Random sums of exchangeable variables and actuarial applications


Autoria(s): KOLEV, Nikolai; PAIVA, Delhi
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2008

Resumo

In this paper we study the accumulated claim in some fixed time period, skipping the classical assumption of mutual independence between the variables involved. Two basic models are considered: Model I assumes that any pair of claims are equally correlated which means that the corresponding square-integrable sequence is exchangeable one. Model 2 states that the correlations between the adjacent claims are the same. Recurrence and explicit expressions for the joint probability generating function are derived and the impact of the dependence parameter (correlation coefficient) in both models is examined. The Markov binomial distribution is obtained as a particular case under assumptions of Model 2. (C) 2007 Elsevier B.V. All rights reserved.

Identificador

INSURANCE MATHEMATICS & ECONOMICS, v.42, n.1, p.147-153, 2008

0167-6687

http://producao.usp.br/handle/BDPI/30427

10.1016/j.insmatheco.2007.01.010

http://dx.doi.org/10.1016/j.insmatheco.2007.01.010

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Insurance Mathematics & Economics

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #correlation coefficient #collective risk model #exchangeability #homogeneous Markov chain #joint probability generating function #random sums #COMONOTONICITY #DEPENDENCE #FINANCE #SCIENCE #MODEL #Economics #Mathematics, Interdisciplinary Applications #Social Sciences, Mathematical Methods #Statistics & Probability
Tipo

article

original article

publishedVersion