The Economics of Security Analysis
Kewei Hou (),
Haitao Mo (),
Chen Xue () and
Lu Zhang ()
Additional contact information
Kewei Hou: Fisher College of Business, The Ohio State University, Columbus, Ohio 43210; China Academy of Financial Research, Shanghai 200030, P.R.China
Haitao Mo: E.J. Ourso College of Business, Louisiana State University, Baton Rouge, Louisiana 70803
Chen Xue: Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221
Lu Zhang: Fisher College of Business, The Ohio State University, Columbus, Ohio 43210; National Bureau of Economic Research, Cambridge, Massachusetts 02138
Management Science, 2024, vol. 70, issue 1, 164-186
Abstract:
The investment capital asset pricing model, in which expected returns vary cross-sectionally with investment, profitability, and expected growth, provides an equilibrium foundation for Graham and Dodd’s security analysis. The q 5 model is a good start to explaining prominent security analysis strategies, such as Abarbanell and Bushee’s fundamental signals, Frankel and Lee’s intrinsic to market, Greenblatt’s “magic formula,” Asness et al.’s quality minus junk, Bartram and Grinblatt’s agnostic analysis, operating cash flow to market, and Penman and Zhu’s expected-return strategy as well as best performing active discretionary funds, such as Buffett’s Berkshire Hathaway.
Keywords: investment CAPM; cross-sectionally varying expected returns; Graham and Dodd (1934); security analysis; active equity funds; the q 5 model; Buffett’s alpha (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2022.4640 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:70:y:2024:i:1:p:164-186
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().