Table of Contents
Preface vii
About the Editor ix
Contributors xi
Section I INTRODUCTION .1
1 Scoring Applications
William M. Makuch 3
2 Generic and Customized Scoring Models: A Comparison
Gary G. Chandler 23
3 Using Consumer Credit Information
Maria T. Pincetich and Kristin M. Tobin 57
4 Scorecard Modeling with Continuous vs. Classed Variables
Dennis Ash and Dimitra Vlatsa 71
Section II MODEL DEVELOPMENT. 105
5 The Basics of Scorecard Development and Validation
Elizabeth Mays 89
6 Going Beyond Credit Score: The Development of a Loss Model for the Home Equity Business
Wei Wang 107
7 The Basics of a Better Application Score
William M. Makuch 127
8 Optimal Use of Statistical Techniques
John M. L. Gruenstein 149
9 Data Mining
Allen Jost 185
10 A Multi-Score Approach for Portfolio Management
Tim Lee and Sung Chang Jung 215
11 Reject Inference in Credit Operations
David Hand 225
Section HI SCORE VALIDATION. 241
12 Model Design and Validation: Identifying Potential Sources of
Model Risk
Dennis Glennon 243
13 Measures for Model Validation
Tim Lee 275
14 Evaluating and Monitoring Your Model
Richard Schiffman 285
Section IV MODEL IMPLEMENTATION AND
SCORE MANAGEMENT 301
15 Score-Based Collections Strategies
Peter McAllister and Dana Eng 303
16 Project Management for Credit Scoring
Dana Wiklund 321
17 Successful Implementation—To Be or Not To Be...
Mona Mayr 337