Abstract
The measurement of the tail conditional expectation, also called tail value-at-risk, helps insurance companies determine the amount of capital needed to pay claims resulting from catastrophic events when premium revenues are insufficient. In this paper, we extend the exponential dispersion models and derive tail conditional expectation forms of the new models that generalize results and discussions of paper by Landsman and Valdez (2005).
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