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Summary of "Bank Risk during the Great Recession: Do business models matter?"

Core Content

This paper investigates the relationship between bank business models and the materialization of bank risk during the 2007-2009 Great Recession. The authors analyze whether the pre-crisis variability in business models can help predict the extent of bank distress during the crisis. They use a unique dataset of listed banks in the European Union and the United States to assess the impact of business models on different dimensions of bank risk, including the likelihood of a bank rescue, systematic risk, and the use of central bank liquidity.

Main Conclusions

• Non-linear impact of business models: The effect of business models on bank risk is highly non-linear. Riskier banks are more sensitive to loan expansion, customer deposits, and short-term market funding.
• Stock market valuation as a risk indicator: Banks that experienced large increases in their stock market valuations prior to the crisis should be monitored more closely, as they are more likely to face financial distress during the crisis.
• Robustness of pre-crisis risk determinants: Despite the unexpected nature of the crisis, pre-crisis determinants of bank risk, such as credit expansion, low capital, large size, and reliance on short-term funding, remain significant predictors of distress during the crisis.
• Relevance for regulatory frameworks: The findings support the need for stronger capital requirements, especially for undercapitalized banks, and highlight the importance of considering business models in regulatory decisions.

Key Findings

1. Business Model Characteristics and Risk

• Capital structure: Higher capital levels are generally associated with greater bank soundness, especially during crises. However, the relationship is non-linear, with both very low and very high capital potentially increasing risk.
• Asset structure: Larger banks and those with higher credit growth are more prone to distress. Securitization, while initially seen as a risk-mitigating tool, may have led to increased systemic risk due to the off-loading of credit risk and the subsequent loosening of lending standards.
• Funding structure: Banks that rely more on short-term market funding are more vulnerable to liquidity shocks. Retail deposits, being more stable, offer a buffer against distress, but their availability is often less flexible than wholesale funding.
• Income structure: Diversification into non-interest income sources, such as trading and investment banking, may not reduce overall bank risk. In fact, during financial stress, these sources can become more volatile, exacerbating risk exposure.

2. Role of Stock Market Valuation

• The authors find that pre-crisis stock market valuations are predictive of distress during the crisis. This suggests that the high valuations of some banks may have been driven by latent risks rather than improved management or performance.

3. Regulatory Implications

• The paper highlights the limitations of Basel II, which relied more on internal risk models and less on regulatory rules. This may have contributed to the accumulation of risk before the crisis.
• It supports the Basel III initiatives, which aim to increase core capital levels, reduce credit cyclicality, and improve the stability of the financial system by considering business models in regulatory frameworks.

Methodology and Data

• The study uses a large sample of listed banks in the EU and the US, and measures bank risk through three dimensions: likelihood of rescue, systematic risk, and use of central bank liquidity.
• A multifaceted approach is employed, combining both ex-ante and ex-post data to assess the relationship between business models and risk.
• Quantile regression techniques are used to analyze the non-linear impact of business models on bank risk across different levels of distress.

Conclusion and Recommendations

• The findings confirm that the pre-crisis business model characteristics are still relevant in predicting bank distress during the crisis.
• Regulators are advised to pay closer attention to the business models and risk-taking incentives of banks, particularly those with rapid stock market valuation growth.
• The implementation of anti-cyclical capital buffers should be carefully evaluated, as excessive loan growth can lead to risk accumulation.
• Further research and regulatory attention should be directed towards understanding the interplay between business models, risk, and financial stability.

Structure of the Paper

• Section I: Reviews the transformation of the financial system and its impact on bank business models and risk-taking incentives.
• Section II: Provides a literature review on the relationship between business models and bank risk, divided into five subsections: capital structure, asset structure, funding structure, income structure, and additional control variables.
• Section III: Describes the model, data sources, and dataset construction.
• Section IV: Presents the main empirical findings and robustness tests.
• Section V: Concludes with recommendations for future regulation and research.