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Asymmetric positive feedback trading and stock pricing in China

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  • Liu, Xufeng
  • Wan, Die

Abstract

Defining asymmetry of feedback trading (AFC) as the difference between buying-winners and selling-losers intensities, the paper investigates if AFC impacts stock pricing. We show that buying stocks with low AFC and selling stocks with high AFC makes significant positive returns after controlling traditional pricing factors. The return mainly comes from the long leg and cannot be simply attributed to either mispricing, liquidity, or risk premium. Further study shows that the negative impact of AFC on future stock return is reinforced with an increase in past returns, maximum daily return, relative valuation level, asset growth rate, or operating profit rate. As AFC represents retail trading intensity, the results imply that the inactiveness of retail investors may make price relative underreaction to good news and thus lead to positive expected stock return.

Suggested Citation

  • Liu, Xufeng & Wan, Die, 2022. "Asymmetric positive feedback trading and stock pricing in China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000183
    DOI: 10.1016/j.najef.2022.101658
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    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    3. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    4. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    5. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    6. Huang, Alan Guoming & Sun, Kevin Jialin, 2019. "Equity financing restrictions and the asset growth effect: International vs. Asian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    7. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    8. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    9. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    10. 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.
    11. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    12. Veronica Guerrieri & Robert Shimer, 2014. "Dynamic Adverse Selection: A Theory of Illiquidity, Fire Sales, and Flight to Quality," American Economic Review, American Economic Association, vol. 104(7), pages 1875-1908, July.
    13. Huang, Yuqin & Qiu, Huiyan & Wu, Zhiguo, 2016. "Local bias in investor attention: Evidence from China's Internet stock message boards," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 338-354.
    14. Chung, Chune Young & Wang, Kainan, 2016. "The impact of individual investor trading on information asymmetry in the Korean stock market," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 472-484.
    15. Die Wan & Xiaoguang Yang, 2017. "High†Frequency Positive Feedback Trading and Market Quality: Evidence from China's Stock Market," International Review of Finance, International Review of Finance Ltd., vol. 17(4), pages 493-523, December.
    16. 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 703-738, August.
    17. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    18. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    19. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    20. Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
    21. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    22. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    23. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    24. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    25. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    26. Abudy, Menachem Meni, 2020. "Retail investors’ trading and stock market liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    27. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    28. Hou, Yang & Li, Steven, 2014. "The impact of the CSI 300 stock index futures: Positive feedback trading and autocorrelation of stock returns," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 319-337.
    29. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," Review of Finance, European Finance Association, vol. 33(4), pages 1673-1736.
    30. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    31. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    32. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    33. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    34. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2014. "Short-selling, margin-trading, and price efficiency: Evidence from the Chinese market," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 411-424.
    35. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    36. 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.
    37. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    38. 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.
    39. Chou, Pin-Huang & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2019. "Asset growth, style investing, and momentum," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 108-124.
    40. Nicholas C. Barberis, 2018. "Psychology-based Models of Asset Prices and Trading Volume," NBER Working Papers 24723, National Bureau of Economic Research, Inc.
    41. Watanabe, Akiko & Xu, Yan & Yao, Tong & Yu, Tong, 2013. "The asset growth effect: Insights from international equity markets," Journal of Financial Economics, Elsevier, vol. 108(2), pages 529-563.
    42. Gregory Koutmos, 2014. "Positive feedback trading: a review," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 6(2), pages 155-162, November.
    43. 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.
    44. Gang, Jianhua & Qian, Zongxin & Xu, Tiange, 2019. "Investment horizons, cash flow news, and the profitability of momentum and reversal strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 83(C), pages 364-371.
    45. Xu, Feng & Wan, Difang, 2015. "The impacts of institutional and individual investors on the price discovery in stock index futures market: Evidence from China," Finance Research Letters, Elsevier, vol. 15(C), pages 221-231.
    46. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    47. Jiang, Fuwei & Qi, Xinlin & Tang, Guohao, 2018. "Q-theory, mispricing, and profitability premium: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 135-149.
    48. 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.
    49. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    50. Li Pan & Ya Tang & Jianguo Xu, 2016. "Speculative Trading and Stock Returns," Review of Finance, European Finance Association, vol. 20(5), pages 1835-1865.
    51. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    52. Zhang, Bing & Wang, Yudong, 2015. "Limited attention of individual investors and stock performance: Evidence from the ChiNext market," Economic Modelling, Elsevier, vol. 50(C), pages 94-104.
    53. Wang, Yifeng & Liu, Cheyuan & Lee, Jen-Sin & Wang, Yanming, 2015. "The relation between asset growth and the cross-section of stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 44(C), pages 59-67.
    54. 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.
    55. Ni, Xiaoran & Yin, Sirui, 2020. "The unintended real effects of short selling in an emerging market," Journal of Corporate Finance, Elsevier, vol. 64(C).
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