Insurance-Finance Arbitrage
Philippe Artzner, Karl-Theodor Eisele, Thorsten Schmidt

TL;DR
This paper introduces the concept of insurance-finance arbitrage, analyzing the conditions under which insurance contracts are consistent with financial market trading, and establishes a fundamental theorem linking arbitrage absence to a special probability measure.
Contribution
It formalizes insurance-finance arbitrage, extends the fundamental theorem of asset pricing to insurance contexts, and develops a framework incorporating mortality risk and market dependence.
Findings
Established a fundamental theorem on the absence of insurance-finance arbitrage.
Defined insurance-finance-consistent probability measures.
Developed a tractable valuation framework using filtration enlargement.
Abstract
Most insurance contracts are inherently linked to financial markets, be it via interest rates, or -- as hybrid products like equity-linked life insurance and variable annuities -- directly to stocks or indices. However, insurance contracts are not for trade except sometimes as surrender to the selling office. This excludes the situation of arbitrage by buying and selling insurance contracts at different prices. Furthermore, the insurer uses private information on top of the publicly available one about financial market. This paper provides a study of the consistency of insurance contracts in connection with trades in the financial market with explicit mention of the information involved. By defining strategies on an insurance portfolio and combining them with financial trading strategies, we arrive at the notion of insurance-finance arbitrage (IFA). In analogy to the classical…
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, Mortality, Demography, Risk Management · Stochastic processes and financial applications · Insurance and Financial Risk Management
