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How Investors Face Financial Risk Loss Aversion and Wealth Allocation

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  • Erick Rengifo

    (Fordham University, Department of Economics)

  • Emanuela Trifan

    (J.W. Goethe University Frankfurt am Main, Department of Economics)

Abstract

We study how the wealth-allocation decisions and the loss aversion of non-professional investors change subject to behavioral factors. The optimal wealth assignment between risky and risk-free assets results within a VaR portfolio model, where risk is individually assessed according to an extended prospect-theory framework. We show how the past performance and the portfolio evaluation frequency impact investor behavior. Myopic loss aversion holds at different evaluation frequencies. One year is the optimal frequency at which, under practical constraints, risky holdings are maximized. Previous research using standard VaR-significance levels may underestimate the loss aversion of individual investors.

Suggested Citation

  • Erick Rengifo & Emanuela Trifan, 2008. "How Investors Face Financial Risk Loss Aversion and Wealth Allocation," Fordham Economics Discussion Paper Series dp2008-01, Fordham University, Department of Economics.
  • Handle: RePEc:frd:wpaper:dp2008-01
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    File URL: https://archive.fordham.edu/ECONOMICS_RESEARCH/PAPERS/dp2008_01_rengifo_trifan.pdf
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    References listed on IDEAS

    as
    1. Berkelaar, Arjan & Kouwenberg, Roy, 2009. "From boom 'til bust: How loss aversion affects asset prices," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1005-1013, June.
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    3. Campbell, Rachel & Huisman, Ronald & Koedijk, Kees, 2001. "Optimal portfolio selection in a Value-at-Risk framework," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1789-1804, September.
    4. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 73-92.
    5. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    6. 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.
    7. Arjan B. Berkelaar & Roy Kouwenberg & Thierry Post, 2004. "Optimal Portfolio Choice under Loss Aversion," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 973-987, November.
    8. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-838, April.
    9. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
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    11. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 1-53.
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    More about this item

    Keywords

    Prospect theory; myopic loss aversion; Value-at-Risk; portfolio evaluation; capital allocation;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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