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New tests of equal forecast accuracy for factor-augmented regressions with weaker loadings

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  • Margaritella, Luca
  • Stauskas, Ovidijus

Abstract

We provide the theoretical foundation for the recent tests of equal forecast accuracy and encompassing by Pitarakis (2023) and Pitarakis (2025), when the competing forecast specification is that of a factor-augmented regression model. This should be of interest to practitioners, as there is no theory justifying the use of these simple and powerful tests in such a context. In pursuit of this, we employ a novel theory to incorporate the empirically well-documented fact of homogeneously/heterogeneously weak factor loadings, and track their effect on the forecast comparison problem.

Suggested Citation

  • Margaritella, Luca & Stauskas, Ovidijus, 2026. "New tests of equal forecast accuracy for factor-augmented regressions with weaker loadings," International Journal of Forecasting, Elsevier, vol. 42(3), pages 776-795.
    • Handle: RePEc:eee:intfor:v:42:y:2026:i:3:p:776-795
    DOI: 10.1016/j.ijforecast.2025.11.005
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