwei & Li, Yuxuan & Zhu, Hongqiu & Huang, Keke & Tang, Zhaohui & Wang, Zhen, 2020. "Sparse stacked autoencoder network for complex system monitoring with industrial applications," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    19. Rolando Rubilar-Torrealba & Karime Chahuán-Jiménez & Hanns de la Fuente-Mella, 2023. "A Stochastic Analysis of the Effect of Trading Parameters on the Stability of the Financial Markets Using a Bayesian Approach," Mathematics, MDPI, vol. 11(11), pages 1-14, May.
    20. Bhaskar Tripathi & Rakesh Kumar Sharma, 2023. "Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1919-1945, December.
    21. Gil Cohen, 2022. "Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies," Mathematics, MDPI, vol. 10(18), pages 1-13, September.
    22. Ana Paula Santos Gularte & Danusio Gadelha Guimarães Filho & Gabriel Oliveira Torres & Thiago Carvalho Nunes Silva & Vitor Venceslau Curtis, 2024. "Machine Learning-Based Time Series Prediction at Brazilian Stocks Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2477-2508, October.

  39. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).

    Cited by:

    1. Salim Lahmiri, 2025. "Wavelet Entropy for Efficiency Assessment of Price, Return, and Volatility of Brent and WTI During Extreme Events," Commodities, MDPI, vol. 4(2), pages 1-10, March.
    2. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    3. Caferra, Rocco, 2022. "Sentiment spillover and price dynamics: Information flow in the cryptocurrency and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    4. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Ebenezer Boateng & Emmanuel Asafo-Adjei & John Gartchie Gatsi & ªtefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2022. "Multifrequency-based non-linear approach to analyzing implied volatility transmission across global financial markets," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 699-743, September.
    6. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    7. Moinak Maiti & Parthajit Kayal, 2022. "Asymmetric Information Flow between Exchange Rate, Oil, and Gold: New Evidence from Transfer Entropy Approach," JRFM, MDPI, vol. 16(1), pages 1-14, December.
    8. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.
    10. Xia, Yufei & Han, Zhiyin & Zheng, Qiong & Yang, Xiaoli, 2024. "The (in)effectiveness of financial consumer protection: Quasi-experimental evidence from consumer finance in China," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    11. Daniel Stefan Armeanu & Stefan Cristian Gherghina & Jean Vasile Andrei & Camelia Catalina Joldes, 2023. "Evidence from the nonlinear autoregressive distributed lag model on the asymmetric influence of the first wave of the COVID-19 pandemic on energy markets," Energy & Environment, , vol. 34(5), pages 1433-1470, August.
    12. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2022. "Evidence of the fractal market hypothesis in European industry sectors with the use of bootstrapped wavelet leaders singularity spectrum analysis," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    14. Assaf, Ata & Mokni, Khaled & Youssef, Manel, 2023. "COVID-19 and information flow between cryptocurrencies, and conventional financial assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 73-81.
    15. Alves, P.R.L., 2022. "Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 480-499.
    16. Ryuji Ishizaki & Masayoshi Inoue, 2024. "Short-term Kullback–Leibler divergence analysis to extract unstable periods in financial time series," Evolutionary and Institutional Economics Review, Springer, vol. 21(2), pages 227-236, September.

  40. Avdoulas Christos & Bekiros Stelios & Lucey Brian, 2020. "The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-23, September.

    Cited by:

    1. Zhuang, Yangyang & Zhang, Ditian & Tang, Pan & Peng, Hongjuan, 2024. "Clustering effects and evolution of the global major 10-year government bond market structure: A network perspective," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).

  41. Sang Hoon Kang & Seong-Min Yoon & Stelios Bekiros & Gazi S. Uddin, 2020. "Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 529-545, August.

    Cited by:

    1. Bhuiyan, Rubaiyat Ahsan & Husain, Afzol & Zhang, Changyong, 2021. "A wavelet approach for causal relationship between bitcoin and conventional asset classes," Resources Policy, Elsevier, vol. 71(C).
    2. Mahla Afghahi & Farzaneh Nassirzadeh & Davood Askarany, 2024. "Exploring the impact of customer concentration on stock price crash risk," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    3. Wang, Yuhan & Xiao, Di, 2025. "Novel symbolic detection for flight-to-safety in Bitcoin and investigation of information flow dynamics alongside multiple markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 660(C).
    4. Gaies, Brahim & Chaâbane, Najeh & Arfaoui, Nadia & Sahut, Jean-Michel, 2024. "On the resilience of cryptocurrencies: A quantile-frequency analysis of bitcoin and ethereum reactions in times of inflation and financial instability," Research in International Business and Finance, Elsevier, vol. 70(PA).
    5. Marek Nagy & Katarina Valaskova & Erika Kovalova & Marcel Macura, 2024. "Drivers of S&P 500’s Profitability: Implications for Investment Strategy and Risk Management," Economies, MDPI, vol. 12(4), pages 1-24, March.
    6. Huang, Linxian, 2024. "The relationship between cryptocurrencies and convention financial market: Dynamic causality test and time-varying influence," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 811-826.
    7. Taha Zaghdoudi & Kais Tissaoui & Mohamed Hédi Maâloul & Younès Bahou & Niazi Kammoun, 2024. "Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach," Energies, MDPI, vol. 17(13), pages 1-15, July.
    8. Satya Prakash Yadav & Krishna Kant Agrawal & Bhoopesh Singh Bhati & Fadi Al-Turjman & Leonardo Mostarda, 2022. "Blockchain-Based Cryptocurrency Regulation: An Overview," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1659-1675, April.
    9. Będowska-Sójka, Barbara & Kliber, Agata, 2021. "Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    10. Lei Wang & Provash Kumer Sarker & Elie Bouri, 2023. "Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1305-1330, April.
    11. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.
    12. Jabbour, George M. & Mansour-Ichrakieh, Layal, 2025. "“Dollarization vs. bitcoinization in Türkiye: Which is more dangerous for the financial market?”," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 100(C).
    13. Pham, Linh & Huynh, Toan Luu Duc & Hanif, Waqas, 2023. "Time-varying asymmetric spillovers among cryptocurrency, green and fossil-fuel investments," Global Finance Journal, Elsevier, vol. 58(C).
    14. Xu, Lei & Kinkyo, Takuji, 2023. "Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    15. Kliber, Agata & Będowska-Sójka, Barbara, 2024. "Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy," Energy Economics, Elsevier, vol. 138(C).

  42. Wang, Shaojie & Bekiros, Stelios & Yousefpour, Amin & He, Shaobo & Castillo, Oscar & Jahanshahi, Hadi, 2020. "Synchronization of fractional time-delayed financial system using a novel type-2 fuzzy active control method," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).

    Cited by:

    1. Durdu, Ali & Uyaroğlu, Yılmaz, 2022. "Comparison of synchronization of chaotic Burke-Shaw attractor with active control and integer-order and fractional-order P-C method," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    2. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    3. Bekiros, Stelios & Laarem, Guessas & Mou, Jun & Al-Barakati, Abdullah A. & Jahanshahi, Hadi, 2023. "Heterogeneous agent-based modeling of endogenous boom-bust cycles in financial markets with adaptive expectations and dynamically switching fractions between contrarian and fundamental market entry st," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    5. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    6. Tiwari, Ankit & Singh, Piyush Pratap & Roy, Binoy Krishna, 2024. "A realizable chaotic system with interesting sets of equilibria, characteristics, and its underactuated predefined-time sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    7. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    8. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    9. Phukan, Animesh & Sarmah, Hemanta Kumar, 2025. "Bifurcation analysis of a non linear 6D financial system with three time delay feedback," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    10. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    11. Hu, Tingyao & Luo, Shaohua & Zhang, Ya & Deng, Guangwei & Ouakad, Hassen M., 2024. "Dynamical analysis and event-triggered neural backstepping control of two Duffing-type MEMS gyros with state constraints," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    12. Zhang, Shenghai & Luo, Shaohua & He, Shaobo & Ouakad, Hassen M., 2022. "Analog circuit implementation and adaptive neural backstepping control of a network of four Duffing-type MEMS resonators with mechanical and electrostatic coupling," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    13. Bambe Moutsinga, Claude Rodrigue & Pindza, Edson & Maré, Eben, 2021. "Comparative performance of time spectral methods for solving hyperchaotic finance and cryptocurrency systems," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    14. Yao, Qijia & Alsaade, Fawaz W. & Al-zahrani, Mohammed S. & Jahanshahi, Hadi, 2023. "Fixed-time neural control for output-constrained synchronization of second-order chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    15. Chen, Shu-Bo & Jahanshahi, Hadi & Alhadji Abba, Oumate & Solís-Pérez, J.E. & Bekiros, Stelios & Gómez-Aguilar, J.F. & Yousefpour, Amin & Chu, Yu-Ming, 2020. "The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    16. Li, Jun-Feng & Jahanshahi, Hadi & Kacar, Sezgin & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alotaibi, Naif D. & Alharbi, Khalid H., 2021. "On the variable-order fractional memristor oscillator: Data security applications and synchronization using a type-2 fuzzy disturbance observer-based robust control," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    17. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    18. Yao, Qijia, 2021. "Neural adaptive learning synchronization of second-order uncertain chaotic systems with prescribed performance guarantees," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    19. Xiong, Pei-Ying & Jahanshahi, Hadi & Alcaraz, Raúl & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alsaadi, Fawaz E., 2021. "Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

  43. Lahmiri, Salim & Bekiros, Stelios, 2020. "The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

    Cited by:

    1. Falik Shear & Badar Nadeem Ashraf & Mohsin Sadaqat, 2020. "Are Investors’ Attention and Uncertainty Aversion the Risk Factors for Stock Markets? International Evidence from the COVID-19 Crisis," Risks, MDPI, vol. 9(1), pages 1-15, December.
    2. Nuruddeen Usman & Kodili Nwanneka & Nduka, 2023. "Announcement Effect of COVID-19 on Cryptocurrencies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(3), pages 1-4.
    3. Belanes, Amel & Saâdaoui, Foued & Amirat, Amina & Rabbouch, Hana, 2024. "Safety assessment of cryptocurrencies as risky assets during the COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    4. Vidal-Tomás, David, 2021. "Transitions in the cryptocurrency market during the COVID-19 pandemic: A network analysis," Finance Research Letters, Elsevier, vol. 43(C).
    5. Ender Demir & Mehmet Huseyin Bilgin & Gokhan Karabulut & Asli Cansin Doker, 2020. "The relationship between cryptocurrencies and COVID-19 pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 349-360, September.
    6. Joan Sebastián Rojas Rincón, 2024. "Aproximación bibliométrica a la incertidumbre y el riesgo en los mercados de criptomonedas," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 101, pages 31-60.
    7. 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).
    8. Ben Khelifa, Soumaya & Guesmi, Khaled & Urom, Christian, 2021. "Exploring the relationship between cryptocurrencies and hedge funds during COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 76(C).
    9. Jacek Karasinski, 2022. "The Impact of the COVID-19 Outbreak on the Weak-Form Informational Efficiency of the Warsaw Stock Exchange (Wplyw wybuchu epidemii COVID-19 na efektywnosc informacyjna Gieldy Papierow Wartosciowych w ," Research Reports, University of Warsaw, Faculty of Management, vol. 2(37), pages 15-28.
    10. Wasiuzzaman, Shaista & Muhd Azwan, Ayu Nadhirah & Hj Nordin, Aina Nazurah, 2023. "Analysis of the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020," Emerging Markets Review, Elsevier, vol. 54(C).
    11. Nguyen, Bao Khac Quoc & Pham, Dung Thi Ngoc, 2025. "Investing during a Fintech revolution: The hedge and safe haven properties of Bitcoin and Ethereum," Research in International Business and Finance, Elsevier, vol. 73(PA).
    12. Salim Lahmiri, 2025. "Wavelet Entropy for Efficiency Assessment of Price, Return, and Volatility of Brent and WTI During Extreme Events," Commodities, MDPI, vol. 4(2), pages 1-10, March.
    13. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    14. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    15. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    16. Afees A. Salisu & Ahamuefula E. Ogbonna & Tirimisiyu F. Oloko & Idris A. Adediran, 2021. "A New Index for Measuring Uncertainty Due to the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    17. Yue, Yao & Li, Xuerong & Zhang, Dingxuan & Wang, Shouyang, 2021. "How cryptocurrency affects economy? A network analysis using bibliometric methods," International Review of Financial Analysis, Elsevier, vol. 77(C).
    18. Stanislav Vojíř & Jan Kučera, 2021. "Towards Re-Decentralized Future of the Web: Privacy, Security and Technology Development," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2021(3), pages 349-369.
    19. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Pricing efficiency and asymmetric multifractality of major asset classes before and during COVID-19 crisis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    20. Danai Likitratcharoen & Pan Chudasring & Chakrin Pinmanee & Karawan Wiwattanalamphong, 2023. "The Efficiency of Value-at-Risk Models during Extreme Market Stress in Cryptocurrencies," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    21. Dmitry V. Boguslavsky & Natalia P. Sharova & Konstantin S. Sharov, 2021. "Cryptocurrency as Epidemiologically Safe Means of Transactions: Diminishing Risk of SARS-CoV-2 Spread," Mathematics, MDPI, vol. 9(24), pages 1-19, December.
    22. Davide Provenzano & Rodolfo Baggio, 2021. "Complexity traits and synchrony of cryptocurrencies price dynamics," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 941-955, December.
    23. 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.
    24. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    25. Iqbal, Najaf & Fareed, Zeeshan & Wan, Guangcai & Shahzad, Farrukh, 2021. "Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 73(C).
    26. Danai Likitratcharoen & Nopadon Kronprasert & Karawan Wiwattanalamphong & Chakrin Pinmanee, 2021. "The Accuracy of Risk Measurement Models on Bitcoin Market during COVID-19 Pandemic," Risks, MDPI, vol. 9(12), pages 1-16, December.
    27. Nick James & Max Menzies & Jennifer Chan, 2019. "Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19," Papers 1912.06193, arXiv.org, revised Nov 2020.
    28. Wang, Hao & Wang, Xiaoqian & Yin, Siyuan & Ji, Hao, 2022. "The asymmetric contagion effect between stock market and cryptocurrency market," Finance Research Letters, Elsevier, vol. 46(PA).
    29. James, Nick, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    30. Wasiuzzaman, Shaista & Pg Hj Ahmad, Ak Md Saiful Luqman, 2025. "Perception towards government advisory, perceived risk and willingness to invest in cryptocurrency," Journal of Economics and Business, Elsevier, vol. 133(C).
    31. Kołodziejczyk, Hanna, 2023. "Stablecoins as diversifiers, hedges and safe havens: A quantile coherency approach," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    32. Nitithumbundit, Thanakorn & Chan, Jennifer S.K., 2022. "Covid-19 impact on Cryptocurrencies market using Multivariate Time Series Models," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 365-375.
    33. Kamal, Javed Bin & Hassan, M. Kabir, 2022. "Asymmetric connectedness between cryptocurrency environment attention index and green assets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    34. Belhoula, Mohamed Malek & Mensi, Walid & Al-Yahyaee, Khamis Hamed, 2024. "Dynamic speculation and efficiency in European natural gas markets during the COVID-19 and Russia-Ukraine crises," Resources Policy, Elsevier, vol. 98(C).
    35. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    36. James, Nick & Menzies, Max, 2023. "Collective infectivity of the pandemic over time and association with vaccine coverage and economic development," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    37. Ali, Shoaib & Al-Nassar, Nassar S. & Naveed, Muhammad, 2024. "Bridging the gap: Uncovering static and dynamic relationships between digital assets and BRICS equity markets," Global Finance Journal, Elsevier, vol. 60(C).
    38. Pradipta Kumar Sahoo, 2021. "COVID-19 pandemic and cryptocurrency markets: an empirical analysis from a linear and nonlinear causal relationship," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(2), pages 454-468, March.
    39. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Gil-Alana, Luis Alberiko, 2022. "The outbreak of COVID-19 and stock market liquidity: Evidence from emerging and developed equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    40. Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    41. Duan, Kun & Zhang, Liya & Urquhart, Andrew & Yao, Kai & Peng, Long, 2024. "Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency," Research in International Business and Finance, Elsevier, vol. 70(PB).
    42. Nguyen Hong Yen & Le Thanh Ha, 2023. "Interlinkages of cryptocurrency and stock markets during the COVID-19 pandemic by applying a QVAR model," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 33(1), pages 74-95, March.
    43. Zhang, Pengcheng & Xu, Kunpeng & Qi, Jiayin, 2023. "The impact of regulation on cryptocurrency market volatility in the context of the COVID-19 pandemic — evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 222-246.
    44. amri amamou, souhir, 2021. "Cryptocurrencies responses to the Covid-19 waves," MPRA Paper 110843, University Library of Munich, Germany.
    45. Wasiuzzaman, Shaista & Haji Abdul Rahman, Hajah Siti Wardah, 2021. "Performance of gold-backed cryptocurrencies during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 43(C).
    46. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    47. Le Thanh Ha, 2022. "Interlinkages of cryptocurrency and stock markets during COVID-19 pandemic by applying a TVP-VAR extended joint connected approach," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(3), pages 407-428, March.
    48. Lee, Yen-Sheng & Vo, Ace & Chapman, Thomas A., 2022. "Examining the Maturity of Bitcoin Price through a Catastrophic Event: The Case of Structural Break Analysis During the COVID-19 Pandemic," Finance Research Letters, Elsevier, vol. 49(C).
    49. Salisu, Afees & Ogbonna, Ahamuefula & Oloko, Tirimisiyu, 2020. "Pandemics and cryptocurrencies," MPRA Paper 109597, University Library of Munich, Germany.
    50. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
    51. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    52. Lamia Kalai, 2022. "Time Varying Dependence in the Cryptocurrency Market and COVID 19 Panic Index: An Empirical Investigation," International Journal of Economics and Financial Issues, Econjournals, vol. 12(2), pages 37-51, March.
    53. Kumari, Pooja & Mamidala, Vasanthi & Chavali, Kavita & Behl, Abhishek, 2024. "The changing dynamics of crypto mining and environmental impact," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 940-953.
    54. Behnood, Ali & Mohammadi Golafshani, Emadaldin & Hosseini, Seyedeh Mohaddeseh, 2020. "Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA)," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    55. An Pham Ngoc Nguyen & Martin Crane & Thomas Conlon & Marija Bezbradica, 2024. "Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs," Papers 2407.08069, arXiv.org, revised Dec 2024.
    56. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).
    57. Ihsan Erdem Kayral & Ahmed Jeribi & Sahar Loukil, 2023. "Are Bitcoin and Gold a Safe Haven during COVID-19 and the 2022 Russia–Ukraine War?," JRFM, MDPI, vol. 16(4), pages 1-22, April.
    58. Gia Zoidze & George Abuselidze, 2021. "Covid-19 Pandemic And Currency Risk Analysis In Georgia," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 9(2), pages 33-46.
    59. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2022. "Evidence of the fractal market hypothesis in European industry sectors with the use of bootstrapped wavelet leaders singularity spectrum analysis," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    60. Assaf, Ata & Mokni, Khaled & Youssef, Manel, 2023. "COVID-19 and information flow between cryptocurrencies, and conventional financial assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 73-81.
    61. Raza, Syed Ali & Shah, Nida & Guesmi, Khaled & Msolli, Badreddine, 2022. "How does COVID-19 influence dynamic spillover connectedness between cryptocurrencies? Evidence from non-parametric causality-in-quantiles techniques," Finance Research Letters, Elsevier, vol. 47(PA).
    62. Jaros{l}aw Kwapie'n & Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z, 2021. "Cryptocurrency Market Consolidation in 2020--2021," Papers 2112.06552, arXiv.org.
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    64. Shehzad, Khurram & Bilgili, Faik & Zaman, Umer & Kocak, Emrah & Kuskaya, Sevda, 2021. "Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach," Resources Policy, Elsevier, vol. 73(C).
    65. Nick James, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Papers 2101.00576, arXiv.org, revised Feb 2021.
    66. David E. Allen, 2022. "Cryptocurrencies, Diversification and the COVID-19 Pandemic," JRFM, MDPI, vol. 15(3), pages 1-25, February.
    67. Alves, P.R.L., 2022. "Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 480-499.
    68. Nick James & Max Menzies, 2021. "Efficiency of communities and financial markets during the 2020 pandemic," Papers 2104.02318, arXiv.org, revised Jul 2021.
    69. Nick James & Max Menzies, 2021. "Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time," Papers 2107.13926, arXiv.org, revised Dec 2021.
    70. Barbu Teodora Cristina & Boitan Iustina Alina & Cepoi Cosmin-Octavian, 2022. "Are cryptocurrencies safe havens during the COVID-19 pandemic? A threshold regression perspective with pandemic-related benchmarks," Economics and Business Review, Sciendo, vol. 8(2), pages 29-49, July.
    71. Ngo Thai Hung, 2022. "The COVID-19 effects on cryptocurrency markets: robust evidence from time-frequency analysis," Economics Bulletin, AccessEcon, vol. 42(1), pages 109-123.
    72. Mustafa Özer & Serap Kamisli & Fatih Temizel & Melik Kamisli, 2022. "Are COVID-19-Related Economic Supports One of the Drivers of Surge in Bitcoin Market? Evidence from Linear and Non-Linear Causality Tests," Mathematics, MDPI, vol. 11(1), pages 1-24, December.
    73. Espinosa-Paredes, G. & Rodriguez, E. & Alvarez-Ramirez, J., 2022. "A singular value decomposition entropy approach to assess the impact of Covid-19 on the informational efficiency of the WTI crude oil market," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).

  44. Stelios Bekiros & Syed Jawad Hussain Shahzad & Rania Jammazi & Chaker Aloui, 2020. "Spillovers across European sovereign credit markets and role of surprise and uncertainty," Applied Economics, Taylor & Francis Journals, vol. 52(8), pages 851-865, February.

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    1. Huang, Wei-Qiang & Liu, Peipei & Zhu, Yao-Long, 2025. "International extreme sovereign risk connectedness: Network structure and roles," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    2. C. Ciocirlan & M. Nițoi, 2023. "Sovereign risk connectedness: the impact of ECB’s policy announcements in Central and Eastern Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(4), pages 1025-1054, November.
    3. Liu, Peipei & Huang, Wei-Qiang, 2022. "Modelling international sovereign risk information spillovers: A multilayer network approach," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Wu, Shan & Liu, Yilong & Song, Ziyu & Zhou, Yuqin & Guo, Wenjing, 2024. "Network structure, dynamic evolution and block characteristics of sovereign debt risk: The global evidence," Research in International Business and Finance, Elsevier, vol. 72(PA).
    5. Zhizhen Chen & Guifen Shi & Boyang Sun, 2024. "Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models," Empirical Economics, Springer, vol. 67(6), pages 2463-2502, December.
    6. Yu, Peining & Zhou, Luohui & Chen, Zejun & Li, Chujin, 2025. "Risk spillover changes among commodity futures, stock and ESG markets: A study based on multidimensional higher order moment perspective," Finance Research Letters, Elsevier, vol. 71(C).
    7. Bo Gao, 2022. "The Use of Machine Learning Combined with Data Mining Technology in Financial Risk Prevention," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1385-1405, April.
    8. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    9. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

  45. Yousefpour, Amin & Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Wei, Zhouchao, 2020. "A fractional-order hyper-chaotic economic system with transient chaos," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).

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    1. Kamal, F.M. & Elsonbaty, A. & Elsaid, A., 2021. "A novel fractional nonautonomous chaotic circuit model and its application to image encryption," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    2. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    3. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    4. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    5. Jahanshahi, Hadi & Orozco-López, Onofre & Munoz-Pacheco, Jesus M. & Alotaibi, Naif D. & Volos, Christos & Wang, Zhen & Sevilla-Escoboza, R. & Chu, Yu-Ming, 2021. "Simulation and experimental validation of a non-equilibrium chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    6. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    7. Hajid Alsubaie & Ahmed Alotaibi, 2023. "A Model-Free Control Scheme for Rehabilitation Robots: Integrating Real-Time Observations with a Deep Neural Network for Enhanced Control and Reliability," Mathematics, MDPI, vol. 11(23), pages 1-14, November.
    8. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    9. Cang, Shijian & Wang, Luo & Zhang, Yapeng & Wang, Zenghui & Chen, Zengqiang, 2022. "Bifurcation and chaos in a smooth 3D dynamical system extended from Nosé-Hoover oscillator," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    10. Ávalos-Ruíz, L.F. & Zúñiga-Aguilar, C.J. & Gómez-Aguilar, J.F. & Cortes-Campos, H.M. & Lavín-Delgado, J.E., 2023. "A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    11. Li, Yue & Yuan, Mingfeng & Chen, Zengqiang, 2023. "Constructing 3D conservative chaotic system with dissipative term based on Shilnikov theorem," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    12. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    13. Mobayen, Saleh & Alattas, Khalid A. & Fekih, Afef & El-Sousy, Fayez F.M. & Bakouri, Mohsen, 2022. "Barrier function-based adaptive nonsingular sliding mode control of disturbed nonlinear systems: A linear matrix inequality approach," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    14. Xu, Zhao & Sun, Kehui & Wang, Huihai, 2024. "Dynamics and function projection synchronization for the fractional-order financial risk system," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
    15. Zhang, Mengjiao & Zang, Hongyan & Liu, Zhongxin, 2025. "Fractional-order adaptive sliding mode control based on predefined-time stability for chaos synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    16. Al-Barakati, Abdullah A. & Mesdoui, Fatiha & Bekiros, Stelios & Kaçar, Sezgin & Jahanshahi, Hadi, 2024. "A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    17. Wang Yun & Chen Qian & Liang Bo & Hu Chen-yang, 2024. "A tri-valued memristive chaotic system with hidden attractors and its image encryption application," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(3), pages 1-22, March.
    18. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    19. Shoji, Isao & Nozawa, Masahiro, 2022. "Geometric analysis of nonlinear dynamics in application to financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    20. Wang, Shaojie & He, Shaobo & Yousefpour, Amin & Jahanshahi, Hadi & Repnik, Robert & Perc, Matjaž, 2020. "Chaos and complexity in a fractional-order financial system with time delays," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    21. Jahanshahi, Hadi & Yousefpour, Amin & Munoz-Pacheco, Jesus M. & Kacar, Sezgin & Pham, Viet-Thanh & Alsaadi, Fawaz E., 2020. "A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption," Applied Mathematics and Computation, Elsevier, vol. 383(C).
    22. Huang, Pengfei & Chai, Yi & Chen, Xiaolong, 2022. "Multiple dynamics analysis of Lorenz-family systems and the application in signal detection," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    23. Johansyah, Muhamad Deni & Sambas, Aceng & Zheng, Song & Benkouider, Khaled & Vaidyanathan, Sundarapandian & Mohamed, Mohamad Afendee & Mamat, Mustafa, 2023. "A novel financial system with one stable and two unstable equilibrium points: Dynamics, coexisting attractors, complexity analysis and synchronization using integral sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    24. Chen, Shu-Bo & Jahanshahi, Hadi & Alhadji Abba, Oumate & Solís-Pérez, J.E. & Bekiros, Stelios & Gómez-Aguilar, J.F. & Yousefpour, Amin & Chu, Yu-Ming, 2020. "The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    25. Leng, Xiangxin & Gu, Shuangquan & Peng, Qiqi & Du, Baoxiang, 2021. "Study on a four-dimensional fractional-order system with dissipative and conservative properties," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    26. Zhang, Mengjiao & Zang, Hongyan & Bai, Luyuan, 2022. "A new predefined-time sliding mode control scheme for synchronizing chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    27. Abdi, N. & Aminikhah, H. & Sheikhani, A.H. Refahi, 2022. "High-order compact finite difference schemes for the time-fractional Black-Scholes model governing European options," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    28. Wang, Shaojie & Bekiros, Stelios & Yousefpour, Amin & He, Shaobo & Castillo, Oscar & Jahanshahi, Hadi, 2020. "Synchronization of fractional time-delayed financial system using a novel type-2 fuzzy active control method," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    29. Li, Jun-Feng & Jahanshahi, Hadi & Kacar, Sezgin & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alotaibi, Naif D. & Alharbi, Khalid H., 2021. "On the variable-order fractional memristor oscillator: Data security applications and synchronization using a type-2 fuzzy disturbance observer-based robust control," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    30. Li, Qinnan & Li, Ruihong & Huang, Dongmei, 2023. "Dynamic analysis of a new 4D fractional-order financial system and its finite-time fractional integral sliding mode control based on RBF neural network," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    31. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    32. Bekiros, Stelios & Jahanshahi, Hadi & Bezzina, Frank & Aly, Ayman A., 2021. "A novel fuzzy mixed H2/H∞ optimal controller for hyperchaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    33. Soradi-Zeid, Samaneh & Jahanshahi, Hadi & Yousefpour, Amin & Bekiros, Stelios, 2020. "King algorithm: A novel optimization approach based on variable-order fractional calculus with application in chaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    34. Xiong, Pei-Ying & Jahanshahi, Hadi & Alcaraz, Raúl & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alsaadi, Fawaz E., 2021. "Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

  46. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

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    1. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    3. Michał Szostak, 2021. "Does entrepreneurial factor influence creative identities' perception?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 150-175, September.
    4. Abdullah, Mohammad & Chowdhury, Mohammad Ashraful Ferdous & Sulong, Zunaidah, 2023. "Asymmetric efficiency and connectedness among green stocks, halal tourism stocks, cryptocurrencies, and commodities: Portfolio hedging implications," Resources Policy, Elsevier, vol. 81(C).
    5. Michal Szostak, 2020. "Does Creativity Influence the Perception of Creative Identities?," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 312-333.
    6. Michał Szostak, 2022. "Perception of creative identities by managers and non-managers. Does a manager see more?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(3), pages 24-49, March.
    7. Andr'es Garc'ia-Medina & Toan Luu Duc Huynh3, 2021. "What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models," Papers 2109.01214, arXiv.org.
    8. Aggarwal, Divya & Chandrasekaran, Shabana & Annamalai, Balamurugan, 2020. "A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).

  47. Stelios Bekiros & Amanda Dahlström & Gazi Salah Uddin & Oskar Ege & Ranadeva Jayasekera, 2020. "A tale of two shocks: The dynamics of international real estate markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 3-27, January.

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    1. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2024. "Macro‐financial linkages in the high‐frequency domain: Economic fundamentals and the Covid‐induced uncertainty channel in US and UK financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1581-1608, April.
    2. Huang, MeiChi, 2024. "A greater crisis? Investigating MSA-level housing markets during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 71(C).
    3. Sercan Demiralay & Erhan Kilincarslan, 2024. "Uncertainty Measures and Sector-Specific REITs in a Regime-Switching Environment," The Journal of Real Estate Finance and Economics, Springer, vol. 69(3), pages 545-584, October.

  48. Lahmiri, Salim & Bekiros, Stelios, 2020. "Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).

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    1. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Alvarez-Ramirez, Jose & Espinosa-Paredes, Gilberto & Vernon-Carter, E. Jaime, 2025. "Causal wavelet analysis of the Bitcoin price dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    3. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    4. Wang, Feng & Ye, Xin & Chen, HongTao & Wu, Congxin, 2021. "A portfolio strategy of stock market based on mean-MF-X-DMA model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    5. Cao, Guangxi & Ling, Meijun, 2022. "Asymmetry and conduction direction of the interdependent structure between cryptocurrency and US dollar, renminbi, and gold markets," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    6. Zhang, Rui & Jia, Cairang & Wang, Jian, 2022. "Text emotion classification system based on multifractal methods," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    7. Zitis, Pavlos I. & Contoyiannis, Yiannis & Potirakis, Stelios M., 2022. "Critical dynamics related to a recent Bitcoin crash," International Review of Financial Analysis, Elsevier, vol. 84(C).
    8. Yuan, Ying & Zhang, Tonghui, 2020. "Forecasting stock market in high and low volatility periods: a modified multifractal volatility approach," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    9. Mirza, Fuat Kaan & Baykaş, Tunçer & Hekimoğlu, Mustafa & Pekcan, Önder & Tunçay, Gönül Paçacı, 2024. "Decoding compositional complexity: Identifying composers using a model fusion-based approach with nonlinear signal processing and chaotic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).

  49. Yousefpour, Amin & Jahanshahi, Hadi & Bekiros, Stelios, 2020. "Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).

    Cited by:

    1. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    2. Yuan, Yiran & Li, Ning, 2022. "Optimal control and cost-effectiveness analysis for a COVID-19 model with individual protection awareness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    3. Nenchev, Vladislav, 2020. "Optimal quarantine control of an infectious outbreak," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    4. Asamoah, Joshua Kiddy K. & Owusu, Mark A. & Jin, Zhen & Oduro, F. T. & Abidemi, Afeez & Gyasi, Esther Opoku, 2020. "Global stability and cost-effectiveness analysis of COVID-19 considering the impact of the environment: using data from Ghana," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    5. Charu Arora & Poras Khetarpal & Saket Gupta & Nuzhat Fatema & Hasmat Malik & Asyraf Afthanorhan, 2023. "Mathematical Modelling to Predict the Effect of Vaccination on Delay and Rise of COVID-19 Cases Management," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    6. Kumar Das, Dhiraj & Khatua, Anupam & Kar, T.K. & Jana, Soovoojeet, 2021. "The effectiveness of contact tracing in mitigating COVID-19 outbreak: A model-based analysis in the context of India," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    7. Xin Jing & Jin Seo Cho, 2023. "Forecasting the Confirmed COVID-19 Cases Using Modal Regression," Working papers 2023rwp-217, Yonsei University, Yonsei Economics Research Institute.
    8. Arielle Kaim & Tuvia Gering & Amiram Moshaiov & Bruria Adini, 2021. "Deciphering the COVID-19 Health Economic Dilemma (HED): A Scoping Review," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
    9. Okuonghae, D. & Omame, A., 2020. "Analysis of a mathematical model for COVID-19 population dynamics in Lagos, Nigeria," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    10. Memon, Zaibunnisa & Qureshi, Sania & Memon, Bisharat Rasool, 2021. "Assessing the role of quarantine and isolation as control strategies for COVID-19 outbreak: A case study," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    11. Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Alotaibi, Naif D., 2021. "A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    12. Njud S. Alharbi & Hadi Jahanshahi & Qijia Yao & Stelios Bekiros & Irene Moroz, 2023. "Enhanced Classification of Heartbeat Electrocardiogram Signals Using a Long Short-Term Memory–Convolutional Neural Network Ensemble: Paving the Way for Preventive Healthcare," Mathematics, MDPI, vol. 11(18), pages 1-17, September.
    13. Jelena Musulin & Sandi Baressi Šegota & Daniel Štifanić & Ivan Lorencin & Nikola Anđelić & Tijana Šušteršič & Anđela Blagojević & Nenad Filipović & Tomislav Ćabov & Elitza Markova-Car, 2021. "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review," IJERPH, MDPI, vol. 18(8), pages 1-39, April.
    14. Çaparoğlu, Ömer Faruk & Ok, Yeşim & Tutam, Mahmut, 2021. "To restrict or not to restrict? Use of artificial neural network to evaluate the effectiveness of mitigation policies: A case study of Turkey," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    15. Zhang, Jingwen & Wang, Xinwei & Rong, Lili & Pan, Qiuwei & Bao, Chunbing & Zheng, Qinyue, 2024. "Planning for the optimal vaccination sequence in the context of a population-stratified model," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    16. Tu, Yunbo & Meng, Xinzhu & Alzahrani, Abdullah Khames & Zhang, Tonghua, 2023. "Multi-objective optimization and nonlinear dynamics for sub-healthy COVID-19 epidemic model subject to self-diffusion and cross-diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    17. Tayarani N., Mohammad-H., 2021. "Applications of artificial intelligence in battling against covid-19: A literature review," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    18. Arshad, Sadia & Siddique, Imran & Nawaz, Fariha & Shaheen, Aqila & Khurshid, Hina, 2023. "Dynamics of a fractional order mathematical model for COVID-19 epidemic transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    19. de Souza, Silvio L.T. & Batista, Antonio M. & Caldas, Iberê L. & Iarosz, Kelly C. & Szezech Jr, José D., 2021. "Dynamics of epidemics: Impact of easing restrictions and control of infection spread," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).

  50. Chen, Shu-Bo & Jahanshahi, Hadi & Alhadji Abba, Oumate & Solís-Pérez, J.E. & Bekiros, Stelios & Gómez-Aguilar, J.F. & Yousefpour, Amin & Chu, Yu-Ming, 2020. "The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).

    Cited by:

    1. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    2. Bekiros, Stelios & Laarem, Guessas & Mou, Jun & Al-Barakati, Abdullah A. & Jahanshahi, Hadi, 2023. "Heterogeneous agent-based modeling of endogenous boom-bust cycles in financial markets with adaptive expectations and dynamically switching fractions between contrarian and fundamental market entry st," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    3. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
    4. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    5. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    6. H. Mesgarani & Y. Esmaeelzade Aghdam & A. Beiranvand & J. F. Gómez-Aguilar, 2024. "A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1609-1626, April.
    7. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    8. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    9. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    10. Ávalos-Ruíz, L.F. & Zúñiga-Aguilar, C.J. & Gómez-Aguilar, J.F. & Cortes-Campos, H.M. & Lavín-Delgado, J.E., 2023. "A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    11. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    12. Xu, Zhao & Sun, Kehui & Wang, Huihai, 2024. "Dynamics and function projection synchronization for the fractional-order financial risk system," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
    13. Al-Barakati, Abdullah A. & Mesdoui, Fatiha & Bekiros, Stelios & Kaçar, Sezgin & Jahanshahi, Hadi, 2024. "A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    14. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    15. Shoji, Isao & Nozawa, Masahiro, 2022. "Geometric analysis of nonlinear dynamics in application to financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    16. Li, Jun-Feng & Jahanshahi, Hadi & Kacar, Sezgin & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alotaibi, Naif D. & Alharbi, Khalid H., 2021. "On the variable-order fractional memristor oscillator: Data security applications and synchronization using a type-2 fuzzy disturbance observer-based robust control," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    17. Li, Qinnan & Li, Ruihong & Huang, Dongmei, 2023. "Dynamic analysis of a new 4D fractional-order financial system and its finite-time fractional integral sliding mode control based on RBF neural network," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    18. Bekiros, Stelios & Jahanshahi, Hadi & Bezzina, Frank & Aly, Ayman A., 2021. "A novel fuzzy mixed H2/H∞ optimal controller for hyperchaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    19. Alsaadi, Fawaz E. & Bekiros, Stelios & Yao, Qijia & Liu, Jinping & Jahanshahi, Hadi, 2023. "Achieving resilient chaos suppression and synchronization of fractional-order supply chains with fault-tolerant control," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    20. Xiong, Pei-Ying & Jahanshahi, Hadi & Alcaraz, Raúl & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alsaadi, Fawaz E., 2021. "Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

  51. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).

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    1. Qian, Jiaxin & Wu, Jiahui & Yao, Lei & Mahmut, Saniye & Zhang, Qiang, 2021. "Comprehensive performance evaluation of Wind-Solar-CCHP system based on emergy analysis and multi-objective decision method," Energy, Elsevier, vol. 230(C).
    2. Wendi Zhang & Bin Li & Alan Wee-Chung Liew & Eduardo Roca & Tarlok Singh, 2023. "Predicting the returns of the US real estate investment trust market: evidence from the group method of data handling neural network," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-33, December.
    3. Liu, Fa & Wang, Xunming & Sun, Fubao & Wang, Hong, 2022. "Correct and remap solar radiation and photovoltaic power in China based on machine learning models," Applied Energy, Elsevier, vol. 312(C).
    4. Shan, Baochao & Wang, Runxi & Guo, Zhaoli & Wang, Peng, 2021. "Contribution quantification of nanoscale gas transport in shale based on strongly inhomogeneous kinetic model," Energy, Elsevier, vol. 228(C).
    5. Cui, Zhiquan & Yan, Zhiqi & Zhao, Minghang & Zhong, Shisheng, 2022. "Gas path parameter prediction of aero-engine based on an autoregressive discrete convolution sum process neural network," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    6. Kotowicz, J. & Brzęczek, M., 2021. "Methods to increase the efficiency of production and purification installations of renewable methanol," Renewable Energy, Elsevier, vol. 177(C), pages 568-583.
    7. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    8. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    9. Ban, Jung-Chao & Chang, Chih-Hung & Hong, Jyy-I & Wu, Yu-Liang, 2021. "Mathematical Analysis of Spread Models: From the viewpoints of Deterministic and random cases," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    10. Zhang, Yongchao & Wan, Yizhao & Liu, Lele & Wang, Daigang & Li, Chengfeng & Liu, Changling & Wu, Nengyou, 2021. "Changes in reaction surface during the methane hydrate dissociation and its implications for hydrate production," Energy, Elsevier, vol. 230(C).
    11. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2021. "Stochastic optimal planning scheme of a zero-carbon multi-energy system (ZC-MES) considering the uncertainties of individual energy demand and renewable resources: An integrated chance-constrained and," Energy, Elsevier, vol. 232(C).
    12. Rajpal, Sheetal & Lakhyani, Navin & Singh, Ayush Kumar & Kohli, Rishav & Kumar, Naveen, 2021. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    13. Manuel Jaramillo & Wilson Pavón & Lisbeth Jaramillo, 2024. "Adaptive Forecasting in Energy Consumption: A Bibliometric Analysis and Review," Data, MDPI, vol. 9(1), pages 1-23, January.
    14. Tian, Di & Qu, Zhiguo & Zhang, Jianfei, 2023. "Electrochemical condition optimization and techno-economic analysis on the direct CO2 electroreduction of flue gas," Applied Energy, Elsevier, vol. 351(C).
    15. Alnaser, Sahban W. & Althaher, Sereen Z. & Long, Chao & Zhou, Yue & Wu, Jianzhong & Hamdan, Reem, 2021. "Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks," Applied Energy, Elsevier, vol. 304(C).
    16. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    17. Jia, Wenlong & Yang, Fan & Li, Changjun & Huang, Ting & Song, Shuoshuo, 2021. "A unified thermodynamic framework to compute the hydrate formation conditions of acidic gas/water/alcohol/electrolyte mixtures up to 186.2 MPa," Energy, Elsevier, vol. 230(C).
    18. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
    19. Liu, Xue & Ding, Yong & Tang, Hao & Fan, Lingxiao & Lv, Jie, 2022. "Investigating the effects of key drivers on energy consumption of nonresidential buildings: A data-driven approach integrating regularization and quantile regression," Energy, Elsevier, vol. 244(PA).
    20. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    21. Shanbi Peng & Zhe Zhang & Yongqiang Ji & Laimin Shi, 2022. "Optimization of Oil Pipeline Operations to Reduce Energy Consumption Using an Improved Squirrel Search Algorithm," Energies, MDPI, vol. 15(20), pages 1-19, October.
    22. He, Huizi & Sun, Mei & Li, Xiuming & Mensah, Isaac Adjei, 2022. "A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features," Energy, Elsevier, vol. 244(PA).
    23. Hu, Rongchun & Zhang, Dongxu & Gu, Xudong, 2022. "Reliability analysis of a class of stochastically excited nonlinear Markovian jump systems," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    24. Li, Zhengmao & Wu, Lei & Xu, Yan & Wang, Luhao & Yang, Nan, 2023. "Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids," Applied Energy, Elsevier, vol. 331(C).
    25. Eleyan, Mohammed I.Abu & Çatık, Abdurrahman Nazif & Balcılar, Mehmet & Ballı, Esra, 2021. "Are long-run income and price elasticities of oil demand time-varying? New evidence from BRICS countries," Energy, Elsevier, vol. 229(C).
    26. Radpour, Saeidreza & Gemechu, Eskinder & Ahiduzzaman, Md & Kumar, Amit, 2021. "Development of a framework for the assessment of the market penetration of novel in situ bitumen extraction technologies," Energy, Elsevier, vol. 220(C).
    27. Zetterholm, Jonas & Mossberg, Johanna & Jafri, Yawer & Wetterlund, Elisabeth, 2022. "We need stable, long-term policy support! — Evaluating the economic rationale behind the prevalent investor lament for forest-based biofuel production," Applied Energy, Elsevier, vol. 318(C).
    28. Mehrpooya, Mehdi & Ansarinasab, Hojat & Mousavi, Seyed Ali, 2021. "Life cycle assessment and exergoeconomic analysis of the multi-generation system based on fuel cell for methanol, power, and heat production," Renewable Energy, Elsevier, vol. 172(C), pages 1314-1332.
    29. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    30. Wang, Qiubao & Han, Zikun & Zhang, Xing & Yang, Yuejuan, 2021. "Dynamics of the delay-coupled bubble system combined with the stochastic term," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    31. Marquina, Jesús & Colinet, María José & Pablo-Romero, María del P., 2021. "The economic value of olive sector biomass for thermal and electrical uses in Andalusia (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    32. Xiaojie Xu & Yun Zhang, 2023. "Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(4), pages 563-582, December.
    33. Bingzi Jin & Xiaojie Xu, 2025. "Predictions of residential property price indices for China via machine learning models," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1481-1513, April.
    34. Feng, Ping & Li, Xiaoyang & Wang, Jinyu & Li, Jie & Wang, Huan & He, Lu, 2021. "The mixtures of bio-oil derived from different biomass and coal/char as biofuels: Combustion characteristics," Energy, Elsevier, vol. 224(C).
    35. Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    36. Yu, Chuanjin & Li, Yongle & Chen, Qian & Lai, Xiaopan & Zhao, Liyang, 2022. "Matrix-based wavelet transformation embedded in recurrent neural networks for wind speed prediction," Applied Energy, Elsevier, vol. 324(C).
    37. Patrón, Gabriel D. & Ricardez-Sandoval, Luis, 2022. "An integrated real-time optimization, control, and estimation scheme for post-combustion CO2 capture," Applied Energy, Elsevier, vol. 308(C).
    38. Qiu, Dawei & Wang, Yi & Zhang, Tingqi & Sun, Mingyang & Strbac, Goran, 2023. "Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience," Applied Energy, Elsevier, vol. 336(C).
    39. Abboubakar, Hamadjam & Kouchéré Guidzavaï, Albert & Yangla, Joseph & Damakoa, Irépran & Mouangue, Ruben, 2021. "Mathematical modeling and projections of a vector-borne disease with optimal control strategies: A case study of the Chikungunya in Chad," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    40. Zheng, Cunchuan & Liu, Fuchuan & Zhang, Tailiang & Huang, Zhiyu, 2021. "Preparation of fluoropolymer nanoparticles(FPNPs) dispersion and its application as a wetting adjustment agent for sandstone rocks," Energy, Elsevier, vol. 237(C).
    41. Nikzad-Khasmakhi, N. & Balafar, M.A. & Reza Feizi-Derakhshi, M. & Motamed, Cina, 2021. "BERTERS: Multimodal representation learning for expert recommendation system with transformers and graph embeddings," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    42. Tang, Aihua & Huang, Yukun & Liu, Shangmei & Yu, Quanqing & Shen, Weixiang & Xiong, Rui, 2023. "A novel lithium-ion battery state of charge estimation method based on the fusion of neural network and equivalent circuit models," Applied Energy, Elsevier, vol. 348(C).
    43. Xu, Yuxin & Gao, Fei, 2024. "A novel higher-order Deffuant–Weisbuch networks model incorporating the Susceptible Infected Recovered framework," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    44. Korus, Agnieszka & Klimanek, Adam & Sładek, Sławomir & Szlęk, Andrzej & Tilland, Airy & Bertholin, Stéphane & Haugen, Nils Erland L., 2021. "Kinetic parameters of petroleum coke gasification for modelling chemical-looping combustion systems," Energy, Elsevier, vol. 232(C).
    45. Guo, Shu-Ling & Yang, Yong-Ge & Sun, Ya-Hui, 2021. "Stochastic response of an energy harvesting system with viscoelastic element under Gaussian white noise excitation," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    46. Xiaojie Xu & Yun Zhang, 2022. "Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network," Economics Bulletin, AccessEcon, vol. 42(3), pages 1266-1279.
    47. Han, Jiashi & Hou, Xiaochao & Zhang, Lei, 2022. "Policy implications of China's rural household coal governance from the perspective of the spillover effect," Energy, Elsevier, vol. 242(C).
    48. Wuyue An & Lin Wang & Dongfeng Zhang, 2023. "Comprehensive commodity price forecasting framework using text mining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1888, November.
    49. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Peer-to-Peer trading with Demand Response using proposed smart bidding strategy," Applied Energy, Elsevier, vol. 327(C).
    50. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2022. "Techno-economic assessment of battery storage integrated into a grid-connected and solar-powered residential building under different battery ageing models," Applied Energy, Elsevier, vol. 318(C).
    51. Xiong, Pingping & Li, Kailing & Shu, Hui & Wang, Junjie, 2021. "Forecast of natural gas consumption in the Asia-Pacific region using a fractional-order incomplete gamma grey model," Energy, Elsevier, vol. 237(C).
    52. Yılmaz, Semih & Kumlutaş, Dilek & Yücekaya, Utku Alp & Cumbul, Ahmet Yakup, 2021. "Prediction of the equilibrium compositions in the combustion products of a domestic boiler," Energy, Elsevier, vol. 233(C).
    53. Kalantari, Mahdi, 2021. "Forecasting COVID-19 pandemic using optimal singular spectrum analysis," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    54. Wei Wang & Bin Ma & Xing Guo & Yong Chen & Yonghong Xu, 2024. "A Hybrid ARIMA-LSTM Model for Short-Term Vehicle Speed Prediction," Energies, MDPI, vol. 17(15), pages 1-18, July.
    55. Cao, K.H. & Qi, H.S. & Tsai, C.H. & Woo, C.K. & Zarnikau, J., 2021. "Energy trading efficiency in the US Midcontinent electricity markets," Applied Energy, Elsevier, vol. 302(C).
    56. Xiaojie Xu & Yun Zhang, 2023. "Coking coal futures price index forecasting with the neural network," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 349-359, June.
    57. A. Usha Ruby & J. George Chellin Chandran & B. N. Chaithanya & T. J. Swasthika Jain & Renuka Patil, 2024. "Effective Crude Oil Prediction Using CHS-EMD Decomposition and PS-RNN Model," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1295-1314, August.
    58. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2021. "A novel multi-objective stochastic risk co-optimization model of a zero-carbon multi-energy system (ZCMES) incorporating energy storage aging model and integrated demand response," Energy, Elsevier, vol. 226(C).
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  52. Salim Lahmiri & Stelios Bekiros & Anastasia Giakoumelou & Frank Bezzina, 2020. "Performance assessment of ensemble learning systems in financial data classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 3-9, January.

    Cited by:

    1. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," MetaArXiv haf2v, Center for Open Science.
    2. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," SocArXiv 9vdwf, Center for Open Science.
    3. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," Thesis Commons auyvc, Center for Open Science.
    4. João B. G. Brito & Guilherme B. Bucco & Rodrigo Heldt & João L. Becker & Cleo S. Silveira & Fernando B. Luce & Michel J. Anzanello, 2024. "A framework to improve churn prediction performance in retail banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    5. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," OSF Preprints yc6e2, Center for Open Science.
    6. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," EdArXiv 5dwrt, Center for Open Science.
    7. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," LawRxiv kczj5, Center for Open Science.
    8. Saeed Nosratabadi & Amirhosein Mosavi & Puhong Duan & Pedram Ghamisi & Ferdinand Filip & Shahab S. Band & Uwe Reuter & Joao Gama & Amir H. Gandomi, 2020. "Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods," Mathematics, MDPI, vol. 8(10), pages 1-25, October.

  53. Stelios Bekiros & Christos Avdoulas, 2020. "Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis," Forecasting, MDPI, vol. 2(2), pages 1-28, May.

    Cited by:

    1. Oleksandr Castello & Marina Resta, 2022. "Modeling the Yield Curve of BRICS Countries: Parametric vs. Machine Learning Techniques," Risks, MDPI, vol. 10(2), pages 1-18, February.
    2. Alessia Paccagnini, 2021. "Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets”," Forecasting, MDPI, vol. 3(3), pages 1-3, July.
    3. Yizheng Fu & Zhifang Su & Aihua Lin, 2024. "Functional Cointegration Test for Expectation Hypothesis of the Term Structure of Interest Rates in China," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(4), pages 799-820, December.

  54. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2020. "Expectation-driven house prices and debt defaults: The effectiveness of monetary and macroprudential policies," Journal of Financial Stability, Elsevier, vol. 49(C).

    Cited by:

    1. Gioia M. Mariani & Eleonora Porreca & Concetta Rondinelli, 2025. "How do households adjust house price expectations in an era of high inflation? Experimental evidence," Questioni di Economia e Finanza (Occasional Papers) 940, Bank of Italy, Economic Research and International Relations Area.
    2. Wan, Junmin, 2024. "Transmission of housing bubbles among industrial sectors," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 692-701.
    3. Mengkai Chen & Ting Chen & Debao Ruan & Xiaowei Wang, 2023. "Land Finance, Real Estate Market, and Local Government Debt Risk: Evidence from China," Land, MDPI, vol. 12(8), pages 1-18, August.
    4. Clark, Brian & Hasan, Iftekhar & Lai, Helen & Li, Feng & Siddique, Akhtar, 2021. "Consumer defaults and social capital⋆," Journal of Financial Stability, Elsevier, vol. 53(C).
    5. Lee, Junyong & Lee, Kyounghun & Oh, Frederick Dongchuhl, 2023. "The effectiveness of capital controls and macroprudential measures," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 45(4), pages 1-22.
    6. Li, Xiao-Lin & Wang, Lijuan & Kong, Dongmin, 2023. "Macro-prudential policy and systemic risk of real estate firms: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PC).

  55. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 599-614, July.
    See citations under working paper version above.
  56. Lahmiri, Salim & Bekiros, Stelios, 2020. "Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).

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    1. Wang, Jian & Kim, Junseok & Shao, Wei & Nam, SeungHyon & Hong, Soon-Cheol, 2021. "Effect of oxytocin injection on fetal heart rate based on multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    2. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Weng Hoe Lam & Weng Siew Lam & Kah Fai Liew & Pei Fun Lee, 2023. "Decision Analysis on the Financial Performance of Companies Using Integrated Entropy-Fuzzy TOPSIS Model," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
    4. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Multifractal detrended cross-correlation analysis between respiratory diseases and haze in South Korea," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    5. Atipaga, Umar-Farouk & Alagidede, Imhotep & Tweneboah, George, 2025. "Information flow between stock returns of advanced markets and emerging African economies," Research in International Business and Finance, Elsevier, vol. 73(PA).
    6. Jamilu Said Babangida, 2023. "Nonlinearity in emerging market indices: A comprehensive study of stock exchange market dynamics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 23-37.
    7. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Phouphet Kyophilavong, 2021. "Nonlinearities and Chaos: A New Analysis of CEE Stock Markets," Mathematics, MDPI, vol. 9(7), pages 1-13, March.

  57. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.

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    1. Hasanov, Akram Shavkatovich & Burkhanov, Aktam Usmanovich & Usmonov, Bunyod & Khajimuratov, Nizomjon Shukurullaevich & Khurramova, Madina Mansur qizi, 2024. "The role of sudden variance shifts in predicting volatility in bioenergy crop markets under structural breaks," Energy, Elsevier, vol. 293(C).
    2. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    3. Walid Chkili, 2021. "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 433-448, September.
    4. Akanksha Jalan & Roman Matkovskyy & Andrew Urquhart & Larisa Yarovaya, 2023. "The role of interpersonal trust in cryptocurrency adoption," Post-Print hal-03946536, HAL.
    5. Raphael Amaro & Carlos Pinho, 2022. "Energy commodities: A study on model selection for estimating Value-at-Risk," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 5-27.
    6. Gradojevic, Nikola & Tsiakas, Ilias, 2021. "Volatility cascades in cryptocurrency trading," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 252-265.
    7. Efstathios Polyzos & Costas Siriopoulos, 2024. "Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 225-262, July.
    8. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Modelling crypto markets by multi-agent reinforcement learning," Papers 2402.10803, arXiv.org.
    9. Łęt Blanka & Sobański Konrad & Świder Wojciech & Włosik Katarzyna, 2022. "Is the cryptocurrency market efficient? Evidence from an analysis of fundamental factors for Bitcoin and Ethereum," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 351-370, December.
    10. Cohen, Gil & Aiche, Avishay, 2025. "Intelligent forecasting in bitcoin markets," Finance Research Letters, Elsevier, vol. 71(C).
    11. Raj, Prakash & Bera, Koushik & Selvaraju, N., 2025. "A hybrid model for intraday volatility prediction in Bitcoin markets," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).

  58. Soradi-Zeid, Samaneh & Jahanshahi, Hadi & Yousefpour, Amin & Bekiros, Stelios, 2020. "King algorithm: A novel optimization approach based on variable-order fractional calculus with application in chaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).

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    1. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    2. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    3. Bekiros, Stelios & Laarem, Guessas & Mou, Jun & Al-Barakati, Abdullah A. & Jahanshahi, Hadi, 2023. "Heterogeneous agent-based modeling of endogenous boom-bust cycles in financial markets with adaptive expectations and dynamically switching fractions between contrarian and fundamental market entry st," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    4. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    5. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    6. H. Mesgarani & Y. Esmaeelzade Aghdam & A. Beiranvand & J. F. Gómez-Aguilar, 2024. "A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1609-1626, April.
    7. Zambrano-Serrano, Ernesto & Bekiros, Stelios & Platas-Garza, Miguel A. & Posadas-Castillo, Cornelio & Agarwal, Praveen & Jahanshahi, Hadi & Aly, Ayman A., 2021. "On chaos and projective synchronization of a fractional difference map with no equilibria using a fuzzy-based state feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    8. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    9. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    10. Malik, Muhammad Faizan & Chang, Ching-Lung & Chaudhary, Naveed Ishtiaq & Khan, Zeshan Aslam & Kiani, Adiqa kausar & Shu, Chi-Min & Raja, Muhammad Asif Zahoor, 2023. "Swarming intelligence heuristics for fractional nonlinear autoregressive exogenous noise systems," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    11. Shoji, Isao & Nozawa, Masahiro, 2022. "Geometric analysis of nonlinear dynamics in application to financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    12. Jahanshahi, Hadi & Yousefpour, Amin & Munoz-Pacheco, Jesus M. & Kacar, Sezgin & Pham, Viet-Thanh & Alsaadi, Fawaz E., 2020. "A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption," Applied Mathematics and Computation, Elsevier, vol. 383(C).
    13. Chen, Shu-Bo & Jahanshahi, Hadi & Alhadji Abba, Oumate & Solís-Pérez, J.E. & Bekiros, Stelios & Gómez-Aguilar, J.F. & Yousefpour, Amin & Chu, Yu-Ming, 2020. "The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    14. Wang, Shaojie & Bekiros, Stelios & Yousefpour, Amin & He, Shaobo & Castillo, Oscar & Jahanshahi, Hadi, 2020. "Synchronization of fractional time-delayed financial system using a novel type-2 fuzzy active control method," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    15. Li, Jun-Feng & Jahanshahi, Hadi & Kacar, Sezgin & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alotaibi, Naif D. & Alharbi, Khalid H., 2021. "On the variable-order fractional memristor oscillator: Data security applications and synchronization using a type-2 fuzzy disturbance observer-based robust control," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    16. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    17. Alsaadi, Fawaz E. & Bekiros, Stelios & Yao, Qijia & Liu, Jinping & Jahanshahi, Hadi, 2023. "Achieving resilient chaos suppression and synchronization of fractional-order supply chains with fault-tolerant control," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    18. Xiong, Pei-Ying & Jahanshahi, Hadi & Alcaraz, Raúl & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alsaadi, Fawaz E., 2021. "Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

  59. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.

    Cited by:

    1. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    2. Kakinaka, Shinji & Umeno, Ken, 2022. "Cryptocurrency market efficiency in short- and long-term horizons during COVID-19: An asymmetric multifractal analysis approach," Finance Research Letters, Elsevier, vol. 46(PA).
    3. Sierra-Porta, D., 2024. "A multifractal approach to understanding Forbush Decrease events: Correlations with geomagnetic storms and space weather phenomena," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    4. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    5. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    7. Muhammad Anas & Syed Jawad Hussain Shahzad & Larisa Yarovaya, 2024. "The use of high-frequency data in cryptocurrency research: a meta-review of literature with bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
    8. Lahmiri, Salim & Bekiros, Stelios, 2020. "Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    9. Shahzad, Syed Jawad Hussain & Bouri, Elie & Kayani, Ghulam Mujtaba & Nasir, Rana Muhammad & Kristoufek, Ladislav, 2020. "Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    10. Alvarez-Ramirez, Jose & Espinosa-Paredes, Gilberto & Vernon-Carter, E. Jaime, 2025. "Causal wavelet analysis of the Bitcoin price dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    11. Lahmiri, Salim & Bekiros, Stelios, 2020. "Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    12. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.
    13. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    14. 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).
    15. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    16. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    17. Khurshid, Adnan & Khan, Khalid & Cifuentes-Faura, Javier & Chen, Yufeng, 2024. "Asymmetric multifractality: Comparative efficiency analysis of global technological and renewable energy prices using MFDFA and A-MFDFA approaches," Energy, Elsevier, vol. 289(C).
    18. Yaman Omer Erzurumlu & Tunc Oygur & Alper Kirik, 2020. "One size does not fit all: external driver of the cryptocurrency world," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 37(3), pages 545-560, June.
    19. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    20. Rick Bohte & Luca Rossini, 2019. "Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models," Papers 1909.06599, arXiv.org.
    21. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    22. do Nascimento, José Cláudio, 2021. "The personal wealth importance to the intertemporal choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    23. Hashem A. AlNemer & Besma Hkiri & Muhammed Asif Khan, 2021. "Time-Varying Nexus between Investor Sentiment and Cryptocurrency Market: New Insights from a Wavelet Coherence Framework," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    24. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.
    25. Lucía Inglada-Pérez & Pablo Coto-Millán, 2021. "A Chaos Analysis of the Dry Bulk Shipping Market," Mathematics, MDPI, vol. 9(17), pages 1-35, August.
    26. Cristiana Vaz & Rui Pascoal & Helder Sebastião, 2021. "Price Appreciation and Roughness Duality in Bitcoin: A Multifractal Analysis," Mathematics, MDPI, vol. 9(17), pages 1-18, August.
    27. Chuxuan Jiang & Priya Dev & Ross A. Maller, 2020. "A Hypothesis Test Method for Detecting Multifractal Scaling, Applied to Bitcoin Prices," JRFM, MDPI, vol. 13(5), pages 1-21, May.
    28. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Analysis of the impact of COVID-19 on the correlations between crude oil and agricultural futures," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).

  60. Jahanshahi, Hadi & Yousefpour, Amin & Wei, Zhouchao & Alcaraz, Raúl & Bekiros, Stelios, 2019. "A financial hyperchaotic system with coexisting attractors: Dynamic investigation, entropy analysis, control and synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 66-77.

    Cited by:

    1. Fawaz E. Alsaadi & Amirreza Yasami & Christos Volos & Stelios Bekiros & Hadi Jahanshahi, 2023. "A New Fuzzy Reinforcement Learning Method for Effective Chemotherapy," Mathematics, MDPI, vol. 11(2), pages 1-25, January.
    2. Chu, Yu-Ming & Bekiros, Stelios & Zambrano-Serrano, Ernesto & Orozco-López, Onofre & Lahmiri, Salim & Jahanshahi, Hadi & Aly, Ayman A., 2021. "Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    3. Qing Ding & Oumate Alhadji Abba & Hadi Jahanshahi & Madini O. Alassafi & Wen-Hua Huang, 2022. "Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    4. Wang, Bo & Liu, Jinping & Alassafi, Madini O. & Alsaadi, Fawaz E. & Jahanshahi, Hadi & Bekiros, Stelios, 2022. "Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    5. Jahanshahi, Hadi & Orozco-López, Onofre & Munoz-Pacheco, Jesus M. & Alotaibi, Naif D. & Volos, Christos & Wang, Zhen & Sevilla-Escoboza, R. & Chu, Yu-Ming, 2021. "Simulation and experimental validation of a non-equilibrium chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    6. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    7. Qijia Yao & Hadi Jahanshahi & Larissa M. Batrancea & Naif D. Alotaibi & Mircea-Iosif Rus, 2022. "Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning," Mathematics, MDPI, vol. 10(19), pages 1-14, October.
    8. Zhou, Shuang-Shuang & Jahanshahi, Hadi & Din, Qamar & Bekiros, Stelios & Alcaraz, Raúl & Alassafi, Madini O. & Alsaadi, Fawaz E. & Chu, Yu-Ming, 2021. "Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    9. Yousefpour, Amin & Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Wei, Zhouchao, 2020. "A fractional-order hyper-chaotic economic system with transient chaos," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    10. Truong Ngoc Cuong & Hwan-Seong Kim & Le Ngoc Bao Long & Sam-Sang You, 2024. "Seaport profit analysis and efficient management strategies under stochastic disruptions," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 212-240, June.
    11. Jahanshahi, Hadi & Sajjadi, Samaneh Sadat & Bekiros, Stelios & Aly, Ayman A., 2021. "On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    12. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Stabilization of Nonlinear Vibration of a Fractional-Order Arch MEMS Resonator Using a New Disturbance-Observer-Based Finite-Time Sliding Mode Control," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    13. Hou, Yi-You & Lin, Ming-Hung & Saberi-Nik, Hassan & Arya, Yogendra, 2024. "Boundary analysis and energy feedback control of fractional-order extended Malkus–Robbins dynamo system," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    14. Vogl, Markus, 2022. "Controversy in financial chaos research and nonlinear dynamics: A short literature review," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    15. Elie Bouri & Rangan Gupta, 2019. "Predicting Bitcoin Returns: Comparing the Roles of Newspaper- and Internet Search-Based Measures of Uncertainty," Working Papers 201955, University of Pretoria, Department of Economics.
    16. Fawaz E. Alsaadi & Amirreza Yasami & Hajid Alsubaie & Ahmed Alotaibi & Hadi Jahanshahi, 2022. "Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    17. Al-Barakati, Abdullah A. & Mesdoui, Fatiha & Bekiros, Stelios & Kaçar, Sezgin & Jahanshahi, Hadi, 2024. "A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    18. Bambe Moutsinga, Claude Rodrigue & Pindza, Edson & Maré, Eben, 2021. "Comparative performance of time spectral methods for solving hyperchaotic finance and cryptocurrency systems," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    19. Bekiros, Stelios & Yao, Qijia & Mou, Jun & Alkhateeb, Abdulhameed F. & Jahanshahi, Hadi, 2023. "Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    20. Wang, Shaojie & He, Shaobo & Yousefpour, Amin & Jahanshahi, Hadi & Repnik, Robert & Perc, Matjaž, 2020. "Chaos and complexity in a fractional-order financial system with time delays," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    21. Alsaade, Fawaz W. & Yao, Qijia & Bekiros, Stelios & Al-zahrani, Mohammed S. & Alzahrani, Ali S. & Jahanshahi, Hadi, 2022. "Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    22. Jahanshahi, Hadi & Yousefpour, Amin & Munoz-Pacheco, Jesus M. & Kacar, Sezgin & Pham, Viet-Thanh & Alsaadi, Fawaz E., 2020. "A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption," Applied Mathematics and Computation, Elsevier, vol. 383(C).
    23. Hajid Alsubaie & Amin Yousefpour & Ahmed Alotaibi & Naif D. Alotaibi & Hadi Jahanshahi, 2023. "Fault-Tolerant Terminal Sliding Mode Control with Disturbance Observer for Vibration Suppression in Non-Local Strain Gradient Nano-Beams," Mathematics, MDPI, vol. 11(3), pages 1-17, February.
    24. Chen, Shu-Bo & Jahanshahi, Hadi & Alhadji Abba, Oumate & Solís-Pérez, J.E. & Bekiros, Stelios & Gómez-Aguilar, J.F. & Yousefpour, Amin & Chu, Yu-Ming, 2020. "The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    25. Wang, Shaojie & Bekiros, Stelios & Yousefpour, Amin & He, Shaobo & Castillo, Oscar & Jahanshahi, Hadi, 2020. "Synchronization of fractional time-delayed financial system using a novel type-2 fuzzy active control method," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    26. Li, Jun-Feng & Jahanshahi, Hadi & Kacar, Sezgin & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alotaibi, Naif D. & Alharbi, Khalid H., 2021. "On the variable-order fractional memristor oscillator: Data security applications and synchronization using a type-2 fuzzy disturbance observer-based robust control," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    27. Truong Ngoc Cuong & Le Ngoc Bao Long & Hwan-Seong Kim & Sam-Sang You, 2023. "Data analytics and throughput forecasting in port management systems against disruptions: a case study of Busan Port," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 61-89, March.
    28. Zhang, Sen & Zheng, Jiahao & Wang, Xiaoping & Zeng, Zhigang, 2021. "A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    29. Wang, Yong-Long & Jahanshahi, Hadi & Bekiros, Stelios & Bezzina, Frank & Chu, Yu-Ming & Aly, Ayman A., 2021. "Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    30. Bekiros, Stelios & Jahanshahi, Hadi & Bezzina, Frank & Aly, Ayman A., 2021. "A novel fuzzy mixed H2/H∞ optimal controller for hyperchaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    31. Luo, Runzi & Song, Zijun & Liu, Shuai, 2023. "Fixed-time observed synchronization of chaotic system with all state variables unavailable in some periods," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    32. Truong Ngoc Cuong & Sam-Sang You & Le Ngoc Bao Long & Hwan-Seong Kim, 2022. "Seaport Resilience Analysis and Throughput Forecast Using a Deep Learning Approach: A Case Study of Busan Port," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    33. Paul, James Nicodemus & Mbalawata, Isambi Sailon & Mirau, Silas Steven & Masandawa, Lemjini, 2023. "Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    34. Soradi-Zeid, Samaneh & Jahanshahi, Hadi & Yousefpour, Amin & Bekiros, Stelios, 2020. "King algorithm: A novel optimization approach based on variable-order fractional calculus with application in chaotic financial systems," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    35. Xiong, Pei-Ying & Jahanshahi, Hadi & Alcaraz, Raúl & Chu, Yu-Ming & Gómez-Aguilar, J.F. & Alsaadi, Fawaz E., 2021. "Spectral Entropy Analysis and Synchronization of a Multi-Stable Fractional-Order Chaotic System using a Novel Neural Network-Based Chattering-Free Sliding Mode Technique," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

  61. Uddin, Gazi Salah & Gençay, Ramazan & Bekiros, Stelios & Sahamkhadam, Maziar, 2019. "Enhancing the predictability of crude oil markets with hybrid wavelet approaches," Economics Letters, Elsevier, vol. 182(C), pages 50-54.

    Cited by:

    1. Gazi Salah Uddin & Ou Tang & Maziar Sahamkhadam & Farhad Taghizadeh-Hesary & Muhammad Yahya & Pontus Cerin & Jakob Rehme, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
    2. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    3. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    4. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    5. Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    6. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    7. Clements, Adam & Otero, Jesús, 2025. "Forecasting retail fuel prices with spatial interdependencies," Economics Letters, Elsevier, vol. 247(C).
    8. Shahzad, Umer & Jena, Sangram Keshari & Tiwari, Aviral Kumar & Doğan, Buhari & Magazzino, Cosimo, 2022. "Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices," Resources Policy, Elsevier, vol. 78(C).

  62. Stelios Bekiros & Nikolaos Loukeris & Iordanis Eleftheriadis & Christos Avdoulas, 2019. "Tail-Related Risk Measurement and Forecasting in Equity Markets," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 783-816, February.

    Cited by:

    1. Evangelos Vasileiou, 2022. "Inaccurate Value at Risk Estimations: Bad Modeling or Inappropriate Data?," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1155-1171, March.
    2. Arturo Leccadito & Alessandro Staino & Pietro Toscano, 2024. "A novel robust method for estimating the covariance matrix of financial returns with applications to risk management," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
    3. Carole Bernard & Massimiliano Caporin & Bertrand Maillet & Xiang Zhang, 2023. "Omega Compatibility: A Meta-analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 493-526, August.
    4. Zhaoyi Xu & Yuqing Zeng & Yangrong Xue & Shenggang Yang, 2022. "Early Warning of Chinese Yuan’s Exchange Rate Fluctuation and Value at Risk Measure Using Neural Network Joint Optimization Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1293-1315, December.
    5. Wen-Juan Xu & Li-Xin Zhong, 2022. "Market impact shapes competitive advantage of investment strategies in financial markets," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-23, February.
    6. Stelios Bekiros & Nikolaos Loukeris & Nikolaos Matsatsinis & Frank Bezzina, 2019. "Customer Satisfaction Prediction in the Shipping Industry with Hybrid Meta-heuristic Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 647-667, August.

  63. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.

    Cited by:

    1. Júlio Lobão, 2022. "Herding Behavior in the Market for Green Cryptocurrencies: Evidence from CSSD and CSAD Approaches," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    2. Ghaemi Asl, Mahdi & Nasr Isfahani, Mohammad & Mohammadi, Mahsa, 2024. "How does the mineral resource exploitation sector interact with Islamic and traditional ventures? Insights amidst the impact of green reforms and state-of-the-art technological advancements," Resources Policy, Elsevier, vol. 98(C).
    3. Wang, Jian & Kim, Junseok & Shao, Wei & Nam, SeungHyon & Hong, Soon-Cheol, 2021. "Effect of oxytocin injection on fetal heart rate based on multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    4. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    5. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    6. Ali, Fahad & Bouri, Elie & Naifar, Nader & Shahzad, Syed Jawad Hussain & AlAhmad, Mohammad, 2022. "An examination of whether gold-backed Islamic cryptocurrencies are safe havens for international Islamic equity markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    7. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    8. Emna Mnif & Anis Jarboui, 2021. "Islamic, Green, And Conventional Cryptocurrency Market Efficiency During The Covid-19 Pandemic," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 7(Special I), pages 167-184, March.
    9. Wei Sun & Alisher Tohirovich Dedahanov & Ho Young Shin & Ki Su Kim, 2020. "Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    10. Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. "Factors affecting institutional investors to add crypto-currency to asset portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    11. Yousaf, Imran & Yarovaya, Larisa, 2022. "Spillovers between the Islamic gold-backed cryptocurrencies and equity markets during the COVID-19: A sectorial analysis," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).

  64. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim, 2019. "Is anti-herding behavior spurious?," Finance Research Letters, Elsevier, vol. 29(C), pages 379-383.

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    1. Chen, Jialan & Lin, Dan & Wu, Jiajing, 2022. "Do cryptocurrency exchanges fake trading volumes? An empirical analysis of wash trading based on data mining," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    2. Bouteska, Ahmed & Abedin, Mohammad Zoynul & Hajek, Petr & Yuan, Kunpeng, 2024. "Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods," International Review of Financial Analysis, Elsevier, vol. 92(C).
    3. Yuze Li & Shangrong Jiang & Yunjie Wei & Shouyang Wang, 2021. "Take Bitcoin into your portfolio: a novel ensemble portfolio optimization framework for broad commodity assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    4. Tianyi Li & Xiaoquan (Michael) Zhang, 2024. "Development Trajectory of Blockchain Platforms: The Role of Multirole," Information Systems Research, INFORMS, vol. 35(3), pages 1296-1323, September.
    5. Paolo Angelis & Roberto Marchis & Mario Marino & Antonio Luciano Martire & Immacolata Oliva, 2021. "Betting on bitcoin: a profitable trading between directional and shielding strategies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 883-903, December.
    6. Rajpal, Sheetal & Lakhyani, Navin & Singh, Ayush Kumar & Kohli, Rishav & Kumar, Naveen, 2021. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    7. Delpini, Danilo & Melis, Roberta & Russu, Paolo, 2025. "Dynamical analysis of a prey-predator-tourist model: Environmental preferences and optimal fee control," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    8. Wang, Jian & Kim, Junseok & Shao, Wei & Nam, SeungHyon & Hong, Soon-Cheol, 2021. "Effect of oxytocin injection on fetal heart rate based on multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    9. Zhang, Shaohua & Zhang, Hongli & Wang, Cong & Lin, Hairong, 2024. "Bionic modeling and dynamics analysis of heterogeneous brain regions connected by memristive synaptic crosstalk," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    10. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," FrenXiv e75gc_v1, Center for Open Science.
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    13. Zhang, Huayong & Guo, Fenglu & Zou, Hengchao & Zhao, Lei & Wang, Zhongyu & Yuan, Xiaotong & Liu, Zhao, 2024. "Refuge-driven spatiotemporal chaos in a discrete predator-prey system," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    14. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," MetaArXiv haf2v, Center for Open Science.
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    1. Aidin Zehtab-Salmasi & Ali-Reza Feizi-Derakhshi & Narjes Nikzad-Khasmakhi & Meysam Asgari-Chenaghlu & Saeideh Nabipour, 2023. "Multimodal Price Prediction," Annals of Data Science, Springer, vol. 10(3), pages 619-635, June.
    2. Shao, Zhen & Zheng, Qingru & Yang, Shanlin & Gao, Fei & Cheng, Manli & Zhang, Qiang & Liu, Chen, 2020. "Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM," Energy Economics, Elsevier, vol. 86(C).
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  68. Syed Jawad Hussain Shahzad & Naveed Raza & David Roubaud & Jose Arreola Hernandez & Stelios Bekiros, 2019. "Gold as Safe Haven for G-7 Stocks and Bonds: A Revisit," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 885-912, December.
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    1. Subhash Karmakar & Gautam Bandyopadhyay & Jayanta Nath Mukhopadhyay, 2024. "Systemic Risk in Indian Financial Institutions: A Probabilistic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 579-656, September.
    2. Foglia, Matteo & Addi, Abdelhamid & Angelini, Eliana, 2022. "The Eurozone banking sector in the time of COVID-19: Measuring volatility connectedness," Global Finance Journal, Elsevier, vol. 51(C).
    3. Kalpakam G & Krina TRIVEDI, 2021. "Systemic Risk in Indian Banking: Measurement and Impact of COVID-19," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 143-151.
    4. Wu, Xin & Bai, Xiao & Qi, Hanying & Lu, Lanxin & Yang, Mingyuan & Taghizadeh-Hesary, Farhad, 2023. "The impact of climate change on banking systemic risk," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 419-437.
    5. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    6. Ahmad, Wasim & Tiwari, Shiv Ratan & Wadhwani, Akshay & Khan, Mohammad Azeem & Bekiros, Stelios, 2023. "Financial networks and systemic risk vulnerabilities: A tale of Indian banks," Research in International Business and Finance, Elsevier, vol. 65(C).
    7. Miriam Kamah & Joshua Riti, 2024. "Measuring the connectedness of the Nigerian banking network and its implications for systemic risk," Modern Finance, Modern Finance Institute, vol. 2(2), pages 96-119.
    8. Zhang, Weiping & Zhuang, Xintian & Wang, Jian & Lu, Yang, 2020. "Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Pham, Thach N. & Powell, Robert & Bannigidadmath, Deepa, 2021. "Systemically important banks in Asian emerging markets: Evidence from four systemic risk measures," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    10. Huichen Jiang & Jun Zhang, 2020. "Discovering Systemic Risks of China's Listed Banks by CoVaR Approach in the Digital Economy Era," Mathematics, MDPI, vol. 8(2), pages 1-28, February.
    11. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Shahzad, Syed Jawad Hussain & Výrost, Tomáš, 2020. "Increasing systemic risk during the Covid-19 pandemic: A cross-quantilogram analysis of the banking sector," EconStor Preprints 222580, ZBW - Leibniz Information Centre for Economics.
    12. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Hussain Shahzad, Syed Jawad & Výrost, Tomáš, 2022. "Measuring systemic risk in the global banking sector: A cross-quantilogram network approach," Economic Modelling, Elsevier, vol. 109(C).
    13. Zhouwei Wang & Qicheng Zhao & Min Zhu & Tao Pang, 2020. "Jump Aggregation, Volatility Prediction, and Nonlinear Estimation of Banks’ Sustainability Risk," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    14. Das, Sanjiv R. & Kalimipalli, Madhu & Nayak, Subhankar, 2022. "Banking networks, systemic risk, and the credit cycle in emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    15. Narayan, Shivani & Kumar, Dilip & Bouri, Elie, 2023. "Systemically important financial institutions and drivers of systemic risk: Evidence from India," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

  70. Salim Lahmiri & Stelios Bekiros, 2019. "Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1569-1577, September.

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    1. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    2. Haoming Wang & Xiangdong Liu, 2021. "Undersampling bankruptcy prediction: Taiwan bankruptcy data," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
    3. Calabrese, G.G. & Falavigna, G. & Ippoliti, R., 2024. "Financial constraints prediction to lead socio-economic development: An application of neural networks to the Italian market," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    4. Salim Lahmiri & Stelios Bekiros & Anastasia Giakoumelou & Frank Bezzina, 2020. "Performance assessment of ensemble learning systems in financial data classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 3-9, January.
    5. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    6. Adebayo Oshingbesan & Eniola Ajiboye & Peruth Kamashazi & Timothy Mbaka, 2022. "Model-Free Reinforcement Learning for Asset Allocation," Papers 2209.10458, arXiv.org.
    7. Shamima Ahmed & Muneer Alshater & Anis El Ammari & Helmi Hammami, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Post-Print hal-03697290, HAL.
    8. Oleksandr Melnychenko, 2020. "Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?," JRFM, MDPI, vol. 13(9), pages 1-19, August.
    9. Sabek Amine, 2023. "Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 9(1), pages 16-32, July.
    10. Amir Mukeri & Habibullah Shaikh & D. P. Gaikwad, 2020. "Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction," Papers 2010.13892, arXiv.org, revised Oct 2020.
    11. Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021. "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers 2107.08808, arXiv.org.
    12. Sanghoon Lee & Keunho Choi & Donghee Yoo, 2023. "Building a core rule-based decision tree to explain the causes of insolvency in small and medium-sized enterprises more easily," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    13. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
    14. Kui Wang & Jie Wan & Gang Li & Hao Sun, 2022. "A Hybrid Algorithm-Level Ensemble Model for Imbalanced Credit Default Prediction in the Energy Industry," Energies, MDPI, vol. 15(14), pages 1-18, July.
    15. Nawaf Almaskati, 2022. "Machine learning in finance: Major applications, issues, metrics, and future trends," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-32, September.
    16. Caglayan, Mustafa & Pham, Tho & Talavera, Oleksandr & Xiong, Xiong, 2020. "Asset mispricing in peer-to-peer loan secondary markets," Journal of Corporate Finance, Elsevier, vol. 65(C).

  71. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.

    Cited by:

    1. Shrestha, Anil & Kakinaka, Makoto, 2023. "Nexus between renewable energy certificates and electricity prices in India: Evidence from wavelet coherence analysis," Renewable Energy, Elsevier, vol. 204(C), pages 836-847.
    2. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    3. Zhang, Xu & Ding, Zhijing & Hang, Jianqin & He, Qizhi, 2022. "How do stock price indices absorb the COVID-19 pandemic shocks?," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    4. Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021. "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, vol. 99(C).
    5. Gkillas, Konstantinos & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility jumps: The role of geopolitical risks," Finance Research Letters, Elsevier, vol. 27(C), pages 247-258.
    6. Agnello, Luca & Castro, Vítor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2020. "Global factors, uncertainty, weather conditions and energy prices: On the drivers of the duration of commodity price cycle phases," Energy Economics, Elsevier, vol. 90(C).
    7. Sinha, Avik & Sharif, Arshian & Adhikari, Arnab & Sharma, Ankit, 2021. "Dependence Structure between Indian Financial Market and Energy Commodities: A Cross-quantilogram based Evidence," MPRA Paper 111181, University Library of Munich, Germany, revised 2021.
    8. Olanipekun, Ifedolapo Olabisi & Alola, Andrew Adewale, 2020. "Crude oil production in the Persian Gulf amidst geopolitical risk, cost of damage and resources rents: Is there asymmetric inference?," Resources Policy, Elsevier, vol. 69(C).
    9. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    10. Nicholas Apergis & Tasawar Hayat & Tareq Saeed, 2021. "Cyclicality of commodity markets with respect to the U.S. economic policy uncertainty based on granger causality in quantiles," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    11. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    12. Emmanuel Apergis & Nicholas Apergis, 2021. "Can the COVID-19 Pandemic and Oil Prices Drive the US Partisan Conflict Index," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    13. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
    14. Yin, Libo & Wang, Yang, 2019. "Forecasting the oil prices: What is the role of skewness risk?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    15. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).
    16. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
    17. Cavana, G. & Becchio, C. & Bottero, M., 2025. "Feasibility and evolution studies on renewable energy communities in cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 213(C).
    18. Karol Szafranek & Michał Rubaszek & Gazi Salah Uddin, 2023. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," KAE Working Papers 2023-095, Warsaw School of Economics, Collegium of Economic Analysis.
    19. Kang, Sang Hoon & McIver, Ron P. & Hernandez, Jose Arreola, 2019. "Co-movements between Bitcoin and Gold: A wavelet coherence analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    20. Choi, Sun-Yong, 2020. "Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 37(C).
    21. Jiang, Qisheng & Cheng, Sheng, 2021. "How the fiscal and monetary policy uncertainty of China respond to global oil price volatility: A multi-regime-on-scale approach," Resources Policy, Elsevier, vol. 72(C).
    22. Öztunç Kaymak, Öznur & Kaymak, Yiğit, 2022. "Prediction of crude oil prices in COVID-19 outbreak using real data," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    23. Shao, Liuguo & Cao, Saisha & Zhang, Hua, 2024. "The impact of geopolitical risk on strategic emerging minerals prices: Evidence from MODWT-based Granger causality test," Resources Policy, Elsevier, vol. 88(C).
    24. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Post-Print hal-02956380, HAL.
    25. Sun, Xiaolei & Chen, Xiuwen & Wang, Jun & Li, Jianping, 2020. "Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    26. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    27. Yang, Lu, 2019. "Connectedness of economic policy uncertainty and oil price shocks in a time domain perspective," Energy Economics, Elsevier, vol. 80(C), pages 219-233.
    28. Yong Jiang & Yi-Shuai Ren & Chao-Qun Ma & Jiang-Long Liu & Basil Sharp, 2018. "Does the price of strategic commodities respond to U.S. Partisan Conflict?," Papers 1810.08396, arXiv.org, revised Feb 2020.
    29. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.
    30. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    31. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    32. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).

  72. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.
    3. Rehman, Mobeen Ur & Asghar, Nadia & Kang, Sang Hoon, 2020. "Do Islamic indices provide diversification to bitcoin? A time-varying copulas and value at risk application," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).

  73. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2018. "Risk perception in financial markets: On the flip side," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 184-206.

    Cited by:

    1. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    2. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    3. Naegels, Vanessa & D’Espallier, Bert & Mori, Neema, 2020. "Perceived problems with collateral: The value of informal networking," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 32-45.
    4. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    5. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    6. Zhongqiong Qu & Yongxin Wei & Xun Li, 2021. "Risk Perception of Rural Land Supply Reform in China: From the Perspective of Stakeholders," Agriculture, MDPI, vol. 11(7), pages 1-25, July.

  74. Bekiros, Stelios & Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Ur Rehman, Mobeen, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Economic Modelling, Elsevier, vol. 69(C), pages 301-312.
    See citations under working paper version above.
  75. Christos Avdoulas & Stelios Bekiros & Sabri Boubaker, 2018. "Evolutionary-based return forecasting with nonlinear STAR models: evidence from the Eurozone peripheral stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 307-333, March.

    Cited by:

    1. Paravee Maneejuk & Woraphon Yamaka & Songsak Sriboonchitta, 2021. "Does the Kuznets curve exist in Thailand? A two decades’ perspective (1993–2015)," Annals of Operations Research, Springer, vol. 300(2), pages 545-576, May.
    2. Ben Hamida, Amal & de Peretti, Christian & Belkacem, Lotfi, 2024. "The link between abnormal numbers and price movements of financial securities: How does Benford’s law predict stock returns?," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    3. Azzurra Morreale & Jan Stoklasa & Mikael Collan & Giovanna Lo Nigro, 2018. "Uncertain outcome presentations bias decisions: experimental evidence from Finland and Italy," Annals of Operations Research, Springer, vol. 268(1), pages 259-272, September.
    4. Stelios Bekiros & Christos Avdoulas, 2020. "Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis," Forecasting, MDPI, vol. 2(2), pages 1-28, May.
    5. Roy Cerqueti & Mario Maggi & Jessica Riccioni, 2024. "Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk," Annals of Operations Research, Springer, vol. 342(3), pages 1445-1469, November.
    6. Erdinc Akyildirim & Ahmet Goncu & Ahmet Sensoy, 2021. "Prediction of cryptocurrency returns using machine learning," Annals of Operations Research, Springer, vol. 297(1), pages 3-36, February.
    7. Renbo Liu & Yuhui Ge & Peng Zuo, 2023. "Study on Economic Data Forecasting Based on Hybrid Intelligent Model of Artificial Neural Network Optimized by Harris Hawks Optimization," Mathematics, MDPI, vol. 11(21), pages 1-28, November.
    8. R. K. Jana & Indranil Ghosh & Debojyoti Das, 2021. "A differential evolution-based regression framework for forecasting Bitcoin price," Annals of Operations Research, Springer, vol. 306(1), pages 295-320, November.

  76. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2018. "Bank capital shocks and countercyclical requirements: Implications for banking stability and welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 315-331.

    Cited by:

    1. Baldi, Guido & Bodmer, André, 2020. "Monetary and Macroprudential Policies in an Intangible Economy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(3), pages 325-353.
    2. Gulan, Adam & Jokivuolle, Esa & Verona, Fabio, 2022. "Optimal bank capital requirements: What do the macroeconomic models say?," BoF Economics Review 2/2022, Bank of Finland.
    3. Wu, Xin & Bai, Xiao & Qi, Hanying & Lu, Lanxin & Yang, Mingyuan & Taghizadeh-Hesary, Farhad, 2023. "The impact of climate change on banking systemic risk," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 419-437.
    4. Agénor, Pierre-Richard & Jackson, Timothy P., 2022. "Monetary and macroprudential policy coordination with biased preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    5. Yugang He & Zhuoqi Teng, 2024. "Navigating Uncharted Waters: The Transformation of the Bank of Korea’s Monetary Policy in Response to Global Economic Uncertainty," Mathematics, MDPI, vol. 12(11), pages 1-24, May.
    6. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    7. Gebauer, Stefan & Mazelis, Falk, 2023. "Macroprudential regulation and leakage to the shadow banking sector," European Economic Review, Elsevier, vol. 154(C).
    8. Liu, Guangling & Molise, Thabang, 2019. "Housing and credit market shocks: Exploring the role of rule-based Basel III counter-cyclical capital requirements," Economic Modelling, Elsevier, vol. 82(C), pages 264-279.
    9. Solikin M. Juhro & Denny Lie & Atet Rizki Wijoseno & Mohammad Aly Fikry, 2022. "Fiscal Policy Stance, Central Bank Digital Currency, And The Optimal Monetary-Macroprudential Policy Mix," Working Papers WP/01/2022, Bank Indonesia.
    10. Wen-Juan Xu & Li-Xin Zhong, 2022. "Market impact shapes competitive advantage of investment strategies in financial markets," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-23, February.
    11. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2020. "Expectation-driven house prices and debt defaults: The effectiveness of monetary and macroprudential policies," Journal of Financial Stability, Elsevier, vol. 49(C).
    12. Giorgio Massari & Luca Portoghese & Patrizio Tirelli, 2024. "Whither Liquidity Shocks? Implications for R∗ and Monetary Policy," DEM Working Papers Series 217, University of Pavia, Department of Economics and Management.
    13. Solikin M. Juhro & Denny Lie, 2024. "Financial System Procyclicality and Optimal Capital Requirement Policy: Revisiting Countercyclical Responses," Working Papers 2024-22, University of Sydney, School of Economics, revised Jan 2025.
    14. Giorgio Massari & Patrizio Tirelli, 2022. "Whither Liquidity Shocks?," Working Papers 502, University of Milano-Bicocca, Department of Economics.
    15. Xinping Zhang & Yimeng Zhang & Yunchan Zhu, 2021. "COVID-19 Pandemic, Sustainability of Macroeconomy, and Choice of Monetary Policy Targets: A NK-DSGE Analysis Based on China," Sustainability, MDPI, vol. 13(6), pages 1-20, March.

  77. Bekiros, Stelios & Avdoulas, Christos & Hassapis, Christis, 2018. "Nonlinear equilibrium adjustment dynamics and predictability of the term structure of interest rates," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 140-155.

    Cited by:

    1. Stelios Bekiros & Christos Avdoulas, 2020. "Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis," Forecasting, MDPI, vol. 2(2), pages 1-28, May.
    2. Avdoulas Christos & Bekiros Stelios & Lucey Brian, 2020. "The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-23, September.
    3. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).

  78. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Shahbaz, Muhammad & Kayani, Ghulam Mujtaba, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 104-127.
    See citations under working paper version above.
  79. Labidi, Chiaz & Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Bekiros, Stelios, 2018. "Quantile dependence between developed and emerging stock markets aftermath of the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 179-211.

    Cited by:

    1. Narayan, Shivani & Kumar, Dilip, 2024. "Unveiling interconnectedness and risk spillover among cryptocurrencies and other asset classes," Global Finance Journal, Elsevier, vol. 62(C).
    2. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    3. Zhang, Hua & Chen, Jinyu & Shao, Liuguo, 2021. "Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    5. Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Kang, Sang Hoon, 2021. "Quantile relationship between Islamic and non-Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    6. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    7. Wu, Fei, 2020. "Stock market integration in East and Southeast Asia: The role of global factors," International Review of Financial Analysis, Elsevier, vol. 67(C).
    8. Axel Per Hedström & Gazi Salah Uddin & Md Lutfur Rahman & Bo Sjö, 2024. "Systemic risk in the Scandinavian banking sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 581-608, January.
    9. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
    10. Liu, Jing & Ma, Feng & Tang, Yingkai & Zhang, Yaojie, 2019. "Geopolitical risk and oil volatility: A new insight," Energy Economics, Elsevier, vol. 84(C).
    11. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    12. Borg, Elin & Kits, Ilya & Junttila, Juha & Uddin, Gazi Salah, 2022. "Dependence between renewable energy related critical metal futures and producer equity markets across varying market conditions," Renewable Energy, Elsevier, vol. 190(C), pages 879-892.
    13. Bhattacharjee, Biplab & Kumar, Rajiv & Senthilkumar, Arunachalam, 2022. "Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. Parthajit Kayal & Sumanjay Dutta, 2024. "Regime switching and causal network analysis of cryptocurrency volatility: evidence from pre-COVID and post-COVID analysis," Digital Finance, Springer, vol. 6(2), pages 319-340, June.
    15. Makkonen, Adam & Vallström, Daniel & Uddin, Gazi Salah & Rahman, Md Lutfur & Haddad, Michel Ferreira Cardia, 2021. "The effect of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns," Energy Economics, Elsevier, vol. 100(C).
    16. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    17. Sun, Jie & Zhao, Xiaojun & Xu, Chao, 2021. "Crude oil market autocorrelation: Evidence from multiscale quantile regression analysis," Energy Economics, Elsevier, vol. 98(C).
    18. Elsayed, Ahmed H. & Sohag, Kazi & Sousa, Ricardo M., 2024. "Oil shocks and financial stability in MENA countries," Resources Policy, Elsevier, vol. 89(C).
    19. Shahzad, Syed Jawad Hussain & Rahman, Md Lutfur & Lucey, Brian M. & Uddin, Gazi Salah, 2021. "Re-examining the real option characteristics of gold for gold mining companies," Resources Policy, Elsevier, vol. 70(C).
    20. Muhammad Abubakr Naeem & Saqib Farid & Fiza Qureshi & Farhad Taghizadeh‐Hesary, 2023. "Global factors and the transmission between United States and emerging stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3488-3510, October.
    21. Stenvall, David & Hedström, Axel & Yoshino, Naoyuki & Uddin, Gazi Salah & Taghizadeh-Hesary, Farhad, 2022. "Nonlinear tail dependence between the housing and energy markets," Energy Economics, Elsevier, vol. 106(C).
    22. Mohammed Amine Mouffok & Omar Mouffok & Wassila Bouabdallah, 2025. "The impact of commodity prices on developed and emerging financial markets during COVID-19 pandemic and Russia–Ukraine war: evidence from the Dynamic ARDL approach," SN Business & Economics, Springer, vol. 5(7), pages 1-26, July.
    23. Pan, Qunxing & Mei, Xiaowen & Gao, Tianqing, 2022. "Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).

  80. Lahmiri, Salim & Bekiros, Stelios & Salvi, Antonio, 2018. "Long-range memory, distributional variation and randomness of bitcoin volatility," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 43-48.

    Cited by:

    1. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    2. Wei Zhang & Pengfei Wang & Xiao Li & Dehua Shen, 2018. "Some stylized facts of the cryptocurrency market," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5950-5965, November.
    3. Afees A. Salisu & Idris Adediran, 2018. "Testing for time-varying stochastic volatility in Bitcoin returns," Working Papers 060, Centre for Econometric and Allied Research, University of Ibadan.
    4. Fa-Bin Shi & Xiao-Qian Sun & Jin-Hua Gao & Li Xu & Hua-Wei Shen & Xue-Qi Cheng, 2019. "Anomaly detection in Bitcoin market via price return analysis," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-11, June.
    5. Liu, Keshi & Weng, Tongfeng & Gu, Changgui & Yang, Huijie, 2020. "Visibility graph analysis of Bitcoin price series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    6. López-Cabarcos, M. Ángeles & Pérez-Pico, Ada M. & Piñeiro-Chousa, Juan & Šević, Aleksandar, 2021. "Bitcoin volatility, stock market and investor sentiment. Are they connected?," Finance Research Letters, Elsevier, vol. 38(C).
    7. Leonardo Ieracitano Vieira & Márcio Poletti Laurini, 2023. "Time-varying higher moments in Bitcoin," Digital Finance, Springer, vol. 5(2), pages 231-260, June.
    8. Dora Almeida & Andreia Dionísio & Isabel Vieira & Paulo Ferreira, 2022. "Uncertainty and Risk in the Cryptocurrency Market," JRFM, MDPI, vol. 15(11), pages 1-17, November.
    9. Walid Chkili, 2021. "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 433-448, September.
    10. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    11. CELIK, Ismail, 2020. "Can Bitcoin Be A Stable Investment?," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(2), pages 19-36, June.
    12. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    13. Mingbo Zheng & Gen-Fu Feng & Xinxin Zhao & Chun-Ping Chang, 2023. "The transaction behavior of cryptocurrency and electricity consumption," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
    14. Alves, P.R.L. & Duarte, L.G.S. & da Mota, L.A.C.P., 2018. "Detecting chaos and predicting in Dow Jones Index," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 232-238.
    15. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    16. Lahmiri, Salim & Bekiros, Stelios, 2020. "Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    17. Davide Provenzano & Rodolfo Baggio, 2021. "Complexity traits and synchrony of cryptocurrencies price dynamics," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 941-955, December.
    18. Sabah, Nasim, 2020. "Cryptocurrency accepting venues, investor attention, and volatility," Finance Research Letters, Elsevier, vol. 36(C).
    19. Chen, Yan & Zhang, Lei & Bouri, Elie, 2024. "Can a self-exciting jump structure better capture the jump behavior of cryptocurrencies? A comparative analysis with the S&P 500," Research in International Business and Finance, Elsevier, vol. 69(C).
    20. Serdar Neslihanoglu, 2021. "Linearity extensions of the market model: a case of the top 10 cryptocurrency prices during the pre-COVID-19 and COVID-19 periods," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    21. Marco Ortu & Nicola Uras & Claudio Conversano & Giuseppe Destefanis & Silvia Bartolucci, 2021. "On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning," Papers 2102.08189, arXiv.org, revised Feb 2021.
    22. Wang, Jian & Yang, Mengdie & Lu, Lin & Shao, Wei, 2022. "Does the “Delta Variant” affect the nonlinear dynamic characteristics of SARS-CoV-2 transmission?," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    23. Lahmiri, Salim & Bekiros, Stelios, 2020. "Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    24. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.
    25. Pınar Kaya Soylu & Mustafa Okur & Özgür Çatıkkaş & Z. Ayca Altintig, 2020. "Long Memory in the Volatility of Selected Cryptocurrencies: Bitcoin, Ethereum and Ripple," JRFM, MDPI, vol. 13(6), pages 1-21, May.
    26. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    27. Felföldi-Szűcs, Nóra & Králik, Balázs & Váradi, Kata, 2024. "Put–call parity in a crypto option market — Evidence from Binance," Finance Research Letters, Elsevier, vol. 61(C).
    28. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    29. James, Nick, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    30. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    31. Tan, Shay-Kee & Chan, Jennifer So-Kuen & Ng, Kok-Haur, 2020. "On the speculative nature of cryptocurrencies: A study on Garman and Klass volatility measure," Finance Research Letters, Elsevier, vol. 32(C).
    32. Dimpfl, Thomas & Peter, Franziska J., 2021. "Nothing but noise? Price discovery across cryptocurrency exchanges," Journal of Financial Markets, Elsevier, vol. 54(C).
    33. Wajdi Moussa & Nidhal Mgadmi & Rym Regaïeg & Abdelhafidh Othmani, 2020. "Non-linear adjustment of the Bitcoin–US dollar exchange rate," Digital Finance, Springer, vol. 2(1), pages 143-158, September.
    34. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2019. "A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series," Papers 1909.10957, arXiv.org, revised Jul 2021.
    35. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
    36. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    37. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    38. Aloosh, Arash & Ouzan, Samuel, 2020. "The psychology of cryptocurrency prices," Finance Research Letters, Elsevier, vol. 33(C).
    39. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Multifractal detrended cross-correlation analysis between respiratory diseases and haze in South Korea," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    40. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    41. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Yoon, Seong-Min, 2018. "Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets," Finance Research Letters, Elsevier, vol. 27(C), pages 228-234.
    42. Mladenović, Dušan & Bruni, Roberto & Filieri, Raffaele & Ismagilova, Elvira & Kalia, Prateek & Jirásek, Michal, 2024. "The power of electronic Word of Mouth in inducing adoption of emerging technologies," Technology in Society, Elsevier, vol. 79(C).
    43. Köchling, Gerrit & Müller, Janis & Posch, Peter N., 2019. "Does the introduction of futures improve the efficiency of Bitcoin?," Finance Research Letters, Elsevier, vol. 30(C), pages 367-370.
    44. Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2019. "On long memory effects in the volatility measure of Cryptocurrencies," Finance Research Letters, Elsevier, vol. 28(C), pages 95-100.
    45. C. Y. Tan & Y. B. Koh & K. H. Ng & K. H. Ng, 2019. "Structural Change Analysis of Active Cryptocurrency Market," Papers 1909.10679, arXiv.org.
    46. Lahmiri, Salim & Bekiros, Stelios, 2019. "Cryptocurrency forecasting with deep learning chaotic neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 35-40.
    47. Jules Clément Mba & Sutene Mwambetania Mwambi & Edson Pindza, 2022. "A Monte Carlo Approach to Bitcoin Price Prediction with Fractional Ornstein–Uhlenbeck Lévy Process," Forecasting, MDPI, vol. 4(2), pages 1-11, March.
    48. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Ko, Hee-Un & Yoon, Seong-Min & Kang, Sang Hoon, 2020. "Why cryptocurrency markets are inefficient: The impact of liquidity and volatility," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    49. Klender Cortez & Martha del Pilar Rodríguez-García & Samuel Mongrut, 2020. "Exchange Market Liquidity Prediction with the K-Nearest Neighbor Approach: Crypto vs. Fiat Currencies," Mathematics, MDPI, vol. 9(1), pages 1-15, December.
    50. Ahmed, Mohamed Shaker & El-Masry, Ahmed A. & Al-Maghyereh, Aktham I. & Kumar, Satish, 2024. "Cryptocurrency volatility: A review, synthesis, and research agenda," Research in International Business and Finance, Elsevier, vol. 71(C).
    51. Yuan, Ying & Zhang, Tonghui, 2020. "Forecasting stock market in high and low volatility periods: a modified multifractal volatility approach," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    52. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    53. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    54. Jin-Bom Han & Sun-Hak Kim & Myong-Hun Jang & Kum-Sun Ri, 2020. "Using Genetic Algorithm and NARX Neural Network to Forecast Daily Bitcoin Price," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 337-353, August.
    55. Nidhal Mgadmi & Azza Béjaoui & Wajdi Moussa, 2023. "Disentangling the Nonlinearity Effect in Cryptocurrency Markets During the Covid-19 Pandemic: Evidence from a Regime-Switching Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 457-473, September.
    56. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.
    57. Li, Chunzi & Bian, Ailian, 2025. "Multiscale topological analysis of virtual currency price series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 660(C).
    58. Nick James, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Papers 2101.00576, arXiv.org, revised Feb 2021.
    59. Dooruj Rambaccussing & Murat Mazibas, 2020. "True versus Spurious Long Memory in Cryptocurrencies," JRFM, MDPI, vol. 13(9), pages 1-11, August.
    60. Lepomäki, Laura & Kanniainen, Juho & Hansen, Henri, 2021. "Retaliation in Bitcoin networks," Economics Letters, Elsevier, vol. 203(C).
    61. Derick Quintino & Jessica Campoli & Heloisa Burnquist & Paulo Ferreira, 2020. "Efficiency of the Brazilian Bitcoin: A DFA Approach," IJFS, MDPI, vol. 8(2), pages 1-9, April.
    62. Fang, Wen & Tian, Shaolin & Wang, Jun, 2018. "Multiscale fluctuations and complexity synchronization of Bitcoin in China and US markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 109-120.
    63. Lennart Ante, 2020. "A place next to Satoshi: foundations of blockchain and cryptocurrency research in business and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1305-1333, August.
    64. Nils Bundi & Marc Wildi, 2019. "Bitcoin and market-(in)efficiency: a systematic time series approach," Digital Finance, Springer, vol. 1(1), pages 47-65, November.
    65. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    66. Tan, Chia-Yen & Koh, You-Beng & Ng, Kok-Haur & Ng, Kooi-Huat, 2021. "Dynamic volatility modelling of Bitcoin using time-varying transition probability Markov-switching GARCH model," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    67. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.

  81. Badshah, Ihsan & Bekiros, Stelios & Lucey, Brian M. & Uddin, Gazi Salah, 2018. "Asymmetric linkages among the fear index and emerging market volatility indices," Emerging Markets Review, Elsevier, vol. 37(C), pages 17-31.

    Cited by:

    1. Wu, Nan & Wen, Fenghua & Gong, Xu, 2022. "Marionettes behind co-movement of commodity prices: Roles of speculative and hedging activities," Energy Economics, Elsevier, vol. 115(C).
    2. Bouri, Elie & Lucey, Brian & Roubaud, David, 2020. "Dynamics and determinants of spillovers across the option-implied volatilities of US equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 257-264.
    3. Xiao, Jihong & Wang, Yudong & Wen, Danyan, 2023. "The predictive effect of risk aversion on oil returns under different market conditions," Energy Economics, Elsevier, vol. 126(C).
    4. Lee, Hsiu-Chuan & Lee, Yun-Huan & Nguyen, Cuong, 2023. "Tail comovements of implied volatility indices and global index futures returns predictability," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Uddin, Gazi Salah & Yahya, Muhammad & Goswami, Gour Gobinda & Lucey, Brian & Ahmed, Ali, 2022. "Stock market contagion during the COVID-19 pandemic in emerging economies," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 302-309.
    6. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    7. Xiao, Jihong & Hu, Chunyan & Ouyang, Guangda & Wen, Fenghua, 2019. "Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 80(C), pages 297-309.
    8. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    9. Debojyoti Das & Anupam Dutta & Rabin K. Jana & Indranil Ghosh, 2023. "The asymmetric impact of oil price uncertainty on emerging market financial stress: A quantile regression approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4299-4323, October.
    10. Sinda Hadhri, 2021. "Fear of the Coronavirus and Cryptocurrencies' returns," Economics Bulletin, AccessEcon, vol. 41(3), pages 2041-2054.
    11. Zhu, Xuehong & Chen, Ying & Chen, Jinyu, 2021. "Effects of non-ferrous metal prices and uncertainty on industry stock market under different market conditions," Resources Policy, Elsevier, vol. 73(C).
    12. Emrah Koçak & Umit Bulut & Angeliki N. Menegaki, 2022. "The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 32-45, January.
    13. de Oliveira, Erick Meira & Cunha, Felipe Arias Fogliano de Souza & Palazzi, Rafael Baptista & Klotzle, Marcelo Cabus & Maçaira, Paula Medina, 2020. "On the effects of uncertainty measures on sustainability indices: An empirical investigation in a nonlinear framework," International Review of Financial Analysis, Elsevier, vol. 70(C).
    14. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    15. Ebenezer Boateng & Emmanuel Asafo-Adjei & John Gartchie Gatsi & ªtefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2022. "Multifrequency-based non-linear approach to analyzing implied volatility transmission across global financial markets," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 699-743, September.
    16. Ghazani, Majid Mirzaee & Khosravi, Reza & Caporin, Massimiliano, 2023. "Analyzing interconnection among selected commodities in the 2008 global financial crisis and the COVID-19 pandemic," Resources Policy, Elsevier, vol. 80(C).
    17. Chen, Rongda & Wu, Ling & Jin, Chenglu & Wang, Shengnan, 2021. "Unintended investor sentiment on bank financial products: Evidence from China," Emerging Markets Review, Elsevier, vol. 49(C).
    18. Ritika & Himanshu & Nawal Kishor, 2023. "Modeling of factors affecting investment behavior during the pandemic: a grey-DEMATEL approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 222-235, June.
    19. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    20. Liang, Chin Chia & Troy, Carol & Rouyer, Ellen, 2020. "U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    21. Bartosz Łamasz & Natalia Iwaszczuk, 2020. "The Impact of Implied Volatility Fluctuations on Vertical Spread Option Strategies: The Case of WTI Crude Oil Market," Energies, MDPI, vol. 13(20), pages 1-23, October.
    22. Uddin, Gazi Salah & Yahya, Muhammad & Park, Donghyun & Hedström, Axel & Tian, Shu, 2024. "Bond market spillover networks of ASEAN-4 markets: Is the global pandemic different?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1028-1044.
    23. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    24. Faisal Alqahtani & Nader Trabelsi & Nahla Samargandi & Syed Jawad Hussain Shahzad, 2020. "Tail Dependence and Risk Spillover from the US to GCC Banking Sectors," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    25. Long, Wen & Zhao, Manyi & Tang, Yeran, 2021. "Can the Chinese volatility index reflect investor sentiment?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    26. 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.
    27. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    28. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    29. Tissaoui, Kais & Zaghdoudi, Taha, 2021. "Dynamic connectedness between the U.S. financial market and Euro-Asian financial markets: Testing transmission of uncertainty through spatial regressions models," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 481-492.
    30. Boateng, Ebenezer & Adam, Anokye M. & Junior, Peterson Owusu, 2021. "Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic," Resources Policy, Elsevier, vol. 74(C).
    31. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    32. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.
    33. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    34. Giovanni Campisi & Silvia Muzzioli, 2021. "Designing volatility indices for Austria, Finland and Spain," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 369-455, September.
    35. Tang, Chia-Hsien & Lee, Yen-Hsien & Chen, Chan-Shin & Huang, Ya-Ling, 2025. "The COVID-19 pandemic and feedback trading dynamics: Unveiling global patterns," Research in International Business and Finance, Elsevier, vol. 73(PB).
    36. Gunay, Samet & Dömötör, Barbara & Víg, Attila András, 2025. "Investigation of emerging market stress under various frequency bands: Evidence from FX market uncertainty and liquidity," Emerging Markets Review, Elsevier, vol. 65(C).

  82. Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.

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    1. Omane-Adjepong, Maurice & Alagidede, Imhotep Paul, 2020. "High- and low-level chaos in the time and frequency market returns of leading cryptocurrencies and emerging assets," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    2. Nick James & Max Menzies & Kevin Chin, 2022. "Economic state classification and portfolio optimisation with application to stagflationary environments," Papers 2203.15911, arXiv.org, revised Sep 2022.
    3. Wei Zhang & Pengfei Wang & Xiao Li & Dehua Shen, 2018. "Some stylized facts of the cryptocurrency market," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5950-5965, November.
    4. Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
    5. Afees A. Salisu & Idris Adediran, 2018. "Testing for time-varying stochastic volatility in Bitcoin returns," Working Papers 060, Centre for Econometric and Allied Research, University of Ibadan.
    6. Kristjanpoller, Werner & Bouri, Elie & Takaishi, Tetsuya, 2020. "Cryptocurrencies and equity funds: Evidence from an asymmetric multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    7. Orlando, Giuseppe, 2022. "Simulating heterogeneous corporate dynamics via the Rulkov map," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 32-42.
    8. Liu, Keshi & Weng, Tongfeng & Gu, Changgui & Yang, Huijie, 2020. "Visibility graph analysis of Bitcoin price series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    9. Wang, Jian & Kim, Junseok & Shao, Wei & Nam, SeungHyon & Hong, Soon-Cheol, 2021. "Effect of oxytocin injection on fetal heart rate based on multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    10. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    11. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    12. Partida, Alberto & Gerassis, Saki & Criado, Regino & Romance, Miguel & Giráldez, Eduardo & Taboada, Javier, 2022. "The chaotic, self-similar and hierarchical patterns in Bitcoin and Ethereum price series," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    13. Nassim Dehouche, 2021. "Scale matters: The daily, weekly and monthly volatility and predictability of Bitcoin, Gold, and the S&P 500," Papers 2103.00395, arXiv.org.
    14. Alves, P.R.L. & Duarte, L.G.S. & da Mota, L.A.C.P., 2018. "Detecting chaos and predicting in Dow Jones Index," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 232-238.
    15. Ouandlous, Arav & Barkoulas, John T. & Pantos, Themis D., 2022. "Extremity in bitcoin market activity," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    16. Du, Xiaoxu & Tang, Zhenpeng & Chen, Kaijie, 2023. "A novel crude oil futures trading strategy based on volume-price time-frequency decomposition with ensemble deep reinforcement learning," Energy, Elsevier, vol. 285(C).
    17. Davide Provenzano & Rodolfo Baggio, 2021. "Complexity traits and synchrony of cryptocurrencies price dynamics," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 941-955, December.
    18. Telli, Şahin & Chen, Hongzhuan, 2021. "Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    19. Telli, Şahin & Chen, Hongzhuan & Zhao, Xufeng, 2022. "Detecting multifractality and exposing distributions of local fluctuations: Detrended fluctuation analysis with descriptive statistics pooling," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    20. Wang, Jian & Yang, Mengdie & Lu, Lin & Shao, Wei, 2022. "Does the “Delta Variant” affect the nonlinear dynamic characteristics of SARS-CoV-2 transmission?," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    21. Lahmiri, Salim & Bekiros, Stelios, 2020. "Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    22. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.
    23. Mohamed Shaker Ahmed & Elie Bouri, 2023. "Long memory and structural breaks of cryptocurrencies trading volume," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 469-497, December.
    24. da Silva Filho, Antônio Carlos & Maganini, Natália Diniz & de Almeida, Eduardo Fonseca, 2018. "Multifractal analysis of Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 954-967.
    25. Lahmiri, Salim & Bekiros, Stelios, 2018. "Time-varying self-similarity in alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 1-5.
    26. Nick James & Kevin Chin, 2021. "On the systemic nature of global inflation, its association with equity markets and financial portfolio implications," Papers 2111.11022, arXiv.org, revised Jan 2022.
    27. Lahmiri, Salim & Bekiros, Stelios & Avdoulas, Christos, 2018. "Time-dependent complexity measurement of causality in international equity markets: A spatial approach," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 215-219.
    28. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    29. Kristjanpoller, Werner & Nekhili, Ramzi & Bouri, Elie, 2024. "Blockchain ETFs and the cryptocurrency and Nasdaq markets: Multifractal and asymmetric cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    30. Lee, Min-Jae & Choi, Sun-Yong, 2024. "Insights into the dynamics of market efficiency spillover of financial assets in different equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    31. Soliman, Nancy S. & Tolba, Mohammed F. & Said, Lobna A. & Madian, Ahmed H. & Radwan, Ahmed G., 2019. "Fractional X-shape controllable multi-scroll attractor with parameter effect and FPGA automatic design tool software," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 292-307.
    32. AboAlNaga, BahaaAlDeen M. & Said, Lobna A. & Madian, Ahmed H. & Radwan, Ahmed G., 2021. "Analysis and FPGA of semi-fractal shapes based on complex Gaussian map," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    33. James, Nick & Chin, Kevin, 2022. "On the systemic nature of global inflation, its association with equity markets and financial portfolio implications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    34. Merediz-Solà, Ignasi & Bariviera, Aurelio F., 2019. "A bibliometric analysis of bitcoin scientific production," Research in International Business and Finance, Elsevier, vol. 50(C), pages 294-305.
    35. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    36. Wang, Feng & Ye, Xin & Chen, HongTao & Wu, Congxin, 2021. "A portfolio strategy of stock market based on mean-MF-X-DMA model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    37. Nick James & Max Menzies & Jennifer Chan, 2019. "Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19," Papers 1912.06193, arXiv.org, revised Nov 2020.
    38. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    39. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    40. Takaishi, Tetsuya, 2018. "Statistical properties and multifractality of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 507-519.
    41. Cao, Guangxi & Ling, Meijun, 2022. "Asymmetry and conduction direction of the interdependent structure between cryptocurrency and US dollar, renminbi, and gold markets," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    42. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    43. Alaoui, Marwane El & Bouri, Elie & Roubaud, David, 2019. "Bitcoin price–volume: A multifractal cross-correlation approach," Finance Research Letters, Elsevier, vol. 31(C).
    44. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    45. Telli, Şahin & Chen, Hongzhuan, 2020. "Multifractal behavior in return and volatility series of Bitcoin and gold in comparison," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    46. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Multifractal detrended cross-correlation analysis between respiratory diseases and haze in South Korea," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    47. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.
    48. Lahmiri, Salim & Bekiros, Stelios & Salvi, Antonio, 2018. "Long-range memory, distributional variation and randomness of bitcoin volatility," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 43-48.
    49. Nick James & Max Menzies, 2023. "An exploration of the mathematical structure and behavioural biases of 21st century financial crises," Papers 2307.15402, arXiv.org, revised Sep 2023.
    50. Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
    51. Josselin Garnier & Knut Solna, 2018. "Chaos and Order in the Bitcoin Market," Papers 1809.08403, arXiv.org, revised Apr 2019.
    52. Anguiano-Gijón, Carlos Alberto & Muñoz-Vázquez, Aldo Jonathan & Sánchez-Torres, Juan Diego & Romero-Galván, Gerardo & Martínez-Reyes, Fernando, 2019. "On predefined-time synchronisation of chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 172-178.
    53. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    54. Nagy, Balint Zsolt & Benedek, Botond, 2021. "Higher co-moments and adjusted Sharpe ratios for cryptocurrencies," Finance Research Letters, Elsevier, vol. 39(C).
    55. Altan, Aytaç & Karasu, Seçkin & Bekiros, Stelios, 2019. "Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 325-336.
    56. Kumar, Anoop S. & Anandarao, S., 2019. "Volatility spillover in crypto-currency markets: Some evidences from GARCH and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 448-458.
    57. Zhang, Rui & Jia, Cairang & Wang, Jian, 2022. "Text emotion classification system based on multifractal methods," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    58. Lahmiri, Salim & Bekiros, Stelios, 2019. "Cryptocurrency forecasting with deep learning chaotic neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 35-40.
    59. Kristjanpoller, Werner & Bouri, Elie, 2019. "Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1057-1071.
    60. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Exploring disorder and complexity in the cryptocurrency space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 548-556.
    61. Beatriz Vaz de Melo Mendes & André Fluminense Carneiro, 2020. "A Comprehensive Statistical Analysis of the Six Major Crypto-Currencies from August 2015 through June 2020," JRFM, MDPI, vol. 13(9), pages 1-21, August.
    62. James, Nick & Menzies, Max & Chin, Kevin, 2022. "Economic state classification and portfolio optimisation with application to stagflationary environments," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    63. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2018. "Nonextensive triplets in cryptocurrency exchanges," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1069-1074.
    64. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    65. Jin-Bom Han & Sun-Hak Kim & Myong-Hun Jang & Kum-Sun Ri, 2020. "Using Genetic Algorithm and NARX Neural Network to Forecast Daily Bitcoin Price," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 337-353, August.
    66. Wang, Jian & Shao, Wei & Ma, Chenmin & Chen, Wenbing & Kim, Junseok, 2021. "Co-movements between Shanghai Composite Index and some fund sectors in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    67. Cristiana Vaz & Rui Pascoal & Helder Sebastião, 2021. "Price Appreciation and Roughness Duality in Bitcoin: A Multifractal Analysis," Mathematics, MDPI, vol. 9(17), pages 1-18, August.
    68. ORĂȘTEAN Ramona & MĂRGINEAN Silvia Cristina & SAVA Raluca, 2019. "Bitcoin In The Scientific Literature – A Bibliometric Study," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(3), pages 160-174, December.
    69. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.
    70. Chuxuan Jiang & Priya Dev & Ross A. Maller, 2020. "A Hypothesis Test Method for Detecting Multifractal Scaling, Applied to Bitcoin Prices," JRFM, MDPI, vol. 13(5), pages 1-21, May.
    71. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Analysis of the impact of COVID-19 on the correlations between crude oil and agricultural futures," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    72. Nick James & Max Menzies, 2021. "Efficiency of communities and financial markets during the 2020 pandemic," Papers 2104.02318, arXiv.org, revised Jul 2021.
    73. Derick Quintino & Jessica Campoli & Heloisa Burnquist & Paulo Ferreira, 2020. "Efficiency of the Brazilian Bitcoin: A DFA Approach," IJFS, MDPI, vol. 8(2), pages 1-9, April.
    74. Nick James & Max Menzies, 2021. "Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time," Papers 2107.13926, arXiv.org, revised Dec 2021.
    75. Fang, Wen & Tian, Shaolin & Wang, Jun, 2018. "Multiscale fluctuations and complexity synchronization of Bitcoin in China and US markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 109-120.
    76. Esfandiar Maasoumi & Xi Wu, 2021. "Contrasting Cryptocurrencies with Other Assets: Full Distributions and the COVID Impact," JRFM, MDPI, vol. 14(9), pages 1-15, September.
    77. Liu, Siyao & Fang, Wei & Gao, Xiangyun & Wang, Ze & An, Feng & Wen, Shaobo, 2020. "Self-similar behaviors in the crude oil market," Energy, Elsevier, vol. 211(C).
    78. Garnier, Josselin & Solna, Knut, 2019. "Chaos and order in the bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 708-721.
    79. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Multifractal behavior of price and volume changes in the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 54-61.
    80. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.

  83. Stelios Bekiros & Bo Sjö & Richard J. Sweeney, 2018. "Pitfalls In Cross‐Section Studies With Integrated Regressors: A Survey And New Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1045-1073, September.

    Cited by:

    1. Herzer, Dierk, 2020. "Semi-endogenous versus Schumpeterian growth models: a critical review of the literature and new evidence," MPRA Paper 98022, University Library of Munich, Germany.

  84. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Rehman, Mobeen Ur, 2018. "Risk transmitters and receivers in global currency markets," Finance Research Letters, Elsevier, vol. 25(C), pages 1-9.
    See citations under working paper version above.
  85. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2018. "Forecasting US GNP growth: The role of uncertainty," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 541-559, August.
    See citations under working paper version above.
  86. Stelios Bekiros & Shawkat Hammoudeh & Rania Jammazi & Duc Khuong Nguyen, 2018. "Sovereign bond market dependencies and crisis transmission around the eurozone debt crisis: a dynamic copula approach," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5031-5049, October.
    See citations under working paper version above.
  87. Lahmiri, Salim & Bekiros, Stelios & Avdoulas, Christos, 2018. "Time-dependent complexity measurement of causality in international equity markets: A spatial approach," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 215-219.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    2. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    3. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Multifractal detrended cross-correlation analysis between respiratory diseases and haze in South Korea," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    4. 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.
    5. Xavier Brouty & Matthieu Garcin, 2022. "A statistical test of market efficiency based on information theory," Papers 2208.11976, arXiv.org.
    6. Matthieu Garcin, 2023. "Complexity measure, kernel density estimation, bandwidth selection, and the efficient market hypothesis," Papers 2305.13123, arXiv.org.
    7. Zhang, Bo & Wang, Guochao & Wang, Yiduan & Zhang, Wei & Wang, Jun, 2019. "Multiscale statistical behaviors for Ising financial dynamics with continuum percolation jump," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1012-1025.
    8. Xavier Brouty & Matthieu Garcin, 2022. "A statistical test of market efficiency based on information theory," Working Papers hal-03760478, HAL.
    9. Brouty, Xavier & Garcin, Matthieu, 2024. "Fractal properties, information theory, and market efficiency," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    10. Mirza, Fuat Kaan & Baykaş, Tunçer & Hekimoğlu, Mustafa & Pekcan, Önder & Tunçay, Gönül Paçacı, 2024. "Decoding compositional complexity: Identifying composers using a model fusion-based approach with nonlinear signal processing and chaotic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).

  88. Lahmiri, Salim & Bekiros, Stelios, 2018. "Time-varying self-similarity in alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 1-5.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Lahmiri, Salim & Bekiros, Stelios, 2019. "Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 334-341.
    3. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    4. Wang, Zhuo & Shang, Pengjian, 2021. "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    5. Rehman, Mobeen Ur & Asghar, Nadia & Kang, Sang Hoon, 2020. "Do Islamic indices provide diversification to bitcoin? A time-varying copulas and value at risk application," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. Zhang, Bo & Wang, Guochao & Wang, Yiduan & Zhang, Wei & Wang, Jun, 2019. "Multiscale statistical behaviors for Ising financial dynamics with continuum percolation jump," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1012-1025.
    7. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.

  89. Bekiros Stelios & Muzaffar Ahmed T. & Uddin Gazi S. & Vidal-García Javier, 2017. "Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-12, June.

    Cited by:

    1. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    2. Silvio John, Camilleri & Nicolanne, Scicluna & Ye, Bai, 2019. "Do Stock Markets Lead or Lag Macroeconomic Variables? Evidence from Select European Countries," MPRA Paper 95299, University Library of Munich, Germany.

  90. Mehmet Balcilar & Stelios Bekiros & Rangan Gupta, 2017. "The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method," Empirical Economics, Springer, vol. 53(3), pages 879-889, November.
    See citations under working paper version above.
  91. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.

    Cited by:

    1. D'Arcangelis, Anna Maria & Rotundo, Giulia, 2021. "Herding in mutual funds: A complex network approach," Journal of Business Research, Elsevier, vol. 129(C), pages 679-686.
    2. Kamal, Javed Bin & Wohar, Mark, 2023. "Heterogenous responses of stock markets to covid related news and sentiments: Evidence from the 1st year of pandemic," International Economics, Elsevier, vol. 173(C), pages 68-85.
    3. Wang, Hailong & Hu, Duni, 2021. "Heterogeneous beliefs with herding behaviors and asset pricing in two goods world," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. SENARATHNE W Chamil & JIANGUO Wei, 2018. "Do Investors Mimic Trading Strategies Of Foreign Investors Or The Market: Implications For Capital Asset Pricing," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(3), pages 171-205, December.
    5. Cagliesi, Gabriella & Guidi, Francesco, 2021. "A three-tiered nested analytical approach to financial integration: The case of emerging and frontier equity markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
    6. Perry Sadorsky & Irene Henriques, 2024. "Time and frequency dynamics between NFT coins and economic uncertainty," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.
    7. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    8. Zeeshan Ahmed & Shahid Rasool & Qasim Saleem & Mubashir Ali Khan & Shamsa Kanwal, 2022. "Mediating Role of Risk Perception Between Behavioral Biases and Investor’s Investment Decisions," SAGE Open, , vol. 12(2), pages 21582440221, May.
    9. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    10. Ray Saadaoui Mallek & Mohamed Albaity & Mahfuzur Rahman, 2025. "Economic freedom, economic sustainability, and herding behavior: Does the ubiquity of information communication technology matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-29, December.
    11. Gimeno, Ruth & Andreu, Laura & Sarto, José Luis, 2022. "Fund trading divergence and performance contribution," International Review of Financial Analysis, Elsevier, vol. 83(C).
    12. Ping Lu & Zhihong Li & Jianhui Liu & Yunxuan Wang, 2021. "Do the Securities Analysts Play the Role of Information Competition or Information Supplement? Empirical Analysis Based on Investor Sentiment," SAGE Open, , vol. 11(4), pages 21582440211, December.
    13. Shaikh, Imlak, 2017. "The 2016 U.S. presidential election and the Stock, FX and VIX markets," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 546-563.
    14. Ma, Yu & Qian, Wenyu & Luan, Zhiqian, 2021. "Could increasing price limits reduce up limit herding? Evidence from China's capital market reform," Finance Research Letters, Elsevier, vol. 42(C).
    15. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    16. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    17. Liu, Jia & Fu, Pengju & Lin, Chunyan, 2023. "Rule improvements and irrational characteristics of herd behaviour–The effects of SMT policy," Finance Research Letters, Elsevier, vol. 56(C).
    18. Duygun, Meryem & Tunaru, Radu & Vioto, Davide, 2021. "Herding by corporates in the US and the Eurozone through different market conditions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    19. Costa, Filipe & Fortuna, Natércia & Lobão, Júlio, 2024. "Herding states and stock market returns," Research in International Business and Finance, Elsevier, vol. 68(C).
    20. Suresh G., 2024. "Impact of Financial Literacy and Behavioural Biases on Investment Decision-making," FIIB Business Review, , vol. 13(1), pages 72-86, January.
    21. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    22. Wen-Juan Xu & Li-Xin Zhong, 2022. "Market impact shapes competitive advantage of investment strategies in financial markets," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-23, February.
    23. Enoksen, F.A. & Landsnes, Ch.J. & Lučivjanská, K. & Molnár, P., 2020. "Understanding risk of bubbles in cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 129-144.
    24. Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    25. Junkai Wang & Robert Hudson, 2024. "Better ways to test for herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 790-818, January.
    26. Bastías, Jaime & Ruiz, José L., 2022. "Equity fire sales and herding behavior in pension funds," Research in International Business and Finance, Elsevier, vol. 62(C).
    27. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2020. "Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    28. Ooi Kok Loang & Zamri Ahmad, 2024. "Does Volatility Cause Herding in Malaysian Stock Market? Evidence from Quantile Regression Analysis," Millennial Asia, , vol. 15(2), pages 197-215, June.
    29. Paramita Mukherjee & Sweta Tiwari, 2022. "Trading Behaviour of Foreign Institutional Investors: Evidence from Indian Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 605-629, December.
    30. Taewoo You, 2025. "Confirmation bias and herding behavior across the housing markets," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    31. Guangxi Cao & Meijun Ling & Jingwen Wei & Chen Chen, 2025. "Dynamic Market Behavior and Price Prediction in Cryptocurrency: An Analysis Based on Asymmetric Herding Effects and LSTM," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3325-3360, June.
    32. Riadh El Abed & Zouheir Mighri, 2021. "Nonlinear Cointegration and Asymmetric Adjustement between Economic policy uncertainty and Gold price: Evidence from the United States," Economics Bulletin, AccessEcon, vol. 41(3), pages 1666-1680.
    33. Wang, Hu & Li, Shouwei & Ma, Yuyin, 2021. "Herding in Open-end Funds: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    34. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    35. Jiang, Shanshan & Fan, Hong, 2018. "Credit risk contagion coupling with sentiment contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 186-202.
    36. Yensen Ni & Min-Yuh Day & Paoyu Huang, 2020. "Trading stocks following sharp movements in the USDX, GBP/USD, and USD/CNY," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    37. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    38. Liu, Shican & Li, Qing & Fan, Siqi, 2025. "The impact of volatility regime dynamics on option pricing," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    39. Syed Riaz Mahmood Ali, 2022. "Herding in different states and terms: evidence from the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 322-336, July.
    40. Wang, Hu & Li, Shouwei & Ma, Yuyin & Jiang, Shuyang, 2022. "Does investor sentiment affect fund crashes? Evidence from Chinese open-end funds," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    41. Vijay Kumar Shrotryia & Himanshi Kalra, 2021. "Analysis of Sectoral Herding through Quantile Regression: A Study of S&P BSE 500 Stocks," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(1), pages 1-16, June.
    42. Qureshi, Fiza & Kutan, Ali M. & Ghafoor, Abdul & Hussain Khan, Habib & Qureshi, Zeeshan, 2019. "Dynamics of mutual funds and stock markets in Asian developing economies," Journal of Asian Economics, Elsevier, vol. 65(C).
    43. Muskan Sachdeva & Ritu Lehal & Sanjay Gupta & Aashish Garg, 2021. "What make investors herd while investing in the Indian stock market? A hybrid approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(1), pages 19-37, September.
    44. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

  92. Bekiros, Stelios & Loukeris, Nikolaos & Eleftheriadis, Iordanis, 2017. "Portfolio Optimization With Investor Utility Preference of Higher-Order Moments: A Behavioral Approach," Review of Behavioral Economics, now publishers, vol. 4(2), pages 83-106, September.

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    1. Horobet, Alexandra & Boubaker, Sabri & Belascu, Lucian & Negreanu, Cristina Carmencita & Dinca, Zeno, 2024. "Technology-driven advancements: Mapping the landscape of algorithmic trading literature," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    2. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & He, Yun-Xin & Qiu, Tian & Ren, Fei & Shi, Yong-Dong & Zhong, Chen-Yang, 2020. "Multiple learning mechanisms promote cooperation in public goods games with project selection," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    3. Alexandra Horobet & Sabri Boubaker & Lucian Belascu & Cristina Carmencita Negreanu & Zeno Dinca, 2024. "Technology-driven advancements: Mapping the landscape of algorithmic trading literature," Post-Print hal-04990283, HAL.

  93. Bekiros, Stelios & Nguyen, Duc Khuong & Sandoval Junior, Leonidas & Uddin, Gazi Salah, 2017. "Information diffusion, cluster formation and entropy-based network dynamics in equity and commodity markets," European Journal of Operational Research, Elsevier, vol. 256(3), pages 945-961.
    See citations under working paper version above.
  94. Lahmiri, Salim & Uddin, Gazi Salah & Bekiros, Stelios, 2017. "Clustering of short and long-term co-movements in international financial and commodity markets in wavelet domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 947-955.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.
    2. Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Working Papers 19/092, European Xtramile Centre of African Studies (EXCAS).
    3. Zhang, Yali & Wang, Jun, 2019. "Linkage influence of energy market on financial market by multiscale complexity synchronization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 254-266.
    4. Ghazani, Majid Mirzaee & Khosravi, Reza, 2020. "Multifractal detrended cross-correlation analysis on benchmark cryptocurrencies and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    5. Lahmiri, Salim & Bekiros, Stelios, 2020. "The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    6. Lahmiri, Salim & Bekiros, Stelios, 2020. "Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    7. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    8. Mensi, Walid & Aslan, Aylin & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Time-frequency spillovers and connectedness between precious metals, oil futures and financial markets: Hedge and safe haven implications," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 219-232.
    9. Zhang, Xin & Zhu, Yingming & Yang, Liansheng, 2018. "Multifractal detrended cross-correlations between Chinese stock market and three stock markets in The Belt and Road Initiative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 105-115.
    10. Gülin Vardar & Yener Coşkun & Tezer Yelkenci, 2018. "Shock transmission and volatility spillover in stock and commodity markets: evidence from advanced and emerging markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 231-288, August.

  95. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2017. "The asymmetric relationship between returns and implied volatility: Evidence from global stock markets," Journal of Financial Stability, Elsevier, vol. 30(C), pages 156-174.

    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. Jupeng Li & Xiaoli Yu & Xingguo Luo, 2019. "Volatility index and the return–volatility relation: Intraday evidence from Chinese options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1348-1359, November.
    3. Xiao, Jihong & Wang, Yudong & Wen, Danyan, 2023. "The predictive effect of risk aversion on oil returns under different market conditions," Energy Economics, Elsevier, vol. 126(C).
    4. Choijil, Enkhbayar & Méndez, Christian Espinosa & Wong, Wing-Keung & Vieito, João Paulo & Batmunkh, Munkh-Ulzii, 2022. "Thirty years of herd behavior in financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    5. Dinesh Gajurel & Akhila Chawla, 2022. "International Information Spillovers and Asymmetric Volatility in South Asian Stock Markets," JRFM, MDPI, vol. 15(10), pages 1-18, October.
    6. Xiao, Jihong & Hu, Chunyan & Ouyang, Guangda & Wen, Fenghua, 2019. "Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 80(C), pages 297-309.
    7. Debojyoti Das & Anupam Dutta & Rabin K. Jana & Indranil Ghosh, 2023. "The asymmetric impact of oil price uncertainty on emerging market financial stress: A quantile regression approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4299-4323, October.
    8. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2018. "Risk perception in financial markets: On the flip side," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 184-206.
    9. Shekar Bose & Hafizur Rahman, 2022. "Are News Effects Necessarily Asymmetric? Evidence from Bangladesh Stock Market," SAGE Open, , vol. 12(4), pages 21582440221, October.
    10. Sanjay Sehgal & Sakshi Saini & Florent Deisting, 2019. "Examining Dynamic Interdependencies Among Major Global Financial Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 23(1-2), pages 103-139, March - J.
    11. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    12. Múnera, Daimer J. & Agudelo, Diego A., 2022. "Who moved my liquidity? Liquidity evaporation in emerging markets in periods of financial uncertainty," Journal of International Money and Finance, Elsevier, vol. 129(C).
    13. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    14. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    15. 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.
    16. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    17. Cheuathonghua, Massaporn & Padungsaksawasdi, Chaiyuth, 2024. "The volume-implied volatility relation in financial markets: A behavioral explanation," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    18. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    19. Giovanni Campisi & Silvia Muzzioli, 2021. "Designing volatility indices for Austria, Finland and Spain," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 369-455, September.
    20. Hashem Zarafat & Sascha Liebhardt & Mustafa Hakan Eratalay, 2022. "Do ESG Ratings Reduce the Asymmetry Behavior in Volatility?," JRFM, MDPI, vol. 15(8), pages 1-32, July.
    21. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.
    22. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

  96. Stelios Bekiros & Gazi Salah Uddin, 2017. "Extreme Dependence under Uncertainty: an application to Stock, Currency and Oil Markets," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 155-162, March.

    Cited by:

    1. Naqvi, Bushra & Mirza, Nawazish & Umar, Muhammad & Rizvi, Syed Kumail Abbas, 2023. "Shanghai crude oil futures: Returns Independence, volatility asymmetry, and hedging potential," Energy Economics, Elsevier, vol. 128(C).
    2. Stavros Degiannakis & George Filis, 2019. "Forecasting European economic policy uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 94-114, February.
    3. Mokni, Khaled & Al-Shboul, Mohammed & Assaf, Ata, 2021. "Economic policy uncertainty and dynamic spillover among precious metals under market conditions: Does COVID-19 have any effects?," Resources Policy, Elsevier, vol. 74(C).
    4. Zheng Shi & Dongmin Kong, 2021. "Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(4), pages 1-4.
    5. Yu, Xiaoling & Huang, Yirong, 2021. "The impact of economic policy uncertainty on stock volatility: Evidence from GARCH–MIDAS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    6. Golab, Anna & Bannigidadmath, Deepa & Pham, Thach Ngoc & Thuraisamy, Kannan, 2022. "Economic policy uncertainty and industry return predictability – Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 433-447.
    7. Gupta, Rangan & Yoon, Seong-Min, 2018. "OPEC news and predictability of oil futures returns and volatility: Evidence from a nonparametric causality-in-quantiles approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 206-214.
    8. Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
    9. Zheng Shi & Dongmin Kong, 2021. "Oil Price-Stock Market Nexus During the COVID-19 Pandemic - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(4), pages 1-4.
    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).

  97. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    See citations under working paper version above.
  98. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2020. "Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    2. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    3. Alves, P.R.L. & Duarte, L.G.S. & da Mota, L.A.C.P., 2018. "Detecting chaos and predicting in Dow Jones Index," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 232-238.
    4. Garnier, Josselin & Solna, Knut, 2019. "Emergence of turbulent epochs in oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 281-292.
    5. Zhang, Yali & Wang, Jun, 2019. "Linkage influence of energy market on financial market by multiscale complexity synchronization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 254-266.
    6. Lahmiri, Salim & Bekiros, Stelios & Avdoulas, Christos, 2018. "Time-dependent complexity measurement of causality in international equity markets: A spatial approach," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 215-219.
    7. Liu, Wei & Ma, Qianting & Liu, Xiaoxing, 2022. "Research on the dynamic evolution and its influencing factors of stock correlation network in the Chinese new energy market," Finance Research Letters, Elsevier, vol. 45(C).
    8. Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.
    9. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    10. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    11. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.
    12. Lahmiri, Salim & Bekiros, Stelios & Salvi, Antonio, 2018. "Long-range memory, distributional variation and randomness of bitcoin volatility," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 43-48.
    13. Josselin Garnier & Knut Solna, 2018. "Emergence of Turbulent Epochs in Oil Prices," Papers 1808.09382, arXiv.org, revised Apr 2019.
    14. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

  99. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.

    Cited by:

    1. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    2. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    3. Jiang, Yonghong & Jiang, Cheng & Nie, He & Mo, Bin, 2019. "The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses," Energy, Elsevier, vol. 166(C), pages 577-586.
    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. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    6. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Balli, Faruk & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency domain quantile coherence of emerging stock markets with gold and oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    7. Imhotep Paul Alagidede & Gideon Boako & Bo Sjo, 2021. "African equity markets’ exposure to oil and other commodities - implications for global portfolio diversification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(2), pages 288-315, April.
    8. Roman Mestre, 2023. "Stock profiling using time–frequency-varying systematic risk measure," Post-Print hal-04058285, HAL.
    9. MESTRE, Roman & Terraza, Michel, 2018. "Regression Forward avec fenêtres Tempo-Frequentielles roulantes par ondelettes discretes et continues -Une application à la Droite de Marché - [Forward Regression with Discrete and Continuous Wavel," MPRA Paper 89682, University Library of Munich, Germany.
    10. MESTRE, Roman & TERRAZA, Michel, 2017. "Estimation du Beta Tempo-fréquentiel de la Droite de Marché-Une approche par les ondelettes continues- [Time-Frequency varying Beta Estimation -A continuous wavelets approach-]," MPRA Paper 86335, University Library of Munich, Germany.
    11. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.
    12. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    13. Ryuta Sakemoto, 2022. "Multi‐scale inter‐temporal capital asset pricing model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4298-4317, October.
    14. Górska, Anna & Krawiec, Monika, 2016. "The Stability of Component Assets in Optimal Portfolios of Stock and Commodity Indexes," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 16(31), pages 1-11, December.
    15. Mensi, Walid & Hkiri, Besma & Al-Yahyaee, Khamis H. & Kang, Sang Hoon, 2018. "Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 74-102.
    16. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    17. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    18. 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.
    19. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
    20. Jin, Jiayu & Han, Liyan & Xu, Yang, 2022. "Does the SDR stabilize investing in commodities?," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 160-172.
    21. Lazzarino, Marco & Berrill, Jenny & Šević, Aleksandar, 2022. "The importance of distinguishing between precious and industrial metals when investing in mining stocks," Resources Policy, Elsevier, vol. 78(C).
    22. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
    23. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    24. Gagnon, Marie-Hélène & Manseau, Guillaume & Power, Gabriel J., 2020. "They're back! Post-financialization diversification benefits of commodities," International Review of Financial Analysis, Elsevier, vol. 71(C).
    25. Mohamed Awada & Roman Mestre, 2023. "Revisiting the Energy-Growth nexus with debt channel. A wavelet time-frequency analysis for a panel of Eurozone-OECD countries," Post-Print hal-05097857, HAL.
    26. McNevin, Bruce D. & Nix, Joan, 2018. "The beta heuristic from a time/frequency perspective: A wavelet analysis of the market risk of sectors," Economic Modelling, Elsevier, vol. 68(C), pages 570-585.
    27. Roman Mestre & Michel Terraza, 2018. "Time-Frequency varying beta estimation -a continuous wavelets approach-," Economics Bulletin, AccessEcon, vol. 38(4), pages 1796-1810.
    28. Bosch, David & Smimou, K., 2022. "Traders’ motivation and hedging pressure in commodity futures markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    29. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    30. Zhu, Huiming & Meng, Liang & Ge, Yajing & Hau, Liya, 2020. "Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    31. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
    32. Huifu Nong, 2024. "Connectedness and risk transmission of China’s stock and currency markets with global commodities," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-24, February.
    33. Bekiros Stelios & Muzaffar Ahmed T. & Uddin Gazi S. & Vidal-García Javier, 2017. "Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-12, June.
    34. Adewuyi, Adeolu O. & Awodumi, Olabanji B. & Abodunde, Temitope T., 2019. "Analysing the gold-stock nexus using VARMA-BEKK-AGARCH and Quantile regression models: New evidence from South Africa and Nigeria," Resources Policy, Elsevier, vol. 61(C), pages 348-362.
    35. Boako, Gideon & Alagidede, Imhotep Paul & Sjo, Bo & Uddin, Gazi Salah, 2020. "Commodities price cycles and their interdependence with equity markets," Energy Economics, Elsevier, vol. 91(C).
    36. Al Rababa’a, Abdel Razzaq & Alomari, Mohammad & McMillan, David, 2021. "Multiscale stock-bond correlation: Implications for risk management," Research in International Business and Finance, Elsevier, vol. 58(C).

  100. Stelios Bekiros & Rangan Gupta & Clement Kyei, 2016. "A non-linear approach for predicting stock returns and volatility with the use of investor sentiment indices," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2895-2898, July.
    See citations under working paper version above.
  101. Stelios D. Bekiros & Alessia Paccagnini, 2016. "Policy‐Oriented Macroeconomic Forecasting with Hybrid DGSE and Time‐Varying Parameter VAR Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(7), pages 613-632, November.
    See citations under working paper version above.
  102. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
    3. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
    4. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
    5. Ding, Qian & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2022. "Does political risk matter for gold market fluctuations? A structural VAR analysis," Research in International Business and Finance, Elsevier, vol. 60(C).
    6. Çınar, Gökhan & Uzmay, Ayse, 2017. "Does Fear (Vix Index) Incite Volatility In Food Prices?," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(2), April.
    7. Shahbaz, Muhammad & Sheikh, Umaid A. & Tabash, Mosab I. & Jiao, Zhilun, 2024. "Shock transmission between climate policy uncertainty, financial stress indicators, oil price uncertainty and industrial metal volatility: Identifying moderators, hedgers and shock transmitters," Energy Economics, Elsevier, vol. 136(C).
    8. Juan Ignacio Guzmán & Enrique Silva, 2018. "Copper price determination: fundamentals versus non-fundamentals," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 31(3), pages 283-300, October.
    9. Mokni, Khaled & Al-Shboul, Mohammed & Assaf, Ata, 2021. "Economic policy uncertainty and dynamic spillover among precious metals under market conditions: Does COVID-19 have any effects?," Resources Policy, Elsevier, vol. 74(C).
    10. Lucey, Brian & Yahya, Muhammad & Khoja, Layla & Uddin, Gazi Salah & Ahmed, Ali, 2024. "Interconnectedness and risk profile of hydrogen against major asset classes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    11. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    12. Ordu, Beyza Mina & Oran, Adil & Soytas, Ugur, 2018. "Is food financialized? Yes, but only when liquidity is abundant," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 82-96.
    13. I-Chun Tsai & Shu-Hen Chiang, 2018. "Risk Transfer among Housing Markets in Major Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    14. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    15. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    16. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    17. Cui, Jinxin & Maghyereh, Aktham & Goh, Mark & Zou, Huiwen, 2022. "Risk spillovers and time-varying links between international oil and China’s commodity futures markets: Fresh evidence from the higher-order moments," Energy, Elsevier, vol. 238(PB).
    18. Chen, Jinyu & Wang, Yilin & Ren, Xiaohang, 2023. "Asymmetric effect of financial stress on China’s precious metals market: Evidence from a quantile-on-quantile regression," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Lu, Ran & Xu, Wen & Zeng, Hongjun & Zhou, Xiangjing, 2023. "Volatility connectedness among the Indian equity and major commodity markets under the COVID-19 scenario," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1465-1481.
    20. French, Joseph J. & Shin, Seungho & Gurdgiev, Constantin & Naka, Atsuyuki, 2024. "Uncertainty and international fund flows: A cross-country analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
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    64. Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.
    65. Paolo Libenzio Brignoli & Alessandro Varacca & Cornelis Gardebroek & Paolo Sckokai, 2024. "Machine learning to predict grains futures prices," Agricultural Economics, International Association of Agricultural Economists, vol. 55(3), pages 479-497, May.
    66. Palazzi, Rafael Baptista & Figueiredo Pinto, Antonio Carlos & Klotzle, Marcelo Cabus & De Oliveira, Erick Meira, 2020. "Can we still blame index funds for the price movements in the agricultural commodities market?," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 84-93.
    67. Huang, MeiChi, 2024. "A greater crisis? Investigating MSA-level housing markets during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 71(C).
    68. Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
    69. Makkonen, Adam & Vallström, Daniel & Uddin, Gazi Salah & Rahman, Md Lutfur & Haddad, Michel Ferreira Cardia, 2021. "The effect of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns," Energy Economics, Elsevier, vol. 100(C).
    70. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    71. Paule-Vianez, Jessica & Alcázar-Blanco, Antonio & Coca-Pérez, José Luis, 2022. "Effect of Economic Policy Uncertainty on the investment in numismatic assets: Evidence for the Walking Liberty Half Dollar," Finance Research Letters, Elsevier, vol. 46(PB).
    72. Han Liu & Peng Yang & Haiyan Song & Doris Chenguang Wu, 2024. "Global and domestic economic policy uncertainties and tourism stock market: Evidence from China," Tourism Economics, , vol. 30(3), pages 567-591, May.
    73. 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).
    74. Ivanovski, Kris & Hailemariam, Abebe, 2022. "Time-varying geopolitical risk and oil prices," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 206-221.
    75. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    76. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    77. Pham, Linh & Kamal, Javed Bin, 2024. "Blessings or curse: How do media climate change concerns affect commodity tail risk spillovers?," Journal of Commodity Markets, Elsevier, vol. 34(C).
    78. Shi, Xunpeng & Shen, Yifan, 2021. "Macroeconomic uncertainty and natural gas prices: Revisiting the Asian Premium," Energy Economics, Elsevier, vol. 94(C).
    79. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    80. Aviral Kumar Tiwari & Muhammad Ali Nasir & Muhammad Shahbaz, 2021. "Synchronisation of policy related uncertainty, financial stress and economic activity in the United States," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6406-6415, October.
    81. Yıldırım, Durmuş Çağrı & Cevik, Emrah Ismail & Esen, Ömer, 2020. "Time-varying volatility spillovers between oil prices and precious metal prices," Resources Policy, Elsevier, vol. 68(C).
    82. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    83. Zsuzsa R. Huszár & Balázs B. Kotró & Ruth S. K. Tan, 2023. "European equity markets volatility spillover: Destabilizing energy risk is the new normal," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 205-271, December.
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  104. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
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  105. Bekiros, Stelios & Gupta, Rangan & Kyei, Clement, 2016. "On economic uncertainty, stock market predictability and nonlinear spillover effects," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 184-191.
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  106. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.

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    2. Balcilar, Mehmet & Kutan, Ali M. & Yaya, Mehmet E., 2017. "Testing the dependency theory on small island economies: The case of Cyprus," Economic Modelling, Elsevier, vol. 61(C), pages 1-11.

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    2. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & He, Yun-Xin & Qiu, Tian & Ren, Fei & Shi, Yong-Dong & Zhong, Chen-Yang, 2020. "Multiple learning mechanisms promote cooperation in public goods games with project selection," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    3. Naderi Semiromi, Hamed & Lessmann, Stefan & Peters, Wiebke, 2020. "News will tell: Forecasting foreign exchange rates based on news story events in the economy calendar," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

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    2. Sleire, Anders D. & Støve, Bård & Otneim, Håkon & Berentsen, Geir Drage & Tjøstheim, Dag & Haugen, Sverre Hauso, 2022. "Portfolio allocation under asymmetric dependence in asset returns using local Gaussian correlations," Finance Research Letters, Elsevier, vol. 46(PB).
    3. Maziar Sahamkhadam & Andreas Stephan, 2023. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for global financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2139-2166, December.
    4. Syed Jawad Hussain Shahzad & Naveed Raza & David Roubaud & Jose Arreola Hernandez & Stelios Bekiros, 2019. "Gold as Safe Haven for G-7 Stocks and Bonds: A Revisit," Post-Print hal-02352004, HAL.
    5. Waqas Hanif & Jose Arreola Hernandez & Perry Sadorsky & Seong-Min Yoon, 2020. "Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?," Post-Print hal-02567429, HAL.
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    8. E. Allevi & L. Boffino & M. E. Giuli & G. Oggioni, 2019. "Analysis of long-term natural gas contracts with vine copulas in optimization portfolio problems," Annals of Operations Research, Springer, vol. 274(1), pages 1-37, March.
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    12. Maziar Sahamkhadam & Andreas Stephan, 2019. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for the financial crisis," Papers 1912.10328, arXiv.org.
    13. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Shahbaz, Muhammad & Kayani, Ghulam Mujtaba, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 104-127.
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    22. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
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    28. Mazin A.M. Al Janabi, 2021. "Is optimum always optimal? A revisit of the mean‐variance method under nonlinear measures of dependence and non‐normal liquidity constraints," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 387-415, April.
    29. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.

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    1. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Thuraisamy, Kannan & Westerlund, Joakim, 2016. "Price discovery and asset pricing," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 224-235.
    2. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    3. Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
    5. Bhattacherjee, Purba & Mishra, Sibanjan & Bouri, Elie & Wee, Jung Bum, 2024. "ESG, clean energy, and petroleum futures markets: Asymmetric return connectedness and hedging effectiveness," International Review of Economics & Finance, Elsevier, vol. 94(C).
    6. Simionescu, Mihaela & Schneider, Nicolas, 2023. "Monetary shocks and production network in the G7 countries," LSE Research Online Documents on Economics 123040, London School of Economics and Political Science, LSE Library.
    7. Lijuan Zhang & Neil Fargher, 2022. "Aggregate accounting earnings, special items and growth in gross domestic product: evidence from Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2467-2496, June.
    8. Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    9. Walid Mansour & Hechem Ajmi & Karima Saci, 2022. "Regulatory policies in the global Islamic banking sector in the outbreak of COVID-19 pandemic," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 265-287, September.
    10. Kaabia, Olfa & Abid, Ilyes & Mkaouar, Farid, 2016. "The dark side of the black gold shock onto Europe: One stock's joy is another stock's sorrow," Economic Modelling, Elsevier, vol. 58(C), pages 642-654.
    11. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    12. Lai, Hung-Cheng & Wang, Kuan-Min, 2014. "Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns," Economic Modelling, Elsevier, vol. 41(C), pages 156-165.

  115. Stelios Bekiros, 2014. "Timescale Analysis with an Entropy-Based Shift-Invariant Discrete Wavelet Transform," Computational Economics, Springer;Society for Computational Economics, vol. 44(2), pages 231-251, August.

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    1. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    2. Lahmiri, Salim & Bekiros, Stelios & Avdoulas, Christos, 2018. "Time-dependent complexity measurement of causality in international equity markets: A spatial approach," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 215-219.
    3. Qiuping Huang & Jiejun Huang & Xining Yang & Lemeng Ren & Cong Tang & Lixue Zhao, 2017. "Evaluating the Scale Effect of Soil Erosion Using Landscape Pattern Metrics and Information Entropy: A Case Study in the Danjiangkou Reservoir Area, China," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    4. Lahmiri, Salim & Uddin, Gazi Salah & Bekiros, Stelios, 2017. "Clustering of short and long-term co-movements in international financial and commodity markets in wavelet domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 947-955.
    5. Nikola Gradojevic, 2021. "Brexit and foreign exchange market expectations: Could it have been predicted?," Annals of Operations Research, Springer, vol. 297(1), pages 167-189, February.
    6. Heni Boubaker, 2016. "A Comparative Study of the Performance of Estimating Long-Memory Parameter Using Wavelet-Based Entropies," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 693-731, December.
    7. Mehmet Ali Balcı & Larissa M. Batrancea & Ömer Akgüller & Lucian Gaban & Mircea-Iosif Rus & Horia Tulai, 2022. "Fractality of Borsa Istanbul during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(14), pages 1-33, July.

  116. Bekiros, Stelios D., 2014. "Contagion, decoupling and the spillover effects of the US financial crisis: Evidence from the BRIC markets," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 58-69.

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    1. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    2. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    3. Stelios Bekiros & Shawkat Hammoudeh & Rania Jammazi & Duc Khuong Nguyen, 2018. "Sovereign bond market dependencies and crisis transmission around the eurozone debt crisis: a dynamic copula approach," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5031-5049, October.
    4. Tarciso Gouveia da Silva & Osmani Teixeira de Carvalho Guillén & George Augusto Noronha Morcerf & Andre de Melo Modenesi, 2020. "Effects of Monetary Policy News on Financial Assets: evidence from Brazil on a bivariate VAR-GARCH model (2006-17)," Working Papers Series 536, Central Bank of Brazil, Research Department.
    5. Cesario Mateus & Miramir Bagirov & Irina Mateus, 2024. "Return and volatility connectedness and net directional patterns in spillover transmissions: East and Southeast Asian equity markets," International Review of Finance, International Review of Finance Ltd., vol. 24(1), pages 83-103, March.
    6. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    7. Hasan Fehmi Baklaci & Tezer Yelkenci, 2022. "Cross-time-frequency analysis of volatility linkages in global currency markets: an extended framework," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 267-314, June.
    8. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz & Narod Erkol, 2016. "The Russian Stock Market during the Ukrainian Crisis: A Network Perspective," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 478-509, December.
    9. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    10. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Balli, Faruk & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency domain quantile coherence of emerging stock markets with gold and oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    11. Santiago Valcacer & Heber José de Moura & David Lopes & Vinicius Amorim, 2017. "Capital structure management differences in Latin American and US firms after 2008 crisis," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 22(42), pages 51-74.
    12. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    13. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    14. Ghulam Ghouse & Aribah Aslam & Muhammad Ishaq Bhatti, 2021. "Role of Islamic Banking during COVID-19 on Political and Financial Events: Application of Impulse Indicator Saturation," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    15. Islam, Raisul & Volkov, Vladimir, 2020. "Contagion or interdependence? Comparing signed and unsigned spillovers," Working Papers 2020-05, University of Tasmania, Tasmanian School of Business and Economics.
    16. Liu, Jianjian & Wang, Shuhan & Xiang, Lijin & Ma, Shiqun & Xiao, Zumian, 2024. "Unveiling hidden connections: Spillover among BRICS' cryptocurrency-implied exchange rate discounts and US financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    17. Kuik, Onno & Zhou, Fujin & Ciullo, Alessio & Brusselaers, Jan, 2022. "How vulnerable is Europe to severe climate-related natural disasters abroad? A dynamic CGE analysis of the international financial and economic impacts of a large hurricane in the southern USA," Conference papers 333438, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    18. Kae‐Yih Tzeng, 2023. "The ability of U.S. macroeconomic variables to predict Asian financial market returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3529-3551, October.
    19. Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    20. Ghulam Ghouse & Muhammad Ishaq Bhatti & Muhammad Hassam Shahid, 2022. "Impact of COVID-19, Political, and Financial Events on the Performance of Commercial Banking Sector," JRFM, MDPI, vol. 15(4), pages 1-18, April.
    21. Kocaarslan, Baris & Sari, Ramazan & Gormus, Alper & Soytas, Ugur, 2017. "Dynamic correlations between BRIC and U.S. stock markets: The asymmetric impact of volatility expectations in oil, gold and financial markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 41-56.
    22. Roni Bhowmik & Abbas Ghulam & Wang Shouyang, 2018. "Return and Volatility Spillovers Effects: Study of Asian Emerging Stock Markets," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 97-119, April.
    23. Eric Martial Etoundi Atenga & Mbodja Mougoué, 2021. "Return and volatility spillovers to African equity markets and their determinants," Empirical Economics, Springer, vol. 61(2), pages 883-918, August.
    24. Narayan, Seema & Doytch, Nadia & Nguyen, Tri Tung & Kluegel, Karl, 2016. "Trade of goods and services and risk sharing ability in international equity markets: Are these substitutes or complements?," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 485-503.
    25. Younis, Ijaz & Gupta, Himani & Du, Anna Min & Shah, Waheed Ullah & Hanif, Waqas, 2024. "Spillover dynamics in DeFi, G7 banks, and equity markets during global crises: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).
    26. Akinsomi, Omokolade & Coskun, Yener & Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "Is there convergence between the BRICS and International REIT Markets?," MPRA Paper 88756, University Library of Munich, Germany.
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    29. Yarovaya, Larisa & Lau, Marco Chi Keung, 2016. "Stock market comovements around the Global Financial Crisis: Evidence from the UK, BRICS and MIST markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 605-619.
    30. Bosupeng, Mpho, 2015. "The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers," MPRA Paper 77923, University Library of Munich, Germany, revised 2015.
    31. Monica Billio & Michael Donadelli & Antonio Paradiso & Max Riedel, 2015. "Measuring Financial Integration: Lessons from the Correlation," Working Papers 2015:23, Department of Economics, University of Venice "Ca' Foscari".
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    33. Mohamed El Hedi Arouri & Amine Lahiani & Duc Khuong Nguyen, 2013. "World gold prices and stock returns in China: insights for hedging and diversification strategies," Working Papers hal-00798038, HAL.
    34. Hkiri, Besma & Hammoudeh, Shawkat & Aloui, Chaker & Yarovaya, Larisa, 2017. "Are Islamic indexes a safe haven for investors? An analysis of total, directional and net volatility spillovers between conventional and Islamic indexes and importance of crisis periods," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 124-150.
    35. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
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    37. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    38. Florackis, Chris & Kanas, Angelos & Kostakis, Alexandros & Sainani, Sushil, 2020. "Idiosyncratic risk, risk-taking incentives and the relation between managerial ownership and firm value," European Journal of Operational Research, Elsevier, vol. 283(2), pages 748-766.
    39. Hussain Shahzad, Syed Jawad & Raza, Naveed & Shahbaz, Muhammad & Ali, Azwadi, 2017. "Dependence of stock markets with gold and bonds under bullish and bearish market states," Resources Policy, Elsevier, vol. 52(C), pages 308-319.
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    41. Noureddine Benlagha & Slim Mseddi, 2019. "Return and volatility spillovers in the presence of structural breaks: evidence from GCC Islamic and conventional banks," Journal of Asset Management, Palgrave Macmillan, vol. 20(1), pages 72-90, February.
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    43. Diego A. Agudelo & Marcela Guti�rrez & Laura Cardona, 2015. "Volatility transmission between US and Latin American Stock Markets: testing the decoupling hypothesis," Documentos de Trabajo de Valor Público 14252, Universidad EAFIT.
    44. Jiang, Hai & Tang, Shenfeng & Li, Lifang & Xu, Fangming & Di, Qian, 2022. "Re-examining the Contagion Channels of Global Financial Crises: Evidence from the Twelve Years since the US Subprime Crisis," Research in International Business and Finance, Elsevier, vol. 60(C).
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    53. Hongjun Zeng & Ran Lu & Abdullahi D. Ahmed, 2023. "Dynamic dependencies and return connectedness among stock, gold and Bitcoin markets: Evidence from South Asia and China," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 49-87, March.
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  117. Bekiros, Stelios D., 2014. "Exchange rates and fundamentals: Co-movement, long-run relationships and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 117-134.
    See citations under working paper version above.
  118. Bekiros, Stelios, 2014. "Nonlinear causality testing with stepwise multivariate filtering: Evidence from stock and currency markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 336-348.

    Cited by:

    1. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    2. I-Chun Tsai, 2022. "The connectedness between Hong Kong and China real estate markets: spillover effect and information transmission," Empirical Economics, Springer, vol. 63(1), pages 287-311, July.
    3. Jing, Zhongbo, 2015. "On the relation between currency and banking crises in developing countries, 1980–2010," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 267-291.
    4. Jian Ni & Yue Xu, 2023. "Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 35-55, January.
    5. Liu, Yanxin & Li, Johnny Siu-Hang & Ng, Andrew Cheuk-Yin, 2015. "Option pricing under GARCH models with Hansen's skewed-t distributed innovations," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 108-125.
    6. Palazzi, Rafael Baptista & Figueiredo Pinto, Antonio Carlos & Klotzle, Marcelo Cabus & De Oliveira, Erick Meira, 2020. "Can we still blame index funds for the price movements in the agricultural commodities market?," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 84-93.
    7. Palazzi, Rafael Baptista & Júnior, Gerson de Souza Raimundo & Klotzle, Marcelo Cabus, 2021. "The dynamic relationship between bitcoin and the foreign exchange market: A nonlinear approach to test causality between bitcoin and currencies," Finance Research Letters, Elsevier, vol. 42(C).

  119. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    See citations under working paper version above.
  120. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    See citations under working paper version above.
  121. Bekiros, Stelios D., 2013. "Irrational fads, short-term memory emulation, and asset predictability," Review of Financial Economics, Elsevier, vol. 22(4), pages 213-219.

    Cited by:

    1. Abootaleb Shirvani & Svetlozar T. Rachev & Frank J. Fabozzi, 2019. "A Rational Finance Explanation of the Stock Predictability Puzzle," Papers 1911.02194, arXiv.org.
    2. Noureddine Benlagha, 2014. "Volatility Linkage of Nominal and Index-linked Bond Returns: A Multivariate BEKK-GARCH Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 49-60, November.
    3. Sofiane Aboura & Julien Chevallier, 2014. "Cross-Market Spillovers with 'Volatility Surprise'," Post-Print hal-01529770, HAL.
    4. Svetlozar Rachev & Stoyan Stoyanov & Stefan Mittnik & Frank J. Fabozzi & Abootaleb Shirvani, 2017. "Behavioral Finance -- Asset Prices Predictability, Equity Premium Puzzle, Volatility Puzzle: The Rational Finance Approach," Papers 1710.03211, arXiv.org, revised Feb 2020.
    5. Omer Berat Sezer & Mehmet Ugur Gudelek & Ahmet Murat Ozbayoglu, 2019. "Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019," Papers 1911.13288, arXiv.org.
    6. Sofiane Aboura & Julien Chevallier, 2014. "Cross-Market Spillovers with ‘Volatility Surprise’," Working Papers hal-04141310, HAL.

  122. Bekiros, Stelios & Marcellino, Massimiliano, 2013. "The multiscale causal dynamics of foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 282-305.
    See citations under working paper version above.
  123. Bekiros, Stelios D., 2010. "Heterogeneous trading strategies with adaptive fuzzy Actor-Critic reinforcement learning: A behavioral approach," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1153-1170, June.

    Cited by:

    1. Schnaubelt, Matthias & Fischer, Thomas G. & Krauss, Christopher, 2020. "Separating the signal from the noise – Financial machine learning for Twitter," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    2. Amir Mosavi & Pedram Ghamisi & Yaser Faghan & Puhong Duan, 2020. "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," Papers 2004.01509, arXiv.org.
    3. Fischer, Thomas G., 2018. "Reinforcement learning in financial markets - a survey," FAU Discussion Papers in Economics 12/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    4. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    5. Patrick Weber & K. Valerie Carl & Oliver Hinz, 2024. "Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature," Management Review Quarterly, Springer, vol. 74(2), pages 867-907, June.
    6. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & He, Yun-Xin & Qiu, Tian & Ren, Fei & Shi, Yong-Dong & Zhong, Chen-Yang, 2020. "Multiple learning mechanisms promote cooperation in public goods games with project selection," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    7. Chronopoulos, Dimitris K. & Papadimitriou, Fotios I. & Vlastakis, Nikolaos, 2018. "Information demand and stock return predictability," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 59-74.
    8. Amirhosein Mosavi & Yaser Faghan & Pedram Ghamisi & Puhong Duan & Sina Faizollahzadeh Ardabili & Ely Salwana & Shahab S. Band, 2020. "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," Mathematics, MDPI, vol. 8(10), pages 1-42, September.
    9. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
    10. Evgeny Ponomarev & Ivan Oseledets & Andrzej Cichocki, 2020. "Using Reinforcement Learning in the Algorithmic Trading Problem," Papers 2002.11523, arXiv.org.
    11. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    12. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    13. Stelios Bekiros & Massimiliano Marcellino, 2011. "The Multiscale Causal Dynamics of Foreign Exchange Markets," Economics Working Papers ECO2011/23, European University Institute.
    14. Kruthof, Garvin & Müller, Sebastian, 2025. "Can deep reinforcement learning beat 1N," Finance Research Letters, Elsevier, vol. 75(C).
    15. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    16. Marco Corazza & Francesco Bertoluzzo, 2014. "Q-Learning-based financial trading systems with applications," Working Papers 2014:15, Department of Economics, University of Venice "Ca' Foscari".
    17. Konstandinos Chourmouziadis & Dimitra K. Chourmouziadou & Prodromos D. Chatzoglou, 2021. "Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1183-1216, April.
    18. Stelios Bekiros, 2014. "Detecting nonlinear dependencies in foreign exchange markets: A multistep filtering approach," Working Papers 2014-182, Department of Research, Ipag Business School.
    19. Zihao Zhang & Stefan Zohren & Stephen Roberts, 2019. "Deep Reinforcement Learning for Trading," Papers 1911.10107, arXiv.org.

  124. Bekiros, Stelios D., 2010. "Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets," European Journal of Operational Research, Elsevier, vol. 202(1), pages 285-293, April.

    Cited by:

    1. Derhami, Shahab & Smith, Alice E., 2017. "An integer programming approach for fuzzy rule-based classification systems," European Journal of Operational Research, Elsevier, vol. 256(3), pages 924-934.
    2. Al-Ebbini, Lina & Oztekin, Asil & Chen, Yao, 2016. "FLAS: Fuzzy lung allocation system for US-based transplantations," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1051-1065.
    3. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    4. Flori, Andrea & Regoli, Daniele, 2021. "Revealing Pairs-trading opportunities with long short-term memory networks," European Journal of Operational Research, Elsevier, vol. 295(2), pages 772-791.
    5. Xiao-Yang Liu & Hongyang Yang & Jiechao Gao & Christina Dan Wang, 2021. "FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance," Papers 2111.09395, arXiv.org.
    6. Stelios Bekiros & Massimiliano Marcellino, 2011. "The Multiscale Causal Dynamics of Foreign Exchange Markets," Economics Working Papers ECO2011/23, European University Institute.
    7. Sermpinis, Georgios & Theofilatos, Konstantinos & Karathanasopoulos, Andreas & Georgopoulos, Efstratios F. & Dunis, Christian, 2013. "Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization," European Journal of Operational Research, Elsevier, vol. 225(3), pages 528-540.
    8. Xiao-Yang Liu & Hongyang Yang & Qian Chen & Runjia Zhang & Liuqing Yang & Bowen Xiao & Christina Dan Wang, 2020. "FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance," Papers 2011.09607, arXiv.org, revised Mar 2022.
    9. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas P�rez-I�igo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi.
    10. Jie Zou & Jiashu Lou & Baohua Wang & Sixue Liu, 2022. "A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks," Papers 2212.02721, arXiv.org, revised Jul 2023.
    11. Xiao, Haohan & Xu, Meng, 2022. "Modelling bidding behaviors in shared parking auctions considering anticipated regrets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 88-106.
    12. Konstandinos Chourmouziadis & Dimitra K. Chourmouziadou & Prodromos D. Chatzoglou, 2021. "Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1183-1216, April.
    13. Stelios Bekiros, 2014. "Detecting nonlinear dependencies in foreign exchange markets: A multistep filtering approach," Working Papers 2014-182, Department of Research, Ipag Business School.
    14. Xiao-Yang Liu & Zhuoran Xiong & Shan Zhong & Hongyang Yang & Anwar Walid, 2018. "Practical Deep Reinforcement Learning Approach for Stock Trading," Papers 1811.07522, arXiv.org, revised Jul 2022.

  125. Bekiros, Stelios D., 2009. "A robust algorithm for parameter estimation in smooth transition autoregressive models," Economics Letters, Elsevier, vol. 103(1), pages 36-38, April.

    Cited by:

    1. Chang, Bi-Juan & Hung, Mao-Wei, 2021. "Corporate debt and cash decisions: A nonlinear panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 15-37.
    2. Novella Maugeri, 2014. "Some Pitfalls in Smooth Transition Models Estimation: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 339-378, October.
    3. Christos Avdoulas & Stelios Bekiros & Sabri Boubaker, 2018. "Evolutionary-based return forecasting with nonlinear STAR models: evidence from the Eurozone peripheral stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 307-333, March.
    4. Christos Avdoulas & Stelios Bekiros, 2018. "Nonlinear Forecasting of Euro Area Industrial Production Using Evolutionary Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 521-530, August.

  126. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    See citations under working paper version above.
  127. S. D. Bekiros & D. A. Georgoutsos, 2008. "Direction-of-change forecasting using a volatility-based recurrent neural network," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 407-417.
    See citations under working paper version above.
  128. Stelios Bekiros & Dimitris Georgoutsos, 2008. "Non-linear dynamics in financial asset returns: the predictive power of the CBOE volatility index," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 397-408.

    Cited by:

    1. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    2. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    3. Dungey, Mardi & Milunovich, George & Thorp, Susan, 2010. "Unobservable shocks as carriers of contagion," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1008-1021, May.
    4. Luis H. R. Alvarez E. & Paavo Salminen, 2016. "Timing in the Presence of Directional Predictability: Optimal Stopping of Skew Brownian Motion," Papers 1608.04537, arXiv.org.
    5. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
    6. Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.

  129. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The nonlinear dynamic relationship of exchange rates: Parametric and nonparametric causality testing," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1641-1650, December.
    See citations under working paper version above.
  130. Bekiros, Stelios D. & Georgoutsos, Dimitris A., 2008. "The extreme-value dependence of Asia-Pacific equity markets," Journal of Multinational Financial Management, Elsevier, vol. 18(3), pages 197-208, July.

    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. Dungey, Mardi & Milunovich, George & Thorp, Susan, 2010. "Unobservable shocks as carriers of contagion," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1008-1021, May.
    3. Stelios Bekiros & Nikolaos Loukeris & Iordanis Eleftheriadis & Christos Avdoulas, 2019. "Tail-Related Risk Measurement and Forecasting in Equity Markets," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 783-816, February.
    4. Qian Chen & David E. Giles & Hui Feng, 2012. "The extreme-value dependence between the Chinese and other international stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 22(14), pages 1147-1160, July.
    5. Roman Matkovskyy, 2019. "Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries," Post-Print hal-02332090, HAL.
    6. 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.
    7. Liu, Wei-han, 2018. "Hidden Markov model analysis of extreme behaviors of foreign exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1007-1019.

  131. Stelios Bekiros, 2007. "A neurofuzzy model for stock market trading," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 53-57.

    Cited by:

    1. Ritika Chopra & Gagan Deep Sharma, 2021. "Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda," JRFM, MDPI, vol. 14(11), pages 1-34, November.
    2. 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.
    3. Aurthur Vimalachandran Thomas Jayachandran, 2022. "The financial crash of 2020 and the retail trader’s boon: a correlation between sentiment and technical analysis," SN Business & Economics, Springer, vol. 2(6), pages 1-8, June.

  132. Stelios Bekiros & Dimitris Georgoutsos, 2007. "Extreme returns and the contagion effect between the foreign exchange and the stock market: evidence from Cyprus," Applied Financial Economics, Taylor & Francis Journals, vol. 18(3), pages 239-254.

    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. Liu, Wei-han, 2016. "A re-examination of maturity effect of energy futures price from the perspective of stochastic volatility," Energy Economics, Elsevier, vol. 56(C), pages 351-362.
    3. Roman Matkovskyy, 2019. "Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries," Post-Print hal-02332090, HAL.
    4. Berger, Dave & Turtle, H.J., 2011. "Emerging market crises and US equity market returns," Global Finance Journal, Elsevier, vol. 22(1), pages 32-41.
    5. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.

  133. Bekiros, Stelios D. & Georgoutsos, Dimitris A., 2005. "Estimation of Value-at-Risk by extreme value and conventional methods: a comparative evaluation of their predictive performance," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 209-228, July.

    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. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2014. "Energy portfolio risk management using time-varying extreme value copula methods," Economic Modelling, Elsevier, vol. 38(C), pages 470-485.
    3. Sonia Benito Muela & Mª Ángeles Navarro, 2018. "Assessing the importance of the choice threshold in quantifying market risk under the POT method (EVT)," Documentos de Trabajo del ICAE 2018-20, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    5. Rossignolo, Adrian F. & Fethi, Meryem Duygun & Shaban, Mohamed, 2012. "Value-at-Risk models and Basel capital charges," Journal of Financial Stability, Elsevier, vol. 8(4), pages 303-319.
    6. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    7. Stelios Bekiros & Nikolaos Loukeris & Iordanis Eleftheriadis & Christos Avdoulas, 2019. "Tail-Related Risk Measurement and Forecasting in Equity Markets," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 783-816, February.
    8. Muteba Mwamba, John W. & Hammoudeh, Shawkat & Gupta, Rangan, 2017. "Financial tail risks in conventional and Islamic stock markets: A comparative analysis," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 60-82.
    9. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    10. Chuangchid, Kantaporn & Sriboonchitta, Songsak & Rahman, Sanzidur & Wiboonpongse, Aree, 2013. "Predicting Malaysian palm oil price using Extreme Value Theory," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(2), pages 1-9, January.
    11. Jón Daníelsson & Kevin James & Marcela Valenzuela & Ilknur Zer, 2014. "Model Risk of Risk Models," Finance and Economics Discussion Series 2014-34, Board of Governors of the Federal Reserve System (U.S.).
    12. Georgios Fatouros & Georgios Makridis & Dimitrios Kotios & John Soldatos & Michael Filippakis & Dimosthenis Kyriazis, 2023. "DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks," Digital Finance, Springer, vol. 5(1), pages 29-56, March.
    13. Muteba Mwamba, John & Mhlanga, Isaah, 2013. "Extreme conditional value at risk: a coherent scenario for risk management," MPRA Paper 64387, University Library of Munich, Germany.
    14. Araújo Santos, P. & Fraga Alves, M.I., 2013. "Forecasting Value-at-Risk with a duration-based POT method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 295-309.
    15. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    16. Sonia Benito & Carmen López-Martín & Mª Ángeles Navarro, 2023. "Assessing the importance of the choice threshold in quantifying market risk under the POT approach (EVT)," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-31, March.
    17. Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
    18. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2007. "Predictive Performance of Conditional Extreme Value Theory and Conventional Methods in Value at Risk Estimation," MPRA Paper 3963, University Library of Munich, Germany.
    19. Li, Longqing, 2017. "A Comparative Study of GARCH and EVT Model in Modeling Value-at-Risk," MPRA Paper 85645, University Library of Munich, Germany.
    20. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.
    21. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".

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