金融分析师的预测在重组后的FD期间显著改善

Pengguo Wang
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引用次数: 0

摘要

减少公司披露中的私人信息并不一定会降低分析师预测的准确性。本文采用基于模型的盈利预测作为不受私有信息披露影响的基准,并根据该基准评估分析师盈利预测的相对表现。研究发现,I/B/E/S共识预测总体上优于reg FD后时期的基准预测,而在reg FD前时期则低于基准预测。看来Reg FD是一个分水岭。差异中的差异分析证实,在Reg FD通过后,分析师对收益的共识预测的准确性显着提高。
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Financial Analysts’ Forecasts Have Improved Significantly in the Post-Reg FD Period
Reducing the amount of private information in corporate disclosures does not necessarily reduce the accuracy of analysts’ forecasts. This paper applies model-based earnings forecasts as a benchmark that is immune from disclosure of private information and evaluates the relative performance of analysts’ forecasts of earnings against the benchmark. It finds that the I/B/E/S consensus forecasts in general outperform the benchmark forecasts in the post-Reg FD period, while they underperform the benchmark in the pre-Reg FD period. It seems that Reg FD is a watershed. The difference-in-difference analysis confirms that the accuracy of analysts’ consensus forecasts of earnings has improved significantly following the passage of Reg FD.
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