Sleep Disruptions and Information Processing in Financial Markets

Author:

Bazley William1ORCID,Cuculiza Carina2ORCID,Pisciotta Kevin1ORCID

Affiliation:

1. School of Business, University of Kansas, Lawrence, Kansas 66045;

2. Spears School of Business, Oklahoma State University, Stillwater, Oklahoma 74078

Abstract

Despite evidence of the importance of sleep for cognitive performance, prior research finds limited effects of sleep disruptions on financial markets. This is puzzling because financial decisions rely on higher-order cognitive processes that are typically affected by sleep. We reconcile this dissonance by examining forecasts of corporate earnings by nonprofessional and professional forecasters. We find that nonprofessional forecasters exhibit a significant decline in their forecast accuracy following spring daylight saving time changes relative to professional forecasters. Using a separate sample of professional equity analysts’ forecasts, we continue to find that the information processing of analysts with less expertise is disproportionately negatively affected following sleep disruptions. Placebo tests provide support for sleep disruptions as the main driver of these effects. Overall, our evidence that information processing by less experienced and skilled market participants is particularly vulnerable to sleep disruptions provides one compelling reason why aggregate financial markets seem to be immune to sleep effects even though individual participants are not. This paper was accepted by Ranjani Krishnan, accounting. Supplemental Material: The internet appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01102 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

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