Fluctuations of Lévy Processes with Applications

Introductory Lectures

  • Andreas E. Kyprianou

Part of the Universitext book series (UTX)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Andreas E. Kyprianou
    Pages 1-33
  3. Andreas E. Kyprianou
    Pages 35-69
  4. Andreas E. Kyprianou
    Pages 71-89
  5. Andreas E. Kyprianou
    Pages 91-113
  6. Andreas E. Kyprianou
    Pages 115-152
  7. Andreas E. Kyprianou
    Pages 153-196
  8. Andreas E. Kyprianou
    Pages 197-229
  9. Andreas E. Kyprianou
    Pages 231-255
  10. Andreas E. Kyprianou
    Pages 257-273
  11. Andreas E. Kyprianou
    Pages 275-305
  12. Andreas E. Kyprianou
    Pages 307-333
  13. Andreas E. Kyprianou
    Pages 335-361
  14. Andreas E. Kyprianou
    Pages 363-410
  15. Back Matter
    Pages 411-455

About this book


Lévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around which a robust mathematical theory exists. Their application appears in the theory of many areas of classical and modern stochastic processes including storage models, renewal processes, insurance risk models, optimal stopping problems, mathematical finance, continuous-state branching processes and positive self-similar Markov processes.

This textbook is based on a series of graduate courses concerning the theory and application of Lévy processes from the perspective of their path fluctuations. Central to the presentation is the decomposition of paths in terms of excursions from the running maximum as well as an understanding of short- and long-term behaviour.

The book aims to be mathematically rigorous while still providing an intuitive feel for underlying principles. The results and applications often focus on the case of Lévy processes with jumps in only one direction, for which recent theoretical advances have yielded a higher degree of mathematical tractability.

The second edition additionally addresses recent developments in the potential analysis of subordinators, Wiener-Hopf theory, the theory of scale functions and their application to ruin theory, as well as including an extensive overview of the classical and modern theory of positive self-similar Markov processes. Each chapter has a comprehensive set of exercises.

Andreas Kyprianou has a degree in Mathematics from the University of Oxford and a Ph.D. in Probability Theory from The University of Sheffield. He is currently a Professor of Probability at the University of Bath, having held academic positions in Mathematics and Statistics Departments at the London School of Economics, Edinburgh University, Utrecht University and Heriot-Watt University, besides working for nearly two years as a research mathematician in the oil industry. His research is focused on pure and applied probability.


60G50, 60G51, 60G52 Potential Analysis Probability Theory Stochastic Processes

Authors and affiliations

  • Andreas E. Kyprianou
    • 1
  1. 1.Department of Mathematical SciencesUniversity of BathBathUnited Kingdom

Bibliographic information