Credit Data and Scoring

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  • Publisher : Academic Press
  • Release : 07 January 2020
  • ISBN : 9780128188163
  • Page : 274 pages
  • Rating : 4.5/5 from 103 voters

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Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual’s economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation. Provides insights into credit scoring goals and methods Examines U.S leadership in developing credit data and algorithms and how other countries depart from it Analyzes the growing influence of algorithms in data scoring

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Credit Data and Scoring

Credit Data and Scoring
  • Author : Eric Rosenblatt
  • Publisher : Academic Press
  • Release Date : 2020-01-07
  • ISBN : 9780128188163
GET THIS BOOKCredit Data and Scoring

Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual’s economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture

Handbook of Credit Scoring

Handbook of Credit Scoring
  • Author : Elizabeth Mays
  • Publisher : Global Professional Publishi
  • Release Date : 2001-06
  • ISBN : 1888988010
GET THIS BOOKHandbook of Credit Scoring

· Credit scoring is a vital and sometimes misunderstood tool in financial services · Evaluates the different systems available Bankers and lenders depend on credit scoring to determine the best credit risks--and ensure maximum profit and security from their loan portfolios. Handbook of Credit Scoring offers the insights of a select group of experts on credit scoring systems. Topics include: Scoring Applications, Generic and Customized Scoring Models, Using consumer credit information, Scorecard modelling with continuous vs. Classed variables, Basic scorecard Development and

Intelligent Credit Scoring

Intelligent Credit Scoring
  • Author : Naeem Siddiqi
  • Publisher : John Wiley & Sons
  • Release Date : 2017-01-10
  • ISBN : 9781119279150
GET THIS BOOKIntelligent Credit Scoring

A better development and implementation framework for credit risk scorecards Intelligent Credit Scoring presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers, gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while ‘credit scores' have become a frequent topic of

Credit Risk Scorecards

Credit Risk Scorecards
  • Author : Naeem Siddiqi
  • Publisher : John Wiley & Sons
  • Release Date : 2012-06-29
  • ISBN : 9781118429167
GET THIS BOOKCredit Risk Scorecards

Praise for Credit Risk Scorecards "Scorecard development is important to retail financial services in terms of credit risk management, Basel II compliance, and marketing of credit products. Credit Risk Scorecards provides insight into professional practices in different stages of credit scorecard development, such as model building, validation, and implementation. The book should be compulsory reading for modern credit risk managers." —Michael C. S. Wong Associate Professor of Finance, City University of Hong Kong Hong Kong Regional Director, Global Association of

Credit Scoring and Its Applications, Second Edition

Credit Scoring and Its Applications, Second Edition
  • Author : Lyn Thomas,Jonathan Crook,David Edelman
  • Publisher : SIAM
  • Release Date : 2017-08-16
  • ISBN : 9781611974553
GET THIS BOOKCredit Scoring and Its Applications, Second Edition

Credit Scoring and Its Applications is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal

Data Analysis and Applications 4

Data Analysis and Applications 4
  • Author : Andreas Makrides,Alex Karagrigoriou,Christos H. Skiadas
  • Publisher : John Wiley & Sons
  • Release Date : 2020-04-09
  • ISBN : 9781119721581
GET THIS BOOKData Analysis and Applications 4

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and

Data Science for Economics and Finance

Data Science for Economics and Finance
  • Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
  • Publisher : Springer Nature
  • Release Date : 2021
  • ISBN : 9783030668914
GET THIS BOOKData Science for Economics and Finance

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

Big Data in Context

Big Data in Context
  • Author : Thomas Hoeren,Barbara Kolany-Raiser
  • Publisher : Springer
  • Release Date : 2017-10-17
  • ISBN : 9783319624617
GET THIS BOOKBig Data in Context

This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive

Credit Scoring, Response Modelling and Insurance Rating

Credit Scoring, Response Modelling and Insurance Rating
  • Author : S. Finlay
  • Publisher : Springer
  • Release Date : 2010-10-27
  • ISBN : 9780230298989
GET THIS BOOKCredit Scoring, Response Modelling and Insurance Rating

Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

Retail Credit Risk Management

Retail Credit Risk Management
  • Author : M. Anolli,E. Beccalli,T. Giordani
  • Publisher : Springer
  • Release Date : 2013-01-29
  • ISBN : 9781137006769
GET THIS BOOKRetail Credit Risk Management

Introducing the fundamentals of retail credit risk management, this book provides a broad and applied investigation of the related modeling theory and methods, and explores the interconnections of risk management, by focusing on retail and the constant reference to the implications of the financial crisis for credit risk management.

Understanding Your Credit Report and Credit Score

Understanding Your Credit Report and Credit Score
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2012
  • ISBN : 1100207597
GET THIS BOOKUnderstanding Your Credit Report and Credit Score

Creditworthy

Creditworthy
  • Author : Josh Lauer
  • Publisher : Columbia University Press
  • Release Date : 2017-07-25
  • ISBN : 9780231544627
GET THIS BOOKCreditworthy

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

Credit Scoring, Response Modeling, and Insurance Rating

Credit Scoring, Response Modeling, and Insurance Rating
  • Author : S. Finlay
  • Publisher : Springer
  • Release Date : 2012-06-26
  • ISBN : 9781137031693
GET THIS BOOKCredit Scoring, Response Modeling, and Insurance Rating

A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.

Machine Learning Algorithms and Applications

Machine Learning Algorithms and Applications
  • Author : Mettu Srinivas,G. Sucharitha,Anjanna Matta
  • Publisher : John Wiley & Sons
  • Release Date : 2021-08-10
  • ISBN : 9781119769248
GET THIS BOOKMachine Learning Algorithms and Applications

Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining,

Credit Risk Analytics

Credit Risk Analytics
  • Author : Bart Baesens,Daniel Roesch,Harald Scheule
  • Publisher : John Wiley & Sons
  • Release Date : 2016-10-03
  • ISBN : 9781119143987
GET THIS BOOKCredit Risk Analytics

The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting,