Computational Methods for Option Pricing 978089871629

This book is a must for becoming better acquainted with the modern tools of numerical analysis for several significant computational problems arising in finance. Important aspects of finance modeling are reviewed, involving partial differential equations and numerical algorithms for the fast and accurate pricing of financial derivatives and the calibration of parameters. The best numerical algorithms are fully explored and discussed, from their mathematical analysis up to their implementation in C++ with efficient numerical libraries. This is one of the few books that thoroughly covers the following topics: mathematical results and efficient algorithms for pricing American options; modern algorithms with adaptive mesh refinement for European and American options; regularity and error estimates are derived and give strong support to the mesh adaptivity, an essential tool for speeding up the numerical implementations; calibration of volatility with European and American options; the use of automatic differentiation of computer codes for computing greeks.

Preface; 1. Option pricing; 2. Black-Scholes equation; mathematical analysis; 3. Finite differences; 4. The finite element method; 5. Adaptive mesh refinement; 6. American options; 7. Sensitivities and calibration; 8. Calibration of local volatility with European options; 9. Calibration of local volatility with American options; Bibliography; Index.

This book is for anyone who wishes to become better acquainted with the modern tools of numerical analysis in finance. Some important aspects of finance modeling are reviewed, involving partial differential equations and numerical algorithms for the fast and accurate pricing of financial derivatives and for the calibration of parameters.