Cumulative Prospect Theory portfolio selection
Diana Barro (),
Marco Corazza () and
Martina Nardon ()
Additional contact information
Diana Barro: Department of Economics, Ca' Foscari University of Venice
No 2020:26, Working Papers from Department of Economics, University of Venice "Ca' Foscari"
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 non-differentiable; for these reasons it is solved using a Particle Swarm Optimization approach. An application to the STOXX Europe 600 equity market is performed.
Keywords: Cumulative Prospect Theory; Portfolio Selection; Particle Swarm Optimization (search for similar items in EconPapers)
JEL-codes: C61 G11 G40 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.unive.it/web/fileadmin/user_upload/dip ... zza_nardon_26_20.pdf Revised version, (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ven:wpaper:2020:26
Access Statistics for this paper
More papers in Working Papers from Department of Economics, University of Venice "Ca' Foscari" Contact information at EDIRC.
Bibliographic data for series maintained by Sassano Sonia ().