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Partial differential equations for finance - WMMFMA26

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  • Number of hours

    • Lectures : 12.0
    • Tutorials : -
    • Laboratory works : 6.0
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 2.0
  • Officials : Olivier ZAHM

Goals

Introduction to the different classes of partial differential equations: elliptic, parabolic and hyperbolic. Their characteristics and what this implies in terms of numerical approximations. Applications to various PDE models involved in mathematical finance. Among those, we will consider the Black-Scholes equation, Hamilton-Jacobi equations, in the framework of dynamic optimal control theory.

Content

1. Introduction: origin of partial differential equations (PDE) in mathematical finance
2. Different types of partial differential equations: parabolic, elliptic, hyperbolic and of mixed type
What are the physical phenomenon associated to, and how do they appear in e.g. Black-Scholes equation (diffusion part, transport part).
3. Partial differential equations, initial and boundary conditions: how to set them?
Notion of characteristic surface for a PDE.
4. Hamilton-Jacobi equations and introduction to dynamic optimal control
5. Some elements of numerical analysis of PDEs: theory and practice

Prerequisites

Mathematical analysis (normed spaces, elementary Fourier analysis), linear algebra, basic numerical methods.

Tests

An exam at the end of the term (E).

    • MCC en présentiel **
      N1 = 1/2 TP encadré + 1/2 examen écrit
      N2 = examen écrit
    • MCC en distanciel **
      N1 = 1/2 TP à distance + 1/2 devoir à la maison
      N2 = devoir à la maison

Calendar

The course exists in the following branches:

  • Curriculum - Financial Engineering - Semester 9
see the course schedule for 2022-2023

Additional Information

Course ID : WMMFMA26
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.

Bibliography

L.C. Evans : Partial differential equations (AMS)
D.P. Bertsekas : Dynamic programming and optimal control (MIT)

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Date of update September 21, 2022

Université Grenoble Alpes