Linear-time accurate lattice algorithms for tail conditional expectation

نویسندگان

  • Bryant Chen
  • William W. Y. Hsu
  • Jan-Ming Ho
  • Ming-Yang Kao
چکیده

This paper proposes novel lattice algorithms to compute tail conditional expectation of European calls and puts in linear time. We incorporate the technique of prefix-sum into tilting, trinomial, and extrapolation algorithms as well as some syntheses of these algorithms. Furthermore, we introduce fractional-step lattices to help reduce interpolation error in the extrapolation algorithms. We demonstrate the efficiency and accuracy of these algorithms with numerical results. A key finding is that combining the techniques of tilting lattice, extrapolation, and fractional steps substantially increases speed and accuracy.

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عنوان ژورنال:
  • Algorithmic Finance

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2014