A randomised sequential procedure to determine the number of factors

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Trapani, Lorenzo (2017) A randomised sequential procedure to determine the number of factors. Journal of the American Statistical Association . ISSN 1537-274X

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Abstract

This paper proposes a procedure to estimate the number of common factors k in a static approximate factor model. The building block of the analysis is the fact that the first k eigenvalues of the covariance matrix of the data diverge, whilst the others stay bounded. On the grounds of this, we propose a test for the null that the i-th eigenvalue diverges, using a randomised test statistic based directly on the estimated eigenvalue. The test only requires minimal assumptions on the data, and no assumptions are required on factors, loadings or idiosyncratic errors. The randomised tests are then employed in a sequential procedure to determine k.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/868580
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the American Statistical Association on 26/06/2017, available online: http://www.tandfonline.com/10.1080/01621459.2017.1328359
Keywords: Approximate factor models, Randomised tests, Number of factors
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > School of Economics
Identification Number: 10.1080/01621459.2017.1328359
Depositing User: Eprints, Support
Date Deposited: 03 Oct 2017 13:45
Last Modified: 04 May 2020 18:51
URI: https://eprints.nottingham.ac.uk/id/eprint/46952

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