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Investor Sentiment and Mutual Fund Strategies

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  • Massa, Massimo
  • Yadav, Vijay

Abstract

We show that mutual funds employ portfolio strategies based on market sentiment. We build a proxy for the degree of a fund’s sentiment beta (or FSB). The low-FSB funds outperform high-FSB funds, even after controlling for standard risk factors and fund characteristics. This effect is sizable and delivers a net-of-risk performance of 3.8% per year. Funds with a lower FSB follow more idiosyncratic strategies, suggesting that FSB is a deliberate, active choice of the fund manager. A sentiment contrarian strategy leads to high flows due to its superior performance, whereas a sentiment catering strategy fails to attract significant investor flows.

Suggested Citation

  • Massa, Massimo & Yadav, Vijay, 2015. "Investor Sentiment and Mutual Fund Strategies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(4), pages 699-727, August.
    • Handle: RePEc:cup:jfinqa:v:50:y:2015:i:04:p:699-727_00
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    Cited by:

    1. Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2021. "Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1593-1621, May.
    2. Gehde-Trapp, Monika & Klingler, Linda, 2022. "The effect of sentiment on institutional investors: A gender analysis," CFR Working Papers 22-08, University of Cologne, Centre for Financial Research (CFR).
    3. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
    4. Jian Wang & Yanhuang Huang & Hongrui Feng & Jun Yang, 2023. "The effect of customer concentration on stock sentiment risk," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 565-606, February.
    5. Wagner, Moritz & Lee, John Byong-Tek & Margaritis, Dimitris, 2022. "Mutual fund flows and seasonalities in stock returns," Journal of Banking & Finance, Elsevier, vol. 144(C).
    6. Ford, Jansson M. & Gehricke, Sebastian A. & Zhang, Jin E., 2022. "Option traders are concerned about climate risks: ESG ratings and short-term sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    7. Xufeng Liu & Die Wan, 2022. "Does short‐selling affect mutual fund shareholdings? Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1887-1923, April.
    8. Hoang, Lai T. & Tan, Eric K.M. & Yang, Joey W., 2024. "The investment behavior of China-connected mutual funds in the pandemic: Information advantage through operational link," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    9. Erdemlioglu, Deniz & Joliet, Robert, 2019. "Long-term asset allocation, risk tolerance and market sentiment," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 1-19.
    10. Feng Dong, 0. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-22.
    11. Casavecchia, Lorenzo, 2016. "Fund managers' herding and the sensitivity of fund flows to past performance," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 205-221.
    12. Ngoc Bao Vuong, Yoshihisa Suzuki, 2020. "Does Fear has Stronger Impact than Confidence on Stock Returns?The Case of Asia-Pacific Developed Markets," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67, pages 157-175, July.
    13. Gady Jacoby & Chi Liao & Nanying Lin & Lei Lu, 2024. "Sentiment and the cross‐section of expected stock returns," The Financial Review, Eastern Finance Association, vol. 59(2), pages 459-485, May.
    14. Qiang Bu & Odd J. Stalebrink, 2020. "Can fund sentiment beta predict future performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 524-534, October.
    15. Arbab Khalid Cheema & Wenjie Ding & Qingwei Wang, 2023. "The cross-section of January effect," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 513-530, October.
    16. Qifei Zhu, 2020. "The Missing New Funds," Management Science, INFORMS, vol. 66(3), pages 1193-1204, March.
    17. Padma Kadiyala, 2022. "Response of ETF flows and long-run returns to investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 489-531, December.
    18. Feng Dong, 2020. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 467-488, September.
    19. Supramono Supramono & Widhiastuti Wilis & I. Utami, 2017. "Market Reaction to Cabinet Reshuffle: The Indonesian Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 183-188.
    20. Wu, Xiting & Jiang, Haiyan & Lin, Hui & You, Jiaxing, 2023. "Why Muddy the Water? Short selling and the disclosure of proprietary information," The British Accounting Review, Elsevier, vol. 55(4).
    21. Kaniel, Ron & Lin, Zihan & Pelger, Markus & Van Nieuwerburgh, Stijn, 2023. "Machine-learning the skill of mutual fund managers," Journal of Financial Economics, Elsevier, vol. 150(1), pages 94-138.
    22. Paudel, Shishir & Silveri, Sabatino (Dino) & Wu, Mark, 2022. "Investor sentiment and asset prices: Evidence from the ex-day," Journal of Banking & Finance, Elsevier, vol. 139(C).
    23. Yi, Shangkun & Wang, Jian & Wang, Xiaoting & Feng, Hongrui, 2022. "CEO political connection and stock sentiment beta: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    24. Islam, Mohd. Anisul, 2021. "Investor sentiment in the equity market and investments in corporate-bond funds," International Review of Financial Analysis, Elsevier, vol. 78(C).

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