In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the...

In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the...

In this study, we consider the construction of through-the-cycle ("TTC") PD models designed for credit underwriting uses and point-in-time ("PIT") PD models suitable for early warning uses, considering which validation elements should be emphasized in each case. We build PD models using a long...

In this study, we consider the construction of through-the-cycle ("TTC") PD models designed for credit underwriting uses and point-in-time ("PIT") PD models suitable for early warning uses, considering which validation elements should be emphasized in each case. We build PD models using a long...

In this paper we propose a discrete time model to measure the default spread for Bank loans. The model provides a closed-form solution for the short and medium term default spread, which we assume to be dependent on the default probabilities, the losses given default, the risk grades transition...

We study the problem arising from the lack of information on some debtors’ behavior in the databases used to develop credit scoring models, and the use of the behavioral information stored at a Credit Register as a potential solution to the problem. To this purpose, we use yearly information...

The main purpose of this paper is to study the problem created by the lack of information about the credit history of some debtors in the databases used to develop credit scoring models and the use of information about behavior compiled by a credit risk register as a potential solution to the...

The main object of this paper is to develop a credit scoring methodology for Argentine bank commercial obligors based on information available in the Public Credit Registry of the Central Bank of Argentina (Central de Deudores) as a reference tool to assess credit risk in local banks. Previous...

The main purpose of this paper is to study the problem created by the lack of information about the credit history of some debtors in the databases used to develop credit scoring models and the use of information about behavior compiled by a credit risk register as a potential solution to the...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...