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When Indemnity Insurance Fails

Parametric Coverage under Binding Budget and Risk Constraints

This repository contains the code to replicate the numerical illustrations in the paper

When Indemnity Insurance Fails: Parametric Coverage under Binding Budget and Risk Constraints
Benjamin Avanzi, Debbie Kusch Falden, and Mogens Steffensen
https://www.arxiv.org

In high-risk environments, traditional indemnity insurance is often unaffordable or ineffective, despite its well-known optimality under expected utility. This paper compares excess-of-loss indemnity insurance with parametric insurance within a common mean-variance framework, allowing for fixed costs, heterogeneous premium loadings, and binding budget constraints. We show that, once these realistic frictions are introduced, parametric insurance can yield higher welfare for risk-averse individuals, even under the same utility objective. The welfare advantage arises precisely when indemnity insurance becomes impractical, and disappears once both contracts are unconstrained. Our results help reconcile classical insurance theory with the growing use of parametric risk transfer in high-risk settings.


html version

An rendered html version of the Rmd can be seen by clicking this link:

👉 https://agi-lab.github.io/parametric/

Note: Clicking .html files directly inside GitHub will only show the source code. Use the link above to view the rendered paper.

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