Ensimag Rubrique Formation 2022

Monte-Carlo methods in financial engineering

  • Number of hours

    • Lectures 9.0
    • Laboratory works 9.0

    ECTS

    ECTS 1.87

Goal(s)

Monte-Carlo methods and their applications to the pricing and hedging of financial derivatives


Contact Jérôme LELONG

Content(s)

  • Sampling Random distributions, discretization of Brownian motion, Brownian bridge;
  • Low discrepency sequences;
  • Variance reduction: stratification, antithetic random variables, importance sampling, adaptive Monte Carlo methods;
  • Numerical methods for computing Greeks.


Prerequisites

Test



N1=(E1+TP)/2
N2=(E2+TP)/2

TP = moyenne des notes de TP
E1 = examen écrit
E2 = examen écrit (session de rattrapage)

Additional Information

Curriculum->For Financial Engineering->Semester 5

Bibliography

P. Jackel, Monte Carlo methods in finance, Wiley (2002).
P. Glasserman, Monte Carlo methods in financial engineering, Springer (2003).