时空压缩会影响分析师的预测业绩吗?

Kejing Chen, Wenqi Guo, Xiong Xiong
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引用次数: 5

摘要

通过差异中的差异(DID)方法,我们发现,作为外生冲击的中国高铁(HSR)连接可以提高分析师的预测绩效,从而导致更准确的预测,减少分析师之间的分散,刺激更多的预测修正,修正波动性更小,分析师对公司的实地访问证明了这一点。通过一系列鲁棒性检查(如2SLS回归等),结果是鲁棒的。而2011年雷电事故引发的反事实关系也证实了我们之前的假设。此外,当当地经济发展较弱、高铁出行较便利或企业信息环境较弱时,其相关性会更强。此外,高铁的连接也提高了分析师发布股票推荐的信息可用性。总体而言,我们的研究有助于卖方分析师绩效的相关研究,并对研究地理邻近对信息效率的作用具有重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Time-Space Compression Affect Analysts’ Forecast Performance?
Through the difference-in-differences (DID) methodology, we find that the connection of China’s high-speed railway (HSR) as an exogenous shock could improve analysts’ forecast performance, leading to more accurate forecasts, decrease the dispersion between analysts, stimulate more forecast revisions with less revision volatility, evidenced by analyst site visits to firms. The results are robust with a battery of robustness checks such as 2SLS regression and so on. And the counterfactual relations caused by the lightning accident in 2011 also confirm our previous assumption. Furthermore, when the local economic development is weak, the trips by HSR is more convenient, or the information environment of firms are weak, the correlations will be stronger. Moreover, the connection of HSR also improves the information availability of stock recommendations issued by analysts. Overall, our study contributes to the relevant study of sell-side analysts’ performance and has an important impact on studying the role of geographic proximity on information efficiency.
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