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Financial uncertainty valuation: doesShariahcompliant screening matter?

Author

Listed:
  • Fatma Alahouel
  • Nadia Loukil

Abstract

Purpose - This paper aims to investigate the financial uncertainty vary according to different financial assets type: conventional and Islamic. Design/methodology/approach - Common factors are related to risk or known information. For this, the authors use general dynamic factor model to extract common variation between both types of indexes. Then they calculate stochastic volatility for each idiosyncratic component. They also carry out the study on three different family indexes respectively, Dow Jones, S&P and MSCI indexes, for the period going from January 1, 2008 to June 30, 2018. Through a comparison analysis with uncertainty index designed for conventional assets, the authors examine the similarity between the two indexes via mean, median and variance tests. They decrypt the interrelation between them by using OLS linear regression, vector autoregressive model. Findings - The findings show that Islamic assets uncertainty is different from conventional uncertainty level. This difference can be due to theShariahscreening and the prohibition of gharar. The main findings suggest that Islamic financial uncertainty is lower than conventional one. The OLS results prove that conventional financial uncertainties have no impact on their Islamic counterparts. In addition, Islamic financial uncertainty appears to have no significant influence on conventional one exception for Dow Jones pair. Overall, the findings support the decoupling hypothesis in term of uncertainty only for SP and MSCI indexes. Practical implications - Risk averse investors can find their claim inShariah-compliant assets, as it offers a low level of financial uncertainty. A portfolio manager may benefit from the long run non-association in uncertainty between Islamic and conventional assets especially in time of crisis. Originality/value - In this work, the authors measured financial uncertainty differently and take into account the specific features of each index type to improve the results quality.

Suggested Citation

  • Fatma Alahouel & Nadia Loukil, 2020. "Financial uncertainty valuation: doesShariahcompliant screening matter?," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 14(1), pages 57-76, August.
    • Handle: RePEc:eme:imefmp:imefm-04-2019-0137
    DOI: 10.1108/IMEFM-04-2019-0137
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    1. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Dewandaru, Ginanjar & Rizvi, Syed Aun R. & Masih, Rumi & Masih, Mansur & Alhabshi, Syed Othman, 2014. "Stock market co-movements: Islamic versus conventional equity indices with multi-timescales analysis," Economic Systems, Elsevier, vol. 38(4), pages 553-571.
    4. Ulrich Derigs & Shehab Marzban, 2008. "Review and analysis of current Shariah‐compliant equity screening practices," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 1(4), pages 285-303, November.
    5. Bird, Ron & Yeung, Danny, 2012. "How do investors react under uncertainty?," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 310-327.
    6. Joseph P. Byrne & Marina-Eliza Spaliara & Serafeim Tsoukas, 2016. "Firm Survival, Uncertainty, And Financial Frictions: Is There A Financial Uncertainty Accelerator?," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 375-390, January.
    7. Abdou DIAW, 2015. "The global financial crisis and Islamic finance: a review of selected literature," Journal of Islamic Accounting and Business Research, Emerald Group Publishing Limited, vol. 6(1), pages 94-106, April.
    8. Haitham A. Al-Zoubi & Aktham I. Maghyereh, 2007. "The Relative Risk Performance Of Islamic Finance: A New Guide To Less Risky Investments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 235-249.
    9. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Measuring uncertainty in the stock market," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 18-33.
    10. Al-Khazali, Osamah & Lean, Hooi Hooi & Samet, Anis, 2014. "Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 29-46.
    11. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
    12. Md. Mahmudul Alam & Chowdhury Shahed Akbar & Shawon Muhammad Shahriar & Mohammad Monzur Elahi, 2017. "The IslamicShariahprinciples for investment in stock market," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(2), pages 132-146, May.
    13. Abdulazeem Abozaid, 2016. "The internal challenges facing Islamic finance industry," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 9(2), pages 222-235, June.
    14. Abdulazeem Abozaid, 2016. "The internal challenges facing Islamic finance industry," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 9(2), pages 222-235, June.
    15. Bekiros, Stelios D., 2014. "Contagion, decoupling and the spillover effects of the US financial crisis: Evidence from the BRIC markets," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 58-69.
    16. Bai, Jushan & Ng, Serena, 2008. "Large Dimensional Factor Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(2), pages 89-163, June.
    17. Ulrich Derigs & Shehab Marzban, 2008. "Review and analysis of current Shariah‐compliant equity screening practices," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 1(4), pages 285-303, November.
    18. Valentino Cattelan, 2009. "From the concept of haqq to the prohibitions of riba, gharar and maysir in Islamic finance," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 2(3/4), pages 384-397.
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