Loss Models

An essential resource for constructing and analyzing advanced actuarial models


Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and evaluate actuarial models in the fields of insurance and business. Providing an advanced study of actuarial methods, the book features extended discussions of risk modeling and risk measures, including Tail-Value-at-Risk. Loss Models: Further Topics contains additional material to accompany the Fourth Edition of Loss Models: From Data to Decisions, such as:



Extreme value distributions
Coxian and related distributions
Mixed Erlang distributions
Computational and analytical methods for aggregate claim models
Counting processes
Compound distributions with time-dependent claim amounts
Copula models
Continuous time ruin models
Interpolation and smoothing

The book is an essential reference for practicing actuaries and actuarial researchers who want to go beyond the material required for actuarial qualification. Loss Models: Further Topics is also an excellent resource for graduate students in the actuarial field.