| MAE {StatPerMeCo} | R Documentation | 
Mean Absolute Error
Description
Compute the Mean Absolute Error between the matrices S and H. See, Becker et al.(2015).
Usage
MAE(S, H)
Arguments
| S | Proxy for the conditional covariance/correlation matrix | 
| H | Estimate of the conditional covariance/correlation matrix. | 
Author(s)
Carlos Trucios
References
Becker, R., Clements, A. E., Doolan, M. B., & Hurn, A. S. (2015). Selecting volatility forecasting models for portfolio allocation purposes. International Journal of Forecasting, 31(3), 849-861.
Examples
X = matrix(rnorm(4000),ncol=4)
S = diag(4)
H = cov(X)
MAE(S, H)
[Package StatPerMeCo version 0.1.0 Index]