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

Hilber, Norbert; Reichmann, Oleg; Schwab, Christoph; Winter, Christoph

ISBN 10: 3642354009 ISBN 13: 9783642354007

Editorial: Springer, 2013

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

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

Editor

Springer

Fecha de publicaci�n

2013

Idioma

Ingl�s

ISBN 10

3642354009

ISBN 13

9783642354007

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

New

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Sinopsis

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 L�vy 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 L�vy, 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.

De la contraportada

<p>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 L�vy 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 L�vy, additive and certain classes of Feller processes. </p><p>The volume 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.?</p>

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