Digesting Anomalies: An Investment Approach

Clicks: 2
ID: 290547
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #187 of 192 articles by views in review of financial studies

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 192 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
An empirical q-factor model consisting of the market factor, a size factor, an investment factor, and a profitability factor largely summarizes the cross section of average stock returns. A comprehensive examination of nearly 80 anomalies reveals that about one-half of the anomalies are insignificant in the broad cross section. More importantly, with a few exceptions, the q-factor model's performance is at least comparable to, and in many cases better than that of the Fama-French (1993) 3-factor model and the Carhart (1997) 4-factor model in capturing the remaining significant anomalies.
Reference Key
openalex_W3125206904 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kewei Hou, Xue Chen, Lu Zhang
Journal review of financial studies
Year 2014
DOI
10.1093/rfs/hhu068
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.