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  • 标题:A Clustering Method to Solve Backward Stochastic Differential Equations with Jumps
  • 本地全文:下载
  • 作者:Liangliang Zhang
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • 页码:1-9
  • DOI:10.4236/jmf.2020.101001
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we introduce a clustering method to approximate the solution to a general Backward Stochastic Differential Equation with Jumps (BSDEJ). We show the convergence of the sequence of approximate solutions to the true one. The method is implemented for an application in finance. Numerical results show that the method is efficient..
  • 关键词:Backward Stochastic Differential Equation with Jumps;Jump Diffusion;Clus;tering;Weak Convergence
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