Financial Engineering - ECO00017M

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  • Department: Economics and Related Studies
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2022-23

Module will run

Occurrence Teaching period
A Spring Term 2022-23 to Summer Term 2022-23

Module aims

Providing the students with an exhaustive background in pricing financial assets and derivatives using stochastic differential equations.

Showing how to use various computer softwares (mainly Matlab) to have a deeper understanding of the theoretical models covered in the lectures.

Module learning outcomes

Information currently unavailable

Indicative assessment

Task % of module mark
Online Exam -less than 24hrs (Centrally scheduled) 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Online Exam -less than 24hrs (Centrally scheduled) 100

Module feedback

Information currently unavailable

Indicative reading

The modle is based on the lecture notes. The material in the lecture notes is a synthesis of various texts and a number of specialist papers in this area that will be provided in due course.

In particular reference is made to:

Hull, J.C., Options, Futures and other Derivatives, Prentice Hall, 5th Edition, 2003 (or later editions).

Although not necessary, a furhter useful reading would be:

Bjork, T., Arbitrage Theory in Continuous Time, Oxford University Press, 1998 (or later editions).