Published online by Cambridge University Press: 02 March 2023
This chapter examines how banks’ Value-at-Risk (VaR) models performed during the COVID-19 crisis using regulatory trading desk-level data. It first evaluates whether banks’ VaR models were incomplete by checking whether various factors predict backtesting exceptions. Backtesting exceptions from the past ten business days and the level of the VIX forecast future exceptions. Predictability from past backtesting exceptions rises during the COVID-19 crisis relative to 2019. The results do not find any single market factor that related to contemporaneous backtesting exceptions. These results hold both in the aggregate and across asset classes.
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