IDEAS home Printed from https://ideas.repec.org/a/eee/finmar/v77y2026ics1386418125000497.html

Extreme fund performance and investor divergence in beliefs about manager skill

Author

Listed:
  • Zhan, Yaosong
  • Zhang, Wenwen
  • Liu, Zhenya

Abstract

Extreme fund performance creates divergent investor opinions about manager skill. We develop a model predicting that this disagreement follows a U-shaped pattern, increasing with both exceptionally good and poor performance. Using a flow-based divergence index and Chinese mutual fund data, we empirically confirm this relationship. We argue that this pattern is driven by retail investors, whose tendency to focus on extreme outcomes amplifies their disagreement. Higher divergence predicts weaker future performance persistence but also helps investors improve their realized returns by allowing them to exit funds before subsequent downturns.

Suggested Citation

  • Zhan, Yaosong & Zhang, Wenwen & Liu, Zhenya, 2026. "Extreme fund performance and investor divergence in beliefs about manager skill," Journal of Financial Markets, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:finmar:v:77:y:2026:i:c:s1386418125000497
    DOI: 10.1016/j.finmar.2025.101009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1386418125000497
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.finmar.2025.101009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    2. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    3. Adem Atmaz & Suleyman Basak, 2018. "Belief Dispersion in the Stock Market," Journal of Finance, American Finance Association, vol. 73(3), pages 1225-1279, June.
    4. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LLC, vol. 15(1), pages 121-134, March.
    5. Campbell R. Harvey & Yan Liu, 2022. "Luck versus Skill in the Cross Section of Mutual Fund Returns: Reexamining the Evidence," Journal of Finance, American Finance Association, vol. 77(3), pages 1921-1966, June.
    6. 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.
    7. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.
    8. Carlin, Bruce I. & Longstaff, Francis A. & Matoba, Kyle, 2014. "Disagreement and asset prices," Journal of Financial Economics, Elsevier, vol. 114(2), pages 226-238.
    9. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2009. "Dispersion in analysts' earnings forecasts and credit rating," Journal of Financial Economics, Elsevier, vol. 91(1), pages 83-101, January.
    10. Pastor, Lubos & Stambaugh, Robert F., 2002. "Mutual fund performance and seemingly unrelated assets," Journal of Financial Economics, Elsevier, vol. 63(3), pages 315-349, March.
    11. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    12. Snehal Banerjee, 2011. "Learning from Prices and the Dispersion in Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3025-3068.
    13. Itzhak Ben-David & Jiacui Li & Andrea Rossi & Yang Song, 2022. "What Do Mutual Fund Investors Really Care About?," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1723-1774.
    14. Goetzmann, William N. & Massa, Massimo, 2005. "Dispersion of opinion and stock returns," Journal of Financial Markets, Elsevier, vol. 8(3), pages 324-349, August.
    15. Richard B Evans & Yang Sun & Lauren Cohen, 2021. "Models or Stars: The Role of Asset Pricing Models and Heuristics in Investor Risk Adjustment," Review of Economic Studies, Oxford University Press, vol. 34(1), pages 67-107.
    16. C. Wei Li & Ashish Tiwari & Lin Tong, 2017. "Investment Decisions Under Ambiguity: Evidence from Mutual Fund Investor Behavior," Management Science, INFORMS, vol. 63(8), pages 2509-2528, August.
    17. Richard B Evans & Yang Sun, 2021. "Models or Stars: The Role of Asset Pricing Models and Heuristics in Investor Risk Adjustment [Which factors matter to investors? evidence from mutual fund flows]," The Review of Financial Studies, Society for Financial Studies, vol. 34(1), pages 67-107.
    18. Jennifer Huang & Kelsey D. Wei & Hong Yan, 2022. "Investor learning and mutual fund flows," Financial Management, Financial Management Association International, vol. 51(3), pages 739-765, September.
    19. Junjun Ma & Xindan Li & Lei Lu & Weixing Wu & Xiong Xiong, 2022. "Individual investors' dispersion in beliefs and stock returns," Financial Management, Financial Management Association International, vol. 51(3), pages 929-953, September.
    20. Jon A. Garfinkel, 2009. "Measuring Investors' Opinion Divergence," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 47(5), pages 1317-1348, December.
    21. Fisher, Mark & Jensen, Mark J., 2022. "Bayesian nonparametric learning of how skill is distributed across the mutual fund industry," Journal of Econometrics, Elsevier, vol. 230(1), pages 131-153.
    22. Friesen, Geoffrey C. & Sapp, Travis R.A., 2007. "Mutual fund flows and investor returns: An empirical examination of fund investor timing ability," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2796-2816, September.
    23. Yu, Jialin, 2011. "Disagreement and return predictability of stock portfolios," Journal of Financial Economics, Elsevier, vol. 99(1), pages 162-183, January.
    24. Hendricks, Darryll & Patel, Jayendu & Zeckhauser, Richard, 1993. "Hot Hands in Mutual Funds: Short-Run Persistence of Relative Performance, 1974-1988," Journal of Finance, American Finance Association, vol. 48(1), pages 93-130, March.
    25. 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.
    26. Christopher Schwarz & Zheng Sun, 2023. "How Fast Do Investors Learn? Asset Management Investors and Bayesian Learning," The Review of Financial Studies, Society for Financial Studies, vol. 36(6), pages 2397-2430.
    27. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    28. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 44(1), pages 85-112, March.
    29. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    30. Darwin Choi & Bige Kahraman & Abhiroop Mukherjee, 2016. "Learning about Mutual Fund Managers," Journal of Finance, American Finance Association, vol. 71(6), pages 2809-2860, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Zhiwei & Yang, Yinan & Zhang, Teng, 2026. "Investor disagreement and state-dependent mispricing: New evidence on the analyst dispersion anomaly," Journal of Banking & Finance, Elsevier, vol. 182(C).
    2. Shan, Junhui & Xiang, Rui & Liu, Li & Zhang, Chaoyi & Zhang, Ping, 2025. "Cross-section return dispersion and flow-performance sensitivity: Evidence from Chinese mutual fund," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
    3. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
    4. Sophia Zhengzi Li & Zeyao Luan, 2025. "News-based investor disagreement and stock returns," Review of Accounting Studies, Springer, vol. 30(3), pages 2312-2375, September.
    5. Malik, Ali K. & Colak, Gonul & Löflund, Anders, 2024. "Gold, platinum, and mutual fund flows," Journal of Empirical Finance, Elsevier, vol. 79(C).
    6. Junjun Ma & Xindan Li & Lei Lu & Weixing Wu & Xiong Xiong, 2022. "Individual investors' dispersion in beliefs and stock returns," Financial Management, Financial Management Association International, vol. 51(3), pages 929-953, September.
    7. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    8. Turan G. Bali & Luca Del Viva & Menatalla El Hefnawy & Lenos Trigeorgis, 2024. "Value Uncertainty," Management Science, INFORMS, vol. 70(7), pages 4548-4563, July.
    9. Kronlund, Mathias & Pool, Veronika K. & Sialm, Clemens & Stefanescu, Irina, 2021. "Out of sight no more? The effect of fee disclosures on 401(k) investment allocations," Journal of Financial Economics, Elsevier, vol. 141(2), pages 644-668.
    10. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.
    12. repec:bge:wpaper:1245 is not listed on IDEAS
    13. Claire Yurong Hong & Xiaomeng Lu & Jun Pan, 2025. "Fintech Platforms and Mutual Fund Distribution," Management Science, INFORMS, vol. 71(1), pages 488-517, January.
    14. Hu, Yingyi & Zhao, Tiao & Zhang, Lin, 2020. "Noise trading, institutional trading, and opinion divergence: Evidence on intraday data in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 74-89.
    15. Michel Verlaine, 2022. "Behavioral finance and the architecture of the asset management industry," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1454-1476, December.
    16. Cao, Jie & Hsu, Jason C. & Song, Linjia & Xiao, Zhanbing & Zhan, Xintong, 2025. "Smart beta, “smarter” flows," Journal of Empirical Finance, Elsevier, vol. 81(C).
    17. Jeffrey Hobbs & Hei Wai Lee & Vivek Singh, 2017. "New evidence on the effect of belief heterogeneity on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 289-309, February.
    18. Rakowski, David & Yamani, Ehab, 2021. "Endogeneity in the mutual fund flow–performance relationship: An instrumental variables solution," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 247-271.
    19. Omori, Kozo & Kitamura, Tomoki, 2023. "Investor response to Morningstar's ratings, category information, and alpha in the Japanese mutual fund market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    20. Yang Song, 2020. "The Mismatch Between Mutual Fund Scale and Skill," Journal of Finance, American Finance Association, vol. 75(5), pages 2555-2589, October.
    21. Chen, Tao, 2020. "Does news affect disagreement in global markets?," Journal of Business Research, Elsevier, vol. 109(C), pages 174-183.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finmar:v:77:y:2026:i:c:s1386418125000497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/finmar .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.