A risk-averse agent does not necessarily decrease the optimal insurance whenever a beneficial change in the distribution of final wealth occurs. This paper provides sufficient conditions to guarantee such a decrease. Beneficial changes can be induced by either a beneficial loss-distribution shift, by a modification of the dependence structure between the randomness sources, or by both of these. Conditions for each case are stated. Hadar-Seo and Meyer results turn out as special cases.

Beneficial Changes in Random Variables via Copulas: An Application to Insurance

TIBILETTI, Luisa
1995-01-01

Abstract

A risk-averse agent does not necessarily decrease the optimal insurance whenever a beneficial change in the distribution of final wealth occurs. This paper provides sufficient conditions to guarantee such a decrease. Beneficial changes can be induced by either a beneficial loss-distribution shift, by a modification of the dependence structure between the randomness sources, or by both of these. Conditions for each case are stated. Hadar-Seo and Meyer results turn out as special cases.
1995
20
191
202
http://www.springerlink.com/content/k622177737t341m5/
demand for insurance; risk aversion; first-degree and second-degree stochastic dominance shifts; copula
Tibiletti L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/111046
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