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Numerical Methods in Finance: A MATLAB-Based Introduction, by Paolo Brandimarte
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Balanced coverage of the methodology and theory of numerical methods in finance
Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.
Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided.
The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students-yet still a useful reference for practitioners-Numerical Methods in Finance offers an expert introduction to powerful tools in finance.
- Sales Rank: #3426604 in Books
- Published on: 2001-10-12
- Original language: English
- Number of items: 1
- Dimensions: 9.39" h x .97" w x 6.42" l, .0 pounds
- Binding: Hardcover
- 416 pages
Review
"...aims at an intermediate niche between cookbook applications of spreadsheets and higher-level math applied to fiance." (Reference & Research Book News, February 2002)
"...intermediate-level textbook..." (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002)
From the Back Cover
Balanced coverage of the methodology and theory of numerical methods in finance
Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.
Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided.
The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students–yet still a useful reference for practitioners–Numerical Methods in Finance offers an expert introduction to powerful tools in finance.
About the Author
PAOLO BRANDIMARTE is Professor of Quantitative Methods for Finance and Logistics at Politecnico di Torino in Italy.
Most helpful customer reviews
36 of 41 people found the following review helpful.
Too much introductive
By Nicolas Roth
Since there is few books on financial application of Matlab, I would say that Mr. Brandimarte has done a good pretty good job. I liked especially the fact that the book covers many topics (bond pricing, derivatives, optimization), however, even if the title says "an introduction", it is still too much introductive and you don't get a grip on the amazing capabilities of Matlab. This book is suitable for people discovering Matlab and Finance at the same time.
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