Decomposing anomalies - Archive ouverte HAL Access content directly
Journal Articles Economics Letters Year : 2021

Decomposing anomalies

Abstract

This paper introduces the functional principal component analysis approach for decomposing the panel returns of the anomaly-sorted portfolios. Using the US stock market data covering July 1963–July 2020, our findings indicate that the Fama–French (F–F) market factor can be captured by the first empirical functional principal component in the time-series. For the other F–F anomalies, market capitalization (Size), book-to-market ratio (B/M), profitability (OP), investment (Inv), and price momentum (Mom), the cross-sectional features remain in the monotonicity of the second principal component and in the curvature of the third principal component. Furthermore, a time-varying framework shows two neglected reversals of the F–F anomalies Inv and Size in the 1970s and the 1980s.
Fichier principal
Vignette du fichier
S0165176521001129.pdf (476.21 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03323669 , version 1 (24-04-2023)

Licence

Identifiers

Cite

Sabri Boubaker, Bo Li, Zhenya Liu, Yifan Zhang. Decomposing anomalies. Economics Letters, 2021, 202, pp.109835. ⟨10.1016/j.econlet.2021.109835⟩. ⟨hal-03323669⟩
39 View
16 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More