Portfolio choice under cumulative prospect theory: sensitivity analysis and an empirical study

Giorgio Consigli, Asmerilda Hitaj, Elisa Mastrogiacomo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A sensitivity analysis of the impact of cumulative prospect theory (CPT) parameters on a Mean/Risk efficient frontier is performed through a simulation procedure, assuming a Multivariate Variance Gamma distribution for log-returns. The optimal investment problem for an agent with CPT preferences is then investigated empirically, by considering different parameters’ combinations for the CPT utility function. Three different portfolios, one hedge fund and two equity portfolios are considered in this study, where the Modified Herfindahl index is used as a measure of portfolio diversification, while the Omega ratio and the Information ratio are used as measures of performance.

Original languageBritish English
Pages (from-to)129-154
Number of pages26
JournalComputational Management Science
Volume16
Issue number1-2
DOIs
StatePublished - 27 Feb 2019

Keywords

  • Cumulative prospect theory
  • Hedge funds
  • Non-convex optimization
  • Robustness and sensitivity analysis

Fingerprint

Dive into the research topics of 'Portfolio choice under cumulative prospect theory: sensitivity analysis and an empirical study'. Together they form a unique fingerprint.

Cite this