可预测性
库存(枪支)
在线搜索
预测能力
计量经济学
经济
搜索成本
频道(广播)
业务
价格发现
金融经济学
计算机科学
微观经济学
工程类
统计
期货合约
情报检索
电信
哲学
认识论
机械工程
数学
作者
Jun Li,Xianwei Liu,Qiang Ye,Feng Zhao,Xiaofei Zhao
标识
DOI:10.25300/misq/2022/17234
摘要
Existing studies have found that online search is a revealed measure for investor attention and a useful predictor of stock returns. We study the heterogeneity in retail investor attention by comparing search conducted on weekdays vs. weekends and investigate the price pressure channel and information processing channel for stock return predictability. According to the information processing channel, weekends afford retail investors more time for the intensive cognitive analysis necessary to make better predictions. Alternatively, weekend search might better capture the price pressure from retail investors’ trading activities. We provide empirical results that support the information processing channel. We first show that weekend search, rather than weekday search, predicts large-cap stock returns in both the cross-section and time series. Additionally, our findings on retail trading activity contradict the price pressure channel in that weekday search, rather than weekend search, leads to a subsequent retail order imbalance. Overall, our study contributes to the literature on the predictive power of online search on stock returns, which has mainly focused on the price pressure channel, which yields significant results for small-cap stocks only.
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