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Two-period trading sentiment asset pricing model with information

  • Yang, Chunpeng
  • Li, Jinfang
Registered author(s):

    We present a dynamic asset pricing model with investor sentiment and information, which shows that the investor sentiment plays a systematic and important role in the asset prices and the information is gradually incorporated into prices. The model has an analytical solution to the sentiment equilibrium price. We find that sentiment trading quantity not only increases the market liquidity, but also causes the asset prices' overreaction if the intensity of sentiment demand is more than a constant value. Therefore, the continuing overreactions result in a short-term momentum and a long-term reversal. The model could offer a partial explanation to some financial anomalies such as price bubbles, high volatility, asset prices' overreaction and so on.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0264999313003787
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    Article provided by Elsevier in its journal Economic Modelling.

    Volume (Year): 36 (2014)
    Issue (Month): C ()
    Pages: 1-7

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    Handle: RePEc:eee:ecmode:v:36:y:2014:i:c:p:1-7
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/30411

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    1. Yang, Chunpeng & Zhang, Rengui, 2013. "Sentiment asset pricing model with consumption," Economic Modelling, Elsevier, vol. 30(C), pages 462-467.
    2. Brock Mendel & Andrei Shleifer, 2010. "Chasing Noise," NBER Working Papers 16042, National Bureau of Economic Research, Inc.
    3. 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.
    4. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1988. "The Survival of Noise Traders in Financial Markets," NBER Working Papers 2715, National Bureau of Economic Research, Inc.
    5. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    6. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    7. Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997. "A Model of Investor Sentiment," NBER Working Papers 5926, National Bureau of Economic Research, Inc.
    8. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    9. Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
    10. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    11. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-38, August.
    12. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    13. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross-Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, 08.
    14. Ganzach, Yoav, 2000. "Judging Risk and Return of Financial Assets," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(2), pages 353-370, November.
    15. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    16. Hongjun Yan, 2008. "Is Noise Trading Cancelled Out by Aggregation?," Yale School of Management Working Papers amz2604, Yale School of Management, revised 01 Jan 2009.
    17. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    18. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
    19. Black, Fischer, 1986. " Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-43, July.
    20. Yang, Chunpeng & Zhang, Rengui, 2013. "Dynamic asset pricing model with heterogeneous sentiments," Economic Modelling, Elsevier, vol. 33(C), pages 248-253.
    21. Yang, Chunpeng & Li, Jinfang, 2013. "Investor sentiment, information and asset pricing model," Economic Modelling, Elsevier, vol. 35(C), pages 436-442.
    22. Nicholas Seybert & Holly I. Yang, 2012. "The Party's Over: The Role of Earnings Guidance in Resolving Sentiment-Driven Overvaluation," Management Science, INFORMS, vol. 58(2), pages 308-319, February.
    23. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    24. Wang, Jiang, 1993. "A Model of Intertemporal Asset Prices under Asymmetric Information," Review of Economic Studies, Wiley Blackwell, vol. 60(2), pages 249-82, April.
    25. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
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