This paper analyzes the evolution of bank funding structures in the run up to the global financial crisis and studies the implications for financial stability, exploiting a bank-level dataset that covers about 11,000 banks in the U.S. and Europe during 2001–09. The results show that banks with weaker structural liquidity and higher leverage in the pre-crisis period were more likely to fail afterward. The likelihood of bank failure also increases with pre-crisis bank risk-taking. In the cross-section, the smaller domestically-oriented banks were relatively more vulnerable to liquidity risk, while the large cross-border (Global) banks were more vulnerable to solvency risk due to excessive leverage. In fact, a 3.5 percentage point increase in the pre-crisis capital buffers of Global banks would have caused a 48 percentage point in their probability of failure during the crisis. The results support the proposed Basel III regulations on structural liquidity and leverage, but suggest that emphasis should be placed on the latter, particularly for the systemically-important institutions. Macroeconomic and monetary conditions are also shown to be related with the likelihood of bank failure, providing a case for the introduction of a macro-prudential approach to banking regulation.

This paper studies international diversification in banking, exploiting a bank-level dataset that covers the operations of 38 global banks and their subsidiaries overseas during 1995–2004. The paper finds that banks with a larger share of assets allocated to subsidiaries in emerging market countries were able to attain higher risk-adjusted returns. These gains were somewhat reduced by the concentration of bank subsidiaries in specific geographical regions, which is typical of the observed international expansion strategies. The paper also finds a substantial home bias in the international allocation of bank assets relative to the results of a mean–variance portfolio optimization model.

This paper proposes a model to conduct macro stress test of credit risk for the banking sector based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, covering household and corporate loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between the logistic transformation of non-performing loans (NPLs) and GDP growth, with a lag response of up to three quarters. The results also indicate that the procyclical behavior of loan quality varies across credit types. This is novel in the literature and suggests that banks with larger exposures to highly procyclical credit types and economic sectors would tend to undergo sharper deterioration in the quality of their credit portfolios during an economic downturn. Lack of sufficient portfolio granularity in macro stress testing fails to capture these effects and thus introduces a source of bias that tends to underestimate the tail losses stemming from the riskier banks in a system.