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We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...
Persistent link: https://www.econbiz.de/10010326485
Persistent link: https://www.econbiz.de/10013089591
This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with market uncertainty. During calm periods, the underlying risk forecast models...
Persistent link: https://www.econbiz.de/10012973321
Since increasing a bank's capital requirement to improve the stability of the financial system imposes costs upon the bank, a regulator should ideally be able to prove beyond a reasonable doubt that banks classified as systemically risky really do create systemic risk before subjecting them to...
Persistent link: https://www.econbiz.de/10013002956
This paper finds non-interest income to be positively correlated with total systemic risk for a large sample of U.S. banks. Decomposing total systemic risk into three components, we find that non-interest income has a positive relationship with a bank's tail risk, a positive relationship with a...
Persistent link: https://www.econbiz.de/10012850244
Persistent link: https://www.econbiz.de/10010190996
We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...
Persistent link: https://www.econbiz.de/10011255476
We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...
Persistent link: https://www.econbiz.de/10010835567
We estimate the contribution of large U.S, banks to the financial sector systemic risk by using value-at-risk (VaR ), conditional value-at-risk (CoV aR ), and two-stage least square (2SLS) methodology, Our sample is the monthly stock returns of 25 large U.S, banks from 1997 to 2021, We find that...
Persistent link: https://www.econbiz.de/10014307497
La crisis financiera internacional evidenció la necesidad de estudiar mejor las medidas de riesgo de mercado y puso en entredicho prácticas de gestión de riesgo basadas en el Valor en Riesgo (VaR). En este sentido, Adrian y Brunnermeier (2008, 2011) propusieron el VaR condicional (CoVaR) como...
Persistent link: https://www.econbiz.de/10011118615