Implements a GARCH-style CAViaR model with squared terms.
Usage
GARCHloop(beta, y, empirical_quantile)
Arguments
- beta
Parameter vector (length 3): intercept, lagged VaR squared,
lagged return squared coefficients
- y
Vector of returns
- empirical_quantile
Initial empirical quantile estimate
Value
Vector of estimated VaR values