The Dynamic Volume-Return Relationship of Individual Stocks: The International Evidence

L. Gagnon, G. Karolyi, Kuan-Hui Lee
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引用次数: 9

Abstract

We examine the volume-return relationship of individual stocks around the world. We frame our empirical investigation in the context of the heterogeneous agent, rational expectations, framework proposed by Llorente, Michaely, Saar, and Wang (2002) in which investors trade to speculate on their private information or to rebalance their portfolios i.e. to share risk). Their model predicts that returns tend to continue themselves, following high volume days, when they are generated by speculative trades while returns generated by risk-sharing trades tend to reverse themselves. We test this prediction internationally by analyzing the relationship between return autocorrelation and volume using a survivorship-bias free sample of 20,305 individual stocks from forty markets around the world. We find strong support for this theoretical prediction in the vast majority of countries covered in our sample. We also find that the quality of the country's information environment influences the dynamic volume-relation of individual stocks. Our evidence shows that stocks from countries with a high-quality information environment have a higher overall propensity towards return reversals than their counterparts from countries with a poor information environment. This finding has important implications for market participants and regulatory authorities.
个股动态量收益关系:国际证据
我们研究了世界各地个股的量收益关系。我们在Llorente、Michaely、Saar和Wang(2002)提出的异质代理、理性预期框架的背景下进行实证研究,在这个框架中,投资者交易是为了利用他们的私人信息进行投机,或重新平衡他们的投资组合(即分担风险)。他们的模型预测,在交易量高的日子里,由投机交易产生的回报往往会持续下去,而由风险分担交易产生的回报往往会逆转。我们使用来自全球40个市场的20,305只个股的无生存偏差样本,通过分析收益自相关与交易量之间的关系,在国际上检验了这一预测。我们发现,在我们样本覆盖的绝大多数国家中,这一理论预测得到了强有力的支持。我们还发现,国家信息环境的质量会影响个股的动态成交量关系。我们的证据表明,来自高质量信息环境的国家的股票比来自信息环境较差的国家的股票具有更高的总体回报逆转倾向。这一发现对市场参与者和监管机构具有重要意义。
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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