IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v14y2013i5d10.1057_jam.2013.22.html
   My bibliography  Save this article

Skilled monkey or unlucky manager?

Author

Listed:
  • Maximilian Vermorken

    (UCL QASER Lab, University College London)

  • Marc Gendebien
  • Alphons Vermorken
  • Thomas Schröder

Abstract

When The Wall Street Journal used a monkey to choose stocks to invest in, it failed to launch a more comprehensive experiment based on the same principle. Using a probabilistic approach in a similar way to Roy’s safety-first risk measure, we consider the probability that a randomly managed portfolio will outperform a predefined benchmark and compare it with the probability that a professionally managed fund will outperform the same benchmark. Repeating this over a large number of random portfolios and managed funds while ensuring the comparison is a valid one, we effectively test whether investment management skill truly exists for long-only US equity portfolios or whether the efficiency of markets prohibits any longer-run outperformance. The results show that managed long-only equity portfolios do not show a higher probability of outperforming the index than randomly selected ones.

Suggested Citation

  • Maximilian Vermorken & Marc Gendebien & Alphons Vermorken & Thomas Schröder, 2013. "Skilled monkey or unlucky manager?," Journal of Asset Management, Palgrave Macmillan, vol. 14(5), pages 267-277, October.
  • Handle: RePEc:pal:assmgt:v:14:y:2013:i:5:d:10.1057_jam.2013.22
    DOI: 10.1057/jam.2013.22
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jam.2013.22
    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/jam.2013.22?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. Kon, Stanley J, 1984. "Models of Stock Returns-A Comparison," Journal of Finance, American Finance Association, vol. 39(1), pages 147-165, March.
    2. Longin, Francois M, 1996. "The Asymptotic Distribution of Extreme Stock Market Returns," The Journal of Business, University of Chicago Press, vol. 69(3), pages 383-408, July.
    3. Admati, Anat R & Pfleiderer, Paul, 1997. "Does It All Add Up? Benchmarks and the Compensation of Active Portfolio Managers," The Journal of Business, University of Chicago Press, vol. 70(3), pages 323-350, July.
    4. Blake, David & Lehmann, Bruce N & Timmermann, Allan, 1999. "Asset Allocation Dynamics and Pension Fund Performance," The Journal of Business, University of Chicago Press, vol. 72(4), pages 429-461, October.
    5. Samuelson, Paul A., 1967. "General Proof that Diversification Pays*," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 2(1), pages 1-13, March.
    6. Elton, Edwin J & Gruber, Martin J, 1977. "Risk Reduction and Portfolio Size: An Analytical Solution," The Journal of Business, University of Chicago Press, vol. 50(4), pages 415-437, October.
    7. Annaert, Jan & van den Broeck, Julien & Vander Vennet, Rudi, 2003. "Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach," European Journal of Operational Research, Elsevier, vol. 151(3), pages 617-632, December.
    8. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    9. Eugene F. Fama, 1963. "Mandelbrot and the Stable Paretian Hypothesis," The Journal of Business, University of Chicago Press, vol. 36, pages 420-420.
    10. Grossman, Sanford J, 1995. "Dynamic Asset Allocation and the Informational Efficiency of Markets," Journal of Finance, American Finance Association, vol. 50(3), pages 773-787, July.
    11. Burton G. Malkiel, 2003. "Passive Investment Strategies and Efficient Markets," European Financial Management, European Financial Management Association, vol. 9(1), pages 1-10, 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. Joana Almeida & Raquel M. Gaspar, 2021. "Accuracy of European Stock Target Prices," JRFM, MDPI, vol. 14(9), pages 1-27, September.

    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. ROCKINGER, Michael & JONDEAU, Eric, 1999. "The Tail Behavior of Stock Returns: Emerging versus Mature Markets," HEC Research Papers Series 668, HEC Paris.
    2. Mondher Bellalah & Marc Lavielle, 2002. "A Decomposition of Empirical Distributions with Applications to the Valuation of Derivative Assets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(2), pages 99-130, June.
    3. Eric Jondeau & Michael Rockinger, 2006. "Optimal Portfolio Allocation under Higher Moments," European Financial Management, European Financial Management Association, vol. 12(1), pages 29-55, January.
    4. Philip Kostov & Seamus McErlean, 2004. "Estimating the probability of large negative stock market," Finance 0409011, University Library of Munich, Germany.
    5. Alexander Eastman & Brian Lucey, 2008. "Skewness and asymmetry in futures returns and volumes," Applied Financial Economics, Taylor & Francis Journals, vol. 18(10), pages 777-800.
    6. Andrea Morone, 2008. "Financial markets in the laboratory: an experimental analysis of some stylized facts," Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 513-532.
    7. Einmahl, John & He, Y., 2020. "Unified Extreme Value Estimation for Heterogeneous Data," Discussion Paper 2020-025, Tilburg University, Center for Economic Research.
    8. Einmahl, John & He, Y., 2020. "Unified Extreme Value Estimation for Heterogeneous Data," Other publications TiSEM dfe6c38c-823b-4394-b4fd-a, Tilburg University, School of Economics and Management.
    9. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis, "undated". "Statistical Modeling of Stock Returns: Explanatory or Descriptive? A Historical Survey with Some Methodological Reflections," DEOS Working Papers 1331, Athens University of Economics and Business.
    10. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    11. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    12. Wu, Xu & Zhang, Linlin & Li, Jia & Yan, Ruzhen, 2021. "Fractal statistical measure and portfolio model optimization under power-law distribution," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis, 2016. "Statistical Modeling Of Stock Returns: Explanatory Or Descriptive? A Historical Survey With Some Methodological Reflections," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 149-164, February.
    14. Christian Hugo Hoffmann & Charles Djordjevic, 2020. "Complexity, Power Laws and a Humean Argument in Risk Management: The Fundamental Inadequacy of Probability Theory as a Foundation for Modeling Complex Risk in Banking," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 37(3), pages 155-182, December.
    15. Geoffrey Ducournau, 2021. "Bayesian inference and superstatistics to describe long memory processes of financial time series," Papers 2105.04171, arXiv.org.
    16. G. Andrew Karolyi, 2003. "Does International Financial Contagion Really Exist?," International Finance, Wiley Blackwell, vol. 6(2), pages 179-199, July.
    17. Srilakshminarayana G, 2021. "Tail Behaviour of the Nifty-50 Stocks during Crises Periods," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 115-151, December.
    18. Andrea Morone, 2002. "Financial Market in the Laboratory," Computing in Economics and Finance 2002 151, Society for Computational Economics.
    19. Raj Aggarwal & Min Qi, 2009. "Distribution of extreme changes in Asian currencies: tail index estimates and value-at-risk calculations," Applied Financial Economics, Taylor & Francis Journals, vol. 19(13), pages 1083-1102.
    20. Kittiakarasakun, Jullavut & Tse, Yiuman, 2011. "Modeling the fat tails in Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 20(3), pages 430-440, June.

    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:14:y:2013:i:5:d:10.1057_jam.2013.22. 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.