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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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Previews available in: English
Subjects
Mathematics, Nonfiction, Statistical methods, Economics, Finance, Economics, mathematical models, Finance, mathematical models, Matlab (computer program), Economics, statistical methods, Finance, statistical methods, Finance--statistical methods, Economics--statistical methods, Hg176.5 .b73 2006, 332.01/51Edition | Availability |
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Numerical Methods in Finance and Economics: A MATLAB-Based Introduction
2013, Wiley & Sons, Incorporated, John
in English
1118619056 9781118619056
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2
Numerical Methods in Finance and Economics: A MATLAB-Based Introduction
2013, Wiley & Sons, Incorporated, John
in English
1118625579 9781118625576
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3
Numerical Methods in Finance and Economics: A MATLAB-Based Introduction
2006, Wiley & Sons, Incorporated, John
in English
0470080493 9780470080498
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4
Numerical Methods in Finance and Economics
2006, Wiley & Sons Canada, Limited, John
in English
1280721596 9781280721595
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5
Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)
October 6, 2006, Wiley-Interscience, Wiley Interscience
in English
0471745030 9780471745037
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6
Numerical Methods in Finance and Economics
2006, John Wiley & Sons, Ltd.
Electronic resource
in English
0470080485 9780470080481
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