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Investor sentiment and limits of arbitrage: Evidence from Chinese stock market

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  • Tan, Xiaoyu
  • Zhang, Zili
  • Zhao, Xuejun
  • Wang, Chengxiang

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  • Tan, Xiaoyu & Zhang, Zili & Zhao, Xuejun & Wang, Chengxiang, 2021. "Investor sentiment and limits of arbitrage: Evidence from Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 577-595.
  • Handle: RePEc:eee:reveco:v:75:y:2021:i:c:p:577-595
    DOI: 10.1016/j.iref.2021.04.009
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    1. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    3. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    4. 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.
    5. 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, August.
    6. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    7. Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2015. "Sentiment-prone investors and volatility dynamics between spot and futures markets," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 180-196.
    8. Frank J. Fabozzi & Ahmet K. Karagozoglu & Na Wang, 2017. "Effects of Spot Market Short-Sale Constraints on Index Futures Trading," Review of Finance, European Finance Association, vol. 21(5), pages 1975-2005.
    9. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    10. 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.
    11. repec:oup:rfinst:v:21:y:2017:i:5:p:1975-2005. is not listed on IDEAS
    12. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    13. Kim, Kenneth & Rhee, S Ghon, 1997. "Price Limit Performance: Evidence from the Tokyo Stock Exchange," Journal of Finance, American Finance Association, vol. 52(2), pages 885-899, June.
    14. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    15. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    16. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    17. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," Working Papers 1398, Princeton University, Department of Economics, Econometric Research Program..
    18. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    19. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    20. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    21. John Y. Campbell & Tarun Ramadorai & Tuomo O. Vuolteenaho, 2004. "Caught on Tape: Predicting Institutional Ownership With Order Flow," Harvard Institute of Economic Research Working Papers 2046, Harvard - Institute of Economic Research.
    22. 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.
    23. Tsai, I-Chun, 2017. "Diffusion of optimistic and pessimistic investor sentiment: An empirical study of an emerging market," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 22-34.
    24. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    25. 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.
    26. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    27. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    28. Alexander Kurov, 2008. "Investor Sentiment, Trading Behavior and Informational Efficiency in Index Futures Markets," The Financial Review, Eastern Finance Association, vol. 43(1), pages 107-127, February.
    29. Gu, Ming & Kang, Wenjin & Xu, Bu, 2018. "Limits of arbitrage and idiosyncratic volatility: Evidence from China stock market," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 240-258.
    30. Salman Arif & Charles M. C. Lee, 2014. "Aggregate Investment and Investor Sentiment," The Review of Financial Studies, Society for Financial Studies, vol. 27(11), pages 3241-3279.
    31. Paul Hribar & John McInnis, 2012. "Investor Sentiment and Analysts' Earnings Forecast Errors," Management Science, INFORMS, vol. 58(2), pages 293-307, February.
    32. Ronnie Sadka & Anna Scherbina, 2007. "Analyst Disagreement, Mispricing, and Liquidity," Journal of Finance, American Finance Association, vol. 62(5), pages 2367-2403, October.
    33. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
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    Cited by:

    1. Xiaoyu Tan & Zili Zhang & Xuejun Zhao & Shuyi Wang, 2022. "DeepPricing: pricing convertible bonds based on financial time-series generative adversarial networks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    2. Chen, Jian & Haboub, Ahmad & Khan, Ali, 2024. "Limits of arbitrage and their impact on market efficiency: Evidence from China," Global Finance Journal, Elsevier, vol. 59(C).

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    More about this item

    Keywords

    Investor sentiment; Limits of arbitrage; Overnight returns; Chinese stock market;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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