Fair Lending Compliance: Intelligence and Implications for Credit Risk Management (Wiley and SAS Business Series)

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Praise forFair Lending ComplianceIntelligence and Implications for Credit Risk Management"Brilliant and informative. An in-depth look at innovative approaches to credit risk management written by industry practitioners. This publication will serve as an essential reference text for those who wish to make credit accessible to underserved consumers. It is comprehensive and clearly written."--The Honorable Rodney E. Hood"Abrahams and Zhang's timely treatise is a must-read for all those interested in the critical role of credit in the economy. They ably explore the intersection of credit access and credit risk, suggesting a hybrid approach of human judgment and computer models as the necessary path to balanced and fair lending. In an environment of rapidly changing consumer demographics, as well as regulatory reform initiatives, this book suggests new analytical models by which to provide credit to ensure compliance and to manage enterprise risk."--Frank A. Hirsch Jr., Nelson Mullins Riley & Scarborough LLP Financial Services Attorney and former general counsel for Centura Banks, Inc."This book tackles head on the market failures that our current risk management systems need to address. Not only do Abrahams and Zhang adeptly articulate why we can and should improve our systems, they provide the analytic evidence, and the steps toward implementations. Fair Lending Compliance fills a much-needed gap in the field. If implemented systematically, this thought leadership will lead to improvements in fair lending practices for all Americans." --Alyssa Stewart Lee, Deputy Director, Urban Markets Initiative The Brookings Institution"[Fair Lending Compliance]...provides a unique blend of qualitative and quantitative guidance to two kinds of financial institutions: those that just need a little help in staying on the right side of complex fair housing regulations; and those that aspire to industry leadership in profitably and responsibly serving the unmet credit needs of diverse businesses and consumers in America's emerging domestic markets."--Michael A. Stegman, PhD, The John D. and Catherine T. MacArthur Foundation, Duncan MacRae '09 and Rebecca Kyle MacRae Professor of Public Policy Emeritus, University of North Carolina at Chapel Hill

Author(s): C. R. Abrahams, Mingyuan Zhang
Edition: 1
Year: 2008

Language: English
Pages: 384

FAIR LENDING COMPLIANCE......Page 6
0470167769......Page 1
CONTENTS......Page 8
FOREWORD......Page 12
PREFACE......Page 16
ORGANIZATION OF TOPICS......Page 18
WHO CAN BENEFIT FROM THIS BOOK......Page 19
ACKNOWLEDGMENTS......Page 20
CHAPTER 1: CREIDT ACCESS AND CREDIT RISK......Page 24
ENTERPRISE RISK MANAGEMENT......Page 25
LAWS AND REGULATIONS......Page 27
CHANGING MARKETS......Page 29
PREPARE FOR THE CHALLENGES......Page 31
RETURN ON COMPLIANCE......Page 37
Appendix 1A......Page 40
Appendix 1B......Page 41
ROLE OF DATA IN FAIR LENDING COMPLIANCE INTELLIGENCE......Page 46
SAMPLING......Page 52
TYPES OF STATISTICAL ANALYSIS......Page 58
COMPLIANCE SELF-TESTING STRATEGY MATRIX......Page 59
CREDIT RISK MANAGEMENT SELF-TESTING STRATEGY MATRIX......Page 61
MATCHING APPROPRIATE STATISTICAL METHODS TO REGULATORY EXAMINATION FACTORS......Page 65
CASE FOR A SYSTEMATIC APPROACH......Page 66
SUMMARY......Page 67
Appendix 2A......Page 69
UNIVERSAL PERFORMANCE INDICATOR......Page 74
DEFINE DISPARITY......Page 76
DERIVE INDICES......Page 81
GENERATE UNIVERSAL PERFORMANCE INDICATOR......Page 88
PERFORMANCE MONITORING......Page 98
SUMMARY......Page 103
Appendix 3A......Page 106
CHAPTER 4: LOAN PRICING ANALYSIS......Page 108
UNDERSTANDING LOAN PRICING MODELS......Page 110
SYSTEMATIC PRICING ANALYSIS PROCESS......Page 114
OVERAGE/UNDERAGE ANALYSIS......Page 135
OVERAGE/UNDERAGE MONITORING OVERVIEW......Page 146
SUMMARY......Page 148
Appendix 4A......Page 149
Appendix 4B......Page 156
Appendix 4C......Page 160
Appendix 4D......Page 162
Appendix 4E......Page 165
CHAPTER 5: REGRESSION ANALYSIS FOR COMPIANCE TESTING......Page 170
TRADITIONAL MAIN-EFFECTS REGRESSION MODEL APPROACH......Page 171
DYNAMIC CONDITIONAL PROCESS......Page 174
DCP MODELING FRAMEWORK......Page 177
DCP APPLICATION: A SIMULATION......Page 191
SUMMARY......Page 203
Appendix 5A......Page 204
CHAPTER 6: ALTERNATIVE CREDIT RISK MODELS......Page 206
CREDIT UNDERWRITING AND PRICING......Page 207
OVERVIEW OF CREDIT RISK MODELS......Page 208
HYBRID SYSTEM CONSTRUCTION......Page 224
HYBRID SYSTEM MAINTENANCE......Page 239
HYBRID UNDERWRITING MODELS WITH TRADITIONAL CREDIT INFORMATION......Page 245
HYBRID UNDERWRITING MODELS WITH NONTRADITIONAL CREDIT INFORMATION......Page 257
HYBRID MODELS AND OVERRIDE ANALYSIS......Page 260
SUMMARY......Page 271
Appendix 6A......Page 273
Appendix 6B......Page 277
Appendix 6C......Page 278
Appendix 6D......Page 288
SEGMENTATION SCHEMES SUPPORTING INTEGRATED VIEWS......Page 290
PROPOSED SEGMENTATION APPROACH......Page 292
APPLICATIONS......Page 298
SUMMARY......Page 320
Appendix 7A......Page 321
Appendix 7B......Page 324
MODEL VALIDATION FOR RISK AND COMPLIANCE INTELLIGENCE......Page 328
TYPICAL MODEL VALIDATION PROCESS, METHODS, METRICS, AND COMPONENTS......Page 330
AN INTEGRATED MODEL VALIDATION APPROACH......Page 340
CLOSING OBSERVATIONS......Page 367
INDEX......Page 370