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Andrey Itkin - Pricing Derivatives Under Levy Models - 9781493967902 - V9781493967902
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Pricing Derivatives Under Levy Models

€ 107.14
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Description for Pricing Derivatives Under Levy Models Paperback. Series: Pseudo-Differential Operators. Num Pages: 308 pages, 2 black & white illustrations, 62 colour illustrations, 20 black & white tables, biograph. BIC Classification: KFF; PBKJ; PBWH; UYM. Category: (P) Professional & Vocational. Dimension: 240 x 168. Weight in Grams: 558.

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 Lévy 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 Lévy processes, the modern theory of finite-difference schemes, the theory of M-matrices and EM-matrices, ... Read more


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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Product Details

Format
Paperback
Publication date
2017
Publisher
Springer-Verlag New York Inc. United States
Number of pages
308
Condition
New
Series
Pseudo-Differential Operators
Number of Pages
308
Place of Publication
New York, United States
ISBN
9781493967902
SKU
V9781493967902
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Andrey Itkin
Andrey Itkin is an Adjunct Professor of computational and algorithmic finance at the Tandon School of Enginering at New York University and Director, Senior Quant Research Associate at Bank of America.

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