ÐÓ°ÉÂÛ̳

 

ST439      Half Unit
Stochastics for Derivatives Modelling

This information is for the 2019/20 session.

Teacher responsible

Dr Luciano Campi COL 5.04

Availability

This course is compulsory on the MSc in Quantitative Methods for Risk Management. This course is available on the MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (ÐÓ°ÉÂÛ̳ and Fudan) and MSc in Statistics (Financial 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 Stochastic Processes (ST409).

Course content

Valuation and hedging of derivative securities: general principles of mathematical finance; asset price models; static vs dynamic option pricing; connection with PDEs; exotic options; volatility derivatives; mean-variance hedging; Dupire's formula.

Teaching

20 hours of lectures and 10 hours of seminars in the LT.

Week 6 will be used as a revision week.

Formative coursework

Weekly homework will be set. Students are not expected to submit this homework but will go over the exercises in the following seminar with the lecturer.

Indicative reading

Steven Shreve, Stochastic Calculus for Finance II: Continuous-Time Models, Springer.

Selected papers from scientific journals.

Thorsten Rheinlander and Jenny Sexton, Hedging Derivatives, World Scientific.

Assessment

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

Student performance results

(2015/16 - 2017/18 combined)

Classification % of students
Distinction 24.8
Merit 32.2
Pass 28.1
Fail 14.9

Key facts

Department: Statistics

Total students 2018/19: 37

Average class size 2018/19: 37

Controlled access 2018/19: No

Value: Half Unit

Personal development skills

  • Problem solving
  • Application of information skills
  • Specialist skills