Loss function defined in Eq. (4.6) of Engle et al. (2016)
Loss function defined in Eq. (4.6) of Engle et al. (2016)
Compute the Elw loss function between the matrices S and H. See, Engle et al. (2016).
Elw (Engle - Ledoit - Wolf) loss function is defined in Equation (4.6) of Engle et al. (2016).
Lelw(S, H)
Arguments
S: Proxy for the conditional covariance/correlation matrix
H: Estimate of the conditional covariance/correlation matrix.
References
Engle, Robert F. and Ledoit, Olivier and Wolf, Michael, Large dynamic covariance matrices (2016). University of Zurich, Department of Economics, Working Paper No. 231. Available at SSRN: https://ssrn.com/abstract=2814555.
Author(s)
Carlos Trucios
Examples
X = matrix(rnorm(4000),ncol=4)S = diag(4)H = cov(X)Lelw(S, H)