Forecast comparison of principal component regression and principal covariate regression

@article{Heij2007ForecastCO,
  title={Forecast comparison of principal component regression and principal covariate regression},
  author={Christiaan Heij and Patrick J. F. Groenen and Dick van Dijk},
  journal={Computational Statistics & Data Analysis},
  year={2007},
  volume={51},
  pages={3612-3625}
}
Forecasting with many predictors is of interest, for instance, in macroeconomics and finance. This paper compares two methods for dealing with many predictors, that is, principal component regression (PCR) and principal covariate regression (PCovR). The forecast performance of these methods is compared by simulating data from factor models and from regression models. The simulations show that, in general, PCR performs better for the first type of data and PCovR performs better for the second… CONTINUE READING

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