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Impact of Ethical Screening on Risk and Returns: the Case of Constructed Moroccan Islamic Stock Indexes

Author

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  • BOUSALAM, Issam
  • HAMZAOUI, Moustapha

Abstract

Despite the increasing attention given to Islamic investment, there is still existing few empirical papers that examined the performance and volatility of Islamic Funds and indices in comparison to their conventional unscreened counterparts. These studies provide mixed evidence with regards to risk and returns of Islamic funds and indices. This paper aims to expand the literature on this subject by studying the Moroccan case considering the recent introduction of Islamic finance in the country towards the end of 2015. Since there is still no Shariah compliant indices in Morocco, we first applied four Shariah screening methodologies of some of the world leading equity index providers (i.e. Dow Jones, FTSE, S&P and MSCI) to screen the public listed companies in Casablanca Stock Exchange for Shariah compliance. Next, we constructed four Islamic float-weighted indexes for which we modeled the dynamic volatility using an extension of the AutoRegressive Conditional Heteroskedasticity models, namely EGARCH(1,1). The findings show that the screening process resulted in a well diversified universe of Shariah compliant stocks (25.6%) to invest in. Furthermore, it is found that constructed Islamic indices outperformed the broad-based Moroccan All Shares Index (MASI) during the considered period of analysis (January 2013 to December 2014) and their long run volatility is higher. This indicates that investors in Shariah-compliant stocks do not sacrifice financial performance for their risky investment. The estimates of the model show that volatility for the MASI is more persistent and takes longer time to die, and the leverage effect is positive for all indices meaning that volatility of indexes' returns is influenced more by good news than bad news, a result that is in contrast to other studies for developed countries.

Suggested Citation

  • BOUSALAM, Issam & HAMZAOUI, Moustapha, 2016. "Impact of Ethical Screening on Risk and Returns: the Case of Constructed Moroccan Islamic Stock Indexes," MPRA Paper 68979, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:68979
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    References listed on IDEAS

    as
    1. Mohamed Albaity & Rubi Ahmad, 2008. "Performance of Syariah and Composite Indices: Evidence from Bursa Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 4(1), pages 23-43.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. repec:bla:jfinan:v:44:y:1989:i:1:p:167-81 is not listed on IDEAS
    4. 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.
    5. Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2010. "Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 331-350.
    6. Daniel B. Nelson, 1994. "Asymptotically Optimal Smoothing with ARCH Models," NBER Technical Working Papers 0161, National Bureau of Economic Research, Inc.
    7. R. F. Engle & A. J. Patton, 2001. "What good is a volatility model?," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 237-245.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    10. Hussein, Khaled A., 2004. "Ethical Investment: Empirical Evidence From Ftse Islamic Index," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 12, pages 22-40.
    11. Khatkhatay, M. H. & Nisar, Shariq, 2007. "Shari[Ah Compliant Equity Investments: An Assessment Of Current Screening Norms," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 15, pages 48-76.
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    Cited by:

    1. Rasha Tawfiq Abadi & Florinda Silva, 2022. "Do Islamic fundamental weighted indices outperform their conventional counterparts? An empirical investigation during the crises in the MENA region," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 241-266, June.

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    More about this item

    Keywords

    Islamic Index; Shariah screening; EGARCH volatility model; Morocco.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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