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Private information, overconfidence and intraday trading behaviour: empirical study of the Taiwan stock market

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  • Chi Ming Ho

Abstract

This study discusses the interaction between private information, overconfidence and intraday trading behaviour. Six thousand items consisting of 5-minute intervals of microstructure data in Taiwan market were collected and analysed during the period from September 2010 to the end of February 2011. Several important conclusions are obtained after Vector Autoregressive (VAR), Analysis of Variance (ANOVA) and Granger causality analyses of these data. First, when there is more private information in the market, the degree of overconfidence among investors is higher. Second, when private information and turnover rate are considered, the trading volume and return volatility show either a leading or a lagging relationship. Third, the appearance of private information is highest during opening and closing and has a mutual causal relationship with the trading volume. Fourth, the variation of private information reaches its maximum during opening, which is the primary factor that affects return volatility. Fifth, the January effect does not affect the sequence of trading volume and return volatility. Furthermore, return volatility is greatly influenced by the turnover rate; a high overconfidence among investors unfavourably impacts the stable development of the stock market.

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  • Chi Ming Ho, 2013. "Private information, overconfidence and intraday trading behaviour: empirical study of the Taiwan stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(4), pages 325-345, February.
  • Handle: RePEc:taf:apfiec:v:23:y:2013:i:4:p:325-345
    DOI: 10.1080/09603107.2012.720012
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    as
    1. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    2. Gerety, Mason S & Mulherin, J Harold, 1992. "Trading Halts and Market Activity: An Analysis of Volume at the Open and the Close," Journal of Finance, American Finance Association, vol. 47(5), pages 1765-1784, December.
    3. McGroarty, Frank & ap Gwilym, Owain & Thomas, Steve, 2010. "Market structure and microstructure, in international interest rate futures markets," Research in International Business and Finance, Elsevier, vol. 24(3), pages 253-266, September.
    4. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    5. David R. Gallagher & Adrian Looi & Matt Pinnuck, 2010. "Are active fund managers collectors of private information or fast interpreters of public information?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(3), pages 635-662, September.
    6. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
    7. Cooney, John Jr. & Van Ness, Bonnie & Van Ness, Robert, 2003. "Do investors prefer even-eighth prices? Evidence from NYSE limit orders," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 719-748, April.
    8. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    9. Thomakos, Dimitrios D. & Wang, Tao, 2003. "Realized volatility in the futures markets," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 321-353, May.
    10. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    11. Asem, Ebenezer & Tian, Gloria Y., 2010. "Market Dynamics and Momentum Profits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(6), pages 1549-1562, December.
    12. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    13. Chan, Wesley S., 2003. "Stock price reaction to news and no-news: drift and reversal after headlines," Journal of Financial Economics, Elsevier, vol. 70(2), pages 223-260, November.
    14. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    15. Grossman, Sanford J, 1995. "Dynamic Asset Allocation and the Informational Efficiency of Markets," Journal of Finance, American Finance Association, vol. 50(3), pages 773-787, July.
    16. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    17. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    18. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    19. Zhiyao Chen & Robert T. Daigler, 2008. "An examination of the complementary volume–volatility information theories," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(10), pages 963-992, October.
    20. Frino, Alex & Hill, Amelia, 2001. "Intraday futures market behaviour around major scheduled macroeconomic announcements: Australian evidence," Journal of Banking & Finance, Elsevier, vol. 25(7), pages 1319-1337, July.
    21. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    22. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    23. Robert T. Daigler & Marilyn K. Wiley, 1999. "The Impact of Trader Type on the Futures Volatility‐Volume Relation," Journal of Finance, American Finance Association, vol. 54(6), pages 2297-2316, December.
    24. 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.
    25. Cho, Jin-Wan & Krishnan, Murugappa, 2000. "Prices as Aggregators of Private Information: Evidence from S&P 500 Futures Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(1), pages 111-126, March.
    26. Zhiyao Chen & Robert T. Daigler & Ali M. Parhizgari, 2006. "Persistence of volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(6), pages 571-594, June.
    27. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    28. Darrat, Ali F. & Zhong, Maosen & Cheng, Louis T.W., 2007. "Intraday volume and volatility relations with and without public news," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2711-2729, September.
    29. Trueman, Brett, 1986. "Why do managers voluntarily release earnings forecasts?," Journal of Accounting and Economics, Elsevier, vol. 8(1), pages 53-71, March.
    30. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
    31. Su, Yong-Chern & Huang, Han-Ching & Hsu, Ming-Wei, 2010. "Convergence to market efficiency of top gainers," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2230-2237, September.
    32. James Eaves & Jeffrey Williams, 2010. "Are Intraday Volume and Volatility U-Shaped After Accounting for Public Information?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 212-227.
    33. Shu, Pei-Gi & Yeh, Yin-Hua & Chiu, Shean-Bii & Chen, Hsuan-Chi, 2005. "Are Taiwanese individual investors reluctant to realize their losses?," Pacific-Basin Finance Journal, Elsevier, vol. 13(2), pages 201-223, March.
    34. Subrahmanyam, Avanidhar, 1991. "Risk Aversion, Market Liquidity, and Price Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 416-441.
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    1. Ramzi Boussaidi, 2022. "Implications of the overconfidence bias in presence of private information: Evidence from MENA stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3660-3678, July.

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