ST426 Half Unit
Applied Stochastic Processes
This information is for the 2016/17 session.
Dr Erik Baurdoux COL 6.04
This course is available on the MSc in Financial Mathematics, MSc in Risk and Stochastics, MSc in Statistics, MSc in Statistics (Financial Statistics) and MSc in Statistics (Research). This course is available as an outside option to students on other programmes where regulations permit.
This course builds on material discussed in ST409 (Stochastic Processes). In particular, elements of the general theory of semi-martingales will be covered and emphasis will be given on presenting a variety of models involving processes with general dynamics, including jumps. The theory will be applied to a range of topics in mathematical finance and insurance, as well as financial economics.
20 hours of lectures and 10 hours of seminars in the LT. 2 hours of lectures in the ST.
Week 6 will be used as a reading week; exercises will be given out to students to do at home.
A set of coursework similar to the exercises that will appear in the exam will be assigned. Additional formative exercise will be available through Moodle.
Brownian Motion and Stochastic Calculus. Ioannis Karatzas and Steve Shreve
Numerical Solution of Stochastic Differential Equations with Jumps in Finance. Eckhard Platten, Nicola Bruti-Liberati.
Essentials of Stochastic Finance: Facts, Models, Theory. Albert Shiryaev.
Stochastic Integration and Differential Equations. Phillip Protter.
Levy Processes in Finance: Pricing Financial Derivatives. Wim Schoutens
Selected papers from scientific journals.
Exam (100%, duration: 2 hours) in the main exam period.
Total students 2015/16: 5
Average class size 2015/16: 5
Controlled access 2015/16: No
Value: Half Unit
Personal development skills
- Specialist skills