Random sums of exchangeable variables and actuarial applications
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2008
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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 |
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 |