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Efficiency of the Stock Markets after the 2008 Financial Crisis: Evidence from the Four Asian Dragons

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  • Ka Po Kung

    (National University of Singapore, Singapore)

Abstract

The efficient market hypothesis (EMH) claims that in an efficient market where prices of securities fully reflect their intrinsic values, it is not possible to make excess returns with any investment tools or strategies. A natural question then to ask is: has the EMH claim become obsolete or irrelevant after the 2008 financial crisis? To address this issue, this study employs three popular technical trading rules to investigate, using the 10-year daily price data after the crisis, the efficiency of the stock markets of Hong Kong, Korea, Singapore, and Taiwan — jointly known as the four Asian dragons. Our rationale for using these rules is that if they are effective in exploiting profit opportunities, then these markets are not efficient. Our results show that, with a few minor exceptions in Hong Kong and Singapore, none of the three rules performs better than a buy-andhold strategy. Given these results, we conclude that the EMH claim is still alive and well in these four stock markets. In practice, many corporations operating in the four Asian Dragons typically turn to banks for financing. Hence, an important implication of this study is that, given the efficiency of the four markets, these corporations should instead step up the use of the stock markets to raise the needed funds, which is more likely to lower their cost of financing.

Suggested Citation

  • Ka Po Kung, 2022. "Efficiency of the Stock Markets after the 2008 Financial Crisis: Evidence from the Four Asian Dragons," Eurasian Journal of Business and Management, Eurasian Publications, vol. 10(2), pages 101-115.
  • Handle: RePEc:ejn:ejbmjr:v:10:y:2022:i:2:p:101-115
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    1. Rob Bauer & Mathijs Cosemans & Peter C. Schotman, 2010. "Conditional Asset Pricing and Stock Market Anomalies in Europe," European Financial Management, European Financial Management Association, vol. 16(2), pages 165-190, March.
    2. Akbas, Ferhat & Armstrong, Will J. & Sorescu, Sorin & Subrahmanyam, Avanidhar, 2015. "Smart money, dumb money, and capital market anomalies," Journal of Financial Economics, Elsevier, vol. 118(2), pages 355-382.
    3. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    4. Fernandez-Rodriguez, Fernando & Gonzalez-Martel, Christian & Sosvilla-Rivero, Simon, 2000. "On the profitability of technical trading rules based on artificial neural networks:: Evidence from the Madrid stock market," Economics Letters, Elsevier, vol. 69(1), pages 89-94, October.
    5. Serletis, Apostolos & Rosenberg, Aryeh Adam, 2009. "Mean reversion in the US stock market," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 2007-2015.
    6. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    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. Narayan, Paresh Kumar & Zheng, Xinwei, 2010. "Market liquidity risk factor and financial market anomalies: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 509-520, November.
    9. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
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