PDE and Martingale Methods in Option Pricing

PDE and Martingale Methods in Option Pricing
Author: Andrea Pascucci
Publisher: Springer Science & Business Media
Total Pages: 727
Release: 2011-04-15
Genre: Mathematics
ISBN: 8847017815

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This book offers an introduction to the mathematical, probabilistic and numerical methods used in the modern theory of option pricing. The text is designed for readers with a basic mathematical background. The first part contains a presentation of the arbitrage theory in discrete time. In the second part, the theories of stochastic calculus and parabolic PDEs are developed in detail and the classical arbitrage theory is analyzed in a Markovian setting by means of of PDEs techniques. After the martingale representation theorems and the Girsanov theory have been presented, arbitrage pricing is revisited in the martingale theory optics. General tools from PDE and martingale theories are also used in the analysis of volatility modeling. The book also contains an Introduction to Lévy processes and Malliavin calculus. The last part is devoted to the description of the numerical methods used in option pricing: Monte Carlo, binomial trees, finite differences and Fourier transform.


PDE and Martingale Methods in Option Pricing
Language: en
Pages: 727
Authors: Andrea Pascucci
Categories: Mathematics
Type: BOOK - Published: 2011-04-15 - Publisher: Springer Science & Business Media

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This book offers an introduction to the mathematical, probabilistic and numerical methods used in the modern theory of option pricing. The text is designed for
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New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dime