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Efficiency of Bangladesh stock market: evidence from monthly index and individual firm data

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  • M. K. Hassan
  • S. S. H. Chowdhury

Abstract

Using monthly data for market index and 46 actively traded individual firms from January 1991 through May 2003, we examine the efficiency of stock market of an emerging market. We employ a battery of tests including variance ratio tests to examine the efficiency issue of Bangladesh stock market. Portfolio results suggest that the DSE is weak-form efficient, but the individual firm returns suggest that DSE is weak-form inefficient. We suggest that individual firm returns are influenced by nonsynchronous trading and firm-specific and market micro-structure effects.

Suggested Citation

  • M. K. Hassan & S. S. H. Chowdhury, 2008. "Efficiency of Bangladesh stock market: evidence from monthly index and individual firm data," Applied Financial Economics, Taylor & Francis Journals, vol. 18(9), pages 749-758.
    • Handle: RePEc:taf:apfiec:v:18:y:2008:i:9:p:749-758
    DOI: 10.1080/09603100701320178
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    References listed on IDEAS

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    Cited by:

    1. Mohammad Joarder & Monir Ahmed & Tahsina Haque & Syed Hasanuzzaman, 2014. "An empirical testing of informational efficiency in Bangladesh capital market," Economic Change and Restructuring, Springer, vol. 47(1), pages 63-87, February.
    2. Sami Al Kharusi & Robert O. Weagley, 2014. "Weak Form Market Efficiency During the 2008 Financial Crisis: Evidence from the Muscat Securities Market," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(4), pages 27-42.
    3. Roni Bhowmik & Wu Chao & Jewel Roy Kumar & Wang Shouyang, 2017. "A Study on the Volatility of the Bangladesh Stock Market — Based on GARCH Type Models," Journal of Systems Science and Information, De Gruyter, vol. 5(3), pages 193-215, June.
    4. Saif Hossain, 2013. "The Impulsive Stock Market of Bangladesh and the Great Recession," International Journal of Business and Social Research, LAR Center Press, vol. 3(3), pages 126-139, March.
    5. Shekar Bose & Hafizur Rahman, 2022. "Are News Effects Necessarily Asymmetric? Evidence from Bangladesh Stock Market," SAGE Open, , vol. 12(4), pages 21582440221, October.
    6. Shekar Bose & Hafizur Rahman, 2015. "Examining the relationship between stock return volatility and trading volume: new evidence from an emerging economy," Applied Economics, Taylor & Francis Journals, vol. 47(18), pages 1899-1908, April.
    7. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.
    8. Syed Manzur Quader & Mohammad Nayeem Abdullah, 2020. "How financial market in Bangladesh appraises efficiency?," Economic Change and Restructuring, Springer, vol. 53(3), pages 475-494, August.
    9. MD Rokonuzzaman & Mohammad Akram Hossen, 2018. "Volatility Analysis of Stock Returns for Fifteen Listed Banks in Chittagong Stock Exchange," International Business Research, Canadian Center of Science and Education, vol. 11(9), pages 129-143, September.
    10. Masud Pervez & Md. Harun Ur Rashid & Md. Asad Iqbal Chowdhury & Mahbubur Rahaman, 2018. "Predicting the Stock Market Efficiency in Weak Form: A Study on Dhaka Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 8(5), pages 88-95.
    11. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).

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