The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

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The paper analyzes a two-factor credit risk model allowing to capture default and recovery rate variation, their mutual correlation, and dependence on various explanatory variables. At the same time, it allows computing analytically the unexpected credit loss. We propose and empirically...

<span lang="EN-US"><span style="font-size: small; font-family: Times New Roman;">A retail bank consumer loan dataset is used to develop logistic regression based scoring functions with different definitions of default from a very broad to a narrow or hard. The performance of the scoring functions is compared with respect to the hard definition of default which indicates real...</span></span>

<em style="mso-bidi-font-style: normal;"><span lang="EN-US"><span style="font-family: Times New Roman; font-size: small;">The paper proposes a two systematic factor model to capture a retail portfolio probability of default (PD) and loss given default (LGD) parameters, in particular their mutual correlation. We argue that the standard one factor models standing behind the Basel II formula and used by a number of...</span></span></em>