The prediction of the time of default in a credit risk setting via survival analysis needs to take a high censoring rate into account. This rate is due to the fact that default does not occur for the majority of debtors. Mixture cure models allow the part of the loan population that is unsusceptible to default to be modelled, distinct from time of default for the susceptible population. In this paper, we extend the mixture cure model to include time-varying covariates. We illustrate the method via simulations and by incorporating macro-economic factors as predictors for an actual bank data set.nrpages: 35status: publishe
Credit risk assessment is one of the most important tasks of banks and other financial institutions....
Observable covariates are useful for predicting default, but several studies question their value fo...
In the aftermath of the recent financial crisis, the way credit risk is affected by and affects the...
The prediction of the time of default in a credit risk setting via survival analysis needs to take a...
Mixture cure models were originally proposed in medical statistics to model long-term survival of ca...
In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a ...
The three papers in this thesis comprise the development of three types of Basel models – a Probabil...
Survival analysis can be applied to build models for time of default on debt. In this paper we repor...
The Basel Accords, a set of recommendations for regulating the banking industry, have changed the st...
From a survival analysis perspective, bank failure data are often characterized by small default rat...
We propose a novel time series panel data framework for estimating and forecasting time-varying corp...
Thesis by publication.Includes bibliographic references1 Introduction -- 2 Literature Review -- 3 PA...
Due to more strict regulations as a result of the Basel accords, survival analysis is becoming more ...
Restricted until 5 July 2009.I study the time series dynamics of commercial mortgage credit risk and...
Purpose: This paper demonstrates how mixture survival models can be applied to analyse mortgage insu...
Credit risk assessment is one of the most important tasks of banks and other financial institutions....
Observable covariates are useful for predicting default, but several studies question their value fo...
In the aftermath of the recent financial crisis, the way credit risk is affected by and affects the...
The prediction of the time of default in a credit risk setting via survival analysis needs to take a...
Mixture cure models were originally proposed in medical statistics to model long-term survival of ca...
In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a ...
The three papers in this thesis comprise the development of three types of Basel models – a Probabil...
Survival analysis can be applied to build models for time of default on debt. In this paper we repor...
The Basel Accords, a set of recommendations for regulating the banking industry, have changed the st...
From a survival analysis perspective, bank failure data are often characterized by small default rat...
We propose a novel time series panel data framework for estimating and forecasting time-varying corp...
Thesis by publication.Includes bibliographic references1 Introduction -- 2 Literature Review -- 3 PA...
Due to more strict regulations as a result of the Basel accords, survival analysis is becoming more ...
Restricted until 5 July 2009.I study the time series dynamics of commercial mortgage credit risk and...
Purpose: This paper demonstrates how mixture survival models can be applied to analyse mortgage insu...
Credit risk assessment is one of the most important tasks of banks and other financial institutions....
Observable covariates are useful for predicting default, but several studies question their value fo...
In the aftermath of the recent financial crisis, the way credit risk is affected by and affects the...