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Sinopsis
This is a thorough treatment of optimization techniques that solve central challenges in finance. It gives a complete picture of model formulation, gathering relevant data, and computational implementation for each problem discussed. Theory and practical applications are woven together and enriched with worked examples, exercises, and case studies.
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Críticas
Review of first edition: 'This book will be useful as a textbook for students in financial engineering at the MS level. ... The book will also be of interest to researchers and graduate students in optimization who are interested in applications of optimization to financial problems.' Brian Borchers, Journal of Online Mathematics and its Applications
Review of first edition: 'This book would certainly appeal to someone with a mathematical background, perhaps in operations research, wishing to update and apply their knowledge to the financial world.' Mathematics TODAY
Review of first edition: 'Until now, there has been no comprehensive optimization book aimed at quantitative analysts in the financial industry. The book by Cornuejols and Tutuncu fills this void ... an excellent source for quantitative financial analysts and graduate students to learn about basic optimization theory, computational methods, and available software. At the same time, it can be used by academic researchers and students in optimization as an introduction to various interesting problems in financial applications.' International Review of Economics & Finance
Reseña del editor
Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical mean–variance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of mean–variance optimization, multi-period models, and additional material to highlight the relevance to finance.
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- EditorialCambridge University Press
- Año de publicación2018
- ISBN 10 1107056748
- ISBN 13 9781107056749
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición2
- Número de páginas350
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Optimization Methods in Finance (Mathematics, Finance and Risk)
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Cambridge University Pr., 2018
ISBN 10: 1107056748
ISBN 13: 9781107056749
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Gebunden. Condición: Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical mean-variance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of mean-variance optimization, multi-period models, and additional material to highlight the relevance to finance. 350 pp. Englisch. Nº de ref. del artículo: INF1001423398
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Optimization Methods in Finance
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Optimization Methods in Finance (Mathematics, Finance and Risk)
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Optimization Methods in Finance
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Hardcover. Condición: new. Hardcover. Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical meanvariance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of meanvariance optimization, multi-period models, and additional material to highlight the relevance to finance. This is a thorough treatment of optimization techniques that solve central challenges in finance. It gives a complete picture of model formulation, gathering relevant data, and computational implementation for each problem discussed. Theory and practical applications are woven together and enriched with worked examples, exercises, and case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781107056749
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