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The conservatism bias in an emerging stock market: Evidence from Taiwan

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  • Wu, Chen-Hui
  • Wu, Chin-Shun
  • Liu, Victor W.

Abstract

Behavioral theories predict that investors underreact to earnings announcements stemming from the conservatism bias and overreact to a string of earnings news due to representativeness heuristic. This paper thus examines trading strategies of buying past high EPS growth stocks and selling past low EPS growth stocks over 4 to 20 quarters. The results generally support conservative reactions in the medium-term horizon, but provide little support for the over-use of representativeness heuristic on the long-term horizon. Moreover, we find that investors react differently to the consistency sequences of the two extreme earnings growth portfolios.

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  • Wu, Chen-Hui & Wu, Chin-Shun & Liu, Victor W., 2009. "The conservatism bias in an emerging stock market: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 494-505, September.
    • Handle: RePEc:eee:pacfin:v:17:y:2009:i:4:p:494-505
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    1. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    2. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    3. Brad M. Barber & Yi‐Tsung Lee & Yu‐Jane Liu & Terrance Odean, 2007. "Is the Aggregate Investor Reluctant to Realise Losses? Evidence from Taiwan," European Financial Management, European Financial Management Association, vol. 13(3), pages 423-447, June.
    4. Asthana, Sharad & Balsam, Steven, 2001. "The effect of EDGAR on the market reaction to 10-K filings," Journal of Accounting and Public Policy, Elsevier, vol. 20(4-5), pages 349-372.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Chan, Wesley S. & Frankel, Richard & Kothari, S.P., 2004. "Testing behavioral finance theories using trends and consistency in financial performance," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 3-50, December.
    7. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    8. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Titman, Sheridan & John Wei, K. C., 1999. "Understanding stock market volatility: The case of Korea and Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 41-66, February.
    11. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    12. Bloomfield, Robert & Hales, Jeffrey, 2002. "Predicting the next step of a random walk: experimental evidence of regime-shifting beliefs," Journal of Financial Economics, Elsevier, vol. 65(3), pages 397-414, September.
    13. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    14. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
    15. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    16. Chui, Andy C. W. & Wei, K. C. John, 1998. "Book-to-market, firm size, and the turn-of-the-year effect: Evidence from Pacific-Basin emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 6(3-4), pages 275-293, August.
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