Stochastic Calculus for Fractional Brownian Motion and Related Processes

The theory of fractional Brownian motion and other long-memory processes are addressed in this volume. Interesting topics for PhD students and specialists in probability theory, stochastic analysis and financial mathematics demonstrate the modern level of this field. Among these are results about Le...

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Autor principal: Mishura, Yuliya S., 1952-
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:1st ed. 2008.
Colecção:Lecture Notes in Mathematics 1929
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Nota: L'impression du document génère 410 p.
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Variante du titre:Fractional Brownian motion and related processes
Edition sous un autre format:• Stochastic calculus for fractional Brownian motion and related processes, Yuliya S. Mishura, 2008, Berlin, Springer, 1 vol. (XVII-393 p.), Lecture notes in mathematics, 978-3-540-75872-3
Descrição
Resumo:The theory of fractional Brownian motion and other long-memory processes are addressed in this volume. Interesting topics for PhD students and specialists in probability theory, stochastic analysis and financial mathematics demonstrate the modern level of this field. Among these are results about Levy characterization of fractional Brownian motion, maximal moment inequalities for Wiener integrals including the values 0<H<1/2 of Hurst index, the conditions of existence and uniqueness of solutions to SDE involving additive Wiener integrals, and of solutions of the mixed Brownian-fractional Brownian SDE. The author develops optimal filtering of mixed models including linear case, and studies financial applications and statistical inference with hypotheses testing and parameter estimation. She proves that the market with stock guided by the mixed model is arbitrage-free without any restriction on the dependence of the components and deduces different forms of the Black-Scholes equation for fractional market.
Descrição do item:L'impression du document génère 410 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografia:Bibliogr. Index
ISBN:9783540758730
ISSN:1617-9692
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