Is Information Risk Priced? New Evidence from Outer Space

Xianfeng Hao (), Shujing Wang (), Yudong Wang and Liangyu Wu ()
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Xianfeng Hao: Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
Shujing Wang: School of Economics and Management, Tongji University, Shanghai 200092, China
Liangyu Wu: School of Management and Engineering, Nanjing University, Nanjing 210093, China

Management Science, 2025, vol. 71, issue 9, 7707-7730

Abstract: Satellite images of the parking lots of U.S. retail firms provide information about the firms’ future earnings, and the limited access to these images produces information asymmetry between sophisticated and unsophisticated investors. We construct a cloud-based information risk (CIR) measure to capture this satellite information risk and investigate its asset pricing performance. We find that CIR positively predicts future stock returns of retail firms in the cross-section and that the predictability cannot be explained by weather reasons. We provide evidence that CIR indeed captures the information asymmetry among investors. The profitability of short selling is more pronounced on clear days. The return predictability of CIR is more pronounced in preannouncement periods. During cloudy days, parking lot traffic data from satellite images are harder to obtain, and the retail store sales estimated using parking lot data are noisier. We further show that high CIR is associated with low liquidity and that the decrease in liquidity purchases is greater than the decrease in liquidity sales. Our empirical analyses suggest that information asymmetry is priced and that CIR affects equity premiums through the liquidity channel, which are consistent with the theoretical predictions from a noisy rational expectations equilibrium model under imperfect competition.

Keywords: information risk; satellite information; alternative data; asset pricing; liquidity (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:71:y:2025:i:9:p:7707-7730

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