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  • 标题:A New Recombination Tree Algorithm for Mean-Reverting Interest-Rate Dynamics
  • 本地全文:下载
  • 作者:Peter C. L. Lin
  • 期刊名称:American Journal of Computational Mathematics
  • 印刷版ISSN:2161-1203
  • 电子版ISSN:2161-1211
  • 出版年度:2013
  • 卷号:03
  • 期号:04
  • 页码:291-296
  • DOI:10.4236/ajcm.2013.34038
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In light of the fact that no existing tree algorithms can guarantee the recombination property for general Ornstein-Uhlenbeck processes with time-dependent parameters, a new trinomial recombination-tree algorithm is designed in this research. The proposed algorithm enhances the existing mechanisms in interest-rate modelings with the comparisons to [1,2] methodologies, and the proposed framework provides a more efficient way in discrete-time mean-reverting simulations.
  • 关键词:Natural Asset; Financial Value; Neural Network
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