This article explores the capacity of self-organizing maps (SOMs) for analysing non-life insurance data. Contrary to … reduces by this way the collinearity bias. However, the specific features of insurance data require adapting the classic SOM …

Effective agricultural insurance and risk management program rely on accurate crop yield forecasting. In this paper, we … propose a novel deep factor model for crop yield forecasting and crop insurance ratemaking. This framework first utilizes a …-of-sample crop insurance rating game between a private insurer and the government, we show that the proposed deep factor model …

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 …

synthesis of ideas from finance and macroeconomics offers several original contributions to the theory of financial crises, as …, MACROECONOMICS, AND RISK CONCEPTS -- 2 An Overview of Macroeconomics, and Why the Theory of Asset Pricing and Contingent Claims …-pricing theory, financial derivatives pricing, and contingent claims analysis -- 2.5 Autoregression in economics vs. random walks in …