Combining forecast with the use of the bias from the models

This paper will take an extensive look at the conditionally optimal weights with shrinkage (COWS) and the bias corrected optimal weights with shrinkage (BC-OWS) introduced by Gibbs and Vasnev (2018). This paper will select a new way to calculate the variables for the weights and it will compare the weights with the use of the US inflation and the Mexican inflation which has gone trough hyperinflation to proof that these weights will not outperform the simple equal weights when there is hyperinflation.