Not available in 2020/21
ST426 Half Unit
Applied Stochastic Processes
This information is for the 2020/21 session.
Teacher responsible
Dr Erik Baurdoux COL 6.04
Availability
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) (ÐÓ°ÉÂÛ̳ 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.
Teaching
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.
Assessment
Exam (100%, duration: 2 hours) in the summer exam period.
Student performance results
(2016/17 - 2018/19 combined)
| Classification | % of students |
|---|---|
| Distinction | 42.9 |
| Merit | 25 |
| Pass | 32.1 |
| Fail | 0 |
Important information in response to COVID-19
Please note that during 2020/21 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 situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of 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 2019/20: 11
Average class size 2019/20: 11
Controlled access 2019/20: No
Value: Half Unit
Personal development skills
- Specialist skills
