We construct a general dynamic model of losses of a large loan portfolio, secured by collaterals. In the model, the wealth of a debtor and the price of the corresponding collateral depend each on two factors: a common one, having a general distribution, and an individual one, following an AR(1) process. The default of a loan happens if the wealth stops to be su cient for repaying the loan. We show that the mapping transforming the common factors into the probability of default (PD) and the loss given default (LGD) is one-to-one twice continuously differentiable. As the transformation is not analytically tractable, we propose a numerical technique for its computation and demonstrate its accuracy by a numerical study.\nWe show that the result...
This paper develops a flexible and computationally efficient model to estimate the credit loss distr...
We develop a dynamic multivariate default model for a portfolio of credit-risky assets in which defa...
Various portfolio risk models are used to calculate the probability distribution of credit losses fo...
We propose a dynamic model of mortgage credit losses. We assume borrowers to hold assets covering th...
During the last decades, Merton-Vasicek factor model (1987), later generalize by Frye at al. (2000),...
Using a limiting approach to portfolio credit risk, we obtain analytic expressions for the tail beha...
Arguably, the credit risk models reported in the literature for the retail lendingsector have so far...
markdownabstractCyclicality in the losses of bank loans is important for bank risk management. Becau...
Mathematical modeling of loss given default As the people are willing to take more loans for their i...
We generalize the well known Merton-Vasicek (KMV) model of a loan portfolio value in two ways: we as...
One approach to modelling Loss Given Default (LGD), the percentage of the defaulted amount of a loan...
Factor models for portfolio credit risk assume that defaults are independent conditional on a small ...
One of the biggest risks arising from financial operations is the risk of counterparty default, comm...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
This thesis focuses on the study of credit default dependence and related mathematical and computati...
This paper develops a flexible and computationally efficient model to estimate the credit loss distr...
We develop a dynamic multivariate default model for a portfolio of credit-risky assets in which defa...
Various portfolio risk models are used to calculate the probability distribution of credit losses fo...
We propose a dynamic model of mortgage credit losses. We assume borrowers to hold assets covering th...
During the last decades, Merton-Vasicek factor model (1987), later generalize by Frye at al. (2000),...
Using a limiting approach to portfolio credit risk, we obtain analytic expressions for the tail beha...
Arguably, the credit risk models reported in the literature for the retail lendingsector have so far...
markdownabstractCyclicality in the losses of bank loans is important for bank risk management. Becau...
Mathematical modeling of loss given default As the people are willing to take more loans for their i...
We generalize the well known Merton-Vasicek (KMV) model of a loan portfolio value in two ways: we as...
One approach to modelling Loss Given Default (LGD), the percentage of the defaulted amount of a loan...
Factor models for portfolio credit risk assume that defaults are independent conditional on a small ...
One of the biggest risks arising from financial operations is the risk of counterparty default, comm...
We derive analytic expressions for the tail behavior of credit losses in a large homogeneous credit ...
This thesis focuses on the study of credit default dependence and related mathematical and computati...
This paper develops a flexible and computationally efficient model to estimate the credit loss distr...
We develop a dynamic multivariate default model for a portfolio of credit-risky assets in which defa...
Various portfolio risk models are used to calculate the probability distribution of credit losses fo...