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Lévy Processes and Stochastic Calculus

Lévy Processes and Stochastic Calculus

Lévy Processes and Stochastic Calculus

David Applebaum, Nottingham Trent University
July 2006
Adobe eBook Reader
9780511207617
$80.00
USD
Adobe eBook Reader

    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.

    • For first time in book form, develops stochastic integrals and stochastic differential equations driven by Levy processes, including introduction to the theory of Dirichlet forms
    • Discussion of all the tools which are needed for the stochastic approach to option pricing, including Itô's formula, Girsanov's theorem and the martingale representation theorem
    • An introduction to option pricing with particular reference to incomplete markets

    Reviews & endorsements

    "I would recommend this book as a reference textbook for advanced courses like stochastic modeling or stochastic calculus in finance."
    Alexander Novikov, University of Technology

    See more reviews

    Product details

    July 2006
    Adobe eBook Reader
    9780511207617
    0 pages
    0kg
    133 exercises
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 1. Introduction
    • 2. Lévy processes
    • 3. Martingales, stopping times and random measures
    • 4. Markov processes, semigroups and generators
    • 5. Stochastic integration
    • 6. Exponential martingales, change of measure and financial applications
    • 7. Stochastic differential equations
    • Notation
    • Bibliography
    • Index.