The Firm Next Door: Using Satellite Images to Study Local Information Advantage

• 成果类型: Article
• 署名作者: Kang, Jung Koo; Stice-Lawrence, Lorien; Wong, Yu Ting Forester
• 署名单位: University of Southern California
• 刊物名称: JOURNAL OF ACCOUNTING RESEARCH
• ISSN/ISSBN: 0021-8456
• DOI: 10.1111/1475-679X.12360
• 发表日期: 2021
• 页码: 713-750
• 关键词: private; geography; earnings; analysts; sales

摘要

We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level performance and find that institutional investors adjust their holdings in response to the performance of local stores, and that these trades are profitable on average. These results suggest that local investors have an advantage when processing information about nearby operations. However, some institutional investors do not adjust for the quality of their local information and continue to rely on local signals even when they are poor predictors of firm performance and returns. This overreliance on poor local information is reduced for institutional investors with greater industry expertise and those with greater incentives to maximize short-term trading profits.