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An empirical test of individual and institutional trading patterns in Japan, Hong Kong, and Taiwan

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  • Yung-Jang Wang
  • M. Walker

Abstract

We examine the pattern of daily stock returns in Japan, Hong Kong, and Taiwan. Our results support the information-processing hypothesis: Average returns on Monday are lower than on other days of the week, particularly when the previous trading day’s return is negative. Our results also support the positive-feedback-trading hypothesis: Daily returns exhibit positive autocorrelation, particularly when the previous trading day’s return is positive. Further analysis reveals that institutional investors (Japan), individual investors (Taiwan), or both (Hong Kong) can cause these patterns. Our findings are consistent with the relative importance of institutional and individual investors in each of these markets. Copyright Springer 2000

Suggested Citation

  • Yung-Jang Wang & M. Walker, 2000. "An empirical test of individual and institutional trading patterns in Japan, Hong Kong, and Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 24(2), pages 178-194, June.
    • Handle: RePEc:spr:jecfin:v:24:y:2000:i:2:p:178-194
    DOI: 10.1007/BF02752711
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    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Peterson, David R., 1990. "Stock Return Seasonalities and Earnings Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(2), pages 187-201, June.
    4. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    5. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    6. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    7. Paul Brockman & David Michayluk, 1998. "Individual versus institutional investors and the weekend effect," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(1), pages 71-85, March.
    8. Dimson, Elroy & Marsh, Paul, 1986. "Event study methodologies and the size effect : The case of UK press recommendations," Journal of Financial Economics, Elsevier, vol. 17(1), pages 113-142, September.
    9. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    10. Aggarwal, Reena & Rivoli, Pietra, 1989. "Seasonal and Day-of-the-Week Effects in Four Emerging Stock Markets," The Financial Review, Eastern Finance Association, vol. 24(4), pages 541-550, November.
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    Cited by:

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