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Book Categories |
Preface | ||
Ch. 1 | Introduction to minimax | 1 |
Background and Notation | 1 | |
Continuous Minimax | 10 | |
Optimality Conditions and Robustness of Minimax | 11 | |
Saddle Points and Saddle Point Conditions | 15 | |
Ch. 2 | A survey of continuous minimax algorithms | 23 |
The Algorithm of Chaney | 25 | |
The Algorithm of Panin | 30 | |
The Algorithm of Kiwiel | 31 | |
Ch. 3 | Algorithms for computing saddle points | 37 |
Computation of Saddle Points | 37 | |
The Algorithms | 42 | |
Global Convergence of Newton-type Algorithms | 50 | |
Achievement of Unit Stepsizes and Superlinear Convergence | 54 | |
Ch. 4 | A quasi-Newton algorithm for continuous minimax | 63 |
Basic Concepts and Definitions | 66 | |
The quasi-Newton Algorithm | 70 | |
Basic Convergence Results | 76 | |
Global Convergence and Local Convergence Rates | 81 | |
Ch. 5 | Numerical experiments with continuous minimax algorithms | 93 |
The Algorithms | 94 | |
Implementation | 96 | |
Test Problems | 98 | |
Summary of the Results | 110 | |
Ch. 6 | Minimax as a robust strategy for discrete rival scenarios | 121 |
Introduction to Rival Models and Forecast Scenarios | 121 | |
The Discrete Minimax Problem | 123 | |
The Robust Character of the Discrete Minimax Strategy | 125 | |
Augmented Lagrangians and Convexification of Discrete Minimax | 132 | |
Ch. 7 | Discrete minimax algorithm for nonlinear equality and inequality constrained models | 139 |
Basic Concepts | 141 | |
The Discrete Minimax Algorithm | 142 | |
Convergence of the Algorithm | 152 | |
Achievement of Unit Stepsizes | 156 | |
Superlinear Convergence Rates of the Algorithm | 162 | |
The Algorithm for Only Linear Constraints | 172 | |
Ch. 8 | A continuous minimax strategy for options hedging | 179 |
Options and the Hedging Problem | 181 | |
The Black and Scholes Option Pricing Model and Delta Hedging | 183 | |
Minimax Hedging Strategy | 187 | |
Simulation | 196 | |
Illustrative Hedging Problem: A Limited Empirical Study | 204 | |
Multiperiod Minimax Hedging Strategies | 207 | |
Simulation Study of the Performance of Different Multiperiod Strategies | 213 | |
CAPM-based Minimax Hedging Strategy | 215 | |
Simulation Study of the Performance of CAPM Minimax | 222 | |
The Beta of the Hedge Portfolio for CAPM Minimax | 226 | |
Hedging Bond Options | 226 | |
Ch. 9 | Minimax and asset allocation problems | 247 |
Models for Asset Allocation Based on Minimax | 249 | |
Minimax Bond Portfolio Selection | 252 | |
Dual Benchmarking | 261 | |
Other Minimax Strategies for Asset Allocation | 271 | |
Multistage Minimax Portfolio Selection | 277 | |
Portfolio Management Using Minimax and Options | 284 | |
Ch. 10 | Asset/liability management under uncertainty | 291 |
The Immunization Framework | 296 | |
Illustration | 300 | |
The Asset/Liability (A/L) Risk in Immunization | 303 | |
The Continuous Minimax Directional Immunization | 308 | |
Other Immunization Strategies | 309 | |
The Stochastic ALM Model 1 | 315 | |
The Stochastic ALM Model 2 | 325 | |
Ch. 11 | Robust currency management | 341 |
Strategic Currency Management 1: Pure Currency Portfolios | 345 | |
Strategic Currency Management 2: Currency Overlay | 351 | |
A Generic Currency Model for Tactical Management | 357 | |
The Minimax Framework | 359 | |
The Interplay between the Strategic Benchmark and Tactical Management | 373 | |
Currency Management Using Minimax and Options | 374 | |
Index | 381 |
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Add Algorithms for Worst-Case Design and Applications to Risk Management, Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guarantee, Algorithms for Worst-Case Design and Applications to Risk Management to the inventory that you are selling on WonderClubX
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Add Algorithms for Worst-Case Design and Applications to Risk Management, Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guarantee, Algorithms for Worst-Case Design and Applications to Risk Management to your collection on WonderClub |