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A multifractal detrended fluctuation analysis of Islamic and conventional financial markets efficiency during the COVID-19 pandemic

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  • Raza, Syed Ali
  • Shah, Nida
  • Suleman, Muhammed Tahir

Abstract

This paper examines the efficiency of DJIM conventional and Islamic sectoral stock markets before and during the Covid-19 period. The study uses both sectoral stock markets' daily data from January 1, 2010, to August 1, 2022, and relies on the multifractal detrended fluctuation analysis (MF-DFA). Firstly, we find that the conventional and Islamic sectoral stock markets are multifractal in the short and long run. Secondly, conventional and Islamic sectoral stock markets are characterized by long-term memory features in small fluctuations. Thirdly, in terms of efficiency before the Covid-19 period, in the Islamic sectoral market, the healthcare sector is the most efficient in the short run, and the financial sector is the most efficient in the long run. During the Covid-19 period, in the conventional sectoral market, the financial sector was the most efficient in the short run, and the utility sector was the most efficient in the long run.

Suggested Citation

  • Raza, Syed Ali & Shah, Nida & Suleman, Muhammed Tahir, 2024. "A multifractal detrended fluctuation analysis of Islamic and conventional financial markets efficiency during the COVID-19 pandemic," International Economics, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:inteco:v:177:y:2024:i:c:s2110701723000756
    DOI: 10.1016/j.inteco.2023.100463
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    1. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan, 2019. "Stock market efficiency analysis using long spans of Data: A multifractal detrended fluctuation approach," Finance Research Letters, Elsevier, vol. 28(C), pages 398-411.
    2. Md. Mahmudul Alam & Haitian Wei & Abu N. M. Wahid, 2021. "COVID‐19 outbreak and sectoral performance of the Australian stock market: An event study analysis," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 482-495, September.
    3. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Sharma, Susan Sunila, 2019. "Does Islamic stock sensitivity to oil prices have economic significance?," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 497-512.
    4. Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
    5. Oświe¸cimka, P. & Kwapień, J. & Drożdż, S., 2005. "Multifractality in the stock market: price increments versus waiting times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 626-638.
    6. Shawkat Hammoudeh & Won Joong Kim & Soodabeh Sarafrazi, 2016. "Sources of Fluctuations in Islamic, U.S., EU, and Asia Equity Markets: The Roles of Economic Uncertainty, Interest Rates, and Stock Indexes," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(5), pages 1195-1209, May.
    7. Mensi, Walid & Tiwari, Aviral Kumar & Yoon, Seong-Min, 2017. "Global financial crisis and weak-form efficiency of Islamic sectoral stock markets: An MF-DFA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 135-146.
    8. Walid Mensi & Imran Yousaf & Xuan Vinh Vo & Sang Hoon Kang, 2022. "Multifractality during upside/downside trends in the MENA stock markets: the effects of the global financial crisis, oil crash and COVID-19 pandemic," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(10), pages 4408-4435, January.
    9. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    10. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    11. Wei-Xing Zhou, 2009. "The components of empirical multifractality in financial returns," Papers 0908.1089, arXiv.org, revised Oct 2009.
    12. Kenourgios, Dimitris & Naifar, Nader & Dimitriou, Dimitrios, 2016. "Islamic financial markets and global crises: Contagion or decoupling?," Economic Modelling, Elsevier, vol. 57(C), pages 36-46.
    13. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    14. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.
    15. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    16. 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).
    17. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    18. María de la O González & Francisco Jareño & Camalea El Haddouti, 2019. "Sector Portfolio Performance Comparison between Islamic and Conventional Stock Markets," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    19. Alam, Nafis & Arshad, Shaista & Rizvi, Syed Aun R., 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, Elsevier, vol. 31(C), pages 108-114.
    20. Lin, Boqiang & Su, Tong, 2020. "The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach," Energy Economics, Elsevier, vol. 88(C).
    21. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.
    22. Yuandong, Su & Khaskheli, Asadullah & Raza, Syed Ali & Yousufi, Sara Qamar, 2022. "How COVID-19 influences prices of oil and precious metals: Comparison between data extracted from online searching trends and actual events," Resources Policy, Elsevier, vol. 78(C).
    23. Fredj Jawadi & Nabila Jawadi & Abdoulkarim Idi Cheffou, 2015. "Are Islamic stock markets efficient? A time-series analysis," Applied Economics, Taylor & Francis Journals, vol. 47(16), pages 1686-1697, April.
    24. Di Matteo, T. & Aste, T. & Dacorogna, M.M., 2003. "Scaling behaviors in differently developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 183-188.
    25. Ning, Ye & Wang, Yiming & Su, Chi-wei, 2017. "How did China’s foreign exchange reform affect the efficiency of foreign exchange market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 219-226.
    26. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    27. Arshad, Shaista & Rizvi, Syed Aun R. & Ghani, Gairuzazmi Mat & Duasa, Jarita, 2016. "Investigating stock market efficiency: A look at OIC member countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 402-413.
    28. Syed Ali Raza & Nida Shah & Muhammad Tahir Suleman & Md Al Mamun, 2021. "A multifractal detrended fluctuation analysis of housing market: a role of financial crises in developed economies," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 15(5), pages 1145-1169, September.
    29. Cao, Guangxi & Cao, Jie & Xu, Longbing, 2013. "Asymmetric multifractal scaling behavior in the Chinese stock market: Based on asymmetric MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 797-807.
    30. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    31. Haddad, Hedi Ben & Mezghani, Imed & Al Dohaiman, Mohammed, 2020. "Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones Islamic stock market indices and global risk factors," Economic Systems, Elsevier, vol. 44(2).
    32. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
    33. Faheem Aslam & Francisca Nogueiro & Mariana Brasil & Paulo Ferreira & Khurram Shahzad Mughal & Beenish Bashir & Saima Latif, 2021. "The footprints of COVID-19 on Central Eastern European stock markets: an intraday analysis," Post-Communist Economies, Taylor & Francis Journals, vol. 33(6), pages 751-769, August.
    34. Faheem Aslam & Paulo Ferreira & Haider Ali & Sumera Kauser, 2022. "Herding behavior during the Covid-19 pandemic: a comparison between Asian and European stock markets based on intraday multifractality," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 333-359, June.
    35. Martin Hoesli & Richard Malle, 2021. "Commercial Real Estate Prices and Covid-19," Swiss Finance Institute Research Paper Series 21-08, Swiss Finance Institute.
    36. Ashraf, Badar Nadeem, 2020. "Stock markets’ reaction to COVID-19: Cases or fatalities?," Research in International Business and Finance, Elsevier, vol. 54(C).
    37. Mensi, Walid & Hamdi, Atef & Yoon, Seong-Min, 2018. "Modelling multifractality and efficiency of GCC stock markets using the MF-DFA approach: A comparative analysis of global, regional and Islamic markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1107-1116.
    38. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    39. Seng Kok & Gianluigi Giorgioni & Jason Laws, 2009. "Performance of Shariah-Compliant Indices in London and NY Stock Markets and their potential for diversification," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 2(3/4), pages 398-408.
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    More about this item

    Keywords

    DJIM islamic markets' efficiency; Covid-19 pandemic; MF-DFA technique;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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