IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i1p16-d1027087.html

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. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    2. 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.
    3. Francisco J. Gomes & Laurence J. Kotlikoff & Luis M. Viceira, 2012. "The Excess Burden of Government Indecision," NBER Chapters, in: Tax Policy and the Economy, Volume 26, pages 125-163, National Bureau of Economic Research, Inc.
    4. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    5. Tang, Liang & Wan, Xiangyu, 2022. "Economic policy uncertainty and stock price informativeness," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    6. 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).
    7. 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).
    8. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    9. 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).
    10. 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.
    11. Si, Deng-Kui & Wan, Shen & Li, Xiao-Lin & Kong, Dongmin, 2022. "Economic policy uncertainty and shadow banking: Firm-level evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
    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. 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.
    14. 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.
    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.
    16. 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).
    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. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    4. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    5. 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).
    6. 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).
    7. Sengupta, Shovon & Chakraborty, Tanujit & Singh, Sunny Kumar, 2025. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," International Journal of Forecasting, Elsevier, vol. 41(3), pages 953-981.
    8. Hassan Zada & Abdul Mansoor & Naveed Khan & Wing-Keung Wong & Adamu Jibir, 2026. "Monetary Policy Uncertainty and Stock Market Returns in Developed and Emerging Countries: Evidence from a Quantile-on-Quantile Approach," Advances in Decision Sciences, Asia University, Taiwan, vol. 30(3), pages 89-113, September.
    9. 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).
    10. Lambe, Brendan & Li, Zhiyong & Qin, Weiping, 2022. "Uncertain times and the insider perspective," International Review of Financial Analysis, Elsevier, vol. 81(C).
    11. 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.
    12. Simran, & Sharma, Anil Kumar, 2023. "Asymmetric impact of economic policy uncertainty on cryptocurrency market: Evidence from NARDL approach," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    13. Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2023. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Papers 2401.00249, arXiv.org, revised Jul 2024.
    14. Lee A. Smales, 2021. "Policy uncertainty in Australian financial markets," Australian Journal of Management, Australian School of Business, vol. 46(3), pages 523-547, August.
    15. Fei Su & Lili Zhai & Yunyan Zhou & Zixi Zhuang & Feifan Wang, 2024. "Risk contagion in financial markets: A systematic review using bibliometric methods," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 163-199, March.
    16. Hu, Lifang, 2025. "Maturity mismatch and disinvestment as transmission mechanisms: Linking economic policy uncertainty to firm performance," China Economic Review, Elsevier, vol. 94(PB).
    17. Muhammad Asif Khan & Masood Ahmed & József Popp & Judit Oláh, 2020. "US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling," Mathematics, MDPI, vol. 8(11), pages 1-20, November.
    18. Ansgar Belke & Dominik Kronen, 2017. "The impact of uncertainty on macro variables - An SVAR-based empirical analysis for EU countries," ROME Working Papers 201708, ROME Network.
    19. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    20. 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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.