Assessment of Capital Market Efficiency in COVID-19



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Submitted Apr 2, 2021
Published May 6, 2021
10.24018/ejbmr.2021.6.3.839

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The study tries to focus on the efficiency of the capital market through investigating the randomness of return series of Dhaka Stock Exchange of Bangladesh. Due to COVID-19 pandemic the worldwide capital market faces higher volatility than before. The study finds the week form of efficiency level of Bangladesh capital market. Special focus on Run test, Auto correlation test, predictability of tock return using ARIMA model the weekend effect anomaly and momentum strategy investing. The study found that the hypothesis of randomness of the stock returns are rejected for stock price index changes by using random walk tests, normality of return distributions, runs test and at different lags using ARIMA and the momentum tests which assert Dhaka Stock Exchange is not efficient even in the weak form.

Keywords: DSE, COVID-19, capital market, Bangladesh

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References

  1. Ahamed, F. (2021). Macroeconomic Impact of Covid-19: A case study on Bangladesh. IOSR Journal of Economics and Finance (IOSR-JEF), 12(1), 2021.
     Google Scholar
  2. Alam, M. M., Khondker, R. K., & Molla, M. S. (2013). Current Account Dynamics, Adjustment and Capital Mobility in Bangladesh. Global Disclosure of Economics and Business, 2(2), 117-126.
     Google Scholar
  3. Ball, R. (1978). Anomalies in relationships between securities' yields and yield-surrogates. Journal of financial economics, 6(2-3), 103-126.
     Google Scholar
  4. Basu, S. (1977). Investment performance of common stocks in relation to their price‐earnings ratios: A test of the efficient market hypothesis. The journal of Finance, 32(3), 663-682.
     Google Scholar
  5. Bepari, M. K., & Mollik, A. T. (2015). Effect of audit quality and accounting and finance backgrounds of audit committee members on firms’ compliance with IFRS for goodwill impairment testing. Journal of Applied Accounting Research.
     Google Scholar
  6. Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2012). The econometrics of financial markets. princeton University press.
     Google Scholar
  7. Chou, C. (1969). On the size of the set of left invariant means on a semigroup. Proceedings of the American Mathematical Society, 23(1), 199-205.
     Google Scholar
  8. De Bondt, W. F., & Thaler, R. (1985). Does the stock market overreact? The Journal of finance, 40(3), 793-805.
     Google Scholar
  9. Fama, E. F. (1965). Portfolio analysis in a stable Paretian market. Management science, 11(3), 404-419.
     Google Scholar
  10. Fama, E. F. (1965). The behavior of stock-market prices. The journal of Business, 38(1), 34-105.
     Google Scholar
  11. Fama, E. F. (1970). Session topic: stock market price behavior. The Journal of Finance, 25(2), 383-417.
     Google Scholar
  12. Pramanik, P. (2020, December). Optimization of Market Stochastic Dynamics. In SN Operations Research Forum (Vol. 1, No. 4, pp. 1-17). Springer International Publishing.
     Google Scholar
  13. Ritter, J. R. (1988). The buying and selling behavior of individual investors at the turn of the year. The Journal of Finance, 43(3), 701-717.
     Google Scholar
  14. Ritter, J. R. (1991). The long‐run performance of initial public offerings. The journal of finance, 46(1), 3-27.
     Google Scholar
  15. Williams, I. S., & Claesson, S. (1987). Isotopic evidence for the Precambrian provenance and Caledonian metamorphism of high grade paragneisses from the Seve Nappes, Scandinavian Caledonides. Contributions to Mineralogy and Petrology, 97(2), 205-217.
     Google Scholar