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A Test of Return Predictability in the Vietnamese Stock Market

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  • Thanh Trung Le
  • Anh Tram Luong

Abstract

For the first time, the market efficiency is examined in the different context of the stock market. By employing tests of weak-form efficiency, this study finds out that the overall, Vietnamese stock market does not follow a random walk regardless of the degree of stock market volatility. Therefore, technical analysis could be used by investors and financial managers to forecast price and gain profits on the market. Another finding is that although the Vietnamese market is not weak-form efficient, there is an improvement in recent years. The paper suggests that if investors and financial managers can employ past returns to predict stock prices and make decisions on the Vietnamese market, they should change their strategies in the future. This finding also contributes to studies on the Efficient Market Hypothesis in emerging countries and its performance in different economic contexts.

Suggested Citation

  • Thanh Trung Le & Anh Tram Luong, 2020. "A Test of Return Predictability in the Vietnamese Stock Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(2), pages 390-404, April.
    • Handle: RePEc:jfr:ijfr11:v:11:y:2020:i:2:p:390-404
    DOI: 10.5430/ijfr.v11n2p390
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    References listed on IDEAS

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    1. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    2. Alexeev, Vitali & Tapon, Francis, 2011. "Testing weak form efficiency on the Toronto Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 661-691, September.
    3. Xuan Vinh Vo & Huu Huan Nguyen & Khanh Duy Pham, 2016. "Financial structure and economic growth: the case of Vietnam," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 141-154, August.
    4. Francesco Guidi & Rakesh Gupta, 2011. "Are ASEAN stock market efficient? Evidence from univariate and multivariate variance ratio tests," Discussion Papers in Finance finance:201113, Griffith University, Department of Accounting, Finance and Economics.
    5. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    6. Claessens, Stijn & Dasgupta, Susmita & Glen, Jack, 1995. "Return Behavior in Emerging Stock Markets," The World Bank Economic Review, World Bank, vol. 9(1), pages 131-151, January.
    7. 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.
    8. Buguk, Cumhur & Wade Brorsen, B., 2003. "Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 579-590.
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