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A criterion for the number of factors

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Authors

den Reijer, Ard H. J.
Jacobs, Jan P. A. M.
Otter, Pieter W.

Journal Title

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Volume Title

Publisher

Taylor & Francis Group

Abstract

This note proposes a new criterion for the determination of the number of factors in an approximate static factor model. The criterion is strongly associated with the scree test and compares the differences between consecutive eigenvalues to a threshold. The size of the threshold is derived from a hyperbola and depends only on the sample size and the number of factors k. Monte Carlo simulations compare its properties with well-established estimators from the literature. Our criterion shows similar results as the standard implementations of these estimators, but is not prone to a lack of robustness against a too large a priori determined maximum number of factors kmax.

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Citation

Ard H. J. den Reijer, Jan P. A. M. Jacobs & Pieter W. Otter (2020): A criterion for the number of factors, Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2020.1713376

Source

Communications in Statistics: Theory and Methods

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Access Statement

Open Access

License Rights

Commons Attribution-NonCommercial-NoDerivatives License

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