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公平放贷:信贷风险管理Fair Lending Compliance : Intelligence and Implications for Credit Risk Management书籍详细信息

  • ISBN:9780470167762
  • 作者:暂无作者
  • 出版社:暂无出版社
  • 出版时间:2008-01
  • 页数:357
  • 价格:484.00
  • 纸张:胶版纸
  • 装帧:精装
  • 开本:16开
  • 语言:未知
  • 丛书:暂无丛书
  • TAG:暂无
  • 豆瓣评分:暂无豆瓣评分

内容简介:

  Praise for

Fair 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

书籍目录:

Foreword

Preface

1 Credit Access and Credit Risk

 Enterprise Risk Management

 Laws and Regulations

 Changing Markets

 Prepare for the Challenges

 Return on Compliance

 Appendix 1A: Taxonomy of Enterprise Risks

 Appendix 1B: Making the Business Case

2 Methodology and Elements of Risk and Compliance Intelligence

 Role of Data in Fair Lending Compliance Intelligence

 Sampling

 Types of Statistical Analysis

 Compliance Self-Testing Strategy Matrix

 Credit Risk Management Self-Testing Strategy Matrix

 Matching Appropriate Statistical Methods to Regulatory Examination Factors

 Case for a Systematic Approach

 Summary

 Appendix 2A: FFIEC Fair Lending Examination Factors within Seven Broad Categories

3 Analytic Process Initiation

 Universal Performance Indicator

 Overall Framework

 Define Disparity

 Derive Indices

 Generate Universal Performance Indicator

 Performance Monitoring

 Summary

 Appendix 3A: UPI Application Example: Liquidity Risk Management

4 Loan Pricing Analysis

 Understanding Loan Pricing Models

 Systematic Pricing Analysis Process

 Overage/Underage Analysis

 Overage/Underage Monitoring Overview

 Summary

 Appendix 4A: Pricing Analysis for HMDA Data

 Appendix 4B: Pricing and Loan Terms Adjustments

 Appendix 4C: Overage/Underage Data Model (Restricted to Input Fields, by Category)

Appendix 4D: Detailed Overage/Underage Reporting

 Appendix 4E: Sample Size Determination

 Regression Analysis for Compliance Testing

 Traditional Main-Effects Regression Model Approach

 Dynamic Conditional Process

 DCP Modeling Framework

 DCP Application: A Simulation

 Summary

 Appendix 5A: Illustration of Bootstrap Estimation

6 Alternative Credit Risk Models

Credit Underwriting and Pricing

 Overview of Credit Risk Models

 Hybrid System Construction

 Hybrid System Maihtenance

 Hybrid Underwriting Models with Traditional Credit Information

 Hybrid Underwriting Models with Nontraditional Credit

 Information

 Hybrid Models and Override Analysis

 Summary

 Appendix 6A: Loan Underwriting with Credit Scoring

 Appendix 6B: Log-Linear and Logistic Regression Models

 Appendix 6C: Additional Examples of Hybrid Models with Traditional Credit

 Information 

 Appendix 6D: General Override Monitoring Process

7 Multilayered Segmentation

 Segmentation Schemes Supporting Integrated Views

 Proposed Segmentation Approach

 Applications

 Summary

 Appendix 7A: Mathematical Underpinnings of BSM

 Appendix 7B: Data Element Examples for Dynamic Relationship Pricing Example

8 Model Validation

Index

作者介绍:

  Clark Abrahams is the Director for Fair Banking at SAS, where he leads business and product development. He has over thirty years of experience in the financial services industry, at corporations including Bank of Americaand Fair Isaac Corporation.

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Praise for Fair 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

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