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Numerical Methods in Finance

Bordeaux, June 2010

  • Conference proceedings
  • © 2012

Overview

  • First book in this very precise area
  • Pedagogical and self-contained exposition
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Proceedings in Mathematics (PROM, volume 12)

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Table of contents (15 papers)

  1. Particle Methods in Finance

  2. Numerical Methods for Backward Conditional Expectations

  3. Numerical methods for backward conditional expectations

  4. Numerical Methods for Energy Derivatives

  5. Numerical methods for energy derivatives

Keywords

About this book

Numerical methods in finance have emerged as a vital field at the crossroads of probability theory, finance and numerical analysis. Based on presentations given at the workshop Numerical Methods in Finance held at the INRIA Bordeaux (France) on June 1-2, 2010, this book provides an overview of the major new advances in the numerical treatment of instruments with American exercises. Naturally it covers the most recent research on the mathematical theory and the practical applications of optimal stopping problems as they relate to financial applications. By extension, it also provides an original treatment of Monte Carlo methods for the recursive computation of conditional expectations and solutions of BSDEs and generalized multiple optimal stopping problems and their applications to the valuation of energy derivatives and assets. The articles were carefully written in a pedagogical style and a reasonably self-contained manner. The book is geared toward quantitative analysts, probabilists, and applied mathematicians interested in financial applications.

Editors and Affiliations

  • Dept. Operations Research &, Financial Engineering, Princeton University, Princeton, USA

    René A. Carmona

  • Centre INRIA Bordeaux Sud-Ouest, Institut de Mathématiques, Université Bordeaux I, Talence Cedex, France

    Pierre Del Moral, Peng Hu

  • EDF Recherche et Développement, Clamart, France

    Nadia Oudjane

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