
Consumer Credit Models
Description
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Content
- Intro
- Contents
- Acknowledgements
- 1 Introduction to consumer credit and credit scoring
- 1.1 Introduction: importance and impact of consumer credit
- 1.2 Historical background of default-based credit scoring
- 1.3 Objectives of lenders
- 1.4 Tools for modelling lending decisions: influence diagrams, decision trees, and strategy trees
- 1.5 Probabilities, odds, information, and scores
- 1.6 Modifying scores: scaling, multiple levels, and time dependency
- 1.7 Lending returns and costs
- 1.8 Fundamentals of scorecard building
- 1.9 Using logistic regression to build scorecards
- 1.10 Other scorecard-building approaches
- 2 Measurement of scoring systems
- 2.1 Measuring scorecard quality
- 2.2 Discrimination measures: divergence, Kolmogorov-Smirnov statistic, and D-concordance statistic
- 2.3 ROC curve and Gini coefficient
- 2.4 Scorecard segmentation and measuring its impact on discrimination
- 2.5 Calibration measures of scorecard probability predictions
- 2.6 Measures of the correctness of categorical prediction
- 3 Risk-based pricing
- 3.1 Variable pricing in consumer lending
- 3.2 Risk-free response rate function and optimal pricing
- 3.3 Risk response relationship, adverse selection, and affordability
- 3.4 Risk-based response function and risk-based pricing
- 3.5 Acceptance scoring for multi-feature offers
- 3.6 A borrower-lender game model for pricing
- 4 Profit scoring and dynamic models
- 4.1 Behavioural scoring and dynamic account management
- 4.2 Profit scoring, risk/reward matrices to customer behaviour dynamics
- 4.3 Markov chain models of account behaviour
- 4.4 Markov decision process models of profitability
- 4.5 Survival analysis-based scoring systems and default estimation
- 4.6 Survival analysis-based profit models, including attrition and prepayment
- 5 Portfolio credit risk and the Basel Accord
- 5.1 Portfolio credit risk
- 5.2 Economic and regulatory capital
- 5.3 Summary of Basel Capital Accords
- 5.4 Basel II regulations and their impact on credit scoring
- 5.5 Regulatory capital and optimal cut-off policies
- 5.6 Modelling credit risk for portfolios of consumer and corporate loans
- 5.7 Basel stress testing of consumer portfolios: static and dynamic approaches
- Appendices
- A: Scores and runbook example
- B: Southampton bank application data
- References
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- Y
- Z
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