Fourier transformation and the pricing of average-rate derivatives |
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Authors: | Nengjiu Ju Rui Zhong |
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Institution: | (1) School Business and Management, Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong;(2) College of Business Administration, University of Texas, Arlington, Texas 76019, USA |
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Abstract: | In this article we propose a method to compute the density of the arithmetic average of a Markov process. This approach is
then applied to the pricing of average rate options (Asian options). It is demonstrated that as long as a closed form formula
is available for the discount bond price when the underlying process is treated as the riskless interest rate, analytical
formulas for the density function of the arithmetic average and the Asian option price can be derived. This includes the affine
class of term structure models. The Cox et al. (1985) square root interest rate process is used as an example. When the underlying
process follows a geometric Brownian motion, a very efficient numerical method is proposed for computing the density function
of the average. Extensions of the techniques to the cases of multiple state variables are also discussed.
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Keywords: | Fourier transformation Average-rate derivaties Forward risk-neutral measure |
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