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Modeling systemic risk contribution using copula / vorgelegt von M.Sc. Brice Hakwa Wemaguela. Wuppertal, [2016]
Content
Introduction
Background
Risk and Crisis Prevention
Risk Control
Crisis management
Motivation and Contribution
The need for Macro-Prudential Regulatory Policies
CoVaR-Method as a Tool for the estimation of Systemic Risk Contributions
Modeling Systemic Risk Contribution
Financial System and Systemic Risk
Basic Stochastic Model for Systemic Risk
Systemic Crisis and Financial Extreme Events
Financial Default and Extremes Events
Contagion Effect and Extreme dependence
Measuring the Dependencies of Extreme Events in Finance
Measuring Systemic Risk Contribution using CoVaR-Method
Notion of Copula
Definition and Basic Properties
Copula and Tail Dependence Coefficient
CoVaR-Method using Copula.
A General Expression for CoVaRs|i(l) using Copula
Application to Gaussian Copula
Criticisms on Gaussian Copula as a Model for Systemic Risk Contribution
Application Non-Gaussian Copula
Application to t-copula
Archimedean copula
CoVaR s|Li=l for Convex Combinations of Copulas
Alternative Models for the Measurement of Systemic Risk Contribution
Some Critical Notes on CoVaRs|Li=l
CoVaRs|i may not captures Tail Dependence Effects
CoVaRs|Li=l is not Consistent with the Notion Systemic Risk
Alternative Measures
Computing CoVaRs|i(l) under Elliptical Distribution
Elliptical Distribution: Definition and basis Properties
Examples
Elliptical distribution and Extreme Dependence
Computing CoVaRs|i(l) when (Li, Ls)E2(, , )
Applications
Application to the Bivariate Normal Distribution
Application to the Bivariate t-Distribution
Conclusion