1976
DOI: 10.1017/s002190020009433x
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Evaluations of barrier-crossing probabilities of Wiener paths

Abstract: Let {W(t), 0 ≦ t < ∞} be the standard Wiener process. The main purpose of this paper is to present ways of obtaining probabilities of Wiener paths crossing certain curves on various intervals. The results are extended to other kinds of Gaussian processes.

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Cited by 27 publications
(50 citation statements)
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“…Equation (37) is consistent with Park and Schuurmann ((1976), thm. 1) and similar to the integral equation used by Longstaff and Schwartz ((1995), eq.…”
Section: The First Passage Time Densitysupporting
confidence: 65%
See 1 more Smart Citation
“…Equation (37) is consistent with Park and Schuurmann ((1976), thm. 1) and similar to the integral equation used by Longstaff and Schwartz ((1995), eq.…”
Section: The First Passage Time Densitysupporting
confidence: 65%
“…Following Kuan and Webber (2003), the next proposition shows that such first passage time density can be efficiently computed, for any exercise boundary specification, through the standard partition method proposed by Park and Schuurmann (1976).…”
Section: The First Passage Time Densitymentioning
confidence: 99%
“…Following (Park and Schuurmann 1976, Theorem 2), next proposition recovers the two optimal hitting time densities involved in Eqs. 68 and 69 as the implicit solutions of two simultaneous integral equations.…”
Section: A More General Setupmentioning
confidence: 81%
“…49 through the standard partition method proposed by Park and Schuurmann (1976). Corollary 1, together with Proposition 3, constitutes the quasi-analytical pricing solution proposed for the American put under a general Gauss-Markov and multifactor HJM framework.…”
Section: Proposition 3 For the Pricing Model Described In Definition mentioning
confidence: 93%
“…Durbin developed a technique in (Durbin, 1971) for computing boundarycrossing probabilities for the Brownian motion and Poisson processes. C. Park and F. J. Schuurmann have refined and augmented that technique (Park & Schuurmann, 1976). We will now demonstrate how their method can be applied to our problems.…”
Section: Ornstein-uhienbeck Distributionsmentioning
confidence: 99%