03548nam 22006972 450 991078432040332120151005020622.01-107-14887-11-280-54040-097866105404020-511-21477-40-511-21656-40-511-21119-80-511-31534-10-511-75532-50-511-21296-8(CKB)1000000000353172(EBL)266596(OCoLC)171139007(SSID)ssj0000191672(PQKBManifestationID)11166021(PQKBTitleCode)TC0000191672(PQKBWorkID)10186368(PQKB)10388707(UkCbUP)CR9780511755323(MiAaPQ)EBC266596(Au-PeEL)EBL266596(CaPaEBR)ebr10131720(CaONFJC)MIL54040(OCoLC)144618478(PPN)261305441(EXLCZ)99100000000035317220100422d2004|||| uy| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierLévy processes and stochastic calculus /David Applebaum[electronic resource]Cambridge :Cambridge University Press,2004.1 online resource (xxiv, 384 pages) digital, PDF file(s)Cambridge studies in advanced mathematics ;93Title from publisher's bibliographic system (viewed on 05 Oct 2015).0-521-83263-2 Includes bibliographical references (p. 360-374) and indexes.Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Preface; Overview; Notation; 1 Lévy processes; 2 Martingales, stopping times and random measures; 3 Markov processes, semigroups and generators; 4 Stochastic integration; 5 Exponential martingales, change of measure and financial applications; 6 Stochastic differential equations; References; Index of notation; Subject indexLévy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic calculus is the mathematics of systems interacting with random noise. For the first time in a book, Applebaum ties the two subjects together. He begins with an introduction to the general theory of Lévy processes. The second part develops the stochastic calculus for Lévy processes in a direct and accessible way. En route, the reader is introduced to important concepts in modern probability theory, such as martingales, semimartingales, Markov and Feller processes, semigroups and generators, and the theory of Dirichlet forms. There is a careful development of stochastic integrals and stochastic differential equations driven by Lévy processes. The book introduces all the tools that are needed for the stochastic approach to option pricing, including Itô's formula, Girsanov's theorem and the martingale representation theorem.Cambridge studies in advanced mathematics ;93.Lévy Processes & Stochastic CalculusLévy processesStochastic analysisLévy processes.Stochastic analysis.519.2/2Applebaum David1956-151518UkCbUPUkCbUPBOOK9910784320403321Levy processes and stochastic calculus669651UNINA