catastrophe loss data, match them with the defined trigger events of each CAT bond contract, and then employ an empirical pricing … supports that CAT bond markets are successful prediction markets that efficiently aggregate information about future CAT losses …. Our results also highlight that actual CAT losses in future periods can explain the excess CAT bond spreads in the primary …

Fundamental stock analysts covering the insurance industry may be overly influenced by infrequent large scale … perspective in order to set an appropriate fair value on an insurance company's stock. This paper presents an analysis of … insurance industry losses due to catastrophes and shows how they can be put in perspective with respect to frequency and size …

uniquely prescribe the metric for risk adjustment, we expect that VaR will be widely applied by insurance firms. Overall …

Can measured risk attitudes and associated structural models predict insurance demand? In an experiment (n = 1,730), we … parameterize seventeen common structural models (e.g., expected utility, cumulative prospect theory). Subjects also make twelve … insurance choices over different loss probabilities and prices. The insurance choices show coherence and some correlation with …

Can measured risk attitudes and associated structural models predict insurance demand? In an experiment (n = 1,730), we … parameterize seventeen common structural models (e.g., expected utility, cumulative prospect theory). Subjects also make twelve … insurance choices over different loss probabilities and prices. The insurance choices show coherence and some correlation with …