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Salience theory and mutual fund flows: Empirical evidence from China

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  • Hu, Shiyang
  • Xiang, Cheng
  • Quan, Xiaofeng

Abstract

Using a sample of Chinese mutual funds during 2004–2020, we provide empirical evidence on the salience theory, which argues that individuals' decision weights on risky asset choices are distorted in favor of salient payoffs. Specifically, we document robust and casual impacts of funds' salience theory values on their future flows. The impacts are not explained by investors' attention-driven purchases, funds' lottery-like features, or the characteristics of funds' underlying stocks. Further tests show that the impacts are larger for funds with more shares held by individual investors and are more pronounced when investor sentiment is higher.

Suggested Citation

  • Hu, Shiyang & Xiang, Cheng & Quan, Xiaofeng, 2023. "Salience theory and mutual fund flows: Empirical evidence from China," Emerging Markets Review, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ememar:v:54:y:2023:i:c:s1566014122001054
    DOI: 10.1016/j.ememar.2022.100988
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    as
    1. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    2. Markus Dertwinkel-Kalt & Mats Köster, 2020. "Salience and Skewness Preferences [Risk-neutral Firms can Extract Unbounded Profits from Consumers with Prospect Theory Preferences]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2057-2107.
    3. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    4. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    5. Samuel M. Hartzmark & Abigail B. Sussman, 2019. "Do Investors Value Sustainability? A Natural Experiment Examining Ranking and Fund Flows," Journal of Finance, American Finance Association, vol. 74(6), pages 2789-2837, December.
    6. Sun, Zheng & Wang, Ashley W. & Zheng, Lu, 2018. "Only Winners in Tough Times Repeat: Hedge Fund Performance Persistence over Different Market Conditions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(5), pages 2199-2225, October.
    7. Cary Frydman & Baolian Wang, 2020. "The Impact of Salience on Investor Behavior: Evidence from a Natural Experiment," Journal of Finance, American Finance Association, vol. 75(1), pages 229-276, February.
    8. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    9. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    10. 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.
    11. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    12. 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.
    13. Zhi Da & Umit G. Gurun & Mitch Warachka, 2014. "Frog in the Pan: Continuous Information and Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 27(7), pages 2171-2218.
    14. Dessaint, Olivier & Matray, Adrien, 2017. "Do managers overreact to salient risks? Evidence from hurricane strikes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 97-121.
    15. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    16. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Asset Prices," American Economic Review, American Economic Association, vol. 103(3), pages 623-628, May.
    17. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    18. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    19. Jun, Xiao & Ren, He & Sun, Ping-Wen, 2021. "Deriving managerial skills by dissecting holding changes of mutual funds: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    20. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    21. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    22. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    23. Kelsey D. Wei & Russ Wermers & Tong Yao, 2015. "Uncommon Value: The Characteristics and Investment Performance of Contrarian Funds," Management Science, INFORMS, vol. 61(10), pages 2394-2414, October.
    24. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2011. "Religious beliefs, gambling attitudes, and financial market outcomes," Journal of Financial Economics, Elsevier, vol. 102(3), pages 671-708.
    25. Bradley A. Goldie & Tyler R. Henry & Haimanot Kassa, 2019. "Does MAX matter for mutual funds?," European Financial Management, European Financial Management Association, vol. 25(4), pages 777-806, September.
    26. 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.
    27. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    28. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    29. Akbas, Ferhat & Genc, Egemen, 2020. "Do Mutual Fund Investors Overweight the Probability of Extreme Payoffs in the Return Distribution?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(1), pages 223-261, February.
    30. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2015. "Salience Theory of Judicial Decisions," The Journal of Legal Studies, University of Chicago Press, vol. 44(S1), pages 7-33.
    31. Bali, Turan G. & Brown, Stephen J. & Murray, Scott & Tang, Yi, 2017. "A Lottery-Demand-Based Explanation of the Beta Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2369-2397, December.
    32. Shashwat Alok & Nitin Kumar & Russ Wermers & Harrison Hong, 2020. "Do Fund Managers Misestimate Climatic Disaster Risk," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1146-1183.
    33. Markus K. Brunnermeier & Jonathan A. Parker & Christian Gollier, 2007. "Optimal Beliefs, Asset Prices, and the Preference for Skewed Returns," American Economic Review, American Economic Association, vol. 97(2), pages 159-165, May.
    34. Devdeepta Bose & Henning Cordes & Sven Nolte & Judith Christiane Schneider & Colin Farrell Camerer, 2022. "Decision Weights for Experimental Asset Prices Based on Visual Salience," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5094-5126.
    35. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2012. "Measuring investor sentiment with mutual fund flows," Journal of Financial Economics, Elsevier, vol. 104(2), pages 363-382.
    36. Joel Peress & Daniel Schmidt, 2020. "Glued to the TV: Distracted Noise Traders and Stock Market Liquidity," Journal of Finance, American Finance Association, vol. 75(2), pages 1083-1133, April.
    37. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    38. Michael J. Cooper & Huseyin Gulen & P. Raghavendra Rau, 2005. "Changing Names with Style: Mutual Fund Name Changes and Their Effects on Fund Flows," Journal of Finance, American Finance Association, vol. 60(6), pages 2825-2858, December.
    39. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    40. Michael Firth & Kailong (Philip) Wang & Sonia ML Wong, 2015. "Corporate Transparency and the Impact of Investor Sentiment on Stock Prices," Management Science, INFORMS, vol. 61(7), pages 1630-1647, July.
    41. Li, Tao & Xiang, Cheng & Liu, Zhuo & Cai, Wenwu, 2020. "Annual report disclosure timing and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    42. Ouyang, Liangyi & Cao, Bolong, 2020. "Selective pump-and-dump: The manipulation of their top holdings by Chinese mutual funds around quarter-ends," Emerging Markets Review, Elsevier, vol. 44(C).
    43. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    44. Will J. Armstrong & Egemen Genc & Marno Verbeek, 2019. "Going for Gold: An Analysis of Morningstar Analyst Ratings," Management Science, INFORMS, vol. 67(5), pages 2310-2327, May.
    45. Todd Mitton & Keith Vorkink, 2007. "Equilibrium Underdiversification and the Preference for Skewness," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1255-1288.
    46. Wagner, Moritz & Margaritis, Dimitris, 2017. "All about fun(ds) in emerging markets? The case of equity mutual funds," Emerging Markets Review, Elsevier, vol. 33(C), pages 62-78.
    47. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    48. Hao Jiang & Michela Verardo, 2018. "Does Herding Behavior Reveal Skill? An Analysis of Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 73(5), pages 2229-2269, October.
    49. Nicholas Barberis, 2013. "The Psychology of Tail Events: Progress and Challenges," American Economic Review, American Economic Association, vol. 103(3), pages 611-616, May.
    50. Jiang, Hao & Verardo, Michela, 2018. "Does herding behavior reveal skill? An analysis of mutual fund performance," LSE Research Online Documents on Economics 86372, London School of Economics and Political Science, LSE Library.
    51. Bailey, Warren & Kumar, Alok & Ng, David, 2011. "Behavioral biases of mutual fund investors," Journal of Financial Economics, Elsevier, vol. 102(1), pages 1-27, October.
    52. Xiaomin Li & Colin F Camerer, 2022. "Predictable Effects of Visual Salience in Experimental Decisions and Games," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1849-1900.
    53. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    54. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    55. Da, Zhi & Huang, Xing & Jin, Lawrence J., 2021. "Extrapolative beliefs in the cross-section: What can we learn from the crowds?," Journal of Financial Economics, Elsevier, vol. 140(1), pages 175-196.
    56. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2020. "Lottery-Related Anomalies: The Role of Reference-Dependent Preferences," Management Science, INFORMS, vol. 66(1), pages 473-501, January.
    57. Huang, Qiping & Li, Yongjia & Lin, Meimei & McBrayer, Garrett A., 2022. "Natural disasters, risk salience, and corporate ESG disclosure," Journal of Corporate Finance, Elsevier, vol. 72(C).
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    More about this item

    Keywords

    Salience theory; Limited attention; Mutual fund flows; MAX effect; Lottery preferences;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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