Book contents
- Validation of Risk Management Models for Financial Institutions
- Validation of Risk Management Models for Financial Institutions
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Foreword
- Acknowledgments
- 1 Common Elements in Validation of Risk Models Used in Financial Institutions
- 2 Validating Bank Holding Companies’ Value-at-Risk Models for Market Risk
- 3 A Conditional Testing Approach for Value-at-Risk Model Performance Evaluation
- 4 Beyond Exceedance-Based Backtesting of Value-at-Risk Models: Methods for Backtesting the Entire Forecasting Distribution Using Probability Integral Transform
- 5 Evaluation of Value-at-Risk Models: An Empirical Likelihood Approach
- 6 Evaluating Banks’ Value-at-Risk Models during the COVID-19 Crisis
- 7 Performance Monitoring for Supervisory Stress-Testing Models
- 8 Counterparty Credit Risk
- 9 Validation of Retail Credit Risk Models
- 10 Issues in the Validation of Wholesale Credit Risk Models
- 11 Case Studies in Wholesale Risk Model Validation
- 12 Validation of Models Used by Banks to Estimate Their Allowance for Loan and Lease Losses
- 13 Operational Risk
- 14 Statistical Decisioning Tools for Model Risk Management
- 15 Validation of Risk Aggregation in Economic Capital Models
- 16 Model Validation of Interest Rate Risk (Banking Book) Models
- 17 Validation of Risk Management Models in Investment Management
- Index
- References
5 - Evaluation of Value-at-Risk Models: An Empirical Likelihood Approach
Published online by Cambridge University Press: 02 March 2023
Book contents
- Validation of Risk Management Models for Financial Institutions
- Validation of Risk Management Models for Financial Institutions
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Foreword
- Acknowledgments
- 1 Common Elements in Validation of Risk Models Used in Financial Institutions
- 2 Validating Bank Holding Companies’ Value-at-Risk Models for Market Risk
- 3 A Conditional Testing Approach for Value-at-Risk Model Performance Evaluation
- 4 Beyond Exceedance-Based Backtesting of Value-at-Risk Models: Methods for Backtesting the Entire Forecasting Distribution Using Probability Integral Transform
- 5 Evaluation of Value-at-Risk Models: An Empirical Likelihood Approach
- 6 Evaluating Banks’ Value-at-Risk Models during the COVID-19 Crisis
- 7 Performance Monitoring for Supervisory Stress-Testing Models
- 8 Counterparty Credit Risk
- 9 Validation of Retail Credit Risk Models
- 10 Issues in the Validation of Wholesale Credit Risk Models
- 11 Case Studies in Wholesale Risk Model Validation
- 12 Validation of Models Used by Banks to Estimate Their Allowance for Loan and Lease Losses
- 13 Operational Risk
- 14 Statistical Decisioning Tools for Model Risk Management
- 15 Validation of Risk Aggregation in Economic Capital Models
- 16 Model Validation of Interest Rate Risk (Banking Book) Models
- 17 Validation of Risk Management Models in Investment Management
- Index
- References
Summary
This chapter provides an alternative to exceedance or density-based evaluation of VaR models. This alternative is based on empirical likelihood. We also outline a method to infer the risk exposure, by assessing whether some measure of interval forecast error (e.g., distance between the empirical distribution of the PITs and the posited uniform distribution) is related to some measure of risk exposure, such as the volatility of given risk factors.
Keywords
- Type
- Chapter
- Information
- Validation of Risk Management Models for Financial InstitutionsTheory and Practice, pp. 84 - 103Publisher: Cambridge University PressPrint publication year: 2023
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