{"title":"解释交易量和股票收益之间的因果关系:是什么驱动了它的跨分位数模式?","authors":"Bartosz Gebka","doi":"10.1016/j.econmod.2025.107077","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of trading volume on future stock returns, addressing the gap in the literature as to why such causality has previously been found to be of varying signs and magnitudes. Using data from the US covering the period 10/1973-12/2018, we employ quantile regressions to empirically examine if the volume-return causality is driven by informed trading, investors’ liquidity needs, sentiment, or uncertainty. Our analysis reveals that sentiment and the prevalence of informed trading, especially on good news, significantly explain the observed cross-quantile volume-return causality pattern. These findings offer new insights into how stock trading, driven by irrational sentiment and following informed investors, causes temporary imbalances and future price reversals, highlighting the importance of investor irrationality, insider trading, but also illiquidity and imperfect arbitrage, for asset price behaviour. Our results provide implications for risk management, return and volatility forecasting, and regulation of insider trading and information provision.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"148 ","pages":"Article 107077"},"PeriodicalIF":4.2000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?\",\"authors\":\"Bartosz Gebka\",\"doi\":\"10.1016/j.econmod.2025.107077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the impact of trading volume on future stock returns, addressing the gap in the literature as to why such causality has previously been found to be of varying signs and magnitudes. Using data from the US covering the period 10/1973-12/2018, we employ quantile regressions to empirically examine if the volume-return causality is driven by informed trading, investors’ liquidity needs, sentiment, or uncertainty. Our analysis reveals that sentiment and the prevalence of informed trading, especially on good news, significantly explain the observed cross-quantile volume-return causality pattern. These findings offer new insights into how stock trading, driven by irrational sentiment and following informed investors, causes temporary imbalances and future price reversals, highlighting the importance of investor irrationality, insider trading, but also illiquidity and imperfect arbitrage, for asset price behaviour. Our results provide implications for risk management, return and volatility forecasting, and regulation of insider trading and information provision.</div></div>\",\"PeriodicalId\":48419,\"journal\":{\"name\":\"Economic Modelling\",\"volume\":\"148 \",\"pages\":\"Article 107077\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Modelling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264999325000720\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325000720","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?
This study investigates the impact of trading volume on future stock returns, addressing the gap in the literature as to why such causality has previously been found to be of varying signs and magnitudes. Using data from the US covering the period 10/1973-12/2018, we employ quantile regressions to empirically examine if the volume-return causality is driven by informed trading, investors’ liquidity needs, sentiment, or uncertainty. Our analysis reveals that sentiment and the prevalence of informed trading, especially on good news, significantly explain the observed cross-quantile volume-return causality pattern. These findings offer new insights into how stock trading, driven by irrational sentiment and following informed investors, causes temporary imbalances and future price reversals, highlighting the importance of investor irrationality, insider trading, but also illiquidity and imperfect arbitrage, for asset price behaviour. Our results provide implications for risk management, return and volatility forecasting, and regulation of insider trading and information provision.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.