Readings in Credit Scoring: Foundations, Developments, and Aims by Lyn C. ThomasReadings in Credit Scoring: Foundations, Developments, and Aims by Lyn C. Thomas

Readings in Credit Scoring: Foundations, Developments, and Aims

byLyn C. Thomas, David B. Edelman, Jonathan Crook

Hardcover | July 21, 2004

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Credit scoring is one of the most successful applications of statistical and management science techniques in finance in the last forty years. This unique collection of recent papers, with comments by experts in the field, provides excellent coverage of recent developments, advances and aimsin credit scoring. Aimed at statisticians, economists, operational researchers and mathematicians working in both industry and academia, and to all working on credit scoring and data mining, it is an invaluable source of reference.
The authors are the ogranisers of the series of International Conferences on Credit Scoring and Credit Control. Lyn C Thomas is a fellow of the Royal Society of Edinburgh, a past president of the Operational Research Society, winner of the Presidents Medal. Jonathan N Crook is a winner of the Goodeve Medal, Operational Society 1999 (...
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Title:Readings in Credit Scoring: Foundations, Developments, and AimsFormat:HardcoverDimensions:456 pages, 9.45 × 6.61 × 0.94 inPublished:July 21, 2004Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198527977

ISBN - 13:9780198527978

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Table of Contents

A: Historical development of credit and behavioural scoringR W Johnson: Legal, social and economic issues in implementing scoring in the USR Eisenbeis: Problems in applying discriminant analysis in credit scoring modelsM A Hopper and E M Lewis: Behaviour scoring and adaptive control systemsB: Objectives and measures in credit scoringA D Wilkie: Measures for comparing scoring systemsG Wilkinson and J Tingay: The use of affordability data - does it add real value?R L Keeney and R M Oliver: Improving lender offers using consumer preferencesC: Practical implementation of scoring systemsA Lucas: Updating scorecards: Removing the mystiqueR M Oliver and E Wells: Efficient frontier cut-off policies in credit portfoliosD: Features of scoringD J Hand and W E Henley: Can reject inference ever work?G A Overstreet Jr, E L Bradley, and R S Kemp Jr: The flat-maximum effect and generic linear scoring models: a testJ N Crook, L C Thomas, and R Hamilton: The degradation of the scorecard over the business cycleG Bennett, G Platts, and J Crossley: Inferring the inferredE: Other applications of scoring in credit riskK J Leonard: Detecting credit card fraud using expert systemsG Platts and I Howe: A single European scorecardA Lucas and J Powell: Small sample scoringF: Alternative approaches to scoring systemsB Narain: Survival analysis and the credit granting decisionP Sewart and J Whittaker: Graphical models in credit scoringM B Yobas, J N Crook, and P Ross: Credit scoring using neural and evolutionary techniquesJ Ho, L C Thomas, T A Pomrey, and W T Scherer: Segmenting in Markov chain consumer credit behaviour models