Abstract
This study investigates insurance demand in a two-period model when a decision-maker (DM) is averse to the ambiguity of loss distributions. This study derives sufficient conditions such that the ambiguity-averse DM purchases more insurance than an ambiguity-neutral one when the DM maximises the expected utility. It also derives each sufficient condition to increase insurance demand as ambiguity aversion, ambiguity and downside ambiguity increase, respectively.
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CITATION STYLE
Hong, J. (2022). The optimal insurance demand under an ambiguity aversion. Journal of Derivatives and Quantitative Studies, 30(4), 296–308. https://doi.org/10.1108/JDQS-06-2022-0014
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