Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing (Springer Finance)

by Norbert Hilber, Oleg Reichmann, Christoph Schwab, and Christoph Winter

0 ratings • 0 reviews • 0 shelved
Book cover for Computational Methods for Quantitative Finance

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of stochastic market models with jumps, including, in particular, all currently used Levy and stochastic volatility models. It allows us e.g. to quantify model risk in computed prices on plain vanilla, as well as on various types of exotic contracts. The algorithms are developed in classical Black-Scholes markets, and then extended to market models based on multiscale stochastic volatility, to Levy, additive and certain classes of Feller processes.

This book is intended for graduate students and researchers, as well as for practitioners in the fields of quantitative finance and applied and computational mathematics with a solid background in mathematics, statistics or economics.

  • ISBN13 9783642435324
  • Publish Date 7 March 2015 (first published 1 January 2013)
  • Publish Status Active
  • Publish Country DE
  • Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Edition 2013 ed.
  • Format Paperback
  • Pages 299
  • Language English