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Is there any significant difference in global volatility of and correlation between shari’ah-compliant (Islamic) equities and sukuk ?

Author

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  • Abdullah, Mace
  • Masih, Mansur

Abstract

Islamic finance is still both a nascent and niche market globally. That its products “mimic” their conventional counterparts is a constant cry of criticism often heard spoken among financial professionals. That financial products are developed and marketed in the global capital markets is axiomatic. Equally clear is the fact that equities and fixed-income securities form the two predominant pillars of the global capital markets. While there exist numerous studies of the covariances between equity and bond asset classes, the field is significantly narrowed as to those that apply the more recent financial techniques for measuring volatilities and correlations. There presently exist a veritable dearth of research as to whether Shari’ah-compliant equities and sukuk (a proxy for fixed-income or debt securities) have covariances and correlations similar to or different from those of their conventional counterparts. The level of inquiry should increase as more data presently exists on these Islamic asset classes and Islamic finance continues to gain ground in the global capital market. This study is a preliminary step towards answering the open question of the similarities and/or dissimilarities between the volatility and correlations between these two markets and asset classes. This study finds that there exist significant differences in the volatilities between Shari’ah-compliant equities and sukuk. It further finds that those differences are amplified by examining the behavior of the two asset classes during the recent 2007-2008 financial crisis. Moreover, it finds that the correlative behavior, in general, of these Islamic asset classes is not significantly different from that of their conventional counterparts.

Suggested Citation

  • Abdullah, Mace & Masih, Mansur, 2017. "Is there any significant difference in global volatility of and correlation between shari’ah-compliant (Islamic) equities and sukuk ?," MPRA Paper 103729, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:103729
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    File URL: https://mpra.ub.uni-muenchen.de/103729/1/MPRA_paper_103729.pdf
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    References listed on IDEAS

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    1. Beck, Thorsten & Levine, Ross, 2004. "Stock markets, banks, and growth: Panel evidence," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 423-442, March.
    2. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    3. Peter de Goeij, 2004. "Modeling the Conditional Covariance Between Stock and Bond Returns: A Multivariate GARCH Approach," Journal of Financial Econometrics, Oxford University Press, vol. 2(4), pages 531-564.
    4. Ross Levine, 1997. "Financial Development and Economic Growth: Views and Agenda," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 688-726, June.
    5. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    6. Helena Chuliá & Hipòlit Torró, 2008. "The economic value of volatility transmission between the stock and bond markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(11), pages 1066-1094, November.
    7. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    8. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    9. Roll, Richard & Ross, Stephen A, 1994. "On the Cross-sectional Relation between Expected Returns and Betas," Journal of Finance, American Finance Association, vol. 49(1), pages 101-121, March.
    10. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    11. Dean, Warren G. & Faff, Robert W. & Loudon, Geoffrey F., 2010. "Asymmetry in return and volatility spillover between equity and bond markets in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 272-289, June.
    12. Brenner, Menachem & Pasquariello, Paolo & Subrahmanyam, Marti, 2009. "On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1265-1289, December.
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    More about this item

    Keywords

    Shariah-compliant (Islamic) equities; Sukuk; MGARCH; Wavelets;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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