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Shari’ah (islamic)compliant investments in Malaysia: influences of selected stock indices and their trend/cycle decomposition equity

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  • Kamil, Nazrol
  • Masih, Mansur

Abstract

We want to address three objectives: (i)for an investor in Shari’ah (Islamic) compliant equity investments in Malaysia, which stock has more bearing on returns: local market indices, regional or international? (ii) again, for Malaysian Shari’ah compliant equity investments, which stock is more influential in affecting returns : conventional or Islamic indices? (iii) what key observations can we make given the decomposition of index movements into permanent and cyclical (temporary) elements? Our corresponding findings are: (i) Shari’ah compliant equity investments in Malaysia, as measured by the FBMSHA index, is most influenced by local indices (namely KLCI and EMAS), and followed by international and regional indices. (ii) Between Islamic and conventional indices, the former exerts greater influence on Shari’ah compliant equity investments in Malaysia, albeit by marginal magnitudes. About 86% of stocks listed on Bursa Malaysia are pronounced as Shari’ah compliant (iii) Decomposing the stock indices into permanent and cyclical components produced some useful insights, namely (a)Malaysian Shari’ah compliant equities tend to underperform during bullish markets, while are generally “safer” when markets fall (b)In terms of diversifying Shari’ah compliant equity portfolios beyond Malaysian borders, there appears to be some benefit from cherry picking markets rather than investing in a regional based fund (c)For the risk averse Shari’ah compliant equity investor, a longer-termed investment horizon is advisable.

Suggested Citation

  • Kamil, Nazrol & Masih, Mansur, 2016. "Shari’ah (islamic)compliant investments in Malaysia: influences of selected stock indices and their trend/cycle decomposition equity," MPRA Paper 100955, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:100955
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    References listed on IDEAS

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    1. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-360, Oct.-Dec..
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Anderson, Heather M. & Low, Chin Nam & Snyder, Ralph, 2006. "Single source of error state space approach to the Beveridge Nelson decomposition," Economics Letters, Elsevier, vol. 91(1), pages 104-109, April.
    4. Miller, Stephen M., 1988. "The Beveridge-Nelson decomposition of economic time series : Another economical computational method," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 141-142, January.
    5. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    8. Arino, Miguel A. & Newbold, Paul, 1998. "Computation of the Beveridge-Nelson decomposition for multivariate economic time series," Economics Letters, Elsevier, vol. 61(1), pages 37-42, October.
    9. Richard H. Clarida & Mark P. Taylor, 2003. "Nonlinear Permanent - Temporary Decompositions in Macroeconomics and Finance," Economic Journal, Royal Economic Society, vol. 113(486), pages 125-139, March.
    10. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    11. Newbold, Paul, 1990. "Precise and efficient computation of the Beveridge-Nelson decomposition of economic time series," Journal of Monetary Economics, Elsevier, vol. 26(3), pages 453-457, December.
    12. Engle, Robert F. & Issler, João Victor, 1993. "Common trends and common cycles in Latin America," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 47(2), April.
    13. Cuddington, John T. & Winters, L. Alan, 1987. "The Beveridge-Nelson decomposition of economic time series : A quick computational method," Journal of Monetary Economics, Elsevier, vol. 19(1), pages 125-127, January.
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    More about this item

    Keywords

    Islamic equities; trend/cycle decomposition; Malaysia;
    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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