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Product details:
- Publisher OUP Oxford
- Date of Publication 8 July 2004
- ISBN 9780198527978
- Binding Hardback
- No. of pages338 pages
- Size 247x173x23 mm
- Weight 730 g
- Language English
- Illustrations numerous line drawings 0
Categories
Short description:
A collection of papers, accompanied by extensive discussion and commentary, by leading workers in credit scoring, this text focuses on recent developments and advances in this important area.
MoreLong description:
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 aims in 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.
MoreTable of Contents:
A: Historical development of credit and behavioural scoring
Legal, social and economic issues in implementing scoring in the US
Problems in applying discriminant analysis in credit scoring models
Behaviour scoring and adaptive control systems
B: Objectives and measures in credit scoring
Measures for comparing scoring systems
The use of affordability data - does it add real value?
Improving lender offers using consumer preferences
C: Practical implementation of scoring systems
Updating scorecards: Removing the mystique
Efficient frontier cut-off policies in credit portfolios
D: Features of scoring
Can reject inference ever work?
The flat-maximum effect and generic linear scoring models: a test
The degradation of the scorecard over the business cycle
Inferring the inferred
E: Other applications of scoring in credit risk
Detecting credit card fraud using expert systems
A single European scorecard
Small sample scoring
F: Alternative approaches to scoring systems
Survival analysis and the credit granting decision
Graphical models in credit scoring
Credit scoring using neural and evolutionary techniques
Segmenting in Markov chain consumer credit behaviour models
