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Publicaciones

Combining Probabilistic and Possibilistic Aspects of Background Risk

Autores

Georgescu, Irina

Publicación externa

No

Medio

International Symposium On Computational Intelligence And Informatics

Alcance

Proceedings Paper

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Fecha de publicacion

01/01/2012

ISI

000319991600038

Abstract

Investment models with background risk are usually treated by probability theory. In this paper two mixed models are studied: the investment risk is a fuzzy number (a random variable, respectively) and the background risk is a random variable (a fuzzy number, respectively). Optimization problems are formulated, the existence and computation of optimal solutions and the way they are influenced by the investor's risk aversion are studied.