Some Composite ExponentialPareto Models for Actuarial Prediction

Sandra Teodorescu () and Raluca Vernic ()
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Sandra Teodorescu: Faculty of Economic Sciences, Ecological University of Bucharest
Raluca Vernic: Faculty of Mathematics and Computer Science, Ovidius University of Constanta

Journal for Economic Forecasting, 2009, issue 4, 82-100

Abstract: Prediction is a very important and not so easy task for an actuary. An insurance company needs predictions of the future claims in order to evaluate premiums, to assess its financial situation, probabilities of ruin, etc. Therefore, modeling the claims distribution is of great importance, but since this distribution is usually different from the classical ones (e.g. skewed and heavy tailed), researchers are trying to find new models that can fit better to insurance data. Such a composite model unifying a Lognormal and a Pareto distribution was introduced by Cooray and Ananda [1] and generalized by Scollnik [6]. In this paper we go even further and study a composite model obtained from two arbitrary distributions, then exemplify it with the Exponential and Pareto distributions. Some properties and statistical inference are also presented.

Keywords: composite models; mixture models; Exponential and Pareto distributions; composite Exponential-Pareto models; parameter estimation (search for similar items in EconPapers)
JEL-codes: C14 G22 (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (3)

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