Lévy Processes and Stochastic Calculus
Процессы Леви и стохастическое исчисление
2004-07-05
SCID: 54.1/6mcxdjef
Discuss with AI
Lévy processesoption pricingstochastic calculusstochastic differential equationsstochastic integrals
Figures from the paper
Abstract (AI)
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.
Key Findings
1
It develops stochastic integration and stochastic differential equations driven by Lévy processes in a direct and accessible framework.
2
It offers a comprehensive mathematical foundation for applications of Lévy processes in areas such as physics and finance.
3
The book presents key tools for stochastic option pricing, including Itô’s formula, Girsanov’s theorem, and the martingale representation theorem.
4
The book provides an integrated treatment connecting the general theory of Lévy processes with stochastic calculus for Lévy-driven systems.
5
The exposition introduces foundational concepts including martingales, semimartingales, Markov and Feller processes, semigroups, generators, and Dirichlet forms.
Research Object
Lévy processes
Research Subject
stochastic calculus for Lévy processes, including stochastic integrals and stochastic differential equations driven by them
Publication Details
Publication Date
2004-07-05
Journal
Publisher
ISSN
Access Type
Author Information
Download PDF
Subscribe to digest