Numerical methods in finance and economics: A MATLAB based introduction

By: Brandimarte, Paolo
Publisher: New Delhi Wiley India Pvt. Ltd 2008Edition: 2nd edDescription: xxiv, 669 pISBN: 9780471745037; 2542215252Subject(s): Finance - Statistical methods | Economics - Statistical methodsDDC classification: 332.0151 Summary: 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.
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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.

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