Estimating the number of common factors in serially dependent approximate factor models

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초록

A simple data-dependent filtering method is proposed before applying the Bai-Ng method to estimate the number of common factors in the conventional approximate factor model. The asymptotic justification is provided and the finite-sample performance is examined. Published by Elsevier B.V.

키워드

Factor modelPrewhiteningLeast squares dummy variable (LSDV) filterFactor number estimationCross-section dependence
제목
Estimating the number of common factors in serially dependent approximate factor models
저자
Greenaway-McGrevy, RyanHan, ChirokSul, Donggyu
DOI
10.1016/j.econlet.2012.03.031
발행일
2012-09
유형
Article
저널명
Economics Letters
116
3
페이지
531 ~ 534