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  • 标题:Ruin Probabilities and Complex Analysis
  • 本地全文:下载
  • 作者:Andrew P. Leung
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2022
  • 卷号:12
  • 期号:1
  • 页码:214-237
  • DOI:10.4236/jmf.2022.121013
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This paper considers the solution of the equations for ruin probabilities in infinite continuous time. Using the Fourier Transform and certain results from the theory of complex functions, these solutions are obtained as complex integrals in a form which may be evaluated numerically by means of the inverse Fourier Transform. In addition the relationship between the results obtained for the continuous time cases, and those in the literature, are compared. Closed form ruin probabilities for the heavy tailed distributions: mixed exponential; Gamma (including Erlang); Lognormal; Weibull; and Pareto, are derived as a result (or computed to any degree of accuracy, and without the use of simulations).
  • 关键词:ReservesRuin Probability in Infinite Continuous TimeLebesgue SpacesFourier TransformInverse Fourier TransformAnalytic FunctionsCauchy’s Theorem
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