{"title":"重新审视 Boehmer 等人(2021 年):新时期、新方法、新结论","authors":"David Ardia, Clément Aymard, Tolga Cenesizoglu","doi":"arxiv-2403.17095","DOIUrl":null,"url":null,"abstract":"We reassess Boehmer et al. (2021, BJZZ)'s seminal work on the predictive\npower of retail order imbalance (ROI) for future stock returns. First, we\nreplicate their 2010-2015 analysis in the more recent 2016-2021 period. We find\nthat the ROI's predictive power weakens significantly. Specifically, past ROI\ncan no longer predict weekly returns on large-cap stocks, and the long-short\nstrategy based on past ROI is no longer profitable. Second, we analyze the\neffect of using the alternative quote midpoint (QMP) method to identify and\nsign retail trades on their main conclusions. While the results based on the\nQMP method align with BJZZ's findings in 2010-2015, the two methods provide\ndifferent conclusions in 2016-2021. Our study shows that BJZZ's original\nfindings are sensitive to the sample period and the approach to identify ROIs.","PeriodicalId":501478,"journal":{"name":"arXiv - QuantFin - Trading and Market Microstructure","volume":"292 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revisiting Boehmer et al. (2021): Recent Period, Alternative Method, Different Conclusions\",\"authors\":\"David Ardia, Clément Aymard, Tolga Cenesizoglu\",\"doi\":\"arxiv-2403.17095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We reassess Boehmer et al. (2021, BJZZ)'s seminal work on the predictive\\npower of retail order imbalance (ROI) for future stock returns. First, we\\nreplicate their 2010-2015 analysis in the more recent 2016-2021 period. We find\\nthat the ROI's predictive power weakens significantly. Specifically, past ROI\\ncan no longer predict weekly returns on large-cap stocks, and the long-short\\nstrategy based on past ROI is no longer profitable. Second, we analyze the\\neffect of using the alternative quote midpoint (QMP) method to identify and\\nsign retail trades on their main conclusions. While the results based on the\\nQMP method align with BJZZ's findings in 2010-2015, the two methods provide\\ndifferent conclusions in 2016-2021. Our study shows that BJZZ's original\\nfindings are sensitive to the sample period and the approach to identify ROIs.\",\"PeriodicalId\":501478,\"journal\":{\"name\":\"arXiv - QuantFin - Trading and Market Microstructure\",\"volume\":\"292 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Trading and Market Microstructure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2403.17095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Trading and Market Microstructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.17095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revisiting Boehmer et al. (2021): Recent Period, Alternative Method, Different Conclusions
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.