Financial Mathematics III

10 credits

Syllabus, Master's level, 1MA042

A revised version of the syllabus is available.
Code
1MA042
Education cycle
Second cycle
Main field(s) of study and in-depth level
Mathematics A1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 3 November 2008
Responsible department
Department of Mathematics

Entry requirements

120 credit points including Financial Mathematics II, Measure Theory and Stochastic Integration, Partial Differential Equations with Applications to Finance

Learning outcomes

In order to pass the course (grade 3) the student should be able to

  • construct models for pricing advanced financial derivatives;

  • price complex financial derivatives with risk neutral valuation using methods from the theory of parabolic partial differential equations;

  • present advanced financial models and pricing to various users of financial instruments;

  • use measure theory, e.g. Girsanov's theorem and martingale theory for financial modelling;

  • use Levy processes for financial modelling;

  • use free boundary problems, integro-differential equations and non-linear parabolic differential equations for financial modelling.

    Content

    Applications of measure theory and Girsanov's theorem. Optimal stopping time problems and free boundary problems with applications to options of American type. Levy processes and parabolic integro-differential equations with applications to modelling with jump processes. Hedging and super-hedging. Exotic financial derivatives.

    Instruction

    Lectures and problem solving sessions.

    Assessment

    Written and, possibly, oral examination at the end of the course. Moreover, compulsory assignments may be given during the course.

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