Captive insurance companies and the management of non-conventional corporate risks

We examine under what conditions setting up a captive insurance company with reinsurance is an optimal solution for risk-averse firms when the insured firm, the insurer and the reinsurer do not know the probability distribution of some risks, and have conflicting estimates of this distribution.corporate insurance, reinsurance, uncertainty, ambiguity, non-conventional risks, captive insurance companies, Risk and Uncertainty, D81, G22, Q2,

Ambiguity, ambiguity aversion and the coverage of uncertain risks : the case of the insurer

Ambiguity aversion is defined as an aversion to any mean-preserving spread in the probability space. Using the Smooth Ambiguity Model proposed by Klibanoff, Marinacci and Mukerji (2005), we show that ambiguity aversion results in a reduction in the proportion of insurance coverage offered by an insurer. This is because an ambiguity averse insurer calculates expected utilities by using a 'distorted' probability that raises the marginal disutility of wealth in the loss state. We also show that, in general, an ambiguity averse insurer will not offer more coverage to wealthier agents. Wealthier agents enjoy more coverage when the subjective average probability of loss is significantly high. Our results go a long way in reconciling theoretical models of insurance under ambiguity with the empirical finding that insurers are sensitive to ambiguity

De Finetti on the insurance of risks and uncertainties

In the insurance literature, it is often argued that private markets can provide insurance against ‘risks’ but not against ‘uncertainties’ in the sense of Knight ([1921]) or Keynes ([1921]). This claim is at odds with the standard economic model of risk exchange which, in assuming that decision-makers are always guided by point-valued subjective probabilities, predicts that all uncertainties can, in theory, be insured. Supporters of the standard model argue that the insuring of highly idiosyncratic risks by Lloyd's of London proves that this is so even in practice. The purpose of this article is to show that Bruno de Finetti, famous as one of the three founding fathers of the subjective approach to probability assumed by the standard model, actually made a theoretical case for uncertainty within the subjectivist approach. We draw on empirical evidence from the practice of underwriters to show how this case may help explain the reluctance of insurers to cover highly uncertain contingencies

Food scares in an uncertain world

This is the accepted version of the following article: Food scares in an uncertain world. Journal of the European Economic Association, Volume 11, Issue 6, pages 1432–1456, December 2013, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jeea.12057/abstrac

Food scares in an uncertain world

This is the accepted version of the following article: Food scares in an uncertain world. Journal of the European Economic Association, Volume 11, Issue 6, pages 1432–1456, December 2013, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jeea.12057/abstrac

Food scares in an uncertain world

This is the accepted version of the following article: Food scares in an uncertain world. Journal of the European Economic Association, Volume 11, Issue 6, pages 1432–1456, December 2013, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jeea.12057/abstrac

Affective Decision Making: A Behavioral Theory of Choice

Affective decision-making is a strategic model of choice under risk and uncertainty where we posit two cognitive processes — the "rational" and the "emotional" process. Observed choice is the result of equilibirum in this intrapersonal game. As an example, we present applications of affective decision-making in insurance markets, where the risk perceptions of consumers are endogenous. We then derive the axiomatic foundation of affective decision making, and show that, although beliefs are endogenous, not every pattern of behavior is possible under affective decision making.Affective choice, Endogenous risk perception, Insurance, Variational preferences

The impact of ambiguity on health prevention and insurance.

In this paper, we analyze the choice of primary prevention made by individuals who bear a risk of being in bad health and an additive risk (of complications) that occurs after a disease has been diagnosed. By considering a two argument utility (depending on wealth and health), we show that the presence of a well-known (no ambiguity) additive risk of complications induces more investment in primary prevention by a risk-averse agent only if her preferences does not display some cross prudence in wealth (u122 0). We also show that full (partial) insurance can be optimal even if insurance premia are loaded (fair). These results hold with and without prevention and the individuals attitudes toward correlation help explain the impact of ambiguity on the optimal individual decisions.health; utility; ambiguity; prevention; insurance.

Pricing ambiguity in catastrophe risk insurance

Ambiguity about the probability of loss is a salient feature of catastrophe risk insurance. Evidence shows that insurers charge higher premiums under ambiguity, but that they rely on simple heuristics to do so, rather than being able to turn to pricing tools that formally link ambiguity with the insurer’s underlying economic objective. In this paper, we apply an α-maxmin model of insurance pricing to two catastrophe model data sets relating to hurricane risk. The pricing model considers an insurer who maximises expected profit, but is sensitive to how ambiguity affects its risk of ruin. We estimate ambiguity loads and show how these depend on the insurer’s attitude to ambiguity, α. We also compare these results with those derived from applying model blending techniques that have recently gained popularity in the actuarial profession, and show that model blending can imply relatively low aversion to ambiguity, possibly ambiguity seeking