Not available in 2021/22
ST426      Half Unit
Applied Stochastic Processes

This information is for the 2021/22 session.

Teacher responsible

Dr Erik Baurdoux COL 6.04


This course is available on the MSc in Financial Mathematics, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (LSE and Fudan), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is available as an outside option to students on other programmes where regulations permit.

Course content

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.

Formative coursework

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.

Indicative reading

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

Fluctuations of Lévy Processes with Applications. Andreas Kyprianou

Selected papers from scientific journals.


Exam (100%, duration: 2 hours) in the summer exam period.

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Student performance results

(2017/18 - 2019/20 combined)

Classification % of students
Distinction 58.6
Merit 20.7
Pass 20.7
Fail 0

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Statistics

Total students 2020/21: Unavailable

Average class size 2020/21: Unavailable

Controlled access 2020/21: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Specialist skills