Why does operating profitability predict returns? New evidence on risk versus mispricing explanations

Author:

Ahmed Anwer1,Neel Michael2ORCID,Safdar Irfan3ORCID

Affiliation:

1. Mays Business School Texas A & M University College Station TX USA

2. Ryan College of Business University of North Texas Denton TX USA

3. School of Business Administration Widener University Chester PA USA

Abstract

AbstractThis study develops new evidence on risk versus mispricing explanations of the well‐known profitability premium. First, we examine whether exposure to expected downside risk is a plausible explanation. We find that high profitability is associated with both lower ex ante and ex post probabilities of future price crashes. Thus, less profitable firms exhibit greater downside risk than highly profitable firms, making a downside risk explanation implausible. Although this fact is overlooked by the market in general, it is anticipated by options traders; we find that put options of low profitability firms are relatively more expensive. Simultaneously, these firms do not exhibit greater probability of jumps, indicating that volatility(risk)‐based explanations for the profitability premium are unlikely to be descriptive. Second, we find that the sticky‐expectations model of Bouchaud et al. (2019, The Journal of Finance, 74, 639–674) only partially explains the profitability premium. While on average, analysts' forecast revisions correct in the same direction as recent profitability, the profitability premium still exhibits a strong relationship to the non‐sticky component of analysts' forecast revisions. Third, institutional investors trade profitability‐based signals but do so with a delay, likely contributing to the premium. Overall, our evidence favours the explanation that the profitability premium is related to investor mispricing of potential downside risk and provides greater clarity on recent findings in the literature.

Publisher

Wiley

Subject

Economics, Econometrics and Finance (miscellaneous),Finance,Accounting

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3