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IT DEPENDS ON WHEN YOU SEARCH1

  • University of Texas at Dallas
  • School of Management, Harbin Institute of Technology
  • University of Science and Technology of China
  • Georgetown University

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)263-280
Number of pages18
JournalMIS Quarterly: Management Information Systems
Volume47
Issue number1
DOIs
StatePublished - Mar 2023
Externally publishedYes

Keywords

  • Internet search
  • retail investor attention
  • stock returns
  • time heterogeneity
  • trading activities

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