1997
DOI: 10.2139/ssrn.882009
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Evaluation of Derivative Security Prices in the Heath-Jarrow-Morton Framework as Path Integrals using Fast Fourier Transform Techniques

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Cited by 14 publications
(10 citation statements)
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“…For t 1 < t < t 2 , the probability distribution function for the paths of the Gaussian process equals The term DW denotes path integration over all the random variables W (t) which appear in the problem. A path integral approach to the HJM model has been discussed in Chiarella and El-Hassan [7] although the action derived is different than the one given above since a different set of variables were involved. A formula for the generating function of forward rates driven by a Gaussian process is given by the path integral This path integral is crucial for applications involving the pricing of derivatives as demonstrated in Sec.…”
Section: A1 Restatement Of Hjmmentioning
confidence: 99%
“…For t 1 < t < t 2 , the probability distribution function for the paths of the Gaussian process equals The term DW denotes path integration over all the random variables W (t) which appear in the problem. A path integral approach to the HJM model has been discussed in Chiarella and El-Hassan [7] although the action derived is different than the one given above since a different set of variables were involved. A formula for the generating function of forward rates driven by a Gaussian process is given by the path integral This path integral is crucial for applications involving the pricing of derivatives as demonstrated in Sec.…”
Section: A1 Restatement Of Hjmmentioning
confidence: 99%
“…A path integral approach to the HJM-model has been discussed in [14]; the action they derive is different than the one given above since they use a different set of variables and end up with an action involving the time derivatives of their variables.…”
Section: Path Integral Formulation Of the Hjm-modelmentioning
confidence: 99%
“…One can quite easily extend the Fourier pricing formula from binomial lattice of Part I to multinomial lattices, see µ Cerný [2004, Chapter 12]. Further applications of FFT appear in Albanese et al [2004], Andreas et al [2002], Benhamou [2002], Chiarella and El-Hassan [1997], Dempster and Hong [2002], and Rebonato and Cooper [1998]. For the most up-to-date developments in option pricing using (continuous) Fourier transform see Carr and Wu [2004], and for evalution of hedging errors refer to µ Cerný [2003] and Hubalek et al [2004].…”
Section: Discussionmentioning
confidence: 99%