Competition and Bias

Marcin T. Kacperczyk, Harrison G. Hong
{"title":"Competition and Bias","authors":"Marcin T. Kacperczyk, Harrison G. Hong","doi":"10.2139/ssrn.1101626","DOIUrl":null,"url":null,"abstract":"We attempt to measure the effect of competition on bias in the context of analyst earnings forecasts, which are known to be excessively optimistic because of conflicts of interest. Our natural experiment for competition is mergers of brokerage houses, which result in the firing of analysts because of redundancy (e.g., one of the two oil stock analysts is let go) and other reasons such as culture clash. We use this decrease in analyst coverage for stocks covered by both merging houses before the merger (the treatment sample) to measure the causal effect of competition on bias. We find that the treatment sample simultaneously experiences a decrease in analyst coverage and an increase in optimism bias the year after the merger relative to a control group of stocks, consistent with competition reducing bias. The implied economic effect from our natural experiment is significantly larger than estimates from OLS regressions that do not correct for the endogeneity of coverage. This effect is much more significant for stocks with little initial analyst coverage or competition.","PeriodicalId":176411,"journal":{"name":"FA1: Fund Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"426","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"FA1: Fund Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1101626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 426

Abstract

We attempt to measure the effect of competition on bias in the context of analyst earnings forecasts, which are known to be excessively optimistic because of conflicts of interest. Our natural experiment for competition is mergers of brokerage houses, which result in the firing of analysts because of redundancy (e.g., one of the two oil stock analysts is let go) and other reasons such as culture clash. We use this decrease in analyst coverage for stocks covered by both merging houses before the merger (the treatment sample) to measure the causal effect of competition on bias. We find that the treatment sample simultaneously experiences a decrease in analyst coverage and an increase in optimism bias the year after the merger relative to a control group of stocks, consistent with competition reducing bias. The implied economic effect from our natural experiment is significantly larger than estimates from OLS regressions that do not correct for the endogeneity of coverage. This effect is much more significant for stocks with little initial analyst coverage or competition.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
竞争与偏见
我们试图在分析师收益预测的背景下衡量竞争对偏见的影响,由于利益冲突,这些预测被认为过于乐观。我们对竞争的自然实验是经纪公司的合并,这导致分析师因冗余(例如,两位石油股票分析师中的一位被解雇)和文化冲突等其他原因而被解雇。我们使用合并前两家合并公司所涵盖股票的分析师覆盖率下降(处理样本)来衡量竞争对偏见的因果影响。我们发现,相对于对照组股票,处理样本在合并后的一年同时经历了分析师覆盖率的减少和乐观偏见的增加,这与竞争减少偏见一致。我们自然实验的隐含经济效应明显大于OLS回归的估计,OLS回归没有校正覆盖的内生性。这种影响对于最初分析师关注较少或竞争较少的股票更为显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Competition and Bias Capital Gains Taxes, Agency Costs, and Closed-End Fund Discounts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1