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Efficiency Of The Taiwan Stock Market

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  • JAMES J. KUNG
  • WING‐KEUNG WONG

Abstract

This study uses two popular technical trading rules to assess whether the gradual liberalization of Taiwan's securities markets has improved the efficiency of its stock market. The results show that the two rules have considerable predictive power for 1983–1990, they become less predictive for 1991–1997, and they cannot predict the market for 1998–2005. These results indicate that the efficiency of Taiwan stock market has been greatly enhanced by the liberalization measures implemented over the last 20 years.

Suggested Citation

  • James J. Kung & Wing‐Keung Wong, 2009. "Efficiency Of The Taiwan Stock Market," The Japanese Economic Review, Japanese Economic Association, vol. 60(3), pages 389-394, September.
    • Handle: RePEc:bla:jecrev:v:60:y:2009:i:3:p:389-394
    DOI: 10.1111/j.1468-5876.2008.00448.x
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    References listed on IDEAS

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    1. Hudson, Robert & Dempsey, Michael & Keasey, Kevin, 1996. "A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1121-1132, July.
    2. 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.
    3. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    4. Lee-Rong Wang & Chung-Hua Shen, 1999. "Do foreign investments affect foreign exchange and stock markets - the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1303-1314.
    5. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    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.
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    Cited by:

    1. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
    2. GUORUI BIAN & MICHAEL McALEER & WING-KEUNG WONG, 2013. "Robust Estimation And Forecasting Of The Capital Asset Pricing Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-18.
    3. Eric S. Fung & Kin Lam & Tak-Kuen Siu & Wing-Keung Wong, 2011. "A Pseudo-Bayesian Model for Stock Returns In Financial Crises," JRFM, MDPI, vol. 4(1), pages 1-31, December.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    5. Chen, David Y. & Li, Tongzhe, 2014. "Financial crises, Asian stock indices, and current accounts: An Asian-U.S. comparative study," Journal of Asian Economics, Elsevier, vol. 34(C), pages 66-78.

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