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Macro-economic factors in credit risk calculations: including time-varying covariates in mixture cure models
- Publication Year :
- 2016
- Publisher :
- Taylor & Francis, 2016.
-
Abstract
- 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. ispartof: Journal of Business and Economic Statistics vol:37 issue:1 pages:40-53 status: published
- Subjects :
- Statistics and Probability
Time-varying covariate
Economics and Econometrics
Economics
Statistics & Probability
Population
0211 other engineering and technologies
Social Sciences
Credit risk modeling
02 engineering and technology
01 natural sciences
DEFAULT RISK
010104 statistics & probability
Business & Economics
Covariate
REGRESSION
Econometrics
0101 mathematics
Macro
education
Survival analysis
health care economics and organizations
01 Mathematical Sciences
14 Economics
education.field_of_study
Macro-economic factors
021103 operations research
Actuarial science
Science & Technology
15 Commerce, Management, Tourism and Services
IF
Mixture cure model
Social Sciences, Mathematical Methods
Time-varying covariates
Loan
EM
Censoring (clinical trials)
Physical Sciences
Statistics, Probability and Uncertainty
Social Sciences (miscellaneous)
Mathematical Methods In Social Sciences
Mathematics
Credit risk
PACKAGE
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....39a11a46306642c1a821fd8a59f6bcf7