Creditworthy

Creditworthy PDF Author: Josh Lauer
Publisher: Columbia University Press
ISBN: 0231544626
Category : History
Languages : en
Pages : 393

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Book Description
The first consumer credit bureaus appeared in the 1870s and quickly amassed huge archives of deeply personal information. Today, the three leading credit bureaus are among the most powerful institutions in modern life—yet we know almost nothing about them. Experian, Equifax, and TransUnion are multi-billion-dollar corporations that track our movements, spending behavior, and financial status. This data is used to predict our riskiness as borrowers and to judge our trustworthiness and value in a broad array of contexts, from insurance and marketing to employment and housing. In Creditworthy, the first comprehensive history of this crucial American institution, Josh Lauer explores the evolution of credit reporting from its nineteenth-century origins to the rise of the modern consumer data industry. By revealing the sophistication of early credit reporting networks, Creditworthy highlights the leading role that commercial surveillance has played—ahead of state surveillance systems—in monitoring the economic lives of Americans. Lauer charts how credit reporting grew from an industry that relied on personal knowledge of consumers to one that employs sophisticated algorithms to determine a person's trustworthiness. Ultimately, Lauer argues that by converting individual reputations into brief written reports—and, later, credit ratings and credit scores—credit bureaus did something more profound: they invented the modern concept of financial identity. Creditworthy reminds us that creditworthiness is never just about economic "facts." It is fundamentally concerned with—and determines—our social standing as an honest, reliable, profit-generating person.

Creditworthy

Creditworthy PDF Author: Josh Lauer
Publisher: Columbia University Press
ISBN: 0231544626
Category : History
Languages : en
Pages : 393

Get Book Here

Book Description
The first consumer credit bureaus appeared in the 1870s and quickly amassed huge archives of deeply personal information. Today, the three leading credit bureaus are among the most powerful institutions in modern life—yet we know almost nothing about them. Experian, Equifax, and TransUnion are multi-billion-dollar corporations that track our movements, spending behavior, and financial status. This data is used to predict our riskiness as borrowers and to judge our trustworthiness and value in a broad array of contexts, from insurance and marketing to employment and housing. In Creditworthy, the first comprehensive history of this crucial American institution, Josh Lauer explores the evolution of credit reporting from its nineteenth-century origins to the rise of the modern consumer data industry. By revealing the sophistication of early credit reporting networks, Creditworthy highlights the leading role that commercial surveillance has played—ahead of state surveillance systems—in monitoring the economic lives of Americans. Lauer charts how credit reporting grew from an industry that relied on personal knowledge of consumers to one that employs sophisticated algorithms to determine a person's trustworthiness. Ultimately, Lauer argues that by converting individual reputations into brief written reports—and, later, credit ratings and credit scores—credit bureaus did something more profound: they invented the modern concept of financial identity. Creditworthy reminds us that creditworthiness is never just about economic "facts." It is fundamentally concerned with—and determines—our social standing as an honest, reliable, profit-generating person.

Handbook of Consumer Finance Research

Handbook of Consumer Finance Research PDF Author: Jing Jian Xiao
Publisher: Springer
ISBN: 3319288873
Category : Psychology
Languages : en
Pages : 379

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Book Description
This second edition of the authoritative resource summarizes the state of consumer finance research across disciplines for expert findings on—and strategies for enhancing—consumers’ economic health. New and revised chapters offer current research insights into familiar concepts (retirement saving, bankruptcy, marriage and finance) as well as the latest findings in emerging areas, including healthcare costs, online shopping, financial therapy, and the neuroscience behind buyer behavior. The expanded coverage also reviews economic challenges of diverse populations such as ethnic groups, youth, older adults, and entrepreneurs, reflecting the ubiquity of monetary issues and concerns. Underlying all chapters is the increasing importance of financial literacy training and other large-scale interventions in an era of economic transition. Among the topics covered: Consumer financial capability and well-being. Advancing financial literacy education using a framework for evaluation. Financial coaching: defining an emerging field. Consumer finance of low-income families. Financial parenting: promoting financial self-reliance of young consumers. Financial sustainability and personal finance education. Accessibly written for researchers and practitioners, this Second Edition of the Handbook of Consumer Finance Research will interest professionals involved in improving consumers’ fiscal competence. It also makes a worthwhile text for graduate and advanced undergraduate courses in economics, family and consumer studies, and related fields.

Data Science for Economics and Finance

Data Science for Economics and Finance PDF Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357

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Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Creditworthiness and 'Responsible Credit'

Creditworthiness and 'Responsible Credit' PDF Author: Noah Vardi
Publisher: BRILL
ISBN: 900452505X
Category : Law
Languages : en
Pages : 287

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Book Description
In this comparative study in US and EU law, Noah Vardi questions whether there is a legally enforceable duty to lend and borrow credit in a “responsible” manner and clarifies the associated notion of “creditworthiness.”

Interpretable Machine Learning

Interpretable Machine Learning PDF Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320

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Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Interest Rate Risk in the Banking Book

Interest Rate Risk in the Banking Book PDF Author: PAUL. NEWSON
Publisher:
ISBN: 9781782723257
Category : Banks and banking
Languages : en
Pages : 255

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Book Description


Journal of Developmental & Remedial Education

Journal of Developmental & Remedial Education PDF Author:
Publisher:
ISBN:
Category : Compensatory education
Languages : en
Pages : 262

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Book Description


Towards Digitally Transforming Accounting and Business Processes

Towards Digitally Transforming Accounting and Business Processes PDF Author: Tankiso Moloi
Publisher: Springer Nature
ISBN: 3031461770
Category : Business & Economics
Languages : en
Pages : 861

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Book Description
This conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

Perspectives in Finance and Digital Transformations in Business

Perspectives in Finance and Digital Transformations in Business PDF Author: Satyajit Chakrabarti
Publisher: Taylor & Francis
ISBN: 1040017568
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
This book presents different perspectives in finance and the adoption of digital tools in business in India. It discusses key issues in strategy, organisation, and management for businesses focussing on practical and actionable guidance and innovative tools which offer insights into the formulation and implementation of effective strategies and solutions. The book also looks at the adoption of new digital tools and strategies in different areas of business and management and ways in which these tools can be employed in business analysis, strategy, risk assessment, and management. It presents an overview of the application of new technologies in the industrial, banking, corporate, and agriculture sectors, among others, all aimed at increasing performance and profitability, assessing financial risk and volatility, and improving customer and employee experience. Part of the Contemporary Management Practices series, this book will be useful to practicing managers, researchers, and students who are interested in business and financial strategy, social inclusion, e-business, social entrepreneurship, information management, finance, and banking.

Learned Journals Pricing and Buying Round

Learned Journals Pricing and Buying Round PDF Author:
Publisher:
ISBN:
Category : Acquisition of serial publications
Languages : en
Pages : 60

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Book Description