ST409 Half Unit
Stochastic Processes
This information is for the 2014/15 session.
Teacher responsible
Dr Kostas Kardaras COL 6.09
Availability
This course is compulsory on the MSc in Financial Mathematics and MSc in Risk and Stochastics. This course is available on the MSc in Applicable Mathematics, MSc in Econometrics and Mathematical Economics, MSc in Management and Regulation of Risk, MSc in Risk and Finance, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is available with permission as an outside option to students on other programmes where regulations permit.
Pre-requisites
Students must have completed Further Mathematical Methods (MA212).
Good undergraduate knowledge of distribution theory
Course content
A broad introduction to stochastic processes for postgraduates with an emphasis on financial and actuarial applications. The course examines Martingales, Poisson Processes, Brownian motion, stochastic differential equations and diffusion processes. Applications in Finance. Actuarial applications.
Teaching
20 hours of lectures, 10 hours of seminars and 10 hours of workshops in the MT.
Indicative reading
T Bjork, Arbitrage Theory in Continuous Time; T Mikosch, Elementary Stochastic Calculus; S I Resnick, Adventures in Stochastic Processes; B K Oksendal, Stochastic Differential Equations: An Introduction with Applications, D Williams, Probability with Martingales.
Assessment
Exam (100%, duration: 2 hours) in the main exam period.
Key facts
Department: Statistics
Total students 2013/14: 69
Average class size 2013/14: 71
Controlled access 2013/14: No
Lecture capture used 2013/14: No
Value: Half Unit
Personal development skills
- Team working
- Problem solving
- Application of information skills
- Application of numeracy skills
- Specialist skills
