1988
DOI: 10.1007/978-1-4684-0302-2
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Brownian Motion and Stochastic Calculus

Abstract: I TAKEUTIIZARING . Introduction to Axiomatic Set Theory. 2nd ed . OXTOBY . Measure and Category. 2nd ed . SCHAEFFER. Topological Vector Spaces . HILTON/STAMMBACH . A Course in Hom ological Algebra. MACLANE. Categories for the Working Mathematician. HUGHES/PIPER . Projective Planes . SERRE. A Course in Arithmetic . TAKEUTI/ZARING . Axiomatic Set Theory . HUMPHREYS . Introduction to Lie Algebras and Representation Theory. COHEN . A Course in Simple Homotopy Theory. II CONWAY . Functions of One Complex Variable .… Show more

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Cited by 2,054 publications
(1,614 citation statements)
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“…[5]. CEV models are regular strong Markov processes: for the case ρ > 1 this is stated in [8], on the other hand for ρ ∈ (0, 1) this fact follows from Sections 5.4 and 5.5 of [10] (since the conditions ND' and LI' on p 343 hold). Finally observe that ρ = 1 is the classical geometric Brownian motion model.…”
Section: Example 2 Consider the Cev Modelmentioning
confidence: 99%
“…[5]. CEV models are regular strong Markov processes: for the case ρ > 1 this is stated in [8], on the other hand for ρ ∈ (0, 1) this fact follows from Sections 5.4 and 5.5 of [10] (since the conditions ND' and LI' on p 343 hold). Finally observe that ρ = 1 is the classical geometric Brownian motion model.…”
Section: Example 2 Consider the Cev Modelmentioning
confidence: 99%
“…The meaning will always be clear from the context. Restrictions on + Y and _ Y that guarantee C5(a) are well known and can be found, for example, in Karatzas and Shreve [32]. In the case in which r and ' are deterministic processes, the process Y should be taken to be the empty function.…”
Section: Computational Approachmentioning
confidence: 99%
“…The Laplace transform G solves the following backward Kolmogorov equation Karatzas and Shreve (1991):…”
Section: Appendix A: the Conditional Laplace Transformmentioning
confidence: 99%