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Practical Applications of Approximate Equations in Finance and Economics
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Practical Applications of Approximate Equations in Finance and Economics

Book Details

Format Hardback or Cased Book
ISBN-10 1567203930
ISBN-13 9781567203936
Publisher Bloomsbury Publishing Plc
Imprint Praeger Publishers Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 30th, 2000
Print length 200 Pages
Weight 482 grams
Ksh 10,800.00
Manufactured on Demand 0 in stock

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Down to earth, readable, and meticulously explained throughout, the book is not only an important tool in practical problem solving situations, but it also provides valuable methods and guidance for upper level students and their instructors. Among the book's important contributions is its chapter on portfolio optimization.
Conventional methods of financial modeling are often overly exact, to the point that their purpose—to aid in financial decision making—is easily lost. Tarrazo's approach, the use of approximation, gives professionals in finance, economics, and portfolio management a sound and sophisticated way to improve their decision making, particularly in such tasks as economic prediction, financial planning, and portfolio management. Tarrazo reviews how to build models, especially those with simultaneous equation systems, then provides a simple way to use approximate equation systems to solve them. Down to earth, readable, and meticulously explained throughout, the book is not only an important tool in practical problem solving situations, but it also provides valuable methods and guidance for upper level students and their instructors. Among the book's important contributions is its chapter on portfolio optimization. Tarrazo helps clarify the theory and application of modern portfolio theory, especially in regard to its implementation with commonly available information management tools (such as EXCEL). He also provides innovative ways to optimize portfolios under realistic conditions and a method to obtain optimal weights in interval form that does not rely on probability; instead, it relies on the mathematical quality of the matrix in the optimization. Another chapter shows that approximate equations are a general-purpose optimization tool, one that subsumes all other known optimization tools such as classical and mathematical programming. Tarrazo closes with an unusually full bibliography, containing more than 200 references spanning several areas of analysis and various disciplines.

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