Consumer credit models: Pricing, profit and portfolios

Consumer Credit Models: Pricing, Profit and Portfolios

Volumn , Issue , 2009, Pages 1-400

  Thomas, Lyn C ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Basel accord; Consumer lending; Credit scoring; Portfolio level credit risk; Pricing; Profitability; Scoring systems

Indexed keywords

EID: 84921600877     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780199232130.001.1     Document Type: Book

References (81)

1. Allison P.D. (1999), Logistic Regression using the SAS system: Theory and Applications, SAS Publications.
2. Altman E.I. (1968), Financial ratios, discriminant analysis and the prediction of corporate bankruptcy, The Journal of Finance 23, 589-609.
3. Altman E., Resti A., Sironi A. (2005a), Recovery Risk, Risk Books, London.
4. Altman E.I., Brady B., Resti A., Sironi A. (2005b), The link between default and recovery rates; theory, empirical evidence and implications, Journal of Business 78, 2203-2222.
5. Anderson D.R., Sweeney D.J., Williams T.A. (2002), Introduction to Management Science: A Quantitative Approach to Decision Making, Thomson South Western, Mason, Ohio.
6. Anderson R. (2007), The Credit Scoring Toolkit Theory and Practice for Retail Credit Risk Management and Decision Automation, Oxford University Press, Oxford.
7. Anderson T.W., Goodman L.A. (1957), Statistical inference about Markov chains, Annals of Mathematical Statistics 28, 89-109.
8. Andrade F.W.M., Thomas L.C. (2007), Structural models in consumer credit, European Journal of Operational Research 183, 1569-1581.
9. Bamber D. (1975), The area above the ordinal dominance graph and the area below the receiver operating characteristic graph, Journal of Mathematical Psychology 12, 387-415.
10. Banasik J., Crook J.N., Thomas L.C. (1999) Not if but when borrowers default, Journal of Operational Research Society 50, 1185-1190.
11. Basel Committee on Banking Supervision (BCBS) (2005, comprehensive version 2006), International Convergence of Capital Measurement and Capital Standards-A Revised Framework, Bank for International Settlements, Basel.
12. Bennett R.L., Catarineu E., Moral G. (2005), Loss Given Default Validation, Studies on the Validation of Internal Rating Systems, Working Paper 14, Basel Committee on Banking Supervision, Basel, pp. 60-76.
13. Bierman H., Hausman W.H. (1970) The credit granting decision, Management Science 16, 519-532.
14. Black F., Cox J.C. (1976), Valuing corporate securities. Some effects of bond indenture provisions, Journal of Finance 31, 351-368.
15. Bozzetto J.-F., Tang L., Thomas S., Thomas L.C. (2005), Modelling the Purchase Dynamics of Insurance Customers using Markov Chains, Discussion Paper CORMSIS-05-02, School of Management, University of Southampton, Southampton.
16. Breiman L. (2001), Random forests, Machine Learning 45, 5-32.
17. Breiman L., Friedman J.H., Olshen R.A., Stone C.J. (1984), Classification and Regression Trees, Wadsworth, Belmont, California.
18. Breslow N. (1974), Covariance analysis of censored survival data, Biometrics 30, 89-99.
19. Cappe O., Moulines E., Ryden T. (2005), Inference in Hidden Markov Models, Springer, Heidelberg.
20. Chava S., Jarrow R. A. (2004), Bankruptcy failure with industry effects, Review of Finance 8, 532-569.
21. Clayton D. (1978), A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence, Biometrika 65, 141-151.
22. Cox D.R. (1972), Regression models and life tables (with discussion), Journal of Royal Statistical Society Series B, 187-220.
23. Crook J.N., Banasik J. (2004), Does reject inference really improve the performance of application scoring models? Journal of Banking and Finance 28, 857-874.
24. Durand D. (1941), Risk Elements in Consumer Installment Financing, National Bureau of Economic Research, New York.
25. Edgeworth F.Y. (1881), Mathematical Psychics: An Essay on the Application of Mathematics to the Moral Sciences, Kegan Paul & Co., pp. viii, 150.
26. Efron B. (1977), The efficiency of Cox's likelihood function for censored data, Journal of American Statistical Association 72, 557-565.
27. Elizalde A. (2005), Credit Risk Models III; Reconciliation Structural-Reduced Models, www.abelelizalde.com
28. Feelders A.J. (2000), Credit scoring and reject inference with mixture models, International Journal of Intelligent Systems in Accounting, Finance and Management 9, 1-8.
29. Fisher R.A. (1936), The use of multiple measurements in taxonomic problems, Annals of Eugenics 7, 179-188.
30. Freed N., Glover F. (1981a) A linear programming approach to the discriminant problem, Decision Sciences 12, 68-74.
31. Freed N., Glover F. (1981b) Simple but powerful goal programming formulations for the discriminant problem, European Journal of Operational Research 7, 44-60.
32. Freed N., Glover F. (1986a), Evaluating alternative linear programming models to solve the two-group discriminant problem, Decision Sciences 17, 151-162.
33. Freed N., Glover F. (1986b), Resolving certain difficulties and improving classification power of LP discriminant analysis formulations, Decision Sciences 17, 589-595.
34. Frydman H. (1984), Maximum likelihood estimation in the Mover-Stayer model, Journal of American Statistical Association 79, 632-638.
35. Frydman H., Kallberg J.G., Kao D.-L. (1985), Testing the adequacy of Markov chains and Mover-Stayer models as representations of credit behaviour, Operations Research 33, 1203-1214.
36. Gelfand I.M., Fomin, S.V. (2000), Calculus of Variations, Dover, Mineola, New York.
37. Gordy M.B. (2003), A risk factor model foundation for ratings-based bank capital rules, Journal of Financial Intermediation 3, 199-232.
38. Guo X., Jarrow R.A., Zeng Y. (2005), Information Reduction in Credit Risk Models, Working Paper, School of Operations Research and Industrial Engineering, Cornell University, Ithaca.
39. Hand D.J., Henley W.E. (1993), Can reject inference ever work? IMA Journal of Mathematics Applied in Business and Industry 5, 45-55.
40. Hand D.J., Kelly M.G. (2001), Look ahead scorecards for new fixed term credit products, Journal of the Operational Research Society 52, 989-996.
41. Heitfeld E.A. (2005), Dynamics of Rating Systems, Studies on the Validation of Internal Rating Systems, Working Paper 14, Basel Committee on Banking Supervision, Basel, pp. 10-20.
42. Ho J., Pomrey T.A., Scherer W.T., Thomas L.C. (2004), Segmenting in Markov chain consumer behaviour models, in Readings in Credit Scoring, Eds. L.C. Thomas, D.B. Edelman, J.N. Crook, Oxford University Press, Oxford, pp. 295-307.
43. Hosmer D.W., Lemeshow S. (1980), A goodness of fit test for the multiple logistic regression model, Communications in Statistics A10, 1043-1069.
44. Hosmer D.W., Lemeshow S. (1989, 2000 2nd edition), Applied Logistic Regression, Wiley, New York.
45. Hosmer D.W., Lemeshow S. (1998), Applied Survival Analysis, Wiley, New York.
46. Jarrow R.A., Lando D., Turnbul S. (1997), A Markov model for the term structure of credit risk spreads, Review of Financial Studies 10, 481-523.
47. Jarrow R.A., Turnbull S. (1995), Pricing derivatives on financial securities subject to credit risk, Journal of Finance 50, 53-86.
48. Jung K.M., Thomas L.C. (2008), A note on coarse classifying in acceptance scoring, Journal of Operational Research Society 59, 714-718.
49. Kalbfleisch J.D., Prentice R.L. (1980), The Statistical Analysis of Failure Time Data, Wiley, New York.
50. Kaplan E.L., Meier P. (1958), Nonparametric estimation from incomplete observations, Journal of American Statistical Association 53, 457-481.
51. Keeney R.L., Oliver R.M. (2005), Designing win-win financial loan products for consumers and businesses, improving lender offers using consumer preferences, Journal of Operational Research Society 56, 1030-1040.
52. Kullback S., Leibler R.A. (1951), On information and sufficiency, Annals of Mathematical Statistics 22, 79-86.
53. Lewis E. M. (1992), An Introduction to Credit Scoring, Athena Press, San Rafael, California.
54. Longstaff F.A., Schwartz E.S. (1995), A simple approach to valuing risky fixed and floating rate debt, Journal of Finance 50, 789-819.
55. Malik M., Thomas L.C. (2007), Modelling Credit Risk of Portfolio of Consumer Loans, Working Papers CORMSIS 07-07, Centre for Operational Research, Management Science, and Information Systems, School of Management, University of Southampton, Southampton.
56. Markowitz H.M. (1952), Portfolio selection, Journal of Finance 7, 77-91.
57. Matuszyk A., Mues C., Thomas L.C. (2007), Modelling LGD for Unsecured Personal Loans; Decision Tree Approach, Working Paper CORMSIS 07-07, School of Management, University of Southampton, Southampton.
58. Mays E. (1998), Credit Risk Modeling, Design and Application, Fitzroy Dearborn publishers, Chicago.
59. Mays E. (2004), Credit Scoring for Risk Managers, The Handbook for Lenders, Thomson South Western, Mason, Ohio.
60. McNab H., Wynn A. (2000), Principles and Practice of Consumer Credit Risk Management, CIB Publishing, Canterbury.
61. Merton R.C. (1974), On the pricing of corporate debt: the risk structure of interest rates, Journal of Finance 29, 449-470.
62. Mizen P. (2002), Consumer Credit and Outstanding Debt in Europe, Opening Address, Joint Workshop between Chair in Finance and Consumption (EVI) and ET CEM Centre, Nottingham, and EVI, Florence.
63. Oliver R.M., Thomas L.C. (2005), Optimal Score Cut-offs and Regulatory Capital in Retail Credit Portfolios, Working Paper, School of Management, University of Southampton, Southampton.
64. Phillips R.L. (2005), Pricing and Revenue Optimization, Stanford Business Books, Stanford, California.
65. Puterman M.L. (1994), Markov Decision Processes, Wiley, New York.
66. Pye G. (1974), Gauging the default process, Financial Analysts Journal January-March, 49-52.
67. Quinlan J.R. (1993), C4.5: Programs for Machine Learning, Morgan Kaufman, San Mateo, California.
68. Safavian R., Landgrebe D. (1991), A survey of decision tree classifier methodology, IEEE Transactions on Systems, Man, and Cybernetics 21, 660-674.
69. Siddiqi N. (2005), Credit Risk Scorecards, Developing and Implementing Intelligent Credit Scoring, Wiley, New York.
70. Stepanova M., Thomas L.C. (2002), Survival analysis methods for personal loan data, Operations Research 50, 277-289.
71. Stepanova M., Thomas L.C. (2001), PHAB scores: proportional hazards analysis behavioural scores, Journal of Operational Research Society 52, 1007-1016.
72. Tasche D. (2005), Rating and Probability of Default Validation, Studies on the Validation of Internal Rating Systems, Working Paper 14, Basel Committee on Banking Supervision, Basel, pp. 25-59.
73. Thomas L.C. (1992), Financial risk management models, in Risk Analysis, Assessment and Management, Eds. J. Ansell, F. Wharton, Wiley, Chichester.
74. Thomas L.C., Crook J.N., Edelman D.B. (1992), Credit Scoring and Credit Control, Oxford University Press, Oxford.
75. Thomas L.C., Edelman D.B., Crook J.N. (2002), Credit Scoring and its Applications, SIAM, Philadelphia.
76. Thomas L.C., Edelman D.B., Crook, J.N. (2004), Readings in Credit Scoring, Oxford University Press, Oxford.
77. Thomas L.C., Jung K.M., Thomas, S.D.A., Wu Y. (2006), Modelling consumer acceptance probabilities, Expert Systems and their Applications 30, 507-518.
78. Trench M.S., Pederson S.P., Lau E.T., Ma L., Wang H., Nair S.K. (2003), Managing credit lines and prices for Bank One credit cards, Interfaces, 33, 4-21.
79. Vasicek O.A. (1987), Probability of Loss on Loan Portfolio, KMV Corporation. San Francisco.
80. Vasicek O.A. (2002), Loan portfolio value, Risk December, 160-162.
81. Von Neumann J., Morgernstern O. (1944), Theory of Games and Economic Behaviour, Princeton University Press, Princeton.