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Fund managers - Why the best might be the worst: On the evolutionary vigor of risk-seeking behavior

  • Witte, Björn-Christopher
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    This article explores the influence of competitive conditions on the evolutionary fitness of risk preferences, using the professional competition between fund managers as a practical example. To explore how different settings of competition parameters, the exclusion rate and the exclusion interval, affect individual investment behavior, an evolutionary model is developed. Using a simple genetic algorithm, two attributes of virtual fund managers evolve: the amount of capital they invest in risky assets and the amount of excessive risk they accept, where a positive value of the latter parameter indicates an inefficient investment portfolio. The simulation experiments illustrate that the influence of competitive conditions on investment behavior and attitudes towards risk is significant. What is alarming is that intense competitive pressure generates risk-seeking behavior and diminishes the predominance of the most skilled. Under these conditions, evolution does not necessarily select managers with efficient portfolios. These results underline the institutional need to create a competitive framework that will not allow risk-taking to constitute an evolutionary advantage per se.

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    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2012-20
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    File URL: http://econstor.eu/bitstream/10419/57775/1/715112236.pdf
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    Paper provided by Kiel Institute for the World Economy in its series Economics Discussion Papers with number 2012-20.

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    Date of creation: 2012
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    Handle: RePEc:zbw:ifwedp:201220
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    1. Dittmar, Robert & Neely, Christopher J & Weller, Paul, 1996. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," CEPR Discussion Papers 1480, C.E.P.R. Discussion Papers.
    2. Hommes, C.H., 2000. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," CeNDEF Working Papers 00-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Xavier Gabaix, 2008. "Power Laws in Economics and Finance," NBER Working Papers 14299, National Bureau of Economic Research, Inc.
    4. De Long, J Bradford, et al, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    5. Judith Chevalier & Glenn Ellison, 1999. "Career Concerns Of Mutual Fund Managers," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 389-432, May.
    6. Terje Lensberg & Business Administration, . "Investment Behaviour Under Knightian Uncertainty - an Evolutionary Approach," Computing in Economics and Finance 1997 144, Society for Computational Economics.
    7. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
    8. Blume, Lawrence & Easley, David, 1992. "Evolution and market behavior," Journal of Economic Theory, Elsevier, vol. 58(1), pages 9-40, October.
    9. R Amir & I Evstigneev & T Hens & K R Schenk-Hoppé, 2002. "Market Selection and Survival of Investment Strategies," The School of Economics Discussion Paper Series 0215, Economics, The University of Manchester.
    10. Farrell, M J, 1970. "Some Elementary Selection Processes in Economics," Review of Economic Studies, Wiley Blackwell, vol. 37(3), pages 305-19, July.
    11. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2006. "On the Evolution of Investment Strategies and the Kelly Rule – A Darwinian Approach," Discussion Papers 2006/23, Department of Business and Management Science, Norwegian School of Economics.
    12. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics.
    13. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1989. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," NBER Working Papers 2880, National Bureau of Economic Research, Inc.
    14. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, 03.
    15. repec:att:wimass:9621 is not listed on IDEAS
    16. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, June.
    17. 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.
    18. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    19. Florian Hauser & Bob Kaempff, 2013. "Evolution of trading strategies in a market with heterogeneously informed agents," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 575-607, July.
    20. Schaffer, Mark E., 1989. "Are profit-maximisers the best survivors? : A Darwinian model of economic natural selection," Journal of Economic Behavior & Organization, Elsevier, vol. 12(1), pages 29-45, August.
    21. repec:dgr:uvatin:20010014 is not listed on IDEAS
    22. Igor V. Evstigneev & Thorsten Hens & Klaus Reiner Schenk-Hoppé, . "Market Selection of Financial Trading Strategies: Global Stability," IEW - Working Papers 083, Institute for Empirical Research in Economics - University of Zurich.
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