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A truncated version of the birnbaum-saunders distribution with an application in financial risk
Author(s):
1. S. Ejaz Ahmed: Department of Mathematics & Statistics, University of Windsor, Windsor, CANADA
2. Claudia Castro-Kuriss: Departamento de Materias Fisico-Matematicas, Instituto Tecnologico de Buenos Aires, Igbariam, NIGERIA
3. Esteban Flores: Departamento de Actuaria y Seguros, Instituto Tecnologico Autonomo de Mexico, mexico, UNITED STATES
4. Víctor Leiva: Departamento de Estadistica, CIMFAV, Universidad de Valparaiso, Valparaiso, CHILE
5. Antonio Sanhueza: Departamento de Matematica y Estadistica, Universidad de La Frontera, Temuco, CHILE
Abstract:
In many Solvency and Basel loss data, there are thresholds or deductibles that affect the analysis capability. On the other hand, the Birnbaum-Saunders model has received great attention during the last two decades and it can be used as a loss distribution. In this paper, we propose a solution to the problem of deductibles using a truncated version of the Birnbaum-Saunders distribution. The probability density function, cumulative distribution function, and moments of this distribution are obtained. In addition, properties regularly used in insurance industry, such as multiplication by a constant (inflation effect) and reciprocal transformation, are discussed. Furthermore, a study of the behavior of the risk rate and of risk measures is carried out. Moreover, estimation aspects are also considered in this work. Finally, an application based on real loss data from a commercial bank is conducted.
Page(s): 293-311
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics, Volume: 26, Issue: 1, Year: 2010
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