Readings in Credit Scoring
Foundations, Developments, and Aims
Lyn C. Thomas, David B. Edelman, and Jonathan Crook
Table of Contents
A: Historical development of credit and behavioural scoring
Legal, social and economic issues in implementing scoring in the US, R W Johnson
Problems in applying discriminant analysis in credit scoring models, R Eisenbeis
Behaviour scoring and adaptive control systems, M A Hopper and E M Lewis
B: Objectives and measures in credit scoring
Measures for comparing scoring systems, A D Wilkie
The use of affordability data - does it add real value?, G Wilkinson and J Tingay
Improving lender offers using consumer preferences, R L Keeney and R M Oliver
C: Practical implementation of scoring systems
Updating scorecards: Removing the mystique, A Lucas
Efficient frontier cut-off policies in credit portfolios, R M Oliver and E Wells
D: Features of scoring
Can reject inference ever work?, D J Hand and W E Henley
The flat-maximum effect and generic linear scoring models: a test, G A Overstreet Jr, E L Bradley, and R S Kemp Jr
The degradation of the scorecard over the business cycle, J N Crook, L C Thomas, and R Hamilton
Inferring the inferred, G Bennett, G Platts, and J Crossley
E: Other applications of scoring in credit risk
Detecting credit card fraud using expert systems, K J Leonard
A single European scorecard, G Platts and I Howe
Small sample scoring, A Lucas and J Powell
F: Alternative approaches to scoring systems
Survival analysis and the credit granting decision, B Narain
Graphical models in credit scoring, P Sewart and J Whittaker
Credit scoring using neural and evolutionary techniques, M B Yobas, J N Crook, and P Ross
Segmenting in Markov chain consumer credit behaviour models, J Ho, L C Thomas, T A Pomrey, and W T Scherer
