Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-642-02956-1_10.html
   My bibliography  Save this book chapter

Mutual Funds Flows and the “Sheriff of Nottingham” Effect

In: Artificial Economics

Author

Listed:
  • Lucia Milone

    (University Ca’ Foscari of Venice)

  • Paolo Pellizzari

    (University Ca’ Foscari of Venice)

Abstract
Investors in mutual funds appear to reward disproportionately the best performing funds with large inflows while, at the same time, avoid to withdraw similar amounts from the poorly managed funds. We show that this peculiar flat-convex shape of the flow-performance curve for mutual funds can be generally explained by a model where profit chasing customers punish the bad funds by switching a fraction of their wealth to the best ones (“Sheriff of Nottingham” effect). In the absence of external flows, the model provably produces a constant curve when the standard deviation of excess returns is much larger than the level of the returns. This for the most part explains the apparent insensitivity of flows to below-average returns. The introduction of exogenous injections of money invested in the top funds complete the model and provides a realistic increase in the flows of the funds yielding above-average returns. We finally show by simulation that our results are robust to variations in the values of the parameters of the model.

Suggested Citation

  • Lucia Milone & Paolo Pellizzari, 2009. "Mutual Funds Flows and the “Sheriff of Nottingham” Effect," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 117-128, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-02956-1_10
    DOI: 10.1007/978-3-642-02956-1_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June.
    2. Arthur, W.B. & Holland, J.H. & LeBaron, B. & Palmer, R. & Tayler, P., 1996. "Asset Pricing Under Endogenous Expectations in an Artificial Stock Market," Working papers 9625, Wisconsin Madison - Social Systems.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Anthony W. Lynch & David K. Musto, 2003. "How Investors Interpret Past Fund Returns," Journal of Finance, American Finance Association, vol. 58(5), pages 2033-2058, October.
    5. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    6. Guercio, Diane Del & Tkac, Paula A., 2008. "Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 907-936, December.
    7. Jonathan B. Berk & Ian Tonks, 2007. "Return Persistence and Fund Flows in the Worst Performing Mutual Funds," NBER Working Papers 13042, National Bureau of Economic Research, Inc.
    8. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    9. W. Brian Arthur & Paul Tayler, "undated". "Asset Pricing Under Endogenous Expectations in an Artificial Stock Market," Computing in Economics and Finance 1997 57, Society for Computational Economics.
    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. Ron Bird & Paolo Pellizzari & Danny Yeung & Paul Woolley, 2012. "The Strategic Implementation of an Investment Process in a Funds Management Firm," Working Paper Series 17, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.

    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. Ainulashikin Marzuki & Andrew C. Worthington, 2011. "Comparative fund flows for Malaysian Islamic and conventional domestic managed equity funds," Discussion Papers in Finance finance:201118, Griffith University, Department of Accounting, Finance and Economics.
    2. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    3. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    4. Bessler, Wolfgang & Blake, David & Lückoff, Peter & Tonks, Ian, 2010. "Why does mutual fund performance not persist? The impact and interaction of fund flows and manager changes," MPRA Paper 34185, University Library of Munich, Germany.
    5. 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.
    6. Arvid Oskar Ivar Hoffmann & Wander Jager & J. H. Von Eije, 2007. "Social Simulation of Stock Markets: Taking It to the Next Level," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-7.
    7. J. Doyne Farmer & Andrew W. Lo, 1999. "Frontiers of Finance: Evolution and Efficient Markets," Working Papers 99-06-039, Santa Fe Institute.
    8. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2017. "Heterogeneity and Self-Organization of Complex Systems Through an Application to Financial Market with Multiagent Systems," Post-Print hal-02114933, HAL.
    9. Anthony Tay, 2008. "Time-Varying Incentives in the Mutual Fund Industry," Finance Working Papers 22484, East Asian Bureau of Economic Research.
    10. 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.
    11. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2006. "Institutional Investors and Stock Market Volatility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 461-504.
    12. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    13. Andrew Lo & Nicholas Chan & Blake LeBaron & Tomaso Poggio, 1999. "Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders," Computing in Economics and Finance 1999 653, Society for Computational Economics.
    14. Cuthbertson, Keith & Nitzsche, Dirk, 2013. "Performance, stock selection and market timing of the German equity mutual fund industry," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 86-101.
    15. Katahira, Kei & Chen, Yu & Hashimoto, Gaku & Okuda, Hiroshi, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 503-518.
    16. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
    17. Chang, Xiaochen & Guo, Songlin & Huang, Junkai, 2022. "Kidnapped mutual funds: Irrational preference of naive investors and fund incentive distortion," International Review of Financial Analysis, Elsevier, vol. 83(C).
    18. Brock, William A. & Hommes, Cars H. & Wagener, Florian O. O., 2005. "Evolutionary dynamics in markets with many trader types," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 7-42, February.
    19. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
    20. Chueh-Yung Tsao & Ya-Chi Huang, 2018. "Revisiting the issue of survivability and market efficiency with the Santa Fe Artificial Stock Market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 537-560, October.

    More about this item

    Keywords

    Mutual Fund; Constant Curve; Hedge Fund; Excess Return; Good Fund;
    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
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:lnechp:978-3-642-02956-1_10. 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.