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Optimal insurance under maxmin expected utility

Corina Birghila (), Tim J. Boonen () and Mario Ghossoub ()
Additional contact information
Corina Birghila: Otto-von-Guericke University Magdeburg
Tim J. Boonen: University of Amsterdam
Mario Ghossoub: University of Waterloo

Finance and Stochastics, 2023, vol. 27, issue 2, No 6, 467-501

Abstract: Abstract We examine a problem of demand for insurance indemnification, when the insured is sensitive to ambiguity and behaves according to the maxmin expected utility model of Gilboa and Schmeidler (J. Math. Econ. 18:141–153, 1989), whereas the insurer is a (risk-averse or risk-neutral) expected-utility maximiser. We characterise optimal indemnity functions both with and without the customary ex ante no-sabotage requirement on feasible indemnities, and for both concave and linear utility functions for the two agents. This allows us to provide a unifying framework in which we examine the effects of the no-sabotage condition, of marginal utility of wealth, of belief heterogeneity, as well as of ambiguity (multiplicity of priors) on the structure of optimal indemnity functions. In particular, we show how a singularity in beliefs leads to an optimal indemnity function that involves full insurance on an event to which the insurer assigns zero probability, while the decision maker assigns a positive probability. We examine several illustrative examples, and we provide numerical studies for the case of a Wasserstein and a Rényi ambiguity set.

Keywords: Optimal insurance; Ambiguity; Multiple priors; Maxmin expected utility; Heterogeneous beliefs; 90B50; 90C17; 91B06; 91G99 (search for similar items in EconPapers)
JEL-codes: C02 C61 D86 G22 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s00780-023-00497-y

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