We introduce elements of Cumulative Prospect Theory into the portfolio selection problem and then compare stock portfolios selected under the behavioral approach with those selected according to classical approaches, such as Mean Variance and Mean Absolute Deviation ones. The mathematical programming problem associated to the behavioral portfolio selection is highly non-linear and nondifferentiable; for these reasons it is solved using a Particle Swarm Optimization approach. An application to the STOXX Europe 600 equity market is performed.

Behavioral aspects in portfolio selection

Barro, Diana
;
Corazza, Marco
;
Nardon, Martina
2021-01-01

Abstract

We introduce elements of Cumulative Prospect Theory into the portfolio selection problem and then compare stock portfolios selected under the behavioral approach with those selected according to classical approaches, such as Mean Variance and Mean Absolute Deviation ones. The mathematical programming problem associated to the behavioral portfolio selection is highly non-linear and nondifferentiable; for these reasons it is solved using a Particle Swarm Optimization approach. An application to the STOXX Europe 600 equity market is performed.
2021
Mathematical and Statistical Methods for Actuarial Sciences and Finance. eMAF2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3750968
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