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Higher-order moments in the theory of diversification and portfolio composition

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  • Trino-Manuel Niguez
  • Ivan Paya
  • David Peel
  • Javier Perote

Abstract

This paper revisits the corner solution in classical portfolio choice theory in which risk-averse agents would all be optimally plungers rather than diversifiers. We examine the effect of higher-order moments of two-, three- and four-parameter density functions on the investor's decision to diversify in an expected utility framework. The empirical analysis provides estimates of four parametric and two semi-nonparametric densities for the S&P500 and concluded that allocation of all wealth in the risky asset would not have been optimal.

Suggested Citation

  • Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:18297128
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    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2017. "Measuring firm size distribution with semi-nonparametric densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 485(C), pages 35-47.
    3. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    4. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.

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