Volatility Loss Functions and VaR Conditional, Indepedence and Regulatory BackTests

Volatility Loss Functions and VaR Conditional, Indepedence and Regulatory BackTests
1.4K Downloads
Updated 23 Oct 2011

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This toolbox estimates the following volatility loss functions:
1. Mean Square Error, MSE
2. Mean Absolute Deviation, MAD
3. Mean Logarithm of Absolute Errors, MLAE
4. Heteroskedasticity-adjusted Mean Square Error, HMSE
5. Heteroskedasticity-adjusted Mean Absolute Error, HMAE
6. Median Absolute Error, MAE
7. Median Absolute Percentage Error, MAPE
8. R2LOG
9. QLIKE
10. Success Ratio, SR

and the following VaR back-testing tests:
1. Percentage of Failures (PF%)
2. Time Until First Failure, TUFF
3. Likelihood Ratio of Time Until First Failure, LRTUFF
4. Likelihood Ratio Unconditional Coverage, LRUC
5. Likelihood Ratio Independence Coverage, LRIND
6. Likelihood Ratio Conditional Coverage LRCC
7. Basel II Accord, BASEL

For further information regarding the full functionality please refet to the ARMAX-GARCH Toolbox in the readme files.

Please feel free to contact me with comments, suggestions, or bugfixes.

Cite As

Alexandros Gabrielsen (2024). Volatility Loss Functions and VaR Conditional, Indepedence and Regulatory BackTests (https://www.mathworks.com/matlabcentral/fileexchange/33414-volatility-loss-functions-and-var-conditional-indepedence-and-regulatory-backtests), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0