竞争与偏见

Marcin T. Kacperczyk, Harrison G. Hong
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引用次数: 426

摘要

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。
Competition and Bias
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.
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