Pricing early-exercise and discrete barrier options by fourier-cosine series expansions

نویسندگان

  • Fang Fang
  • Cornelis W. Oosterlee
چکیده

We present a pricing method based on Fourier-cosine expansions for early-exercise and discretely-monitored barrier options. The method works well for exponential Lévy asset price models. The error convergence is exponential for processes characterized by very smooth (C[a, b] ∈ R) transitional probability density functions. The computational complexity is O((M − 1)N logN) with N a (small) number of terms from the series expansion, and M , the number of early-exercise/monitoring dates. This paper is the follow-up of [22] in which we presented the impressive performance of the Fourier-cosine series method for European options.

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عنوان ژورنال:
  • Numerische Mathematik

دوره 114  شماره 

صفحات  -

تاریخ انتشار 2009