Abstract
As machines replace humans in financial markets, how is informational efficiency impacted? We shed light on this issue by exploiting a unique data-set that allows us to identify when machines access important company information (8-K filings) versus when humans access the same information. We find that increased information access by cloud computing services significantly improves informational efficiency and reduces the price drift following information events. We address identification through exogenous power and cloud outages, a quasi-natural experiment, and instrumental variables. We show that machines are better able to handle linguistically complex filings, less susceptible to bias from negative sentiment and less constrained in attention/processing capacity than humans.
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