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Working Paper
Business complexity and risk management: evidence from operational risk events in U. S. bank holding companies
How does business complexity affect risk management in financial institutions? The commonly used risk measures rely on either balance-sheet or market-based information, both of which may suffer from identification problems when it comes to answering this question. Balance-sheet measures, such as return on assets, capture the risk when it is realized, while empirical identification requires knowledge of the risk when it is actually taken. Market-based measures, such as bond yields, not only ignore the problem that investors are not fully aware of all the risks taken by management due to ...
Speech
Welcome remarks at First New York Fed Fintech Conference, Federal Reserve Bank of New York, New York City
Remarks at the First New York Fed Fintech Conference, Federal Reserve Bank of New York, New York City.
Report
A general approach to integrated risk management with skewed, fat-tailed risks
The goal of integrated risk management in a financial institution is to measure and manage risk and capital across a range of diverse business activities. This requires an approach for aggregating risk types (market, credit, and operational) whose distributional shapes vary considerably. In this paper, we use the method of copulas to construct the joint risk distribution for a typical large, internationally active bank. This technique allows us to incorporate realistic marginal distributions that capture some of the essential empirical features of these risks-such as skewness and fat ...
Speech
The importance of addressing cybersecurity risks in the financial sector
Remarks at the OpRisk North America Annual Conference, New York City.