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By introducing a structure of the balance sheets of the banks, which takes into account their bilateral exposures in terms of stocks or lendings, we get a structural model for default analysis. This model allows distinguishing the exogenous and endogenous default dependence. We prove the...
Persistent link: https://www.econbiz.de/10013096176
We introduce new semi-parametric models for the analysis of rates and proportions, such as proportions of default, (expected) loss-given-default and credit conversion factor encountered in credit risk analysis. These models are especially convenient for stress test exercises. We show that...
Persistent link: https://www.econbiz.de/10012914638
The shocks on a stochastic system can be defined by means of either distribution, or variable. We relate these approaches and provide the link between the global and local effects of both types of shocks. These methodologies are used to perform stress-tests on the portfolio of financial...
Persistent link: https://www.econbiz.de/10013109680
In the first part of this thesis, we introduce a new methodology for stress-test exercises. Our approach allows to consider richer stress-test exercises, which assess the impact of a modification of the whole distribution of asset prices’ factors, rather than focusing as the common practices...
Persistent link: https://www.econbiz.de/10011074681
The shocks on a stochastic system can be defined by means of either distribution, or variable. We relate these approaches and provide the link between the global and local effects of both types of shocks. These methodologies are used to perform stress-tests on the portfolio of financial...
Persistent link: https://www.econbiz.de/10010548475
The basic assumption of a structural VARMA model (SVARMA) is that it is driven by a white noise whose components are uncorrelated (or independent) and are interpreted as economic shocks, called "structural" shocks. These models have to face two kinds of identification problems. The first...
Persistent link: https://www.econbiz.de/10011097428