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Parametric multi-attribute utility functions for optimal profit under risk constraints

Abstract : We provide an economic interpretation of the practice consisting in incorporating risk measures as constraints in an expected prospect maximization problem. For what we call the infimum of expectations class of risk measures, we show that if the decision maker (DM) maximizes the expectation of a random prospect under constraint that the risk measure is bounded above, he then behaves as a generalized expected utility maximizer in the following sense. The DM exhibits ambiguity with respect to a family of utility functions defined on a larger set of decisions than the original one; he adopts pessimism and performs first a minimization of expected utility over this family, then performs a maximization over a new decisions set. This economic behaviour is called maxmin under risk and studied by Maccheroni (Econ Theory 19:823-831, 2002). As an application, we make the link between an expected prospect maximization problem, subject to conditional value-at-risk being less than a threshold value, and a non-expected utility economic formulation involving loss aversion -type utility functions.
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https://hal-enpc.archives-ouvertes.fr/hal-00654574
Contributeur : Michel de Lara <>
Soumis le : jeudi 22 décembre 2011 - 12:34:11
Dernière modification le : vendredi 5 juillet 2019 - 09:28:02

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Babacar Seck, Laetitia Andrieu, Michel de Lara. Parametric multi-attribute utility functions for optimal profit under risk constraints. Theory and Decision, Springer Verlag, 2012, 72 (2), pp.257-271. ⟨10.1007/s11238-011-9255-6⟩. ⟨hal-00654574⟩

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