Description

Book Synopsis

A framework for financial market modeling, the benchmark approach extends beyond standard risk neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. This book presents the necessary mathematical tools, followed by a thorough introduction to financial modeling under the benchmark approach, explaining various quantitative methods for the fair pricing and hedging of derivatives.



Trade Review

From the reviews:

"The book under review introduces quantitative finance using the benchmark approach. … It is quite a nice blend of narrative and mathematics. There are also some bigger examples which contribute nicely to the overall presentation. … Exercises are provided at the end of each chapter. The authors even provide solutions to exercises. … I think it could be quite useful for students, because of the first part of the book, and to practitioners, due to the exposition in the second part of the book." (Ita Cirovic Donev, MathDL, March, 2007)

"This book provides an introduction to quantitative finance. … It aims to stimulate interest in the benchmark approach by describing some of its power and wide applicability. It is intended for quantitative analysts postgraduate students, practioners in finance, economics and insurance. … It is designed for three groups of users. Firstly, it provides useful information to financial analysts and practioners. Secondly, it aims to introduce those with a reasonable basic mathematical background. Thirdly, researchers may find the later parts of the book interesting … ." (Klaus Ehemann, Zentralblatt MATH, Vol. 1104 (6), 2007)

"The book is a rather comprehensive treatment of quantitative finance and distinguishes itself from other analogous treatments by using a novel approach that allows one to generalize various existing results and to some extent also allows one to bridge a certain gap between current and classical approaches. … The comprehensiveness of the book is very valuable for research … ." (Wolfgang J. Runggaldier, Mathematical Reviews, Issue 2008 d)

“A comprehensive introduction to the mathematical foundations of finance. It is thorough and encyclopedic, providing a wide range of definitions and theorems that are useful in the subject. … a valuable text for well-motivated students interested in these topics, whether they are pursuing problems within the classical framework or beyond the assumptions of the basic theory.” (Gunduz Caginalp, SIAM Review, Vol. 52 (2), 2010)



Table of Contents
Preliminaries from Probability Theory.- Statistical Methods.- Modeling via Stochastic Processes.- Diffusion Processes.- Martingales and Stochastic Integrals.- The Itô Formula.- Stochastic Differential Equations.- to Option Pricing.- Various Approaches to Asset Pricing.- Continuous Financial Markets.- Portfolio Optimization.- Modeling Stochastic Volatility.- Minimal Market Model.- Markets with Event Risk.- Numerical Methods.- Solutions for Exercises.

A Benchmark Approach to Quantitative Finance

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A Hardback by Eckhard Platen, David Heath

15 in stock


    View other formats and editions of A Benchmark Approach to Quantitative Finance by Eckhard Platen

    Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
    Publication Date: 15/11/2009
    ISBN13: 9783540262121, 978-3540262121
    ISBN10: 3540262121

    Description

    Book Synopsis

    A framework for financial market modeling, the benchmark approach extends beyond standard risk neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. This book presents the necessary mathematical tools, followed by a thorough introduction to financial modeling under the benchmark approach, explaining various quantitative methods for the fair pricing and hedging of derivatives.



    Trade Review

    From the reviews:

    "The book under review introduces quantitative finance using the benchmark approach. … It is quite a nice blend of narrative and mathematics. There are also some bigger examples which contribute nicely to the overall presentation. … Exercises are provided at the end of each chapter. The authors even provide solutions to exercises. … I think it could be quite useful for students, because of the first part of the book, and to practitioners, due to the exposition in the second part of the book." (Ita Cirovic Donev, MathDL, March, 2007)

    "This book provides an introduction to quantitative finance. … It aims to stimulate interest in the benchmark approach by describing some of its power and wide applicability. It is intended for quantitative analysts postgraduate students, practioners in finance, economics and insurance. … It is designed for three groups of users. Firstly, it provides useful information to financial analysts and practioners. Secondly, it aims to introduce those with a reasonable basic mathematical background. Thirdly, researchers may find the later parts of the book interesting … ." (Klaus Ehemann, Zentralblatt MATH, Vol. 1104 (6), 2007)

    "The book is a rather comprehensive treatment of quantitative finance and distinguishes itself from other analogous treatments by using a novel approach that allows one to generalize various existing results and to some extent also allows one to bridge a certain gap between current and classical approaches. … The comprehensiveness of the book is very valuable for research … ." (Wolfgang J. Runggaldier, Mathematical Reviews, Issue 2008 d)

    “A comprehensive introduction to the mathematical foundations of finance. It is thorough and encyclopedic, providing a wide range of definitions and theorems that are useful in the subject. … a valuable text for well-motivated students interested in these topics, whether they are pursuing problems within the classical framework or beyond the assumptions of the basic theory.” (Gunduz Caginalp, SIAM Review, Vol. 52 (2), 2010)



    Table of Contents
    Preliminaries from Probability Theory.- Statistical Methods.- Modeling via Stochastic Processes.- Diffusion Processes.- Martingales and Stochastic Integrals.- The Itô Formula.- Stochastic Differential Equations.- to Option Pricing.- Various Approaches to Asset Pricing.- Continuous Financial Markets.- Portfolio Optimization.- Modeling Stochastic Volatility.- Minimal Market Model.- Markets with Event Risk.- Numerical Methods.- Solutions for Exercises.

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