New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings

Fuente: arXiv
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Main Authors: Margaritella, Luca, Stauskas, Ovidijus
Format: Preprint
Published: 2024
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author Margaritella, Luca
Stauskas, Ovidijus
author_facet Margaritella, Luca
Stauskas, Ovidijus
contents 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 for practitioners, as there is no theory justifying the use of these simple and powerful tests in such 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_20415
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings
Margaritella, Luca
Stauskas, Ovidijus
Econometrics
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 for practitioners, as there is no theory justifying the use of these simple and powerful tests in such 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.
title New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings
topic Econometrics
url https://arxiv.org/abs/2409.20415