Αναλογιστικοί δείκτες μέτρησης της δεξιάς ουράς κατανομών απώλειας για καταστροφικούς κινδύνους
Actuarial indices of measuring the right tail of loss distributions for catastrophic risks
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Keywords
Ουρά κατανομής ; Δείκτες κινδύνου δεξιάς ουράς ; Δείκτης Wang ; Δείκτης GiniAbstract
Most of the problems that one has to solve today are solved by mathematical modeling. From insurance problems to risk calculation and related data, risk theory provides a substantial mathematical basis. Actuarial science often presents very high insurance risks, where well-known risk measures, such as the standard deviation or the Gini mean, are unacceptable measures in measuring the right-hand side of risks. For this reason, Wang (1998) proposed an actuarial index based on the proportional risk model.
This thesis is a study of the performance of the Wang index, as well as other indicators for heavy-duty distributions. In addition, examples will be given to verify the theoretical results. More specifically, numerical examples will be conducted in known distributions comparing right-tail risk indices such as Wang (1998), Wei & Yatracos (2004) and the well-known Gini index.