| Description |
xvii, 357 pages : illustrations ; 26 cm |
| Series |
Wiley & SAS business series |
|
Wiley and SAS business series.
|
| Contents |
Credit access and credit risk -- Methodology and elements of risk and compliance intelligence -- Analytic process initiation -- Loan pricing analysis -- Regression analysis for compliance testing -- Alternative credit risk models -- Multi-layered segmentation -- Model validation |
| Summary |
"Fair Lending Compliance: Intelligence and Implications for Credit Risk Management explores the overlap between fair lending and credit risk in order for lenders to provide greater and more affordable access to credit while operating within acceptable risk/return thresholds. With coverage of fair lending compliance specific to consumer and small business credit risk management, this innovative and timely work shows how various groups and organizations, as well as forward-thinking risk officers, can work to close the information gap for millions of Americans by maximizing the value of emerging nontraditional data sets for their institutions." "Written for corporate executives, loan officers, compliance and credit risk managers, and information technology professionals, as well as lawyers, legislators, federal and state regulators, researchers, and academics." |
|
"Fair Lending Compliance provides coverage of traditional approaches coupled with several pioneering breakthroughs in methodology and technology that can enable all stakeholders to gain a broader and deeper understanding of fair lending analysis and develop more effective, more efficient, and better coordinated compliance self-assessment programs and credit risk management systems."--BOOK JACKET |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Credit -- United States -- Management.
|
|
Risk management -- United States.
|
|
Bank loans.
|
| Author |
Zhang, Mingyuan, 1960-
|
| LC no. |
2007026259 |
| ISBN |
9780470167762 (cloth) |
|
