The Power of Collaboration: How Collaboration Depth Shapes Forecast Performance in Analyst Teams

IF 1.5 4区 经济学 Q2 BUSINESS, FINANCE
Ruixuan Zhang, Yiyun Ge, Shu Lin
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引用次数: 0

Abstract

This paper investigates how collaboration depth influences forecast performance in analyst teams. Based on Chinese A-share market data from 2007 to 2022, we find that teams with deeper collaboration experience produce more accurate and timely forecasts. Cross-sectional analyses indicate that the effect on forecast accuracy becomes more significant when the lead analyst has more firm-specific experience, there is greater gender diversity in the analyst teams, and when the firm has high information opacity. For timeliness, the effect is stronger in teams with high education diversity and in firms with highly volatile revenues, but weaker in teams with more star analysts. Furthermore, the positive effect of collaboration depth on forecast accuracy is more significant in brokerage firms with stronger collaboration cultures. However, deeper collaboration among analyst teams is also associated with increased herding behavior. These findings have practical implications for brokers and analysts.

协作的力量:协作深度如何影响分析师团队的预测绩效
本文研究了合作深度对分析师团队预测绩效的影响。基于2007 - 2022年中国a股市场数据,我们发现协作经验越深的团队做出的预测更准确、更及时。横断面分析表明,当首席分析师具有更多的公司特定经验,分析师团队中存在更大的性别多样性,以及公司具有较高的信息不透明度时,对预测准确性的影响变得更加显著。就时效性而言,在教育程度较高的团队和收入高度不稳定的公司中,这种效应更强,但在拥有更多明星分析师的团队中,这种效应较弱。此外,在合作文化较强的经纪公司中,合作深度对预测准确性的正向影响更为显著。然而,分析师团队之间更深层次的协作也与增加的羊群行为相关。这些发现对经纪人和分析师具有实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
20.00%
发文量
36
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