VaRloss {rugarch} | R Documentation |
Value at Risk loss function of Gonzalez-Rivera, Lee, and Mishra (2004)
Description
Returns the VaR loss function described in Gonzalez-Rivera, Lee, and Mishra (2004) which is an appropriate function on which to compare models using such methods as the Model Confidence Set (MCS).
Usage
VaRloss(alpha, actual, VaR)
Arguments
alpha |
The quantile (coverage) used for the VaR. |
actual |
A numeric vector of the actual (realized) values. |
VaR |
The numeric vector of VaR. |
Author(s)
Alexios Ghalanos
References
Gonzalez-Rivera, G., Lee, T. H., and Mishra, S. 2004, Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood. International Journal of Forecasting, 20(4), 629–645.
[Package rugarch version 1.5-1 Index]