Powerful politicians can interfere with the enforcement of regulations. As such, expected political interference can affect constituents’ behavior. Using rotations of Senate committee chairs to identify variation in political power and expected regulatory relief, we study powerful politicians’ effect on consumer lending to communities protected by fair-lending regulations. We find a 7.5% reduction in credit access to minority neighborhoods in states with new committee chairs. Larger reductions occur in Community Reinvestment Act-eligible neighborhoods and when Senators serve on committees that oversee the enforcement of fair-lending laws. Banks headquartered in powerful Senators’ states are responsible for the reduction in credit access.

From 2010 to 2015, a group of traders illegally accessed earnings information before their public release by hacking several newswire services. We use this scheme as a natural experiment to investigate how informed investors select among private signals and how efficiently financial markets incorporate private information contained in trades into prices. We construct a measure of qualitative information using machine learning and find that the hackers traded on both qualitative and quantitative signals. The hackers’ trading caused 15% more of the earnings news to be incorporated in prices before their public release. Liquidity providers responded to the hackers’ trades by widening spreads.