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Adverse Selection, Commitment, and Renegotiation: Extension to and Evidence from Insurance Markets

Journal of Political Economy 1994 102(2), 209-235
With asymmetric information, full commitment to long-term contracts may permit markets to approach first-best allocations. However, commitment can be undermined by opportunistic behavior, notably renegotiation. The authors reexamine commitment in insurance markets. They present an alternative model (which extends Jean-Jaques Laffont and Jean Tirole's procurement model to address uncertainty and competition), which involves semipooling in the first period followed by separation. This and competing models (e.g., single-period models and no-commitment models) have different predictions concerning temporal patterns of insurer profitability. A test using California data suggests that some automobile insurers use commitment to attract selective portfolios comprising disproportionate numbers of low risks. Copyright 1994 by University of Chicago Press.

Price Regulation in Property-Liability Insurance: A Contingent-Claims Approach

Journal of Finance 1986 41(5), 1031
A discrete-time option-pricing model is used to derive the “fair” rate of return for the property-liability insurance firm. The rationale for the use of this model is that the financial claims of shareholders, policyholders, and tax authorities can be modeled as European options written on the income generated by the insurer's asset portfolio. This portfolio consists mostly of traded financial assets and is therefore relatively easy to value. By setting the value of the shareholders' option equal to the initial surplus, an implicit solution for the fair insurance price may be derived. Unlike previous insurance regulatory models, this approach addresses the ruin probability of the insurer, as well as nonlinear tax effects.

Price Regulation in Property‐Liability Insurance: A Contingent‐Claims Approach

Journal of Finance 1986 41(5), 1031-1050 open access
ABSTRACT A discrete‐time option‐pricing model is used to derive the “fair” rate of return for the property‐liability insurance firm. The rationale for the use of this model is that the financial claims of shareholders, policyholders, and tax authorities can be modeled as European options written on the income generated by the insurer's asset portfolio. This portfolio consists mostly of traded financial assets and is therefore relatively easy to value. By setting the value of the shareholders' option equal to the initial surplus, an implicit solution for the fair insurance price may be derived. Unlike previous insurance regulatory models, this approach addresses the ruin probability of the insurer, as well as nonlinear tax effects.

Insuring Nonverifiable Losses

Review of Finance 2015 19(1), 283-316 open access
Abstract Insurance contracts are often complex and difficult to verify outside the insurance relation. We show that standard one-period insurance policies with an upper limit and a deductible are the optimal incentive-compatible contracts in a competitive market with repeated interaction. Optimal group insurance policies involve a joint upper limit and individual deductibles; insurance brokers can play a role implementing such contracts for their clients. Our model provides new insights and predictions about the determinants of insurance.

Information effect of entry into credit ratings market: The case of insurers' ratings

Journal of Financial Economics 2012 106(2), 308-330
The paper analyzes the effect of competition between credit rating agencies (CRAs) on the information content of ratings. We show that a monopolistic CRA pools sellers into multiple rating classes and has partial market coverage. This provides an opportunity for market entry. The entrant designs a rating scale distinct from that of the incumbent. It targets higher-than-average companies in each rating grade of the incumbent's rating scale and employs more stringent rating standards. We use Standard and Poor's (S&P) entry into the market for insurance ratings previously covered by a monopolist, A.M. Best, to empirically test the impact of entry on the information content of ratings. The empirical analysis reveals that S&P required higher standards to assign a rating similar to the one assigned by A.M. Best and that higher-than-average quality insurers in each rating category of A.M. Best chose to receive a second rating from S&P.