#Twitter: Examining the Impact of Earnings Format Choice and Rehashing Prior Positive Information on Market Prices

Author:

Pitre Terence J.1,Pinsker Robert2ORCID,Daigle Ronald J.3,Zhang YiboORCID

Affiliation:

1. California State University, Stanislaus

2. Florida Atlantic University

3. Sam Houston State University

Abstract

ABSTRACT Using Twitter to disseminate information has two advantages: flexibility in presentation formats and the ability to redisclose a prior period’s information—referred to as “rehashing.” Our research examines the effect of these issues on market investors’ trading. Our experimental market results suggest that nonprofessional investors presented with whole-number quarterly earnings exhibit insensitivity to the large numbers (i.e., psychophysical numbing). Further, we find evidence suggesting that investors in the whole-number condition net the rehashed quarterly earnings information with current quarterly earnings information to counteract the psychophysical numbing effects, whereas those in the earnings per share (small-number) condition display a representativeness bias toward positive news when processing the rehashed information. Our results indicate that a firm can influence investor decisions when managers strategically disseminate larger whole numbers and rehash positive earnings information. Thus, our findings contribute novel information to the extant social media literature.

Publisher

American Accounting Association

Subject

Management of Technology and Innovation,Information Systems and Management,Human-Computer Interaction,Accounting,Information Systems,Software,Management Information Systems

Reference73 articles.

1. The role of social media in corporate governance;Ang;The Accounting Review,2021

2. Thirty years of prospect theory in economics: A review and assessment;Barberis;Journal of Economic Perspectives,2013

3. Can Twitter help predict firm-level earnings and stock returns?;Bartov;The Accounting Review,2018

4. Bad is stronger than good;Baumeister;Review of General Psychology,2001

5. Myopic loss aversion and the equity premium puzzle;Benartzi;Quarterly Journal of Economics,1995

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