Three regime bivariate normal distribution : a new estimation method for co-value-at-risk, CoVaR
| Year of publication: |
2019
|
|---|---|
| Authors: | Choi, Ji-Eun ; Shin, Dong-wan |
| Published in: |
The European journal of finance. - London [u.a.] : Taylor & Francis Group, ISSN 1466-4364, ZDB-ID 2001610-4. - Vol. 25.2019, 18, p. 1817-1833
|
| Subject: | Asymmetric correlation | contagion | CoVaR | delta-CoVaR | quasi maximum likelihood | systemic risk | Schätztheorie | Estimation theory | Finanzmarkt | Financial market | Finanzkrise | Financial crisis | Korrelation | Correlation | Schätzung | Estimation | Statistische Verteilung | Statistical distribution | Risiko | Risk | Systemrisiko | Systemic risk | Risikomaß | Risk measure | Maximum-Likelihood-Schätzung | Maximum likelihood estimation |
-
Systemic risk measurement : multivariate GARCH estimation of CoVaR
Girardi, Giulio, (2013)
-
Measuring systemic risk with high-frequency data : a realized GARCH approach
Chen, Qihao, (2023)
-
Conditional extremes in asymmetric financial markets
Nolde, Natalia, (2020)
- More ...
-
Forecasts for leverage heterogeneous autoregressive models with jumps and other covariates
Choi, Ji-Eun, (2018)
-
Vector SHAP values for machine learning time series forecasting
Choi, Ji-Eun, (2025)
-
A self-normalization test for correlation change
Choi, Ji-Eun, (2020)
- More ...