Lelw function

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)
  • Maintainer: Carlos Trucios
  • License: GPL (>= 2)
  • Last published: 2017-04-14

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