Table des matières

Course unit: Mathematical finance

Beware! Under construction.

Course metadata

Brief description

The aim of the course is to provide students with mathematical methods that allow valuating financial assets. Several instructors are Centrale Marseille alumni.

This course unit is divided into four parts:

Learning outcomes

Course content

Stochastic calculus and introduction to the Black-Scholes model

  1. Gaussian variable and stochastic processes
  2. Brownian motions
  3. Stochastic integration and semi-martingales
  4. Stochastic differential equations
  5. Parabolic partial differential equations and semigroups
  6. Measure change and Girsanov theorem
  7. Introduction to financial mathematics

Volatility models

  1. Elementary financial mathematics notions
  2. PDE: Black Scholes and risk neutral measure
  3. Dupire’s local volatility: advantages and drawbacks
  4. Stochastic volatility (Heston and SABR)
  5. Tutorial: discretization of the Heston’s model

Interest rate models

  1. A Mathematical Toolkit
  2. Interest rates, swaps and options
  3. One-factor Short-Rates Models
  4. Two-factor Short-Rates Models
  5. The Health-Jarrow-Morton (HJM) Model
  6. The change of numeraire
  7. Derivatives Pricing under the Libor Market Model

Data Project: modeling and validation

tba

Bibliography

You can check the availability of the books below at Centrale Marseille library. - Stochastic calculus

- Volatility models

- Interest rate models