Application of Statistical Models for Default Probability of Loans in Mortgage Companies

  • Jung, Jin-Whan (Analytical Consultant, SAS Institute, Cary, NC 27513)
  • Published : 2000.08.01

Abstract

Three primary interests frequently raised by mortgage companies are introduced and the corresponding statistical approaches for the default probability in mortgage companies are examined. Statistical models considered in this paper are time series, logistic regression, decision tree, neural network, and discrete time models. Usage of the models is illustrated using an artificially modified data set and the corresponding models are evaluated in appropriate manners.

Keywords

References

  1. Discrete-Time Methods for the Analysis of Event Histories in Sociological Methodology, 1982 Allison, P.D.;S Leinhardt(ed.)
  2. Survival Analysis Using the SAS System Allison, P.D.
  3. Neural Networks for Pattern Recognition Bishop, C.M.
  4. Classification and Regression Tree Breiman, L.;Friedman, J.H.;Olshen, R.A.;Stone, C.J.
  5. Journal of American Statistics Association v.78 Estimating the Error Rate of a Prediction Rule : Improvement on Crossvalidation Efron, B.
  6. Applied Statistics v.29 An exploratory Technique for Investigating Large Quantities of Categorical Data Kass, G.V.
  7. Generalized Linear Models(2nd ed.) McCullagh P.;Nelder, J.A.
  8. C4.5 : Programs for Machine Learning Quinlan, J.R.
  9. Pattern Regognition and Neural Networks Ripley B.D.
  10. Proceedings of the nineteenth Annual SAS User Group International Conference Neural Networks and Statistical Models Sarle, W.S.
  11. SAS/ETS User's Guide, Version 6(2nd ed.) SAS Institute Inc
  12. SAS/STAT Change and Enhancement, User's Guide, Version 6.12 SAS Institute Inc
  13. Applying Data Mining Techniques using Enterprise Miner for version 4 SAS Institute Inc
  14. Categorical Data Analysis Using the SAS System Stokes, M.;Davis, C.;Koch, G.