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Introduction to stochastic calculus applied to finance.

LAMBERTON Damien ; LAPEYRE Bernard

CHAPMAN AND HALL

2008

253

1-58488-626-9

212.53-LAMBE

PROBABILITES ; PROCESSUS STOCHASTIQUE ; DISTRIBUTION STATISTIQUE ; FINANCE DE MARCHE ; MATHEMATIQUES FINANCIERES ; STATISTIQUES FINANCIERES


Nbre d'exemplaires : 2
Cote Code barre Commentaire
1 [non empruntable]
2 [emprunté jusqu'au 25/04/2025]

Commentaire :

Sommaire : Contents

Introduction

1. Discrete-time models
Discrete-time formalism
Martingales and arbitrage opportunities
Complete markets and option pricing
Problem: Cox, Ross and Rubinstein model

2. Optimal stopping problem and american options
Stopping time
The Snell envelope
Decomposition of supermartingales
Snell envelope and Markov chains
Application to American options

3. Brownian motion and stochastic differential equations
General comments on continuous-time processes
Brownian motion
Continuous-time martingales
Stochastic integral and Itô calculus
Stochastic differential equations

4. The black-scholes model
Description of the model
Change of probability: Representation of martingales
Pricing and hedging options in the Black-Scholes model
American options
Implied volatility and local volatility models
The Black-Scholes model with dividends and call/put symmetry
Problems

5. Option pricing and partial differential equations
European option pricing and diffusions
Solving parabolic equations numerically
American options

6. Interest rate models
Modeling principles
Some classical models

7. Asset models with jumps
Poisson process
Dynamics of the risky asset
Martingales in a jump-diffusion model
Pricing options in a jump-diffusion model

8. Credit risk models
Structural models
Intensity-based models
Copulas

9. Simulation and algorithms for financial models
Simulation and financial models
Introduction to variance reduction methods
Computer experiments

Appendix
Normal random variables
Conditional expectation
Separation of convex sets

Bibliography
Index

Langue : Français

Edition : 2ème

Lieu d'édition : LONDON

Localisation : Bibliothèque Campus de Nice

Support : Papier

Etat : Présent

Propriétaire : Bibliothèque