Predicting Stock Returns Using Industry-Relative Firm Characteristics
By Clifford S. Asness, R. Porter, Ross L. Stevens. 2000
146 citations recorded by the source corpus.
Subfields: Accounting, Finance
View Paper: https://www.semanticscholar.org/paper/d3502d1f410ed0efc6e220a9ec829f25cb38d1f9
How researchers see this paper
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In Accounting
- Robert Novy-Marx
- Philipp Krueger
- Juhani T. Linnainmaa
- Kewei Hou
- Lu Zhang
- Chen Xue
- Eugene F. Fama
- Kenneth R. French
In Finance
- Robert Novy-Marx
- Philipp Krueger
- Juhani T. Linnainmaa
- Kewei Hou
- Lu Zhang
- Chen Xue
- Eugene F. Fama
- Kenneth R. French
Citations in the corpus
- ... and the Cross-Section of Expected Returns (2013, unknown): “This approach has been followed in several recent papers, for example, Asness et al. (2013) and Koijen et al. (2012).”
- Labor Hiring, Investment, and Stock Return Predictability in the Cross Section (2014, unknown): “5 Asness, Porter, and Stevens ð2000Þ use firm-level changes in employees as an empirical proxy variable for distress in the cross section. labor hiring, investment 135 and market equity.”
- Value and Momentum Everywhere: Value and Momentum Everywhere (2013, unknown): “…While research has shown that other value measures are more powerful for predicting stock returns (e.g., Lakonishok, Shleifer, and Vishny (1994), Asness, Porter, and Stevens (2000), Piotroski (2000)), we maintain a basic and simple approach that is somewhat consistent across asset classes.”
- The other side of value: The gross profitability premium. (2013, methodology): “dependent variable HMLjGP PMUjBM HML PMU independent variables (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) intercept 0.”