2002
DOI: 10.1016/s0378-4371(02)00796-3
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A path integral way to option pricing

Abstract: An efficient computational algorithm to price financial derivatives is presented. It is based on a path integral formulation of the pricing problem. It is shown how the path integral approach can be worked out in order to obtain fast and accurate predictions for the value of a large class of options, including those with path-dependent and early exercise features. As examples, the application of the method to European and American options in the Black-Scholes model is illustrated. A particularly simple and fas… Show more

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Cited by 32 publications
(43 citation statements)
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“…(2.7), and equating equal powers of ∆t leads in a straightforward way to a decoupled equation for the order zero in ∆t giving 9) and to the following set of recursive differential equations:…”
Section: (24)mentioning
confidence: 99%
“…(2.7), and equating equal powers of ∆t leads in a straightforward way to a decoupled equation for the order zero in ∆t giving 9) and to the following set of recursive differential equations:…”
Section: (24)mentioning
confidence: 99%
“…Related attempts can be found in the literature [3]. We assume a discretization of the time to maturity τ in intervals ǫ = τ /N, with N an arbitrary (large) integer.…”
Section: Monte Carlo Simulationsmentioning
confidence: 99%
“…In general we do not have an explicit expression for the transition probabilities for small time steps, However using a Gaussian transition probability 13,21,22 …”
Section: Transition Probabilities With a Gaussianmentioning
confidence: 99%
“…The method becomes useful when one wants to calculate the transition probabilities, which are associated to a given stochastic process. In this framework finite time transition probability can be written as a convolution of short time transition probabilities 11,13,21,22 Once an explicit method is written down to calculate the transitions probabilities it is possible to calculate the expectation values of the quantities of financial interest, given by the form i.e.,…”
Section: The Path Integral Approach: An Introductionmentioning
confidence: 99%
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