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Understanding time-varying systematic risks in Islamic and conventional sectoral indices

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  • Rizvi, Syed Aun R.
  • Arshad, Shaista

Abstract

This paper examines the nature of time-varying systematic risk for both Islamic and non-Islamic sectoral indices. The novelty lies in the analysis of behavioural changes in beta according to the global economic state. Using daily stock market return data on 10 global sectors, we show that both Islamic and conventional indices follow a similar cyclical pattern over time. The sectoral beta turns out to be smaller for the Islamic market compared to the conventional market. These results remain robust to multiple additional tests. On this basis, we argue that a lower systematic risk of Islamic equities can offer portfolio diversification opportunities.

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  • Rizvi, Syed Aun R. & Arshad, Shaista, 2018. "Understanding time-varying systematic risks in Islamic and conventional sectoral indices," Economic Modelling, Elsevier, vol. 70(C), pages 561-570.
    • Handle: RePEc:eee:ecmode:v:70:y:2018:i:c:p:561-570
    DOI: 10.1016/j.econmod.2017.10.011
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    1. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    2. Amélie Charles & Olivier Darné & Adrian Pop, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Finance Model? Evidence from sudden changes in the volatility of Dow Jones indexes," Post-Print hal-00763015, HAL.
    3. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2016. "Intraday volatility interaction between the crude oil and equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 1-13.
    4. Joakim Westerlund & Paresh Narayan, 2015. "Testing for Predictability in Conditionally Heteroskedastic Stock Returns," Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 342-375.
    5. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema, 2011. "Do market capitalization and stocks traded converge? New global evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2771-2781, October.
    6. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan Sivananthan, 2014. "An analysis of price discovery from panel data models of CDS and equity returns," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 167-177.
    7. 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.
    8. Dewandaru, Ginanjar & Rizvi, Syed Aun R. & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "What factors explain stock market retardation in Islamic Countries," Emerging Markets Review, Elsevier, vol. 19(C), pages 106-127.
    9. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
    10. Narayan, Paresh Kumar & Narayan, Seema & K.P, Prabheesh, 2014. "Stock returns, mutual fund flows and spillover shocks," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 146-162.
    11. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, vol. 41(C), pages 137-146.
    12. Ahmet Sensoy, 2016. "Systematic Risk in Conventional and Islamic Equity Markets," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 457-466, September.
    13. 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.
    14. Narayan, Paresh Kumar & Ahmed, Huson Ali & Sharma, Susan Sunila & K.P., Prabheesh, 2014. "How profitable is the Indian stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 44-61.
    15. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    16. Arshad, Shaista & Rizvi, Syed Aun R., 2015. "The troika of business cycle, efficiency and volatility. An East Asian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 158-170.
    17. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    18. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    19. Dewandaru, Ginanjar & Bacha, Obiyathulla Ismath & Masih, A. Mansur M. & Masih, Rumi, 2015. "Risk-return characteristics of Islamic equity indices: Multi-timescales analysis," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 115-138.
    20. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    21. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2015. "Are Indian stock returns predictable?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 506-531.
    22. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Westerlund, Joakim, 2016. "Are Islamic stock returns predictable? A global perspective," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 210-223.
    23. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Narayan, Seema & Bannigidadmath, Deepa, 2017. "Is there a financial news risk premium in Islamic stocks?," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 158-170.
    24. Deepa & Paresh K Narayan, "undated". "Are Indian Stock Returns Predictable?," Working Papers 2015_07, Deakin University, Department of Economics.
    25. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2017. "Does Financial News Predict Stock Returns? New Evidence from Islamic and Non-Islamic Stocks," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 24-45.
    26. Amélie Charles, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Finance Model? Evidence from sudden changes in the volatility of Dow Jones indexes," Post-Print hal-00763010, HAL.
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    Cited by:

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    4. Yener, Coskun & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2023. "Stock Market Responses to COVID-19: The Behaviors of Mean Reversion, Dependence and Persistence," MPRA Paper 117002, University Library of Munich, Germany.
    5. İbrahim Yağlı, 2021. "The Impact of Covid-19 on Emerging Stock Market Volatility: Empirical Evidence from Borsa Istanbul," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 5(SI), pages 269-279.
    6. 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.
    7. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
    8. Bartłomiej Lisicki, 2023. "Sektorowe zróżnicowanie efektu interwału akcji spółek z GPW w dobie pandemii COVID-19," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 174-194.
    9. Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    10. Baek, Seungho & Mohanty, Sunil K. & Glambosky, Mina, 2020. "COVID-19 and stock market volatility: An industry level analysis," Finance Research Letters, Elsevier, vol. 37(C).
    11. Chowdhury, Md Iftekhar Hasan & Balli, Faruk & Hassan, M. Kabir, 2021. "Network Connectedness of World's Islamic Equity Markets," Finance Research Letters, Elsevier, vol. 41(C).
    12. Coskun, Yener & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOIuwa S., 2021. "Stock Market Responses to COVID-19: Mean Reversion, Dependence and Persistence Behaviours," MPRA Paper 109827, University Library of Munich, Germany.
    13. Vu, Son T. & Le, Tam T. & Nguyen, Chi N. L. & Le, Duong T. & Le, Phuc H. & Truong2, Ha K., 2021. "COVID-19 Pandemic, Stimulus Packages and Stock Returns in Vietnam," OSF Preprints z573c, Center for Open Science.
    14. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    15. Paresh Kumar Narayan & Syed Aun R. Rizvi & Ali Sakti, 2022. "Did green debt instruments aid diversification during the COVID-19 pandemic?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-15, December.
    16. 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).
    17. İbrahim Yağlı, 2020. "The Impact of Covid-19 on Emerging Stock Market Volatility: Empirical Evidence from Borsa Istanbul," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 5(SI), pages 269-279.
    18. Gu, Xin & Zhang, Weiqiang & Cheng, Sang, 2021. "How do investors in Chinese stock market react to external uncertainty? An event study to the Sino-US disputes," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    19. Delle Foglie, Andrea & Panetta, Ida Claudia, 2020. "Islamic stock market versus conventional: Are islamic investing a ‘Safe Haven’ for investors? A systematic literature review," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    Beta; Systematic risk; Equity indices; Islamic finance;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

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