Systemic Risk Modeling : How Theory Can Meet Statistics /
We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire sales,...
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| Outros autores: | , |
| Formato: | Revista |
| Idioma: | English |
| Publicado: |
Washington, D.C. :
International Monetary Fund,
2020.
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| Series: | IMF Working Papers; Working Paper ;
No. 2020/054 |
| Acceso en liña: | Full text available on IMF |
| Summary: | We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire sales, and a 'Minsky" cycle of optimism. The empirical model uses stock market and CDS spreads data to estimate a multivariate density of equity returns and to compute the expected equity return for each bank, conditional on a bad macro-outcome. Theses 'cross-sectional" moments are used to re-calibrate the theoretical model and estimate the importance of the Minsky cycle of optimism in driving systemic risk. |
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| descrición da copia: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Descrición Física: | 1 online resource (39 pages) |
| Formato: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Acceso: | Electronic access restricted to authorized BRAC University faculty, staff and students |