Trading on trends: How the ordering of historical volume predicts Chinese stock returns?

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE
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引用次数: 0

Abstract

In examining return prediction strategies in China’s stock market, we find that the chronological return ordering is ineffective within a one-month window. To overcome this limitation, we introduce a more robust measure, named chronological turnover ordering (CTO3), calculated using turnover in the past three months. As anticipated, CTO3 demonstrates statistically significant predictability for returns, indicating a tendency among investors to overvalue stocks with high recent and low distant turnover. Bivariate portfolio analysis reveals that CTO3 performs more effectively during high-sentiment periods and on stocks with high investor attention. This research contributes significantly to understanding investor behavior and market dynamics in China.

趋势交易:历史成交量排序如何预测中国股票收益?
在研究中国股票市场的收益预测策略时,我们发现按时间顺序排列的收益率在一个月的窗口内是无效的。为了克服这一局限性,我们引入了一种更稳健的方法,即按时间顺序排列成交额(CTO3),使用过去三个月的成交额进行计算。正如预期的那样,CTO3 对回报率的预测具有显著的统计意义,表明投资者倾向于高估近期成交额高而远期成交额低的股票。双变量投资组合分析显示,CTO3 在情绪高涨时期和投资者高度关注的股票上表现更为有效。这项研究对理解中国的投资者行为和市场动态大有裨益。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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