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Market Efficiency in Emerging Stock Market

Author

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  • Asma Mobarek

    (Asma Mobarek, Senior Lecturer, Department of Accounting and Finance, Faculty of Business, University of Botswana, Private Bag UB 00701, Gaborone, Botswana. E-mail: mobareka@mopipi.ub.bw, asma0301@yahoo.co.uk. Tel: +2673552223.)

  • A. Sabur Mollah

    (A. Sabur Mollah, Senior Lecturer, Department of Accounting and Finance, Faculty of Business, University of Botswana, Private Bag UB 00701, Gaborone, Botswana. Tel: +267 355 2236. E-mail: mollahas@mopipi.ub.bw.)

  • Rafiqul Bhuyan

    (Rafiqul Bhuyan, Assistant Professor of Finance, College of Business Administration, California State University, Sacramento. 6000 J street, Sacramento, CA 95819-6088. E-Mail: bhuyanr@csus.edu. Tel: 916 278 7229.)

Abstract

This study seeks evidence on whether the return series on Bangladesh's Dhaka Stock Exchange (DSE) is independent and follows the random walk model. The study focuses on assessing if the DSE deviates from idealised efficiency. The sample primarily includes all the listed companies on the DSE daily price index over the period 1988 to 2000. The results of both non-parametric (Kolmogrov—Smirnov: normality test and run test) and parametric test (Auto-correlation test, Auto-regressive model, ARIMA model) provide evidence that the security returns do not follow the random walk model and the significant auto-correlation coefficient at different lags reject the null hypothesis of weak-form efficiency. The results are consistent with observations in different sub-samples without outlier and for individual securities. This anomaly with the efficient market hypothesis supports the thought that the market does not respond to new information instantaneously. This may be due to a delay in dissemination to new price sensitive information or biases (under or over reaction) in the response of market participants to such information. It may also be for the momentum effect related to herding in particular ‘positive feed back trading’ or ‘trend following’ the trading strategy by the average investors.

Suggested Citation

  • Asma Mobarek & A. Sabur Mollah & Rafiqul Bhuyan, 2008. "Market Efficiency in Emerging Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(1), pages 17-41, January.
    • Handle: RePEc:sae:emffin:v:7:y:2008:i:1:p:17-41
    DOI: 10.1177/097265270700700102
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    References listed on IDEAS

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    Cited by:

    1. Basu, Anup K. & Huang-Jones, Jason, 2015. "The performance of diversified emerging market equity funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 116-131.
    2. Mobarek, Asma & Fiorante, Angelo, 2014. "The prospects of BRIC countries: Testing weak-form market efficiency," Research in International Business and Finance, Elsevier, vol. 30(C), pages 217-232.
    3. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Frontier markets’ efficiency: mutual information and detrended fluctuation analyses," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 551-572, September.
    4. Matheus José Silva de Souza & Danilo Guimarães Franco Ramos & Marina Garcia Pena & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Examination of the profitability of technical analysis based on moving average strategies in BRICS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-18, December.
    5. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
    6. Francesco Guidi & Rakesh Gupta & Suneel Maheshwari, 2011. "Weak-form Market Efficiency and Calendar Anomalies for Eastern Europe Equity Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 10(3), pages 337-389, December.
    7. Roni Bhowmik & Wu Chao & Wang Shouyang & Jewel Roy Kumar, 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.
    8. 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.
    9. 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.
    10. 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.
    11. Dora Almeida & Andreia Dionísio & Muhammad Enamul Haque & Paulo Ferreira, 2022. "A Giant Falls: The Impact of Evergrande on Asian Stock Indexes," JRFM, MDPI, vol. 15(8), pages 1-14, July.
    12. Sheereen Fauzel, 2016. "A Generalized Autoregressive Conditional Heteroscedastic Approach for the Assessment of Weak-form-efficiency and Seasonality Effect: Evidence from Mauritius," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 745-755.
    13. Maria Sochi & Steve Swidler, 2018. "A Test of Market Efficiency When Short Selling Is Prohibited: A Case of the Dhaka Stock Exchange," JRFM, MDPI, vol. 11(4), pages 1-17, October.
    14. Noman Arshed & Muhammad Shahid Hassan & Kenneth A Grant & Osama Aziz, 2019. "Are Karachi Stock Exchange Firms Investment Promoting? - Evidence of Efficient Market Hypothesis Using Panel Cointegration," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(2), pages 52-65, June.
    15. Shekar Bose & Hafizur Rahman, 2022. "Are News Effects Necessarily Asymmetric? Evidence from Bangladesh Stock Market," SAGE Open, , vol. 12(4), pages 21582440221, October.
    16. 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.
    17. Satish Kumar & Vinodh Madhavan & Riya Sureka, 2020. "The Journal of Emerging Market Finance: A Bibliometric Overview (2002–2019)," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(3), pages 326-352, December.
    18. Muneer Shaik & S. Maheswaran, 2017. "Random Walk in Emerging Asian Stock Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(1), pages 20-31, January.
    19. Naheed Rabbani, 2017. "The Announcement Effect of Cash Dividend Changes on Share Prices: Evidence from Dhaka Stock Exchange," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-19, December.

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    More about this item

    Keywords

    Weak-form market efficiency; emerging markets; stock market; information; JEL Classification: G12; JEL Classification: G14; JEL Classification: G34;
    All these keywords.

    JEL classification:

    • 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
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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