Using a limiting approach to portfolio credit risk, we obtain analytic expressions for the tail behavior of credit losses. To capture the co-movements in defaults over time, we assume that defaults are triggered by a general, possibly non-linear, factor model involving both systematic and idiosyncratic risk factors. The model encompasses default mechanisms in popular models of portfolio credit risk, such as CreditMetrics and CreditRis
We construct a general dynamic model of losses of a large loan portfolio, secured by collaterals. In...
We derive an analytic approximation to the credit loss distribution of large portfolios by letting t...
This thesis focuses on the key credit risk parameter - Loss Given Default (LGD). We describe its gen...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
We derive the exact loss distribution for portfolios of bonds or cor-porate loans when the number of...
Please also provide full postal addresses for the CWI Center and Delft Institute affiliations (we re...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
This paper develops a flexible and computationally efficient model to estimate the credit loss distr...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
AbstractIn this document a method is discussed to incorporate stochastic Loss-Given-Default (LGD) in...
In Section 10.3 we defined the loss variables as indicators of default events. A very common approac...
We consider portfolio credit loss distributions based on a factor model for individual exposures and...
The impact of a stress scenario of default events on the loss distribution of a credit portfolio can...
The Vasicek single factor model of portfolio credit loss is generalized to include correlated stocha...
We construct a general dynamic model of losses of a large loan portfolio, secured by collaterals. In...
We derive an analytic approximation to the credit loss distribution of large portfolios by letting t...
This thesis focuses on the key credit risk parameter - Loss Given Default (LGD). We describe its gen...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
We derive the exact loss distribution for portfolios of bonds or cor-porate loans when the number of...
Please also provide full postal addresses for the CWI Center and Delft Institute affiliations (we re...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
This paper develops a flexible and computationally efficient model to estimate the credit loss distr...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
AbstractIn this document a method is discussed to incorporate stochastic Loss-Given-Default (LGD) in...
In Section 10.3 we defined the loss variables as indicators of default events. A very common approac...
We consider portfolio credit loss distributions based on a factor model for individual exposures and...
The impact of a stress scenario of default events on the loss distribution of a credit portfolio can...
The Vasicek single factor model of portfolio credit loss is generalized to include correlated stocha...
We construct a general dynamic model of losses of a large loan portfolio, secured by collaterals. In...
We derive an analytic approximation to the credit loss distribution of large portfolios by letting t...
This thesis focuses on the key credit risk parameter - Loss Given Default (LGD). We describe its gen...