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Asymptotic Theory of Principal Component Analysis for High-Dimensional Time Series Data under a Factor Structure

Matteo Barigozzi

arXiv 3 Nov 2022 · Econometrics · 3 citations (OpenAlex)

arXiv:2211.01921 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We review Principal Components (PC) estimation of a large approximate factor model for a panel of $n$ stationary time series and we provide new derivations of the asymptotic properties of the estimators, which are derived under a minimal set of assumptions requiring only the existence of 4th order moments. To this end, we also review various alternative sets of primitive sufficient conditions for mean-squared consistency of the sample covariance matrix. Finally, we discuss in detail the issue of identification of the loadings and factors as well as its implications for inference.

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212
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Bai, J. and S. Ng (2020) Simpler proofs for approximate factor models of large dimensions1.00063100%
2Bai, J (2003) Inferential theory for factor models of large dimensions0.97351992%
3Mardia, K., J. Kent, and J. Bibby (1979) Multivariate Analysis0.92843100%
4Fan, J., Y. Liao, and M. Mincheva (2013) Large covariance estimation by thresholding principal orthogonal complements0.8947471%
5Forni, M., D. Giannone, M. Lippi, and L. Reichlin (2009) Opening the black box: Structural factor models versus structural VARs0.8434475%
6Yu, Y., T. Wang, and R. J. Samworth (2015) A useful variant of the Davis-Kahan theorem for statisticians0.81711855%
7Bai, J. and S. Ng (2013) Principal components estimation and identification of static factors0.81142100%
8Chamberlain, G. and M. Rothschild (1983) Arbitrage, factor structure, and mean-variance analysis on large asset markets0.81142100%
9Forni, M., M. Hallin, M. Lippi, and P. Zaffaroni (2017) Dynamic factor models with infinite-dimensional factor space: Asymptotic analysis0.7375340%
10Stock, J. H. and M. W. Watson (2002) Forecasting using principal components from a large number of predictors0.7373367%

Showing the top 10 of 80 scored citations.