Author
Listed:
- James W. Kolari
(Texas A&M University, Mays Business School)
- Wei Liu
(Texas A&M University, Mays Business School)
- Jianhua Z. Huang
(The Chinese University of Hong Kong, Shenzhen, School of Artificial Intelligence and School of Data Science)
- Huiling Liao
(Illinois Institute of Technology, Department of Applied Mathematics)
Abstract
This chapter surveys the finance literature on anomalous stock portfolios. These portfolios have long positions in selected stocks and short positions in other stocks. Early examples are the size and value anomaly stock portfolios. To explain these anomalies, Fama and French (1992), Fama and French (1993) famously created a three-factor model comprised of a market factor, a size factor that is long small capitalization stocks and short big capitalization stocks, and a value factor that is long high book-to-market equity ratio stocks and short low book-to-market equity ratio stocks. Many subsequent research papers have been published on a wide variety of other long/short anomaly portfolios over the past three decades. In the last few years, work on anomaly stock portfolios has accelerated with some excellent comprehensive studies of hundreds of such anomalies in top finance journals. To encourage research on anomalies, authors of some of recent studies are making available their stock return data series on the internet for hundreds of anomaly portfolios—for example, Chen and Zimmermann (2022) and Jensen et al. (2023). We have downloaded data from these studies via their online websites. This open source data are publicly available to researchers. In forthcoming chapters of this book, we employ this data to conduct empirical tests on the ability of alternative asset pricing models to explain almost 300 anomaly stock portfolios.
Suggested Citation
James W. Kolari & Wei Liu & Jianhua Z. Huang & Huiling Liao, 2026.
"Anomaly Stock Portfolios,"
Springer Books, in: Asset Pricing Models and Market Efficiency, chapter 0, pages 25-46,
Springer.
Handle:
RePEc:spr:sprchp:978-3-031-92901-4_2
DOI: 10.1007/978-3-031-92901-4_2
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-92901-4_2. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.