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Behavior Finance and Estimation Risk in Stochastic Portfolio Optimization

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  • José Luiz Barros Fernandes
  • Juan Ignacio Peña
  • Benjamin Miranda Tabak

Abstract

The objective of this paper is twofold. The first is to incorporate mental accounting, loss-aversion, asymmetric risk-taking behavior, and probability weighting in a multi-period portfolio optimization for individual investors. While these behavioral biases have previously been identified in the literature, their overall impact during the determination of optimal asset allocation in a multi-period analysis is still missing. The second objective is to account for the estimation risk in the analysis. Considering 26 daily index stock data over the period from 1995 to 2007, we empirically evaluate our model (BRATE – Behavior Resample Adjusted Technique) against the traditional Markowitz model.

Suggested Citation

  • José Luiz Barros Fernandes & Juan Ignacio Peña & Benjamin Miranda Tabak, 2009. "Behavior Finance and Estimation Risk in Stochastic Portfolio Optimization," Working Papers Series 184, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:184
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    Cited by:

    1. Lect. Aurora Murgea Ph. D, 2010. "Classical Lassical And Behavioural Finance In Investor Decision," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 1-12, May.
    2. Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.

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