IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v7y2006i3d10.1057_palgrave.jam.2240213.html
   My bibliography  Save this article

Performance measurement with loss aversion

Author

Listed:
  • Gordon Gemmill

    (Faculty of Finance, Cass Business School)

  • Soosung Hwang

    (Faculty of Finance, Cass Business School)

  • Mark Salmon

    (Faculty of Finance, Cass Business School)

Abstract

This paper explains how prospect theory can be applied to fund performance, extending work by Darsinos and Satchell (Generalising Universal Performance Measures', Risk, 17(6), 80–84, 2004). It then uses data on closed-end funds in the UK to show that the resulting loss-averse performance measure (LAP) gives different rankings from those of conventional measures (such as the Sharpe ratio, Jensen's alpha, the Sortino ratio and the Higher Moment measure). Loss-averse performance has the desirable property of being negatively correlated with the volatility and kurtosis of tracking errors. It is not more closely related to discounts on funds than are conventional measures of performance, however, so no evidence is found that loss-aversion in the short-term is a factor in attracting investors to particular funds.

Suggested Citation

  • Gordon Gemmill & Soosung Hwang & Mark Salmon, 2006. "Performance measurement with loss aversion," Journal of Asset Management, Palgrave Macmillan, vol. 7(3), pages 190-207, September.
  • Handle: RePEc:pal:assmgt:v:7:y:2006:i:3:d:10.1057_palgrave.jam.2240213
    DOI: 10.1057/palgrave.jam.2240213
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jam.2240213
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/palgrave.jam.2240213?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fielding, David & Stracca, Livio, 2007. "Myopic loss aversion, disappointment aversion, and the equity premium puzzle," Journal of Economic Behavior & Organization, Elsevier, vol. 64(2), pages 250-268, October.
    2. William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
    3. Chay, J. B. & Trzcinka, Charles A., 1999. "Managerial performance and the cross-sectional pricing of closed-end funds," Journal of Financial Economics, Elsevier, vol. 52(3), pages 379-408, June.
    4. 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.
    5. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    6. Chen, Zhiwu & Knez, Peter J, 1996. "Portfolio Performance Measurement: Theory and Applications," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 511-555.
    7. Connor, Gregory & Korajczyk, Robert A., 1986. "Performance measurement with the arbitrage pricing theory : A new framework for analysis," Journal of Financial Economics, Elsevier, vol. 15(3), pages 373-394, March.
    8. Gul, Faruk, 1991. "A Theory of Disappointment Aversion," Econometrica, Econometric Society, vol. 59(3), pages 667-686, May.
    9. 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..
    10. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    11. Zweig, Martin E, 1973. "An Investor Expectations Stock Price Predictive Model Using Closed-End Fund Premiums," Journal of Finance, American Finance Association, vol. 28(1), pages 67-78, March.
    12. Glosten, L. R. & Jagannathan, R., 1994. "A contingent claim approach to performance evaluation," Journal of Empirical Finance, Elsevier, vol. 1(2), pages 133-160, January.
    13. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    14. Mark Grinblatt & Sheridan Titman, "undated". "Portfolio Performance Evaluation: Old Issues and New Insights," Rodney L. White Center for Financial Research Working Papers 22-88, Wharton School Rodney L. White Center for Financial Research.
    15. Rudolf, Markus & Wolter, Hans-Jurgen & Zimmermann, Heinz, 1999. "A linear model for tracking error minimization," Journal of Banking & Finance, Elsevier, vol. 23(1), pages 85-103, January.
    16. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    17. Grinblatt, Mark & Titman, Sheridan, 1994. "A Study of Monthly Mutual Fund Returns and Performance Evaluation Techniques," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(3), pages 419-444, September.
    18. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    19. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
    20. Gordon Gemmill & Dylan C. Thomas, 2002. "Noise Trading, Costly Arbitrage, and Asset Prices: Evidence from Closed‐end Funds," Journal of Finance, American Finance Association, vol. 57(6), pages 2571-2594, December.
    21. Neilson, William S & Stowe, Jill, 2002. "A Further Examination of Cumulative Prospect Theory Parameterizations," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 31-46, January.
    22. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    23. Cumby, Robert E & Glen, Jack D, 1990. "Evaluating the Performance of International Mutual Funds," Journal of Finance, American Finance Association, vol. 45(2), pages 497-521, June.
    24. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    25. Margrabe, William, 1978. "The Value of an Option to Exchange One Asset for Another," Journal of Finance, American Finance Association, vol. 33(1), pages 177-186, 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. Caporin, Massimiliano & Lisi, Francesco, 2011. "Comparing and selecting performance measures using rank correlations," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-34.
    2. Caporin, Massimiliano & Costola, Michele & Jannin, Gregory & Maillet, Bertrand, 2018. "“On the (Ab)use of Omega?”," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 11-33.
    3. Dávid Andor Rácz, 2019. "Comparison of Manipulation-proof Measures on Hungarian Data," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(2), pages 31-51.
    4. Zhang, Hanxiong & Auer, Benjamin R. & Vortelinos, Dimitrios I., 2018. "Performance ranking (dis)similarities in commodity markets," Global Finance Journal, Elsevier, vol. 35(C), pages 115-137.
    5. Sharma, Prateek & Vipul,, 2015. "Performance of risk-based portfolios under different market conditions: Evidence from India," Research in International Business and Finance, Elsevier, vol. 34(C), pages 397-411.

    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. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand B. Maillet, 2014. "A Survey On The Four Families Of Performance Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 917-942, December.
    2. Eduard Marinov, 2017. "The 2017 Nobel Prize in Economics," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 117-159.
    3. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    4. Xie, Yuxin & Hwang, Soosung & Pantelous, Athanasios A., 2018. "Loss aversion around the world: Empirical evidence from pension funds," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 52-62.
    5. Committee, Nobel Prize, 2017. "Richard H. Thaler: Integrating Economics with Psychology," Nobel Prize in Economics documents 2017-1, Nobel Prize Committee.
    6. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    7. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    8. Kyle, Albert S. & Ou-Yang, Hui & Xiong, Wei, 2006. "Prospect theory and liquidation decisions," Journal of Economic Theory, Elsevier, vol. 129(1), pages 273-288, July.
    9. Olapeju Comfort Ogunmokun & Oluwasoye P. Mafimisebi & Demola Obembe, 2023. "Prospect theory and bank credit risk decision-making behaviour: a systematic literature review and future research agenda," SN Business & Economics, Springer, vol. 3(4), pages 1-25, April.
    10. Nicholas Barberis & Ming Huang, 2006. "The Loss Aversion / Narrow Framing Approach to the Equity Premium Puzzle," NBER Working Papers 12378, National Bureau of Economic Research, Inc.
    11. Fang, Yi, 2012. "Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 528-547.
    12. Anderson, Anders E. S., 2004. "One for the Gain, Three for the Loss," SIFR Research Report Series 20, Institute for Financial Research.
    13. Fulga, Cristinca, 2016. "Portfolio optimization under loss aversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 310-322.
    14. Farah, N. & Satchell, S.E., 2003. "A Loss Aversion Performance Measure," Cambridge Working Papers in Economics 0333, Faculty of Economics, University of Cambridge.
    15. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    16. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    17. Servaas van Bilsen & Roger J. A. Laeven & Theo E. Nijman, 2020. "Consumption and Portfolio Choice Under Loss Aversion and Endogenous Updating of the Reference Level," Management Science, INFORMS, vol. 66(9), pages 3927-3955, September.
    18. Lucy Ackert & Narat Charupat & Bryan Church & Richard Deaves, 2006. "An experimental examination of the house money effect in a multi-period setting," Experimental Economics, Springer;Economic Science Association, vol. 9(1), pages 5-16, April.
    19. Pavlo R. Blavatskyy, "undated". "A Stochastic Expected Utility Theory," IEW - Working Papers 231, Institute for Empirical Research in Economics - University of Zurich.
    20. Park, Hyeon, 2023. "A general equilibrium model of dynamic loss aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).

    More about this item

    Keywords

    performance measurement; loss aversion; prospect theory; closed- end-fund puzzle;
    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

    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:pal:assmgt:v:7:y:2006:i:3:d:10.1057_palgrave.jam.2240213. 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.palgrave-journals.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.