Optimal Multivariate Financial Decision Making

30 Pages Posted: 19 Nov 2021 Last revised: 21 Sep 2022

See all articles by Carole Bernard

Carole Bernard

Grenoble Ecole de Management; Vrije Universiteit Brussel (VUB)

Luca De Gennaro Aquino

University of Copenhagen

Steven Vanduffel

Vrije Universiteit Brussel (VUB)

Date Written: September 26, 2021

Abstract

Agents who pursue optimal portfolio choice by optimizing a univariate objective (e.g., an expected utility) obtain optimal payoffs that are increasing with each other (situation of no diversification). This situation may lead to an undesirable level of systemic risk for society. A regulator may consider a global perspective and aim to enforce diversification among the various portfolios by optimizing a suitable multivariate objective. We explain that optimal solutions satisfy a notion of multivariate cost-efficiency and provide an algorithm to obtain multivariate cost-efficient payoffs.
We also assess the cost of diversification and provide the strategy that the regulator should pursue for obtaining the desired level of diversification.

Keywords: Cost-efficiency, multivariate utility, multivariate preferences, diversification, systemic risk

Suggested Citation

Bernard, Carole and De Gennaro Aquino, Luca and Vanduffel, Steven, Optimal Multivariate Financial Decision Making (September 26, 2021). Available at SSRN: https://ssrn.com/abstract=3931992 or http://dx.doi.org/10.2139/ssrn.3931992

Carole Bernard (Contact Author)

Grenoble Ecole de Management ( email )

12, rue Pierre Sémard
Grenoble Cedex, 38003
France

Vrije Universiteit Brussel (VUB) ( email )

Pleinlaan 2
http://www.vub.ac.be/
Brussels, 1050
Belgium

Luca De Gennaro Aquino

University of Copenhagen ( email )

Nørregade 10
Copenhagen, København DK-1165
Denmark

Steven Vanduffel

Vrije Universiteit Brussel (VUB) ( email )

Pleinlaan 2
Brussels, Brabant 1050
Belgium

HOME PAGE: http://www.stevenvanduffel.com

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