Revisiting Boehmer et al. (2021): Recent Period, Alternative Method, Different Conclusions

David Ardia, Clément Aymard, Tolga Cenesizoglu
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Abstract

We reassess Boehmer et al. (2021, BJZZ)'s seminal work on the predictive power of retail order imbalance (ROI) for future stock returns. First, we replicate their 2010-2015 analysis in the more recent 2016-2021 period. We find that the ROI's predictive power weakens significantly. Specifically, past ROI can no longer predict weekly returns on large-cap stocks, and the long-short strategy based on past ROI is no longer profitable. Second, we analyze the effect of using the alternative quote midpoint (QMP) method to identify and sign retail trades on their main conclusions. While the results based on the QMP method align with BJZZ's findings in 2010-2015, the two methods provide different conclusions in 2016-2021. Our study shows that BJZZ's original findings are sensitive to the sample period and the approach to identify ROIs.
重新审视 Boehmer 等人(2021 年):新时期、新方法、新结论
我们重新评估了 Boehmer 等人(2021 年,BJZZ)关于零售订单失衡(ROI)对未来股票回报预测力的开创性工作。首先,我们将其 2010-2015 年的分析复制到最近的 2016-2021 年。我们发现,投资回报率的预测能力明显减弱。具体来说,过去的投资回报率不再能预测大盘股的周回报率,基于过去投资回报率的多空策略也不再有利可图。其次,我们分析了使用替代报价中点法(QMP)识别和签署散户交易对其主要结论的影响。虽然基于 QMP 方法的结果与 BJZZ 在 2010-2015 年的结论一致,但这两种方法在 2016-2021 年提供了不同的结论。我们的研究表明,BJZZ 的原始结论对样本期和识别投资回报率的方法很敏感。
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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