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Convolutions of Heavy Tailed Random Variables and Applications to Portfolio Diversification and MA(1) Time Series

Jaap Geluk (), Liang Peng and Casper de Vries
Additional contact information
Jaap Geluk: Econometric Institute, Erasmus University Rotterdam
Liang Peng: Center for Mathematics and its Applications, Australian National University, Canberra

No 99-088/2, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: The paper characterizes first and second order tail behavior ofconvolutions of i.i.d. heavy tailed random variables with supporton the real line. The result is applied to the problem of riskdiversification in portfolio analysis and to the estimation of theparameter in a MA(1) model.

Date: 1999-11-18
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Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:19990088

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