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Pricing derivatives under Levy model...

Itkin, Andrey.

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Pricing derivatives under Levy models = modern finite-difference and pseudo-differential operators approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pricing derivatives under Levy models/ by Andrey Itkin.
Reminder of title:	modern finite-difference and pseudo-differential operators approach /
Author:	Itkin, Andrey.
Published:	New York, NY :Springer New York : : 2017.,
Description:	xx, 308 p. :ill., digital ;24 cm.
[NT 15003449]:	Basics of a finite-difference method -- Modern finite-difference approach -- An M-matrix theory and FD -- Brief Introduction into Levy processes -- Pseudo-parabolic and fractional equations of option pricing -- Pseudo-parabolic equations for various Levy models -- High-order splitting methods for forward PDEs and PIDEs -- Multi-dimensional structural default models and correlated jumps -- LSV models with stochastic interest rates and correlated jumps -- Stochastic skew model -- Glossary -- References -- Index.
Contained By:	Springer eBooks
Subject:	Levy processes. -
Online resource:	http://dx.doi.org/10.1007/978-1-4939-6792-6
ISBN:	9781493967926

Pricing derivatives under Levy models = modern finite-difference and pseudo-differential operators approach /
Itkin, Andrey.

Pricing derivatives under Levy modelsmodern finite-difference and pseudo-differential operators approach /[electronic resource] :by Andrey Itkin. - New York, NY :Springer New York :2017. - xx, 308 p. :ill., digital ;24 cm. - Pseudo-differential operators,v.122297-0355 ;. - Pseudo-differential operators ;v.12..

Basics of a finite-difference method -- Modern finite-difference approach -- An M-matrix theory and FD -- Brief Introduction into Levy processes -- Pseudo-parabolic and fractional equations of option pricing -- Pseudo-parabolic equations for various Levy models -- High-order splitting methods for forward PDEs and PIDEs -- Multi-dimensional structural default models and correlated jumps -- LSV models with stochastic interest rates and correlated jumps -- Stochastic skew model -- Glossary -- References -- Index.

This monograph presents a novel numerical approach to solving partial integro-differential equations arising in asset pricing models with jumps, which greatly exceeds the efficiency of existing approaches. The method, based on pseudo-differential operators and several original contributions to the theory of finite-difference schemes, is new as applied to the Levy processes in finance, and is herein presented for the first time in a single volume. The results within, developed in a series of research papers, are collected and arranged together with the necessary background material from Levy processes, the modern theory of finite-difference schemes, the theory of M-matrices and EM-matrices, etc., thus forming a self-contained work that gives the reader a smooth introduction to the subject. For readers with no knowledge of finance, a short explanation of the main financial terms and notions used in the book is given in the glossary. The latter part of the book demonstrates the efficacy of the method by solving some typical problems encountered in computational finance, including structural default models with jumps, and local stochastic volatility models with stochastic interest rates and jumps. The author also adds extra complexity to the traditional statements of these problems by taking into account jumps in each stochastic component while all jumps are fully correlated, and shows how this setting can be efficiently addressed within the framework of the new method. Written for non-mathematicians, this book will appeal to financial engineers and analysts, econophysicists, and researchers in applied numerical analysis. It can also be used as an advance course on modern finite-difference methods or computational finance.

ISBN: 9781493967926

Standard No.: 10.1007/978-1-4939-6792-6doiSubjects--Topical Terms:

747418
Levy processes.

LC Class. No.: QA274.73

Dewey Class. No.: 519.233

Pricing derivatives under Levy models = modern finite-difference and pseudo-differential operators approach /
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245 1 0 $a Pricing derivatives under Levy models $h [electronic resource] : $b modern finite-difference and pseudo-differential operators approach / $c by Andrey Itkin.
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490 1 $a Pseudo-differential operators, $x 2297-0355 ; $v v.12
505 0 $a Basics of a finite-difference method -- Modern finite-difference approach -- An M-matrix theory and FD -- Brief Introduction into Levy processes -- Pseudo-parabolic and fractional equations of option pricing -- Pseudo-parabolic equations for various Levy models -- High-order splitting methods for forward PDEs and PIDEs -- Multi-dimensional structural default models and correlated jumps -- LSV models with stochastic interest rates and correlated jumps -- Stochastic skew model -- Glossary -- References -- Index.
520 $a This monograph presents a novel numerical approach to solving partial integro-differential equations arising in asset pricing models with jumps, which greatly exceeds the efficiency of existing approaches. The method, based on pseudo-differential operators and several original contributions to the theory of finite-difference schemes, is new as applied to the Levy processes in finance, and is herein presented for the first time in a single volume. The results within, developed in a series of research papers, are collected and arranged together with the necessary background material from Levy processes, the modern theory of finite-difference schemes, the theory of M-matrices and EM-matrices, etc., thus forming a self-contained work that gives the reader a smooth introduction to the subject. For readers with no knowledge of finance, a short explanation of the main financial terms and notions used in the book is given in the glossary. The latter part of the book demonstrates the efficacy of the method by solving some typical problems encountered in computational finance, including structural default models with jumps, and local stochastic volatility models with stochastic interest rates and jumps. The author also adds extra complexity to the traditional statements of these problems by taking into account jumps in each stochastic component while all jumps are fully correlated, and shows how this setting can be efficiently addressed within the framework of the new method. Written for non-mathematicians, this book will appeal to financial engineers and analysts, econophysicists, and researchers in applied numerical analysis. It can also be used as an advance course on modern finite-difference methods or computational finance.
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