ST330     
Stochastic and Actuarial Methods in Finance

This information is for the 2022/23 session.

Teacher responsible

Dr Erik Baurdoux COL 6.04

Availability

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Data Science and BSc in Mathematics, Statistics and Business. This course is not available as an outside option. This course is available to General Course students.

Pre-requisites

Students must have completed:

EITHER Probability, Distribution Theory and Inference (ST202) OR Probability and Distribution Theory (ST206)

AND Stochastic Processes (ST302).

Course content

Theories of financial market behaviour. Applications of stochastic processes and actuarial models in finance. Utility theory. Stochastic dominance and portfolio selection. Measures of investment risk. Mean-variance portfolio theory. Single and multifactor models. The Capital Asset Pricing Model. The efficient market hypothesis.

Introduction to financial markets. Model-free relationships.

Stochastic models for security prices and interest rates and estimating their parameters. Option pricing: general framework in discrete and continuous time, the Black-Scholes analysis and numerical procedures (binomial models and Cox-Ross-Rubinstein models). The term structure of interest rates: the Vasicek, the Cox-Ingersoll-Ross and other models.  Introduction to credit risk.

Teaching

This course will be delivered through a combination of seminars and lectures totalling a minimum of 60 hours across Michaelmas Term and Lent Term.

This course includes a reading week in Week 6 of Michaelmas/Lent Term.

Students will work on and submit formative coursework towards the end of MT and a second set of formative coursework towards the end of LT. Feedback and solutions will be provided

Formative coursework

Two sets of hand-in exercises will also be given during the year. 

Indicative reading

N H Bingham & R Kiesel, Risk Neutral Valuation; A Cerny, Mathematical Techniques in Finance: Tools for Incomplete Markets; J Hull, Options, Futures & Other Derivatives; R Jarrow & S Turnbull, Derivative Securities; D Luenberger, Investment Science; Institute of Actuaries core reading notes, Subject CT8.

Assessment

Exam (90%, duration: 3 hours) in the summer exam period.
Coursework (10%) in the LT.

Student performance results

(2019/20 - 2021/22 combined)

Classification % of students
First 44.7
2:1 25.9
2:2 15.7
Third 7.6
Fail 6.1

Key facts

Department: Statistics

Total students 2021/22: 66

Average class size 2021/22: 34

Capped 2021/22: No

Lecture capture used 2021/22: Yes (LT)

Value: One Unit

Guidelines for interpreting course guide information

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.

Personal development skills

  • Problem solving
  • Application of numeracy skills
  • Specialist skills