The Risks of Financial Institutions

Over the last twenty years, the consensus view of systemic risk in the financial system that emerged in response to the banking crises of the 1930s and before has lost much of its relevance. This view held that the main systemic problem is runs on solvent banks leading to bank panics. But financial crises of the last two decades have not fit the mold. A new consensus has yet to emerge, but financial institutions and regulators have considerably broadened their assessment of the risks facing financial institutions. The dramatic rise of modern risk management has changed how the risks of financial institutions are measured and how these institutions are managed. However, modern risk management is not without weaknesses that will have to be addressed.

Banking Crises Yesterday and Today

Provides an overview of the history of banking crises, as distinguished from financial crises, and the role of microeconomic and regulatory policy, both as causes of and as responses to the crises. Examines how politics can limit improved regulation

Flight to Quality for Large Financial Institutions

Local correlation analysis is used to investigate flight to quality among large financial institutions before, during, and after the financial crisis of 2008-2009. While standard correlation captures general overall linear association, local correlation analysis more accurately captures changes in the associations in response to changing market conditions. Using raw, market-adjusted, and industry-adjusted stock returns of individual banks, we investigate the performance of troubled banks and the change in investing behavior. Investors react to noisy information from the financial difficulties encountered by banking institutions. This reaction results in flight to quality. While the traditional Pearson correlations capture general overall linear association, local correlation analysis captures changes in the association in response to changing market conditions. Thus, local correlation analysis more accurately measures changes in correlation where it matters most: in the loss tail of the distribution of financial returns; leading to more appropriate diversification, portfolio management, and within-industry implications