This paper assesses the value of multiple requirements in bank regulation using a novel empirical rule-based methodology. Exploiting a dataset of capital and liquidity ratios for a sample of global banks in 2005 and 2006, we apply simple threshold-based rules to assess how different regulations individually and in combination might have identified banks that subsequently failed during the global financial crisis. Our results generally support the case for a small portfolio of different regulatory metrics. Under the objective of correctly identifying a high proportion of banks which subsequently failed, we find that a portfolio of a leverage ratio, a risk-weighted capital ratio, and a net stable funding ratio yields fewer false alarms than any of these metrics individually-and at less stringent calibrations of each individual regulatory metric. We also discuss how these results apply in different robustness exercises, including out-of-sample evaluations. Finally, we consider the potential role of market-based measures of bank capitalisation, showing that they provide complementary value to their accounting-based counterparts.
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