Numerical Methods and Optimization in Finance

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9780123756626: Numerical Methods and Optimization in Finance

This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation problems.  In particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book's website.

  • Shows ways to build and implement tools that help test ideas
  • Focuses on the application of heuristics; standard methods receive limited attention
  • Presents as separate chapters problems from portfolio optimization, estimation of econometric models, and calibration of option pricing models

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About the Author:

VIP Value Investment Professionals, Switzerland

Review:

"This book aims at providing guidance which is practical and useful for practitioners in finance with emphasis on computational techniques which are manageable by modern day desktop personal computers’ processing power when building, testing, comparing and using mathematical and econometric models of finance in the pursuit of analysis of actual financial market data in day to day activities of financial analysts, be they students of courses in finance programs or analysts in financial institutions."--Zentralblatt MATH 2012-1236-91001 "With as much rigor as can be mastered by anyone in the still-developing field of computational finance and a sense of humor, the authors unravel its mysteries. The presentations are clear and the models are practical --- these are the two ingredients that make for a valuable book in this field. The book is both practical in scope and rigorous on its theoretical foundations. It  is a must for anyone who needs to apply quantitative methods for financial planning --- and who doesn’t need to in our days?"--Stavros A. Zenios, University of Cyprus and the Wharton Financial Institutions Center "Numerical Methods and Optimization in Finance is an excellent introduction to computational science. The combination of methodology, software, and examples allows the reader to quickly grasp and apply serious computational ideas."--Kenneth L. Judd, Hoover Institution, Stanford University

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Book Description Elsevier Science Publishing Co Inc, United States, 2011. Hardback. Book Condition: New. 231 x 157 mm. Language: English . Brand New Book. This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation problems. In particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book s website. Bookseller Inventory # AAU9780123756626

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Book Description Elsevier Science Publishing Co Inc, United States, 2011. Hardback. Book Condition: New. 231 x 157 mm. Language: English . Brand New Book. This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation problems. In particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book s website. Bookseller Inventory # AAU9780123756626

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Book Description Elsevier Science Publishing Co Inc. Hardback. Book Condition: new. BRAND NEW, Numerical Methods and Optimization in Finance, Manfred Gilli, Dietmar Maringer, Enrico Schumann, This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation problems. In particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book's website. This title shows ways to build and implement tools that help test ideas; focuses on the application of heuristics; standard methods receive limited attention; and, presents as separate chapters problems from portfolio optimization, estimation of econometric models, and calibration of option pricing models. Bookseller Inventory # B9780123756626

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Book Description Elsevier Science Publishing Co Inc, 2011. Book Condition: New. 2011. 1st Edition. Hardcover. Describes computational finance tools. This title covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. It shows ways to build and implement tools that help test ideas. It focuses on the application of heuristics. Num Pages: 600 pages, illustrations. BIC Classification: KFF; PBU. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 26. Weight in Grams: 1008. . . . . . . Bookseller Inventory # V9780123756626

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Book Description Elsevier Science Publishing Co Inc. Book Condition: New. 2011. 1st Edition. Hardcover. Describes computational finance tools. This title covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. It shows ways to build and implement tools that help test ideas. It focuses on the application of heuristics. Num Pages: 600 pages, illustrations. BIC Classification: KFF; PBU. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 26. Weight in Grams: 1008. . . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780123756626

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