Friday 27 June 2008

Numerical Methods in Finance and Economics Reviews

Numerical Methods in Finance and Economics



Author: Paolo Brandimarte
Edition: 2
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN: 0471745030
Price:
You Save: 64%




Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)



A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance

The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance.Numerical Methods in Finance and Economics review. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications.

The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.

Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricingRead full reviews of numerical methods in finance and economics: a matlab-based introduction paolo br.

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Numerical Methods in Finance and Economics: A MATLAB-Based Introduction
A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATL

numerical methods in finance and economics: a matlab-based introduction paolo br
author paolo brandimarte format hardback language english publication year 31 10 2006 series statistics in practice subject management business economics industry subject 2 finance accounting title numerical methods in finance and economics a matlab based introduction author paolo brandimarte publisher wiley interscience publication date oct 30 2006 pages 669 binding hardcover edition 2 nd dimensions 6 50 wx 9 50 hx 1 75 d isbn 0471745030 subject mathematics probability statistics general desc

Numerical Methods In Finance And Economics: A Matlab-ba
Store Search search Title, ISBN and Author Numerical Methods in Finance and Economics: A MATLAB-Based Introduction by Paolo Brandimarte Estimated delivery 3-12 business days Format Hardcover Condition Brand New A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this

Numerical Methods In Finance And Economics: A Matlab-Based ... Ebook
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Numerical Methods in Finance and Economics by Paolo Brandimarte
Numerical Methods in Finance and Economics : Hardback : John Wiley and Sons Ltd : 9780471745037 : 0471745030 : 01 Nov 2006 : A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance.



Numerical Methods in Finance and Economics Reviews


Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications.

The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.

Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms.

Newly featured in the Second Edition:
* In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies
* New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12
* New chapter on binomial and trinomial lattices
* Additional treatment of partial differential equations with two space dimensions
* Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance
* New coverage of advanced optimization methods and applications later in the text


Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

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