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Algorithms for Worst-Case Design and Applications to Risk Management Book

Algorithms for Worst-Case Design and Applications to Risk Management
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 has a rating of 4.5 stars
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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
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  • Algorithms for Worst-Case Design and Applications to Risk Management
  • Written by author Berc Rustem
  • Published by Princeton University Press, August 2002
  • 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
  • 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
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Preface
Ch. 1Introduction to minimax1
Background and Notation1
Continuous Minimax10
Optimality Conditions and Robustness of Minimax11
Saddle Points and Saddle Point Conditions15
Ch. 2A survey of continuous minimax algorithms23
The Algorithm of Chaney25
The Algorithm of Panin30
The Algorithm of Kiwiel31
Ch. 3Algorithms for computing saddle points37
Computation of Saddle Points37
The Algorithms42
Global Convergence of Newton-type Algorithms50
Achievement of Unit Stepsizes and Superlinear Convergence54
Ch. 4A quasi-Newton algorithm for continuous minimax63
Basic Concepts and Definitions66
The quasi-Newton Algorithm70
Basic Convergence Results76
Global Convergence and Local Convergence Rates81
Ch. 5Numerical experiments with continuous minimax algorithms93
The Algorithms94
Implementation96
Test Problems98
Summary of the Results110
Ch. 6Minimax as a robust strategy for discrete rival scenarios121
Introduction to Rival Models and Forecast Scenarios121
The Discrete Minimax Problem123
The Robust Character of the Discrete Minimax Strategy125
Augmented Lagrangians and Convexification of Discrete Minimax132
Ch. 7Discrete minimax algorithm for nonlinear equality and inequality constrained models139
Basic Concepts141
The Discrete Minimax Algorithm142
Convergence of the Algorithm152
Achievement of Unit Stepsizes156
Superlinear Convergence Rates of the Algorithm162
The Algorithm for Only Linear Constraints172
Ch. 8A continuous minimax strategy for options hedging179
Options and the Hedging Problem181
The Black and Scholes Option Pricing Model and Delta Hedging183
Minimax Hedging Strategy187
Simulation196
Illustrative Hedging Problem: A Limited Empirical Study204
Multiperiod Minimax Hedging Strategies207
Simulation Study of the Performance of Different Multiperiod Strategies213
CAPM-based Minimax Hedging Strategy215
Simulation Study of the Performance of CAPM Minimax222
The Beta of the Hedge Portfolio for CAPM Minimax226
Hedging Bond Options226
Ch. 9Minimax and asset allocation problems247
Models for Asset Allocation Based on Minimax249
Minimax Bond Portfolio Selection252
Dual Benchmarking261
Other Minimax Strategies for Asset Allocation271
Multistage Minimax Portfolio Selection277
Portfolio Management Using Minimax and Options284
Ch. 10Asset/liability management under uncertainty291
The Immunization Framework296
Illustration300
The Asset/Liability (A/L) Risk in Immunization303
The Continuous Minimax Directional Immunization308
Other Immunization Strategies309
The Stochastic ALM Model 1315
The Stochastic ALM Model 2325
Ch. 11Robust currency management341
Strategic Currency Management 1: Pure Currency Portfolios345
Strategic Currency Management 2: Currency Overlay351
A Generic Currency Model for Tactical Management357
The Minimax Framework359
The Interplay between the Strategic Benchmark and Tactical Management373
Currency Management Using Minimax and Options374
Index381


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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

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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

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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

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