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Empirical Tests of Asset Pricing Models with Individual Assets: Resolving the Errors-in-Variables Bias in Risk Premium Estimation

Jegadeesh, Narasimhan and Noh, Joonki and Pukthuanthong, Kuntara and Roll, Richard and Wang, Junbo (2019) Empirical Tests of Asset Pricing Models with Individual Assets: Resolving the Errors-in-Variables Bias in Risk Premium Estimation. Journal of Financial Economics, 133 (2). pp. 273-298. ISSN 0304-405X. http://resolver.caltech.edu/CaltechAUTHORS:20190214-123253711

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Abstract

To attenuate an inherent errors-in-variables bias, portfolios are widely employed to test asset pricing models; but portfolios might mask relevant risk- or return-related features of individual stocks. We propose an instrumental variables approach that allows the use of individual stocks as test assets, yet delivers consistent estimates of ex post risk premiums. This estimator also yields well-specified tests in small samples. The market risk premium under the capital asset pricing model (CAPM) and the liquidity-adjusted CAPM, premiums on risk factors under the Fama-French three- and five-factor models, and the Hou, Xue, and Zhang (2015) four-factor model are all insignificant after controlling for asset characteristics.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.jfineco.2019.02.010DOIArticle
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2897821SSRNArticle
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2664332SSRNWorking Paper
Additional Information:© 2019 Elsevier B.V. Received 28 September 2015, Revised 26 April 2018, Accepted 8 May 2018, Available online 14 February 2019. For insightful and constructive comments, we thank the referee, Bill Schwert (the editor), Yakov Amihud, Francisco Barillas, Hank Bessembinder, Michael Brennan, Tarun Chordia, John Cochrane, Wayne Ferson, Chris Jones, Raymond Kan, Cheng-Few Lee, Jay Shanken, Georgios Skoulakis, Avanidhar Subrahmanyam, Guofu Zhou, and seminar participants at Caltech, Case Western Reserve University, Emory University, KAIST, UCLA, University of Melbourne, University of Missouri, University of New South Wales, University of South Florida, University of Technology at Sydney, Yonsei University, York University, Financial Management Association Meetings 2014, Northern Finance Association Meetings 2017, and American Finance Association Meetings 2018.
Subject Keywords:Risk Premium Estimation; Errors-in-Variables Bias; Instrumental Variables; Individual Stocks; Asset Pricing Models
Classification Code:JEL Classifications: G11; G12
Record Number:CaltechAUTHORS:20190214-123253711
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190214-123253711
Official Citation:Narasimhan Jegadeesh, Joonki Noh, Kuntara Pukthuanthong, Richard Roll, Junbo Wang, Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation, Journal of Financial Economics, Volume 133, Issue 2, 2019, Pages 273-298, ISSN 0304-405X, https://doi.org/10.1016/j.jfineco.2019.02.010. (http://www.sciencedirect.com/science/article/pii/S0304405X19300431)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92938
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Feb 2019 05:51
Last Modified:18 Jun 2019 18:14

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