内容简介

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.

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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豆瓣评论

  • Welfare
    mac e. Chps 3,4,6;10. but mainly focuses on finance hence more stochastic, rather than econ. 06-23
  • sisi
    数理金融的教科书。被matlab折磨的死去活来,其实也没太看懂的书。02-13
  • 豆友28649550
    这教材质量真不行,作者故弄玄虚,特别简单的东西非要搞得神神秘秘的。多一星是代码写的不错。10-16
  • Karma
    how to be a quant01-21
  • 独角兽少女
    没有全部读完,但是作为一个木有任何计算机语言基础的无知娃娃来说,这本书讲解的很清晰,完全可以理解!05-29

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