4.2 Article

DEPENDENT RISK MODELS WITH BIVARIATE PHASE-TYPE DISTRIBUTIONS

期刊

JOURNAL OF APPLIED PROBABILITY
卷 46, 期 1, 页码 113-131

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1239/jap/1238592120

关键词

Surplus process; bivariate phase-type distribution; fluid queue; Gerber-Shiu function; deficit at ruin; surplus prior to ruin

资金

  1. Natural Sciences and Engineering Research Council of Canada
  2. Institute for Quantitative Finance
  3. Insurance at the University of Waterloo

向作者/读者索取更多资源

In this paper we consider an extension of the Sparre Andersen insurance risk model by relaxing one of its independence assumptions. The newly proposed dependence structure is introduced through the premise that the joint distribution of the interclaim time and the subsequent claim size is bivariate phase-type (see, e.g. Assaf et al. (1984) and Kulkarni (1989)). Relying on the existing connection between risk processes and fluid flows (see, e.g. Badescu et al. (2005), Badescu, Drekic and Landriault (2007), Ramaswami (2006), and Ahn, Badescu and Ramaswami (2007)), we construct an analytically tractable fluid flow that leads to the analysis of various ruin-related quantities in the aforementioned risk model. Using matrix-analytic methods, we obtain an explicit expression for the Gerber-Shiu discounted penalty function (see Gerber and Shitt (1998)) when the penalty function depends on the deficit at ruin only. Finally, we investigate how some ruin-related quantities involving the surplus immediately prior to ruin can also be analyzed via our fluid flow methodology.

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