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Practical financial optimization : a library of GAMS models /
In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System. 'GAMS' consists of a language which allows a high-level, algebraic representation of mathematical models a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, U.K. :
Wiley,
2009.
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| Colección: | Wiley finance series.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Consiglio, Andrea. | |
| 245 | 1 | 0 | |a Practical financial optimization : |b a library of GAMS models / |c Andrea Consiglio, Søren S. Nielsen, Stavros A. Zenios. |
| 260 | |a Chichester, U.K. : |b Wiley, |c 2009. | ||
| 300 | |a 1 online resource (xviii, 177 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a The Wiley Finance Series | |
| 504 | |a Includes bibliographical references (page 169) and index. | ||
| 505 | 0 | |a PRACTICAL FINANCIAL OPTIMIZATION; Contents; Preface; Acknowledgments; Notation; List of Models; 1 An Introduction to the GAMS Modeling System; 1.1 Preview; 1.2 Basics of Modeling; 1.3 The GAMS Language; 1.3.1 Lexical conventions; 1.3.2 Sets; 1.3.3 Expressions, functions, and operators; 1.3.4 Assignment statements; 1.3.5 Variable declarations; 1.3.6 Constraints: Equation declarations; 1.3.7 Model declarations; 1.3.8 The SOLVE statement and model types; 1.3.9 Control structures; 1.3.10 Conditional compilation; 1.4 Getting Started; 1.4.1 The Integrated Development Environment | |
| 505 | 8 | |a 1.4.2 Command line interaction1.4.3 The model library; Notes and References; 2 Data Management; 2.1 Preview; 2.2 Basics of Data Handling; 2.2.1 Data entry: SCALARs, PARAMETERs, and TABLEs; 2.2.2 External data files: INCLUDE; 2.2.3 Output: DISPLAY and PUT; 2.3 Data Generation; 2.4 A Complete Example: Portfolio Dedication; 2.4.1 The source file; 2.4.2 The FINLIB files; 3 Mean-Variance Portfolio Optimization; 3.1 Preview; 3.2 Basics of Mean-Variance Models; 3.2.1 Data estimation for the mean-variance model; 3.2.2 Allowing short sales; 3.2.3 The FINLIB files; 3.3 Sharpe Ratio Model | |
| 505 | 8 | |a 3.3.1 Risk-free borrowing3.3.2 The FINLIB files; 3.4 Diversification Limits and Transaction Costs; 3.4.1 Transaction costs; 3.4.2 Portfolio revision; 3.4.3 The FINLIB files; 3.5 International Portfolio Management; 3.5.1 Implementation with dynamic sets; 3.5.2 The FINLIB files; 4 Portfolio Models for Fixed Income; 4.1 Preview; 4.2 Basics of Fixed-Income Modeling; 4.2.1 Modeling time; 4.2.2 GAMS as a financial calculator: continuous time; 4.2.3 Bootstrapping the term structure of interest rates; 4.2.4 Considerations for realistic modeling; 4.2.5 The FINLIB files; 4.3 Dedication Models | |
| 505 | 8 | |a 4.3.1 Horizon return model4.3.2 Tradeability considerations; 4.3.3 The FINLIB files; 4.4 Immunization Models; 4.4.1 The FINLIB files; 4.5 Factor Immunization Model; 4.5.1 Direct yield maximization; 4.5.2 The FINLIB files; 4.6 Factor Immunization for Corporate Bonds; 4.6.1 The model data sets; 4.6.2 The optimization models; 4.6.3 The FINLIB files; 5 Scenario Optimization; 5.1 Preview; 5.2 Data sets; 5.2.1 The FINLIB files; 5.3 Mean Absolute Deviation Models; 5.3.1 Downside risk and tracking models; 5.3.2 Comparing mean-variance and mean absolute deviation; 5.3.3 The FINLIB files | |
| 505 | 8 | |a 5.4 Regret Models5.4.1 The FINLIB files; 5.5 Conditional Value-at-Risk Models; 5.5.1 The FINLIB files; 5.6 Utility Maximization Models; 5.6.1 The FINLIB files; 5.7 Put/Call Efficient Frontier Models; 5.7.1 The FINLIB files; 6 Dynamic Portfolio Optimization with Stochastic Programming; 6.1 Preview; 6.2 Dynamic Optimization for Fixed-Income Securities; 6.2.1 Stochastic dedication; 6.2.2 Stochastic dedication with borrowing and lending; 6.2.3 The FINLIB files; 6.3 Formulating Two-Stage Stochastic Programs; 6.3.1 Deterministic and stochastic two-stage programs; 6.3.2 The FINLIB files | |
| 520 | |a In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System. 'GAMS' consists of a language which allows a high-level, algebraic representation of mathematical models and a set of solvers - numerical algorithms - to solve them. The system was developed in response to the need for powerful and flexible front-end tools to manage large, real-life models. The work begins with an overview of the structure of the GAMS language, and discusses issues relating to the manage. | ||
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Financial engineering. | |
| 650 | 0 | |a Finance |x Mathematical models. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 6 | |a Ingénierie financière. | |
| 650 | 6 | |a Finances |x Modèles mathématiques. | |
| 650 | 6 | |a Optimisation mathématique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Economics |x Theory. |2 bisacsh | |
| 650 | 7 | |a Finance |x Mathematical models |2 fast | |
| 650 | 7 | |a Financial engineering |2 fast | |
| 650 | 7 | |a Mathematical optimization |2 fast | |
| 650 | 7 | |a Optimierung |2 gnd | |
| 650 | 7 | |a GAMS |g Programm |2 gnd | |
| 650 | 7 | |a Financial Engineering |2 gnd | |
| 700 | 1 | |a Nielsen, Søren S. | |
| 700 | 1 | |a Zenios, Stavros Andrea. | |
| 776 | 0 | 8 | |i Print version: |a Consiglio, Andrea. |t Practical financial optimization. |d Chichester, U.K. : Wiley, 2009 |w (DLC) 2009007436 |
| 830 | 0 | |a Wiley finance series. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781444317237/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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