Computational Methods for Quantitative Finance - Finite Element Methods for Derivative Pricing (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Finance
Release date:	March 2015
Authors:	Norbert Hilber • Oleg Reichmann • Christoph Schwab • Christoph Winter
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	299
Edition:	2013 ed.
ISBN-13:	978-3-642-43532-4
Categories:	Books > Business & Economics > Finance & accounting > General Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	3-642-43532-7
Barcode:	9783642435324

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!