IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v44y2020i2d10.1007_s12197-019-09489-1.html
   My bibliography  Save this article

Is the flow-performance relationship really convex? - The impact of data treatment and model specification

Author

Listed:
  • Alexander Schiller

    (University of Regensburg)

  • René-Ojas Woltering

    (HES-SO University of Applied Sciences and Arts Western Switzerland)

  • Steffen Sebastian

    (University of Regensburg)

Abstract

This paper challenges the convexity of the flow-performance relationship, according to which investors strongly chase top-performing funds, while fund flows exhibit little to no sensitivity to past performance within the segment of poorly performing funds. Our results suggest that the flow-performance relationship is not convex, but rather linear. In contrast to prior studies, we use reported (i.e., exact) instead of approximated fund flow data, we trim (instead of winsorize) outliers, and we account for persistence in fund flows. We find that each factor contributes to serious biases. For example, investor reactions to poor performance only appear insignificant when outliers are winsorized instead of trimmed. And it is even more evident that fund investors flee poorly performing funds when the model incorporates lagged flows to account for fund flow persistence. Furthermore, our results provide evidence that the degree to which investors chase top-performing funds appears to be slightly upward biased if approximated fund flows are used. Our findings have important implications for the potential moral hazard of fund managers.

Suggested Citation

  • Alexander Schiller & René-Ojas Woltering & Steffen Sebastian, 2020. "Is the flow-performance relationship really convex? - The impact of data treatment and model specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 300-320, April.
  • Handle: RePEc:spr:jecfin:v:44:y:2020:i:2:d:10.1007_s12197-019-09489-1
    DOI: 10.1007/s12197-019-09489-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12197-019-09489-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12197-019-09489-1?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Clifford, Christopher P. & Jordan, Bradford D. & Riley, Timothy B., 2014. "Average funds versus average dollars: Implications for mutual fund research," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 249-260.
    2. Ippolito, Richard A, 1992. "Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 35(1), pages 45-70, April.
    3. Spiegel, Matthew & Zhang, Hong, 2013. "Mutual fund risk and market share-adjusted fund flows," Journal of Financial Economics, Elsevier, vol. 108(2), pages 506-528.
    4. Ferreira, Miguel A. & Keswani, Aneel & Miguel, Antonio F. & Ramos, Sofia B., 2012. "The flow-performance relationship around the world," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1759-1780.
    5. Chevalier, Judith & Ellison, Glenn, 1997. "Risk Taking by Mutual Funds as a Response to Incentives," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1167-1200, December.
    6. George Cashman & Federico Nardari & Daniel Deli & Sriram Villupuram, 2014. "Investor behavior in the mutual fund industry: evidence from gross flows," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 541-567, October.
    7. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    8. 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.
    9. Guercio, Diane Del & Tkac, Paula A., 2002. "The Determinants of the Flow of Funds of Managed Portfolios: Mutual Funds vs. Pension Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(4), pages 523-557, December.
    10. Jennifer Huang & Kelsey D. Wei & Hong Yan, 2007. "Participation Costs and the Sensitivity of Fund Flows to Past Performance," Journal of Finance, American Finance Association, vol. 62(3), pages 1273-1311, June.
    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. 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.
    13. Brown, Keith C & Harlow, W V & Starks, Laura T, 1996. "Of Tournaments and Temptations: An Analysis of Managerial Incentives in the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 51(1), pages 85-110, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Klinkowska, Olga & Zhao, Yuan, 2023. "Fund flows and performance: New evidence from retail and institutional SRI mutual funds," International Review of Financial Analysis, Elsevier, vol. 87(C).

    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. Clemens Sialm & T. Mandy Tham, 2016. "Spillover Effects in Mutual Fund Companies," Management Science, INFORMS, vol. 62(5), pages 1472-1486, May.
    2. Yong Chen & Nan Qin, 2017. "The Behavior of Investor Flows in Corporate Bond Mutual Funds," Management Science, INFORMS, vol. 63(5), pages 1365-1384, May.
    3. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
    4. Martin Rohleder & Dominik Schulte & Marco Wilkens, 2017. "Management of flow risk in mutual funds," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 31-56, January.
    5. Galla Salganik-Shoshan, 2016. "Investment flows: Retail versus institutional mutual funds," Journal of Asset Management, Palgrave Macmillan, vol. 17(1), pages 34-44, January.
    6. Mazur, Mieszko & Salganik-Shoshan, Galla & Zagonov, Maxim, 2017. "Comparing performance sensitivity of retail and institutional mutual funds’ investment flows," Finance Research Letters, Elsevier, vol. 22(C), pages 66-73.
    7. Ramiro Losada, 2022. "La información pública periódica de los fondos de inversión: como influyen en las decisiones de los inversores," CNMV Documentos de Trabajo CNMV Documentos de Trabaj, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas.
    8. Jun, Xiao & Li, Mingsheng & Shi, Jing, 2014. "Volatile market condition and investor clientele effects on mutual fund flow performance relationship," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 310-334.
    9. Ramiro Losada, 2022. "Periodic public information on investment funds and how it influences investors´ decisions," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    10. Servaes, Henri & Sigurdsson, Kari, 2022. "The Costs and Benefits of Performance Fees in Mutual Funds," Journal of Financial Intermediation, Elsevier, vol. 50(C).
    11. Shinozawa, Yoshikatsu & Vivian, Andrew, 2015. "Determinants of money flows into investment trusts in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 138-161.
    12. Philippe van der Beck & Jean-Philippe Bouchaud & Dario Villamaina, 2024. "Ponzi Funds," Papers 2405.12768, arXiv.org.
    13. David H. Downs & Steffen Sebastian & Christian Weistroffer & René-Ojas Woltering, 2016. "Real Estate Fund Flows and the Flow-Performance Relationship," The Journal of Real Estate Finance and Economics, Springer, vol. 52(4), pages 347-382, May.
    14. Fulkerson, Jon A. & Riley, Timothy B., 2019. "Portfolio concentration and mutual fund performance," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 1-16.
    15. Lan, Chunhua & Moneta, Fabio & Wermers, Russ, 2018. "Holding Horizon: A New Measure of Active Investment Management," CFR Working Papers 15-06, University of Cologne, Centre for Financial Research (CFR), revised 2018.
    16. Anthony Tay & Jacques Olivier, 2008. "Time-Varying Incentives in the Mutual Fund Industry," Working Papers 10-2008, Singapore Management University, School of Economics, revised Jun 2008.
    17. Martin Rohleder, 2015. "The Relation between Past Flows and Future Performance: Simple Investment Strategies in the Mutual Fund Sector," IJFS, MDPI, vol. 3(1), pages 1-28, February.
    18. Scheckenbach, Isabel & Wimmer, Maximilian & Dorfleitner, Gregor, 2021. "The higher you fly, the harder you try not to fall: An analysis of the risk taking behavior in social trading," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 239-259.
    19. Ber, Silke & Kempf, Alexander & Ruenzi, Stefan, 2005. "Determinanten der Mittelzuflüsse bei deutschen Aktienfonds," CFR Working Papers 05-11, University of Cologne, Centre for Financial Research (CFR).
    20. Carmen Pilar Martí Ballester, 2014. "Determinants of equity pension plan flows," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 125-148, June.

    More about this item

    Keywords

    Mutual funds; Fund flows; Flow-performance relationship;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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

    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:spr:jecfin:v:44:y:2020:i:2:d:10.1007_s12197-019-09489-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.