Arbeitspapier

A robust criterion for determining the number of static factors in approximate factor models

We propose a refinement of the criterion by Bai and Ng [2002] for determining the number of static factors in factor models with large datasets. It consists in multiplying the penalty function times a constant which tunes the penalizing power of the function itself as in the Hallin and Lika [2007] criterion for the number of dynamic factors. By iteratively evaluating the criterion for different values of this constant, we achieve more robust results than in the case of fixed penalty function. This is shown by means of Monte Carlo simulations on seven data generating processes, including heteroskedastic processes, on samples of different size.

Sprache
Englisch

Erschienen in
Series: LEM Working Paper Series ; No. 2007/19

Klassifikation
Wirtschaft
Model Evaluation, Validation, and Selection
Thema
Approximate factor models
Information criterion
Number of factors
Faktorenanalyse
Panelforschung
Modellierung
Dynamisches Modell
Theorie

Ereignis
Geistige Schöpfung
(wer)
Alessi, Lucia
Barigozzi, Matteo
Capasso, Marco
Ereignis
Veröffentlichung
(wer)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(wo)
Pisa
(wann)
2007

Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Alessi, Lucia
  • Barigozzi, Matteo
  • Capasso, Marco
  • Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)

Entstanden

  • 2007

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