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The efficiency of emerging stock markets: empirical evidence from the south asian region

Author

Listed:
  • Cooray, Arusha.
  • Wickremasinghe, Guneratne.

    (University of Tasmania, Australia
    Victoria University, Australia)

Abstract

This paper examines the efficiency in the stock markets of India, Sri Lanka, Pakistan and Bangladesh. The Augmented Dickey Fuller (ADF-1979, 1981), the Phillips-Perron (PP-1988), the Dicky-Fuller Generalized Least Square (DF-GLS-1996) and Elliot-Rothenberg-Stock (ERS – 1996) tests are used to examine weak form stock market efficiency. Weak form efficiency is supported by the classical unit root tests. However, it is not strongly supported for Bangladesh under the DF-GLS and ERS tests. Cointegration and Granger causality tests are used to examine semi-strong form efficiency. Semi-strong form efficiency is not supported as these tests indicate a high degree of interdependence among the South Asian stock markets. The above results have implications for domestic as well as foreign investors in South Asian stock markets.

Suggested Citation

  • Cooray, Arusha. & Wickremasinghe, Guneratne., 2007. "The efficiency of emerging stock markets: empirical evidence from the south asian region," Journal of Developing Areas, Tennessee State University, College of Business, vol. 41(1), pages 171-183, September.
    • Handle: RePEc:jda:journl:vol.41:year:2007:issue1:pp:171-183
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    Cited by:

    1. Coskun, Yener & Seven, Unal, 2016. "Etkin Piyasalar Hipotezi ve BİST’in Zayıf Form Etkinlik Analizi (Book Chapter) [Efficient Market Hypothesis and Weak Form Efficiency Analysis of Borsa Istanbul (Book Chapter)]," MPRA Paper 80263, University Library of Munich, Germany.
    2. 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.
    3. Li, Yang & Du, Qingfeng, 2024. "Oil price volatility and gold prices volatility asymmetric links with natural resources via financial market fluctuations: Implications for green recovery," Resources Policy, Elsevier, vol. 88(C).
    4. Müge Özdemir, 2022. "Analyzing the Efficient Market Hypothesis with the Structural Break and Nonlinear Unit Root Tests: An Application on Borsa Istanbul," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(37), pages 257-282, December.
    5. Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
    6. Mohit Gupta & Navdeep Aggarwal, 2018. "Signaling Effect of Shifts in Dividend Policy: Evidence from Indian Capital Markets," Business Perspectives and Research, , vol. 6(2), pages 142-153, July.
    7. Mishra, Aswini Kumar & Ghate, Kshitish & Renganathan, Jayashree & Kennet, Joushita J. & Rajderkar, Nilay Pradeep, 2022. "Rolling, recursive evolving and asymmetric causality between crude oil and gold prices: Evidence from an emerging market," Resources Policy, Elsevier, vol. 75(C).
    8. Halime Temel Nalın & Sevinç Güler, 2015. "Testing The Random Walk Hypothesis: An Application in the BRIC Countries and Turkey," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(55), pages 129-148, March.
    9. Md. Abu HASAN, 2017. "Efficiency and Volatility of the Stock Market in Bangladesh: A Macroeconometric Analysis," Turkish Economic Review, KSP Journals, vol. 4(2), pages 239-249, June.
    10. Abdul Haque & Hung-Chun Liu & Fakhar-Un-Nisa, 2011. "Testing the Weak Form Efficiency of Pakistani Stock Market (2000 2010)," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 153-162.
    11. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2017. "Interest rate dynamic effect on stock returns and central bank transparency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 951-962.
    12. Chaido Dritsaki, 2011. "The Random Walk Hypothesis and Correlation in the Visegrad Countries Emerging Stock Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 14(40), pages 25-56, June.
    13. 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.
    14. Salma Naz & Seema Razaque & Hyder Ali Khuwaja & Niaz Ahmed, 2014. "Validity of EMH; A Case Study of KSE-100 Index," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 1(1), pages 112-126.
    15. Azad, A.S.M. Sohel & Azmat, Saad & Fang, Victor & Edirisuriya, Piyadasa, 2014. "Unchecked manipulations, price–volume relationship and market efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 30(C), pages 51-71.

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    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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