Mathematical Finance

DIG1Many topics in mathematical finance can make good project topics. The key to understanding lies in the modelling of the random behaviour seen in prices of shares, oil, foreign exchange rates and the like. Projects in this area usually require solving either stochastic differential equations (SDE’s) or partial differential equations (PDE’s) analytically and/or numerically. A large variety of methods can be used. The numerical methods can be coded in Excel or Maple. Alternatively, for those wishing to develop programming skills, R or fortran enable industrial-scale computations to be carried out.

Supervisor: Dr David Graham

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