Index insurance under demand and solvency constraints
Olivier Lopez (CREST), Daniel Nkameni (CREST)

TL;DR
This paper develops a demand and solvency model for index insurance, proposing a hybrid product combining index and traditional insurance, demonstrated through a cyber insurance example.
Contribution
It introduces a novel model for demand and solvency in index insurance and designs a hybrid product leveraging both index and indemnity features.
Findings
Conditions for portfolio solvency are derived.
A hybrid index-traditional insurance product is proposed.
Practical example in cyber insurance illustrates the model.
Abstract
Index insurance is often proposed to reduce protection gaps, especially for emerging risks. Unlike traditional insurance, it bases compensation on a measurable index, enabling faster payouts and lower claim management costs. This approach benefits both policyholders, through quick payments, and insurers, through reduced costs and better risk control due to reliable data and robust statistical estimates. An important difference with the concept of Cat Bonds is that the feasibility of such coverage relies on the possibility of mutualization. Mutualization, in turn, is achieved only if a sufficiently high number of policyholders agree to subscribe. The purpose of this paper is to introduce a model for the demand for index insurance and to provide conditions under which the solvency of the portfolio is achieved. From these conditions, we deduce a product that combines index and traditional…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInsurance and Financial Risk Management · Insurance, Mortality, Demography, Risk Management · Risk and Portfolio Optimization
