1,511
Views
23
CrossRef citations to date
0
Altmetric
Articles

Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models

, , &
Pages 40-53 | Received 01 Sep 2015, Accepted 01 Nov 2016, Published online: 27 Apr 2017

References

  • Andersen, P. K. (1992), “Repeated Assessment of Risk Factors in Survival Analysis,” Statistical Methods in Medical Research, 1, 297–315.
  • Austin, P. C. (2012), “Generating Survival Times to Simulate Cox Proportional Hazards Models With Time-Varying Covariates,” Statistics in Medicine, 31, 3946–3958.
  • Banasik, J., Crook, J., and Thomas, L. (1999), “Not if But When Will Borrowers Default,” The Journal of the Operational Research Society, 50, 1185–1190.
  • Bellotti, T., and Crook, J. (2009), “Credit Scoring With Macroeconomic Variables Using Survival Analysis,” The Journal of the Operational Research Society, 60, 1699–1707.
  • Berkson, J., and Gage, R. P. (1952), “Survival Curve for Cancer Patients Following Treatment,” Journal of the American Statistical Association, 47, 501–515.
  • Cai, C., Zou, Y., Peng, Y., and Zhang, J. (2012a), “smcure: An R-Package for Estimating Semiparametric Mixture Cure Models,” Computer Methods and Programs in Biomedicine, 108, 1255–1260.
  • ______ (2012b), smcure: Fit Semiparametric Mixture Cure Models, R Package Version 2.0.
  • Claeskens, G., and Hjort, N. L. (2008), Model Selection and Model Averaging, Cambridge: Cambridge University Press.
  • Collett, D. (2003), Modelling Survival Data in Medical Research ( Chapman & Hall/CRC Texts in Statistical Science, 2nd ed.), Boca Raton, FL: CRC Press.
  • Cortese, G., and Andersen, P. K. (2010), “Competing Risks and Time-Dependent Covariates,” Biometrical Journal, 52, 138–158.
  • Cox, D., and Oakes, D. (1984), Analysis of Survival Data ( Chapman & Hall/CRC Monographs on Statistics & Applied Probability), Boca Raton, FL: Taylor & Francis.
  • Crook, J., and Bellotti, T. (2010), “Time Varying and Dynamic Models for Default Risk in Consumer Loans,” Journal of the Royal Statistical Society, Series A, 173, 283–305.
  • Danilov, D., and Magnus, J. R. (2004), “On the Harm That Ignoring Pretesting Can Cause,” Journal of Econometrics, 122, 27–46.
  • De Leonardis, D., and Rocci, R. (2014), “Default Risk Analysis via a Discrete-Time Cure Rate Model,” Applied Stochastic Models in Business and Industry, 30, 529–543.
  • Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), “Maximum Likelihood From Incomplete Data via the em Algorithm,” Journal of the Royal Statistical Society, Series B, 39, 1–38.
  • Dirick, L., Claeskens, G., and Baesens, B. (2015), “An Akaike Information Criterion for Multiple Event Mixture Cure Models,” European Journal of Operational Research, 241, 449–457.
  • Divino, J. A., and Rocha, L. C. S. (2013), “Probability of Default in Collateralized Credit Operations,” The North American Journal of Economics and Finance, 25, 276–292.
  • Farewell, V. T. (1982), “The Use of Mixture Models for the Analysis of Survival Data With Long-Term Survivors,” Biometrics, 38, 1041–1046.
  • Fisher, L. D., and Lin, D. Y. (1999), “Time-Dependent Covariates in the Cox Proportional-Hazards Regression Model,” Annual Review of Public Health, 20, 145–157.
  • Fox, J. (2002), “Cox Proportional-Hazards Regression for Survival Data,” in An R and S-PLUS Companion to Applied Regression, Thousand Oaks, CA: Sage, pp. 1–18.
  • Fox, J., and Carvalho, M. S. (2012), “The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis,” Journal of Statistical Software, 49, 1–32.
  • Hosmer, D. W., Lemeshow, S., and May, S. (2008), Applied Survival Analysis: Regression Modelling of Time to Event Data (2nd ed.), Hoboken, NJ: Wiley-Interscience.
  • Kalbfleisch, J., and Prentice, R. (2002), The Statistical Analysis of Failure Time Data (2nd ed.), Hoboken, NJ: Wiley.
  • Kuk, A., and Chen, C. (1992), “A Mixture Model Combining Logistic Regression With Proportional Hazards Regression,” Biometrika, 79, 531–541.
  • Meng, X.-L., and Rubin, D. B. (1991), “Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm,” Journal of the American Statistical Association, 86, 899–909.
  • Narain, B. (1992), “Survival Analysis and the Credit Granting Decision,” in Credit Scoring and Credit Control, eds. L. C. Thomas, J. N. Crook, and D. B. Edelman, Oxford: Clarendon Press, pp. 109–121.
  • NBB (2015), “National Bank of Belgium: Database With Macro-Economic Factors,” available at http://stat.nbb.be.
  • Peng, Y. (2003), “Fitting Semiparametric Cure Models,” Computational Statistics & Data Analysis, 41, 481–490.
  • Peng, Y., and Dear, K. (2000), “A Nonparametric Mixture Model for Cure Rate Estimation,” Biometrics, 56, 227–236.
  • R Core Team (2013), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing.
  • Stepanova, M., and Thomas, L. (2002), “Survival Analysis Methods for Personal Loan Data,” Operations Research Quarterly, 50, 277–289.
  • Sy, J., and Taylor, J. (2000), “Estimation in a Cox Proportional Hazards Cure Model,” Biometrics, 56, 227–236.
  • Therneau, T. M. (2014), A Package for Survival Analysis in S, R Package Version 2.37-7.
  • Tong, E. N. C., Mues, C., and Thomas, L. C. (2012), “Mixture Cure Models in Credit Scoring: If and When Borrowers Default,” European Journal of Operational Research, 218, 132–139.
  • Van Gestel, T., and Baesens, B. (2008), Credit Risk Management : Basic Concepts: Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital, Oxford: OUP.
  • Watkins, J. G. T., Vasnev, A. L., and Gerlach, R. (2014), “Multiple Event Incidence and Duration Analysis for Credit Data Incorporating Non-Stochastic Loan Maturity,” Journal of Applied Econometrics, 29, 627–648.
  • Yakovlev, A. Y., Asselain, B., Bardou, V., Fourquet, A., Hoang, T., Rochefediere, A., and Tsodikov, A. (1993), “A Simple Stochastic Model of Tumor Recurrence and Its Application to Data on Premenopausal Breast Cancer,” Biometrie et Analyse de données Spatio-Temporelles, 12, 66–82.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.