Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
We use historical covariance between stock returns of U.S. banks and bitcoin returns to estimate a sensitivity measure that captures crypto-related risk in financial institutions. The measure effectively explains cross-sectional stock returns of 219 U.S. based financial institutions in response to the failure of FTX on November 11, 2022. Overall we document negative contagion effects on the market valuation of U.S. banks. We further show that this risk measure is unrelated to variables that have been used to explain operational risk in previous literature, i.e., corporate governance and business complexity. However, we document a significant relation with bank liquidity as measured by the Tier 1 capital adequacy ratio. We conclude that, on average, it is the banks with sufficient liquidity reserves that venture into the crypto sphere. Our approach offers individual investors and customers the opportunity to leverage market efficiency to evaluate the idiosyncratic level of crypto-related risk in a financial institution.
Recommended Citation
Mueller, Lukas; Stoeckl, Sebastian; Mueller, Johanna; and Schiereck, Dirk, "Estimating Crypto-Related Risk: Market-Based Evidence from FTX’s Failure and Its Contagion on U.S. Banks" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 4.
https://aisel.aisnet.org/hicss-57/in/fintech/4
Estimating Crypto-Related Risk: Market-Based Evidence from FTX’s Failure and Its Contagion on U.S. Banks
Hilton Hawaiian Village, Honolulu, Hawaii
We use historical covariance between stock returns of U.S. banks and bitcoin returns to estimate a sensitivity measure that captures crypto-related risk in financial institutions. The measure effectively explains cross-sectional stock returns of 219 U.S. based financial institutions in response to the failure of FTX on November 11, 2022. Overall we document negative contagion effects on the market valuation of U.S. banks. We further show that this risk measure is unrelated to variables that have been used to explain operational risk in previous literature, i.e., corporate governance and business complexity. However, we document a significant relation with bank liquidity as measured by the Tier 1 capital adequacy ratio. We conclude that, on average, it is the banks with sufficient liquidity reserves that venture into the crypto sphere. Our approach offers individual investors and customers the opportunity to leverage market efficiency to evaluate the idiosyncratic level of crypto-related risk in a financial institution.
https://aisel.aisnet.org/hicss-57/in/fintech/4