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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.

Suggested Citation

  • 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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    1. Keith Kuester & Stefan Mittnik & Marc S. Paolella, 2006. "Value-at-Risk Prediction: A Comparison of Alternative Strategies," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(1), pages 53-89.
    2. Fan, Ying & Zhang, Yue-Jun & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Estimating 'Value at Risk' of crude oil price and its spillover effect using the GED-GARCH approach," Energy Economics, Elsevier, vol. 30(6), pages 3156-3171, November.
    3. Kim Liow & Zhiwei Chen & Jingran Liu, 2011. "Multiple Regimes and Volatility Transmission in Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 295-328, April.
    4. Hong, Yongmiao & Liu, Yanhui & Wang, Shouyang, 2009. "Granger causality in risk and detection of extreme risk spillover between financial markets," Journal of Econometrics, Elsevier, vol. 150(2), pages 271-287, June.
    5. Jian Zhou & Randy Anderson, 2012. "Extreme Risk Measures for International REIT Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(1), pages 152-170, June.
    6. Hossein Asgharian & Christoffer Bengtsson, 2006. "Jump Spillover in International Equity Markets," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(2), pages 167-203.
    7. Tae-Hwy Lee & Yong Bao & Burak Saltoglu, 2006. "Evaluating predictive performance of value-at-risk models in emerging markets: a reality check," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 101-128.
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Fran├žois Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    10. Martin Hoesli & Kustrim Reka, 2013. "Volatility Spillovers, Comovements and Contagion in Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 1-35, July.
    11. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    12. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    13. repec:arz:wpaper:eres2011-63 is not listed on IDEAS
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Lu, Chiuling & Wu, Sheng-Ching & Ho, Lan-Chih, 2009. "Applying VaR to REITs: A comparison of alternative methods," Review of Financial Economics, Elsevier, vol. 18(2), pages 97-102, April.
    16. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    17. David Michayluk & Patrick J. Wilson & Ralf Zurbruegg, 2006. "Asymmetric Volatility, Correlation and Returns Dynamics Between the U.S. and U.K. Securitized Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(1), pages 109-131, March.
    18. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
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