IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/58903.html
   My bibliography  Save this paper

Portfolio Diversification Benefits of Islamic Stocks and Malaysia’s Major Trading Partners:MGARCH-DCC and Wavelet Correlation Approaches

Author

Listed:
  • Rahim, Adam Mohamed
  • Masih, Mansur

Abstract

Previous studies have investigated the interdependence of Malaysian stock market with its major trading partners without taking into account the time-varying correlations and different investment horizons of the investors. The main objective of this paper is to study the extent to which the Malaysian Shari’ah (Islamic) investors can benefit from portfolio diversification with the Shari’ah indices of its major trading partners (China, Singapore, Japan, United States and Thailand). The recent Multivariate GARCH Dynamic Conditional Correlation, the Continuous Wavelet Transform and the Maximal Overlap Discrete Wavelet Transform are applied. Findings tend to indicate that the Malaysian Shari’ah investors who have allocated their investments in major trading partners like China and Singapore may not reap great diversification benefits for almost all investment horizons but may reap moderate benefits arising from Thailand and Japan up to the investment horizons of 32-64 days and longer. The evidence suggests that the portfolio diversification benefits are greater if the Malaysian Shari’ah investors invest in the US Shari’ah stock index excepting the long investment horizons. The stock holding periods exceeding 32 to 64 days contain minimal benefits of portfolio diversification. As an implication, the Malaysian Shari’ah investors should carry out the reassessment of their stock exposures and investment horizons more frequently.

Suggested Citation

  • Rahim, Adam Mohamed & Masih, Mansur, 2014. "Portfolio Diversification Benefits of Islamic Stocks and Malaysia’s Major Trading Partners:MGARCH-DCC and Wavelet Correlation Approaches," MPRA Paper 58903, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58903
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/58903/1/MPRA_paper_58903.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frederic S. Mishkin, 2011. "Over the Cliff: From the Subprime to the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 49-70, Winter.
    2. Masih, Abul M. M. & Masih, Rumi, 1999. "Are Asian stock market fluctuations due mainly to intra-regional contagion effects? Evidence based on Asian emerging stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 251-282, August.
    3. Corsetti, Giancarlo & Pesenti, Paolo & Roubini, Nouriel, 1999. "What caused the Asian currency and financial crisis?," Japan and the World Economy, Elsevier, vol. 11(3), pages 305-373, October.
    4. M. Shabri Abd. Majid & Ahamed Kameel Mydin Meera & Mohd. Azmi Omar, 2008. "Interdependence of ASEAN-5 Stock Markets from the US and Japan," Global Economic Review, Taylor & Francis Journals, vol. 37(2), pages 201-225.
    5. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    6. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    7. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    8. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    9. Mohamed ARIFF & Saiful Azhar ROSLY, 2011. "Islamic Banking in Malaysia: Unchartered Waters," Asian Economic Policy Review, Japan Center for Economic Research, vol. 6(2), pages 301-319, December.
    10. You, Leyuan & Daigler, Robert T., 2010. "Is international diversification really beneficial?," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 163-173, January.
    11. Mara Madaleno & Carlos Pinho, 2012. "International stock market indices comovements: a new look," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 89-102, January.
    12. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2013. "A wavelet decomposition approach to crude oil price and exchange rate dependence," Economic Modelling, Elsevier, vol. 32(C), pages 42-57.
    13. Tiwari, Aviral Kumar & Mutascu, Mihai & Andries, Alin Marius, 2013. "Decomposing time-frequency relationship between producer price and consumer price indices in Romania through wavelet analysis," Economic Modelling, Elsevier, vol. 31(C), pages 151-159.
    14. Janakiramanan, Sundaram & Lamba, Asjeet S., 1998. "An empirical examination of linkages between Pacific-Basin stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(2), pages 155-173, June.
    15. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    16. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    17. Bakri Abdul Karim & Zulkefly Abdul Karim, 2012. "Integration of Asean-5 Stock Markets: A Revisit," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 8(2), pages 21-41.
    18. Pesaran, Bahram & Pesaran, M. Hashem, 2007. "Modelling Volatilities and Conditional Correlations in Futures Markets with a Multivariate t Distribution," IZA Discussion Papers 2906, Institute of Labor Economics (IZA).
    19. N. Rajiv Menon & M.V. Subha & S. Sagaran, 2009. "Cointegration of Indian stock markets with other leading stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(2), pages 87-94, June.
    20. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    21. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    22. M. Hashem Pesaran & Bahram Pesaran, 2007. "Volatilities and Conditional Correlations in Futures Markets with a Multivariate t Distribution," CESifo Working Paper Series 2056, CESifo.
    23. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    24. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    25. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Differentiating intraday seasonalities through wavelet multi-scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 543-556.
    26. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang, Yonghong & Nie, He & Monginsidi, Joe Yohanes, 2017. "Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests," Economic Modelling, Elsevier, vol. 64(C), pages 384-398.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
    2. Rahim, Adam Mohamed & Masih, Mansur, 2014. "Effects of Political Turmoil (Arab Spring) on Portfolio Diversification Benefits: Perspectives of the Moroccan Islamic Stock investors," MPRA Paper 58832, University Library of Munich, Germany.
    3. Rahim, Adam Mohamed & Masih, Mansur, 2018. "Comovement of stock markets of Singapore and its major Asian trading partners," MPRA Paper 110319, University Library of Munich, Germany.
    4. Umirah, Fatin & Masih, Mansur, 2017. "Should the Malaysian Islamic stock market investors invest in regional and international equity market to gain portfolio diversification benefits ?," MPRA Paper 79762, University Library of Munich, Germany.
    5. Eman F. Attia & Sharihan Mohamed Aly & Ahmed said ElRawas & Ebtehal Orabi Awad, 2023. "Portfolio diversification benefits before and during the times of COVID-19: evidence from USA," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    6. Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019. "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 675-687.
    7. Yildirim, Ramazan & Masih, Mansur, 2018. "Investigating International Portfolio Diversification Opportunities for the Asian Islamic Stock Market Investors," MPRA Paper 90281, University Library of Munich, Germany.
    8. Rubaiyat Ahsan Bhuiyan & Afzol Husain & Changyong Zhang, 2023. "Diversification evidence of bitcoin and gold from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    9. Ali, Hakim & Masih, Mansur, 2016. "Evidence of cross-country portfolio diversification benefits: The case of Saudi Arabia," MPRA Paper 72180, University Library of Munich, Germany.
    10. Buriev, Abdul Aziz & Masih, Mansur, 2015. "Impact of Arab uprising on Portfolio diversification benefits at different investment horizons for the Turkish investors in relation to the regional stock markets: Multivariate GARCH-DCC and Wavelet c," MPRA Paper 65233, University Library of Munich, Germany.
    11. André A. P. Santos & Francisco J. Nogales & Esther Ruiz, 2013. "Comparing Univariate and Multivariate Models to Forecast Portfolio Value-at-Risk," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 400-441, March.
    12. Yildirim, Ramazan & Masih, A. Mansur M., 2014. "The Effect of Recent Financial Crisis over Global Portfolio Diversification Opportunities – Empirical Evidence A Comparative Multivariate GARCH-DCC, MODWT and Wavelet Correlation Analysis," MPRA Paper 58269, University Library of Munich, Germany.
    13. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    14. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Gold, oil, and stocks: Dynamic correlations," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 186-201.
    15. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.
    16. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    17. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
    18. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Rehman, Mobeen Ur & Salman, Aneel, 2019. "Can alternative hedging assets add value to Islamic-conventional portfolio mix: Evidence from MGARCH models," Resources Policy, Elsevier, vol. 61(C), pages 210-230.
    19. Belanes, Amel & Saâdaoui, Foued & Abedin, Mohammad Zoynul, 2024. "Potential diversification benefits: A comparative study of Islamic and conventional stock market indexes," Research in International Business and Finance, Elsevier, vol. 67(PA).
    20. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.

    More about this item

    Keywords

    Shari’ah (Islamic) stock indices; Diversification benefits; Trading partners; M-GARCH; Wavelet analysis; MODWT; CWT;
    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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:58903. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.