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1 Introduction
2 Motivation
Part I MEASURES
3 Basic Terms and Notation
4 Historical Value-at-Risk
5 Sensitivities
6 Stress Tests
7 Analytical Value-at-Risk
8 Expected Shortfall
9 Model Choices
10 A Monte Carlo Modi cation
11 Support Measures
Part II OPERATIONS
12 Properties of VaR
13 Properties of ES
14 VaR Noise
15 Backtesting
16 Distribution Test
17 Nine to Five
Part III SETUP
18 Context
19 Scope and Workflow
20 Implementation
PART IV WRAP-UP
21 Conclusion
22 Acknowledgments
APPENDIX.

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