Does Credit Scoring Produce a Disparate Impact? PDF Download
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Author: Robert B. Avery
Publisher: DIANE Publishing
ISBN: 1437980201
Category :
Languages : en
Pages : 52
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Book Description
Author: Robert B. Avery
Publisher: DIANE Publishing
ISBN: 1437980201
Category :
Languages : en
Pages : 52
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Book Description
Author: Lauri Kai
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
This Note analyzes the effects of machine learning in the lending context and argues that the existing legal framework can address unintentional discrimination that may result from credit-scoring models developed through machine learning. Potential liability stems from increased complexity of machine-learning processes; as machine-learning algorithms become more sophisticated, it becomes more difficult to explain the results they produce. Under current law, the inability to reasonably explain or even discover the correlations between data inputs and the resulting disparate impact leaves the lender vulnerable to suit for unintentional discrimination.
Author: United States. Congress. House. Committee on Financial Services. Subcommittee on Financial Institutions and Consumer Credit
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
Author: Mba MDIV David
Publisher: Trade Culture
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This story transcends the globe to penetrate the core of financial systems and untangle the mystery of credit score and wealth management beyond numerical digits. It is an informative insight into the credit score system and its deep-rooted implications on personal finance. This book seeks to provide readers with an insightful analysis that defies what people perceive as common assumptions about this subject. The tour commences with an introduction to the historical relevance of credit scores, from when they started until their use has been attained today. The readers move through the early chapters forced to face one of the most paradoxical relationships between debt and financial health, with results in treating an amassing ind limit indebtedness as a means whereby one attains a higher credit score, thus appearing as though they are indeed prosperous financially suckering them into falling into another trap. Using compelling case studies, the story discloses the irony and reverse expectations about credit scores to reveal that while a consumer rating system seems universal, its results change from society to society. The book reveals how grim credit scores can be in the porcelain industry, but to USA citizens, it becomes more like a curse, not a blessing, as we shall see in the following details. It evaluates the details of credit reporting agencies, transparent scoring algorithms, and harmful impacts on individuals' financial lives due to mistakes. This creates a background for a general analysis of how debt has been institutionalized as part and parcel of business ventures, preferring lenders to be the upper hand so that credit card companies enjoy fiscal gains while the population remains unpaid. First-person stories of the captives who embraced the chase for an impressive credit score revealed talks on the psychological aspect of hefty debt. It is a severe analysis of the extent to which credit scores determine life chances and how it continues social hierarchies. This aspect, once again, makes readers rethink their levels and values even in light of supposedly seemingly insignificant matters such as credit scoring. In the book, however, as it moves forward, it evolves towards new alternative ways of looking at financial health where savings and responsible spending are championed over easy access to lines of credit. It highlights the role of financial literacy, demonstrating people who reached an actual state of economic well-being-stable income and quality lifestyle due to conscious spending. People's mindset toward consumption is the chief key to success found by this documentary for each individual and nation that wants to be built successfully in any corner of the world. In its last two chapters, Credit Irony promotes systemic changes to credit score schemes like more accountability of manufacturing instructions on the revelation ground, which means it should expose one's working capacity entirely. The irony depicts a race between reform and obliteration-the old cardboard piracy has been so tradeable that no discussion is possible. At the same time, It addresses the notion of what the contribution of government and regulatory bodies could be when it comes to creating necessary changes that will lead toward an impartial credit scoring system benefiting all. The final chapters are a wake-up call. They provide people with a hands-on gist, helping them manage their money healthily and at the same time without letting their credit score determine what strategy they have to use. By skewing the debt-to-income ratio theory and providing the reader with the necessary resources for better money literacy skills, the book prepares readers to create a more valuable partnership with credit and loans.
Author: Stephen L. Ross
Publisher: MIT Press
ISBN: 9780262264334
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
An analysis of current findings on mortgage-lending discrimination and suggestions for new procedures to improve its detection. In 2000, homeownership in the United States stood at an all-time high of 67.4 percent, but the homeownership rate was more than 50 percent higher for non-Hispanic whites than for blacks or Hispanics. Homeownership is the most common method for wealth accumulation and is viewed as critical for access to the most desirable communities and most comprehensive public services. Homeownership and mortgage lending are linked, of course, as the vast majority of home purchases are made with the help of a mortgage loan. Barriers to obtaining a mortgage represent obstacles to attaining the American dream of owning one's own home. These barriers take on added urgency when they are related to race or ethnicity. In this book Stephen Ross and John Yinger discuss what has been learned about mortgage-lending discrimination in recent years. They re-analyze existing loan-approval and loan-performance data and devise new tests for detecting discrimination in contemporary mortgage markets. They provide an in-depth review of the 1996 Boston Fed Study and its critics, along with new evidence that the minority-white loan-approval disparities in the Boston data represent discrimination, not variation in underwriting standards that can be justified on business grounds. Their analysis also reveals several major weaknesses in the current fair-lending enforcement system, namely, that it entirely overlooks one of the two main types of discrimination (disparate impact), misses many cases of the other main type (disparate treatment), and insulates some discriminating lenders from investigation. Ross and Yinger devise new procedures to overcome these weaknesses and show how the procedures can also be applied to discrimination in loan-pricing and credit-scoring.
Author: United States. Congress. House. Committee on Financial Services. Subcommittee on Oversight and Investigations
Publisher:
ISBN:
Category : Credit ratings
Languages : en
Pages : 264
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Book Description
Author: Tracy Becker
Publisher: iUniverse
ISBN: 146200718X
Category : Business & Economics
Languages : en
Pages : 115
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Book Description
Credit scores are a mystery to many American consumers. Even the most seasoned professionals are shocked to learn how easily their credit can be destroyed. In CREDIT SCORE POWER, author Tracy Becker offers insight into navigating the scoring system and focuses on how to help consumers keep their credit scores high. With more than twenty years of experience in the industry, Becker gives a simple and clear view of what makes and breaks fantastic credit scores. CREDIT SCORE POWER discusses the following: The credit bureaus and what they do Credit scores and the credit score process Methods for shopping for a mortgage Financial distress The secret to having the best credit Credit monitoring and identity protection Credit scores are an important aspect of consumers lives and can greatly affect the interest paid on loans and credit cards. The information presented by Becker helps people understand the system in order to have the best opportunity and highest savings in interest a credit score can offer.
Author: Phillip B. Rogers
Publisher: Nova Science Publishers
ISBN: 9781626183100
Category : Credit analysis
Languages : en
Pages : 0
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Book Description
A credit score is a numerical summary of a consumer's apparent creditworthiness, based on the consumer's credit report, and reflects the relative likelihood that the consumer will default on a credit obligation. Credit scores can have a significant impact on a consumer's financial life. Lenders rely on scores extensively in decision making, including the initial decisions of whether to lend and what loan terms to offer, for most types of credit, including mortgages, auto loans, and credit cards. Credit scores also influence the marketing offers that consumers receive, such as offers for credit cards. A good credit score can mean access to a wide range of credit products at the better rates available in the market, while a bad credit score can lead to greatly reduced access to credit and much higher borrowing costs. This book provides context for understanding the credit reporting industry as a whole, important industry players, and the complexity of the credit scoring process.
Author: Evan Hendricks
Publisher:
ISBN: 9780964548619
Category : Business & Economics
Languages : en
Pages : 364
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Book Description
This book is a consumer instruction manual for the credit reporting and credit scoring systems. Although these credit systems directly effect the financial standing of millions of Americans, few people understand them.
Author: Lyn C. Thomas
Publisher: SIAM
ISBN: 0898714834
Category : Mathematics
Languages : en
Pages : 256
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Book Description
The only book that details the mathematical models that help creditors make intelligent credit risk decisions.
