CREWS: a CAMELS-based early warning system of systemic risk in the banking sector
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More about this item
Keywords
banks; defaults; early-warning performance; macroprudential policy; systemic risk;All these keywords.
JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
- G01 - Financial Economics - - General - - - Financial Crises
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2022-01-17 (Central Banking)
- NEP-EEC-2022-01-17 (European Economics)
- NEP-FDG-2022-01-17 (Financial Development and Growth)
- NEP-MAC-2022-01-17 (Macroeconomics)
- NEP-MON-2022-01-17 (Monetary Economics)
- NEP-RMG-2022-01-17 (Risk Management)
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