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List of Figures xii
List of Tables xiii
Preface xiv
Acknowledgements xvi
Consumer Credit Management: An Introduction 1
Who should read this book? 1
Structure and content 1
The nature of consumer credit agreements 2
Credit granting institutions 8
The five phase credit model 10
The role of credit management 12
Chapter summary 13
Organizational Matters 15
The business functions required for credit management 15
Strategy functions 16
Operational functions 18
Corporate functions 20
Structural orientation 21
Legislative principles 24
Transparency and disclosure 24
Use of personal data 25
Discrimination 25
Collections and debt recovery action 25
Asset seizure and bankruptcy (personal insolvency) 25
Cancellation rights (right of rescission) 26
Linked transactions 26
Maximum interest rate 26
Ethical aspects of credit management 27
Lessons from history 28
Credit - not just another consumer product 28
Whose responsibility is debt? 29
Chapter summary 31
Marketing 32
Product design 32
Primary features 33
Secondary features 37
Brand features 38
Product strategy 38
Market intelligence 41
Competitor intelligence 44
Data analysis 44
Decision analysis 45
The cost of providing credit 47
Determining the offer 48
Promotional strategy 49
Communication channels 49
Direct marketing 50
Campaign costs, response cost and cost per conversion 51
Campaign management and the prospects database 52
Inbound communications 54
Resource issues 55
Chapter summary 55
Predicting Consumer Behaviour 57
Scoring 58
Segmentation 63
Which is best: scoring or segmentation? 66
Other dimensions of customer behaviour 66
Risk pre-screening (credit scoring) models of repayment default 67
Using response and risk pre-screening models in combination 69
Multi-dimensional models of behaviour 71
Customer lifetime value 72
Chapter summary 72
Customer Acquisition 74
Application processing systems 75
The data management unit 77
The decision engine 78
The evolution of decision engines 80
The customer acquisition process 81
Obtaining application details 81
Preliminary assessment of creditworthiness 85
Obtaining a credit report 86
Final assessment of creditworthiness 88
Setting the terms of business (product features) 91
Account opening and access to funds 92
Variations on the standard process 92
Pre-approval 93
Multi-product processing 94
Multi-applicant processing 94
Strategies for setting terms of business 95
Shadow limits 97
Affordability 98
Optimizing the terms of business - champion/challenger 99
Beyond champion/challenger 101
Chapter summary 101
Customer Management 103
Operational management 104
The account management system 104
Account cycling and statement production 105
Card networks 107
The customer interface 109
Relationship management 110
Account level management 111
Product level management 112
Customer level management 113
Retention and attrition 114
Chapter summary 117
Collections (Early Stage Delinquency) 118
Preliminary assessment of delinquency 119
Mainstream collections processing 121
Over-limit accounts 125
The use of credit reports in collections 125
Managing customer contact and payment negotiation 126
Designing, assessing and optimizing collections strategies 127
Event driven collections strategies 129
Chapter summary 130
Debt Recovery (Late Stage Delinquency) 131
The debt recovery department 131
Power dialer based debt recovery systems 133
Goneaways and address tracing 134
Legal action 134
Debt collection agencies and debt sale 135
Write-off 136
Chapter summary 136
Fraud 138
Acquisition fraud 139
First party fraud 139
Identity theft 140
Falsified identity 141
Card interception 141
Conversion fraud 141
Dealing with suspect fraud 141
Customer management fraud 142
Compromised security 142
Account takeover 143
Detecting and dealing with suspected fraud 143
Chapter summary 144
Provision, Capital Requirements and Basel II 146
Provision 146
Roll rate models of provision 148
Advanced models of provision 150
International accounting standard (IAS39) 151
Capital requirements and Basel II 152
What is capital? 154
Assets, risk and risk weighted assets 154
The capital ratio 155
Credit risk 155
The standardized approach 155
The foundation IRB approach 156
The advanced IRB approach 158
Chapter summary 158
Predictive Models of Consumer Behaviour 160
Problem formulation 160
Data sets and sampling 160
Data pre-processing 161
Exclusions, data cleaning and new variable creation 161
Formatting of the independent variables 162
Variable selection 164
Methods of model construction 165
Discriminant analysis 165
Linear regression 166
Logistic regression 166
Survival analysis 167
Neural networks 168
Classification and Regression Trees (CART) 169
Alternative methods 171
Assessing model performance 171
K-S statistic and GINI statistic 172
Comparison of alternative modelling techniques 174
Reject inference 175
Reject acceptance 175
Augmentation 175
Iterative reclassification 176
Data substitution 176
Assessment of reject inference 177
Continuous models of customer behaviour 177
Implementation and monitoring 179
US and UK Legislation 181
Recommended Reading 186
Notes 188
Bibliography 196
Index 202
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