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Cross-Sectional and Time-Series Momentum Returns and Market Dynamics: Are Islamic Stocks Different?

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Abstract

We search for differences in both unconditional and conditional momentum returns of Islamic and Non-Islamic stocks and test implications of competing behavioral theories that aim to explain momentum returns. Our results show that there is no significant difference in momentum returns between Islamic versus Non-Islamic stocks with respect to both cross-sectional (CS) and time-series (TS) momentum strategies even when we condition momentum returns on market dynamics, information uncertainty (IU), and idiosyncratic volatility (IV). We also find that the TS strategy outperforms (underperforms) the CS strategy in market continuations (transitions) consistent with the recent evidence in the U.S. market. Furthermore, we find that CS and TS strategies of both Islamic and Non-Islamic stocks are profitable only when the market continues in the same state consistent with overconfidence driving momentum returns of both Islamic and Non-Islamic stocks.

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  • Muhammad A. Cheema & Gilbert V. Nartea, 2017. "Cross-Sectional and Time-Series Momentum Returns and Market Dynamics: Are Islamic Stocks Different?," Working Papers in Economics 17/14, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:17/14
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    1. Asem, Ebenezer & Tian, Gloria Y., 2010. "Market Dynamics and Momentum Profits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(6), pages 1549-1562, December.
    2. Muhammad A. Cheema & Gilbert V. Nartea & Yimei Man, 2018. "Cross‐Sectional and Time Series Momentum Returns and Market States," International Review of Finance, International Review of Finance Ltd., vol. 18(4), pages 705-715, December.
    3. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    4. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    5. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    6. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    7. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    8. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    9. Matteo P. Arena & K. Stephen Haggard & Xuemin (Sterling) Yan, 2008. "Price Momentum and Idiosyncratic Volatility," The Financial Review, Eastern Finance Association, vol. 43(2), pages 159-190, May.
    10. 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.
    11. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    12. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    13. Kim, Jae H. & Shamsuddin, Abul, 2008. "Are Asian stock markets efficient? Evidence from new multiple variance ratio tests," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 518-532, June.
    14. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    15. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    16. Sheridan Titman & Matthias Hanauer, 2014. "Is Japan Different? Evidence on Momentum and Market Dynamics," International Review of Finance, International Review of Finance Ltd., vol. 14(1), pages 141-160, March.
    17. repec:bla:jfinan:v:59:y:2004:i:3:p:1345-1365 is not listed on IDEAS
    18. McLean, R. David, 2010. "Idiosyncratic Risk, Long-Term Reversal, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 883-906, August.
    19. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    20. Narayan, Paresh Kumar & Narayan, Seema & Bach Phan, Dinh Hoang & Sivananthan Thuraisamy, Kannan & Tran, Vuong Thao, 2017. "Credit quality implied momentum profits for Islamic stocks," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 11-23.
    21. 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.
    22. Li, Bob & Ee, Mong Shan & Rashid, Mamunur, 2016. "Is momentum trading profitable from Shari'ah compliant stocks?," Review of Financial Economics, Elsevier, vol. 31(C), pages 56-63.
    23. Cheema, Muhammad A. & Nartea, Gilbert V., 2017. "Momentum, idiosyncratic volatility and market dynamics: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 109-123.
    24. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach, 2017. "Momentum strategies for Islamic stocks," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 96-112.
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    More about this item

    Keywords

    Islamic stocks; cross-sectional; time-series; momentum returns; market dynamics;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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