This article proposes a method for measuring the latent risks involved in the recovery process of non-performing loans in financial institutions and/or business firms that deal with collection and recovery processes. To that end, we apply the competing risks model referred to in the literature...

In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a personal loan portfolio in presence of disproportionate hazard rate. The main contribution of this paper is to evidence that mixture cure models are appropriate for non proportional sceneries,...

In this paper we propose a method that provides a useful technique to compare relationship between risk involved that takes customer becomes defaulter and debt collection process that might make this defaulter recovered. Through estimation of competitive risks that lead to realization of the...

In this paper, we extend the promotion cure rate model studied in Yakovlev and Tsodikov (1996) and Chen et al. (1999) by incorporating an excess of zeros in the modeling. Despite relating covariates to the cure fraction, the current approach does not enable us to relate covariates to the...

In this study, we propose to apply the transmuted log-logistic (TLL) model which is a generalization of log-logistic model, in a Bayesian context. The log-logistic model has been used it is simple and has a unimodal hazard rate, important characteristic in survival analysis. Also, the TLL model...

In this paper, we propose an inflated mixture model to deal with multimodality in loss given default data. We propose a mixed of degenerate distributions, to handle zeros and ones excess, with a mixture of to-be-chosen bounded distributions for non-zeros and non-ones proportions. By applying the...