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Implementability in Insurance Markets with Adverse Selection
Preprint   Open access

Implementability in Insurance Markets with Adverse Selection

Maria Andraos and Mario Ghossoub
arXiv
arXiv
09/25/2026
DOI: 10.48550/arxiv.2609.31959
url
https://doi.org/10.48550/arxiv.2609.31959View
Preprint (Author's original) This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

We consider an insurance market with hidden information, where the agent's type is private information and is drawn from an arbitrary type space. We discuss the notion of implementability of the collection of retention functions. Namely, how to select premium schedules so that the resulting menu of contracts is incentive compatible, or truthtelling. Specifically, for general type spaces, implementability is equivalent to cyclical monotonicity of the collection of retention functions. For compact interval type spaces, we show that submodularity is a sufficient condition for implementability, under suitable type ordering assumptions. Moreover, for any implementable collection of retention functions, we characterize the corresponding premium schedule. Finally, we apply our results to several standard classes of insurance contracts, for which the general implementability conditions admit simpler characterizations, and we provide several numerical illustrations.
Quantitative Finance - Risk Management

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