Syllabus/achievement requirements

  1. Review of Measure Theory.
  2. Review of Probability Theory.
  3. Review of Stochastic Processes.
  4. Infinitely Divisible Distributions.
  5. Lévy Processes.
  6. Martingales and Lévy Processes.
  7. Poisson Random Measures.
  8. The Lévy-It? Decomposition.
  9. Stochastic Integration with respect to Lévy Processes.
  10. Exponential Martingales and Change of Measure.
  11. The Black-Scholes Model.
  12. Exponential Lévy Models.
  13. Pricing in Exponential Lévy Models.
  14. Hedging in Exponential Lévy Models.

If time permits we will also cover the following topics:

15. Simulation of Lévy Processes.

16. Risk measures.

 

In this course, we will not follow a particular book. I will try to upload the notes of the topic covered each week one week in advance. Therefore, there is no need to buy a book to follow the lectures.

However, most of the material I will present (but not all) can be found in the following two references:

[A] David Applebaum. Lévy Processes and Stochastic Calculus. Second Edition. (2009) Cambridge University Press.

[CT] Rama Cont & Peter Tankov. Financial Modelling with Jump Processes. (2004) Chapman & Hall/CRC

The book [A] focus its attention to present the more mathematical aspects of the course. In particular, the properties of Lévy processes and stochastic integration with respect to martingale valued measures.

The book [CT] also covers most of the mathematical aspects of the course but, in addition, it presents many financial applications.

If you want to buy a book and you are more interested in the financial applications of Lévy processes I recommend you to buy [CT].

Published Jan. 13, 2019 9:28 PM - Last modified Jan. 13, 2019 9:28 PM