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dimanche 12 août 2007

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction

«Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)»Paolo Brandimarte
Wiley-Interscience ISBN: 0471745030 2 edition (October 6, 2006) 696 pages PDF 24 Mb

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 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.


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.Thanks to the original uploader!

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