IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i1p16-d1027087.html
   My bibliography  Save this article

Islamic vs. Conventional Equity Markets: A Multifractal Cross-Correlation Analysis with Economic Policy Uncertainty

Author

Listed:
  • Faheem Aslam

    (Department of Management Sciences, COMSATS University, Park Road, Islamabad 45550, Pakistan)

  • Paulo Ferreira

    (VALORIZA—Research Center for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal
    Instituto Politécnico de Portalegre, 7300-110 Portalegre, Portugal
    CEFAGE-UE, IIFA, Universidade de Évora, Palácio do Vimioso, Largo Marquês de Marialva, 8, 7000-809 Évora, Portugal)

  • Haider Ali

    (Department of Management Sciences, COMSATS University, Park Road, Islamabad 45550, Pakistan)

  • Arifa

    (Department of Management Sciences, COMSATS University, Park Road, Islamabad 45550, Pakistan)

  • Márcia Oliveira

    (Instituto Politécnico de Portalegre, 7300-110 Portalegre, Portugal)

Abstract

There is ample evidence that Islamic stock markets perform differently from conventional stock markets, particularly when economic policy uncertainty (EPU) or any other uncertainty such as geopolitical uncertainty is present. Considering this context, this paper examines the US EPU’s cross-correlation with both conventional and Islamic stock markets from the perspective of multifractality. Daily stock market prices of five main countries are considered: US, Thailand, Indonesia, Pakistan, and India. Using the multifractal detrended cross-correlation analysis (MF-DCCA), we validate the existence of long-range cross-correlation between US EPU and all the stock markets considered, demonstrating that all pairs of US EPU have strong power law and multifractal characteristics. Furthermore, all pairs display varying levels of multifractal strength, with the US EPU and US conventional stock market exhibiting the strongest multifractal patterns. Additionally, a cross-correlation between US EPU and the different stock markets is found to be persistent. The results of this study are pertinent to the various market participants in both conventional and Islamic markets, particularly investors, who may be able to draw useful conclusions from them for purposes such as portfolio diversification.

Suggested Citation

  • Faheem Aslam & Paulo Ferreira & Haider Ali & Arifa & Márcia Oliveira, 2023. "Islamic vs. Conventional Equity Markets: A Multifractal Cross-Correlation Analysis with Economic Policy Uncertainty," Economies, MDPI, vol. 11(1), pages 1-18, January.
    • Handle: RePEc:gam:jecomi:v:11:y:2023:i:1:p:16-:d:1027087
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/1/16/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7099/11/1/16/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tang, Liang & Wan, Xiangyu, 2022. "Economic policy uncertainty and stock price informativeness," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    2. Chen Liu, 2021. "COVID-19 and the Energy Stock Market - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(3), pages 1-5.
    3. Aslam, Faheem & Zil-e-huma, & Bibi, Rashida & Ferreira, Paulo, 2022. "Cross-correlations between economic policy uncertainty and precious and industrial metals: A multifractal cross-correlation analysis," Resources Policy, Elsevier, vol. 75(C).
    4. Francisco J. Gomes & Laurence J. Kotlikoff & Luis M. Viceira, 2012. "The Excess Burden of Government Indecision," Tax Policy and the Economy, University of Chicago Press, vol. 26(1), pages 125-164.
    5. Peng-Fei Dai & Xiong Xiong & Zhifeng Liu & Toan Luu Duc Huynh & Jianjun Sun, 2021. "Preventing crash in stock market: The role of economic policy uncertainty during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
    6. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    7. Yao, Can-Zhong & Liu, Cheng & Ju, Wei-Jia, 2020. "Multifractal analysis of the WTI crude oil market, US stock market and EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    8. 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).
    9. Lyu, Yongjian & Tuo, Siwei & Wei, Yu & Yang, Mo, 2021. "Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility：New evidence," Resources Policy, Elsevier, vol. 70(C).
    10. Dohyun Pak & Sun-Yong Choi & Sameh S. Askar, 2022. "Economic Policy Uncertainty and Sectoral Trading Volume in the U.S. Stock Market: Evidence from the COVID-19 Crisis," Complexity, Hindawi, vol. 2022, pages 1-15, April.
    11. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    12. Nusair, Salah A. & Al-Khasawneh, Jamal A., 2022. "Impact of economic policy uncertainty on the stock markets of the G7 Countries:A nonlinear ARDL approach," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    13. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    14. Nancy Stokey, 2016. "Wait-and See: Investment Options under Policy Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 246-265, July.
    15. Tomiwa Sunday Adebayo & Seyi Saint Akadiri & Husam Rjoub, 2022. "On The Relationship Between Economic Policy Uncertainty, Geopolitical Risk And Stock Market Returns In South Korea: A Quantile Causality Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Alhomaidi, Asem, 2023. "How do sectoral Islamic equity markets react to geopolitical risk, economic policy uncertainty, and oil price shocks?," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    2. Selmi, Refk & Wohar, Mark & Deisting, Florent & Kasmaoui, Kamal, 2023. "Dynamic inflation hedging performance and downside risk: A comparison between Islamic and conventional stock indices," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 56-67.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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).
    4. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Ferreira, Paulo & Aslam, Faheem & Tabak, Benjamin Miranda, 2022. "Interplay multifractal dynamics among metal commodities and US-EPU," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    5. 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).
    6. Kundu, Srikanta & Paul, Amartya, 2022. "Effect of economic policy uncertainty on stock market return and volatility under heterogeneous market characteristics," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 597-612.
    7. 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.
    8. Simran, & Sharma, Anil Kumar, 2024. "Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 91-101.
    9. Omar, Ayman M.A. & Lambe, Brendan J & Wisniewski, Tomasz Piotr, 2021. "Perceptions of the threat to national security and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 504-522.
    10. Ralf Fendel & Nicola Mai & Oliver Mohr, 2019. "The Shape of Eurozone’s Uncertainty: Its Impact and Predictive Value on GDP," WHU Working Paper Series - Economics Group 19-01, WHU - Otto Beisheim School of Management.
    11. Mei, Dexiang & Zeng, Qing & Cao, Xiang & Diao, Xiaohua, 2019. "Uncertainty and oil volatility: New evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 155-163.
    12. Lyu, Yongjian & Yi, Heling & Hu, Yingyi & Yang, Mo, 2021. "Economic uncertainty shocks and China's commodity futures returns: A time-varying perspective," Resources Policy, Elsevier, vol. 70(C).
    13. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    14. Śmiech, Sławomir & Papież, Monika & Shahzad, Syed Jawad Hussain, 2020. "Spillover among financial, industrial and consumer uncertainties. The case of EU member states," International Review of Financial Analysis, Elsevier, vol. 70(C).
    15. Guan, Jialin & Xu, Huijuan & Huo, Da & Hua, Yechun & Wang, Yunfeng, 2021. "Economic policy uncertainty and corporate innovation: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    16. Lien, Donald & Sun, Yuchen & Zhang, Chengsi, 2021. "Uncertainty, confidence, and monetary policy in China," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1347-1358.
    17. Fedorova, Elena & Ledyaeva, Svetlana & Drogovoz, Pavel & Nevredinov, Alexandr, 2022. "Economic policy uncertainty and bankruptcy filings," International Review of Financial Analysis, Elsevier, vol. 82(C).
    18. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2024. "Spillover effects of US monetary policy on emerging markets amidst uncertainty," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    19. Kronen Dominik & Belke Ansgar, 2017. "The Impact of Policy Uncertainty on Macro Variables – An SVAR-Based Empirical Analysis for EU Countries," Review of Economics, De Gruyter, vol. 68(2), pages 93-116, August.
    20. Afees A. Salisu & Riza Demirer & Rangan Gupta, 2023. "Policy uncertainty and stock market volatility revisited: The predictive role of signal quality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2307-2321, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:11:y:2023:i:1:p:16-:d:1027087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

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