ST440      Half Unit
Recent Developments in Finance and Insurance

This information is for the 2016/17 session.

Teacher responsible

Dr Beatrice Acciaio COL 6.02


This course is compulsory on the MSc in Risk and Stochastics. This course is available on the MSc in Financial Mathematics, MSc in Statistics (Financial Statistics) 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.


Students must have completed Stochastic Processes (ST409).

Course content

Recent developments in the theory of stochastic processes and applications in finance and insurance and their interface. A variety of topics will be chosen, from robust evaluation; optimal hedging; evaluation via utility criteria; optimal risk sharing; minimal capital requirement according to the Basel Accords and the Solvency Directives; life insurance.


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

During weeks 10 and 11, students will be required to give group presentations using material which will have been provided in week 1 or 2; as well as discussing in groups solutions to problems that will have been set in class. Week 6 will also used by students to prepare their presentations and work through exercises.

Formative coursework

A set of coursework similar to the exercises that will appear in the exam will be assigned as well as a mock exam.

Indicative reading

H. Foellmer and A. Schied: Stochastic finance. An introduction in discrete time. (3rd ed.), de Gruyter.

Selected papers from scientific journals.


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

Student performance results

(2012/13 - 2014/15 combined)

Classification % of students
Distinction 37.2
Merit 14.1
Pass 34.6
Fail 14.1

Key facts

Department: Statistics

Total students 2015/16: 30

Average class size 2015/16: 30

Controlled access 2015/16: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Specialist skills