Authors: Natalia Fischl-Lanzoni, Martin Hiti, and Asani Sarkar
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JEL classification: G01, G12, G14, G21
Authors: Natalia Fischl-Lanzoni, Martin Hiti, and Asani Sarkar
We track investor perceptions of bank risk during the 2023 bank run by estimating “balance sheet betas”—the covariance of a bank’s stock returns with returns on factors based on uninsured deposits and unrealized securities losses in 2022Q3. We find that the betas are mostly zero before the run but increase significantly during the run, primarily for banks featured in news articles. Increases in the betas are only weakly related to bank fundamentals but reverse sharply following the Fed’s liquidity support. Our results suggest that media attention and government interventions, rather than fundamentals alone, coordinate shifts in information sensitivity.
