1.

Record Nr.

UNINA9910457662903321

Autore

Applebaum David <1956->

Titolo

Lévy processes and stochastic calculus / / David Applebaum [[electronic resource]]

Pubbl/distr/stampa

Cambridge : , : Cambridge University Press, , 2004

ISBN

1-107-14887-1

1-280-54040-0

9786610540402

0-511-21477-4

0-511-21656-4

0-511-21119-8

0-511-31534-1

0-511-75532-5

0-511-21296-8

Descrizione fisica

1 online resource (xxiv, 384 pages) : digital, PDF file(s)

Collana

Cambridge studies in advanced mathematics ; ; 93

Disciplina

519.2/2

Soggetti

Lévy processes

Stochastic analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Nota di bibliografia

Includes bibliographical references (p. 360-374) and indexes.

Nota di contenuto

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 index

Sommario/riassunto

Lévy 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.