Classifying Applicants for Fair Lending Analyses PDF Download
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Author: Jason Lynn Dietrich
Publisher:
ISBN:
Category : Bank examination
Languages : en
Pages : 80
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Book Description
Author: Jason Lynn Dietrich
Publisher:
ISBN:
Category : Bank examination
Languages : en
Pages : 80
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Book Description
Author: Jason Dietrich
Publisher: CreateSpace
ISBN: 9781505375619
Category :
Languages : en
Pages : 74
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Book Description
Testing for discrimination in mortgage lending requires classifying consumers into treatment groups and control groups. Although this may seem like a straightforward task, it is actually quite complicated. Home Mortgage Disclosure Act (HMDA) data, the primary source of data for these analyses, contain information on the ethnicity, race, and gender for both primary and coapplicants. In addition, applicants have the option of reporting up to five races. Using these detailed data to construct the standard groups, such as "Black," "Hispanic," and "White," requires subjective decisions on how to appropriately aggregate applications.
Author: Clark R. Abrahams
Publisher: John Wiley & Sons
ISBN: 9780470241899
Category : Business & Economics
Languages : en
Pages : 356
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Book Description
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
Author: Jason Lynn Dietrich
Publisher:
ISBN:
Category : Discrimination in consumer credit
Languages : en
Pages : 44
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Book Description
Author:
Publisher:
ISBN:
Category : Discrimination in housing
Languages : en
Pages : 168
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Book Description
Author: United States. National Credit Union Administration
Publisher:
ISBN: 9780160175572
Category : Credit unions
Languages : en
Pages :
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Book Description
Author: United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 160
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Book Description
Author: United States. Congress. House. Committee on Financial Services. Subcommittee on Oversight and Investigations
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 460
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Book Description
Author: Roman L. Weil
Publisher: John Wiley & Sons
ISBN: 1118722515
Category : Business & Economics
Languages : en
Pages : 110
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Book Description
In the last 20 years, the need for a financial expert to act as a witness and consultant to litigating attorneys has grown even more than litigation itself. Twenty years ago, few certified public accountants or economists offered litigation-related services; now, a large number devote much of their practice to this area. To be litigation service practitioners and accountants need to learn or enhance their litigation skills, including the fine points of their roles in trial preparation and testimony presentation, testimony presentation, deposition, direct examination, cross examination, understanding Sarbanes-Oxley rulings, and fraud investigations.
Author: A Purushotham Reddy
Publisher: A Purushotham Reddy
ISBN:
Category : Computers
Languages : en
Pages : 2066
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Book Description
Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.
