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Fresh air eases work—the effect of air quality on individual investor activity

Review of Finance 2024 28(3), 1105-1149 open access
This article shows that contemporaneous and lagged air pollution negatively affects the likelihood of German individual investors to log in and trade in their brokerage accounts, using intraday data and controlling for investor-, weather-, traffic-, and market-specific factors. A 1 SD increase in air pollution leads to a 1.3 percent reduction in the probability of logging in, which is larger than the response to a 1 SD increase in sunshine. We argue that changes in air pollution affect productivity in cognitively demanding tasks, such as trading. Our results are robust to macroeconomic productivity shocks, nonlinearities, or measurement error.

Mobile Apps and Financial Decision Making

Review of Finance 2023 27(3), 977-996 open access
We exploit the release of a mobile application for a financial aggregation platform to analyze how technology adoption changes consumer financial decision making. The app reduced the cost of accessing personal financial information, and we find that this led to a drop in non-sufficient fund fees. Because of the manner in which these fees are incurred, this represents an unambiguous welfare improvement for users of the platform. The leading explanation for this result appears to be mistake avoidance due to easier access to information.

Income, Liquidity, and the Consumption Response to the 2020 Economic Stimulus Payments

Review of Finance 2023 27(6), 2271-2304 open access
The 2020 CARES Act directed large cash payments to households. We analyze households’ spending responses using data from a Fintech nonprofit, exploring heterogeneity by income, recent income declines, and liquidity as well as linked survey responses about economic expectations. Households respond rapidly to payments, with spending increasing by about $0.14 per dollar during the first week and plateauing around 0.25–0.30 over 3 months. In contrast to previous stimulus programs, we see little response of durables spending. Households with lower incomes, greater income declines, and less liquidity display stronger responses whereas households that expect employment losses and benefit cuts display weaker responses.