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Author : Yair E. Orgler
Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (586 download)
Download or read book The Application of a Credit Scoring Model to Loan Evaluation and Review written by Yair E. Orgler and published by . This book was released on 1969 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lyn Thomas
Publisher : SIAM
ISBN 13 : 1611974550
Total Pages : 380 pages
Book Rating : 4.6/5 (119 download)
Download or read book Credit Scoring and Its Applications, Second Edition written by Lyn Thomas and published by SIAM. This book was released on 2017-08-16 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain an understanding of what lending institutions seek to achieve by using credit scoring and the changes in their objectives.? New to the second edition are lessons that can be learned for operations research model building from the global financial crisis, current applications of scoring, discussions on the Basel Accords and their requirements for scoring, new methods for scorecard building and new expanded sections on ways of measuring scorecard performance. And survival analysis for credit scoring. Other unique features include methods of monitoring scorecards and deciding when to update them, as well as different applications of scoring, including direct marketing, profit scoring, tax inspection, prisoner release, and payment of fines.?
Author : M. Anolli
Publisher : Springer
ISBN 13 : 1137006765
Total Pages : 367 pages
Book Rating : 4.1/5 (37 download)
Download or read book Retail Credit Risk Management written by M. Anolli and published by Springer. This book was released on 2013-01-29 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Yair E. Orgler
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.F/5 ( download)
Download or read book Analytical Methods in Loan Evaluation written by Yair E. Orgler and published by . This book was released on 1975 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Elizabeth Mays
Publisher : CreateSpace
ISBN 13 : 9781450578967
Total Pages : 266 pages
Book Rating : 4.5/5 (789 download)
Download or read book Credit Scoring for Risk Managers written by Elizabeth Mays and published by CreateSpace. This book was released on 2011-02-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In today's financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The world's economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U.S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the book's sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9).
Author : Charles K. Addo
Publisher : iUniverse
ISBN 13 : 1450289622
Total Pages : 65 pages
Book Rating : 4.4/5 (52 download)
Download or read book Quest for a Credible Model in Lending Evaluation written by Charles K. Addo and published by iUniverse. This book was released on 2011-03-23 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines potential income as an additional independent variable that will complement credit history to predict loan repayment with applicable interest. Lending exposures constitute the most material risk concentrations within banks, and this book contributes to the literature on lending risk management within banks and other lending institutions. Risk management theories have provided emphatic guidelines for risk control and management of banks loans, yet the results of other studies indicate that the credit evaluation models do not fully explore all available predictors of loan repayment. This deprives the models of total efficiency at predicting loan repayment with applicable interest, and leads to accretion in the nonperforming loans portfolio. It also leads to inequitable credit rationing practices. The resultant effect is a decrease in both investment and consumer spending that stimulates macroeconomic activities. This book suggests a policy prescription for lenders: consideration should be given to both credit history and potential income in loan decision making.
Author : Elizabeth Mays
Publisher : Global Professional Publishi
ISBN 13 : 9781888988017
Total Pages : 392 pages
Book Rating : 4.9/5 (88 download)
Download or read book Handbook of Credit Scoring written by Elizabeth Mays and published by Global Professional Publishi. This book was released on 1995-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: · 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 Validation, Going beyond Credit Score, Data mining, Scorecard collection strategies, project management for Credit Scoring
Author : Clark R. Abrahams
Publisher : John Wiley & Sons
ISBN 13 : 9780470500354
Total Pages : 320 pages
Book Rating : 4.5/5 (3 download)
Download or read book Credit Risk Assessment written by Clark R. Abrahams and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Clark and Mingyuan start with an insightful and comprehensive description of how market participants contributed to the current crisis in the residential mortgage markets and the root causes of the crisis. They then proceed to develop a new residential mortgage lending system that can fix our broken markets because it addresses the root causes. The most impressive attributes of their new system is its commonsense return to the basics of traditional underwriting, combined with factors based on expert judgment and statistics and forward-looking attributes, all of which can be updated as markets change. The whole process is transparent to the borrower, lender, and investor." —Dean Schultz, President and CEO, Federal Home Loan Bank of San Francisco "The credit market crisis of 2008 has deeply affected the economic lives of every American. Yet, its underlying causes and its surface features are so complex that many observers and even policymakers barely understand them. This timely book will help guide nonspecialists through the workings of financial markets, particularly how they value, price, and distribute risk." —Professor William Greene, Stern School of Business, New York University "This book is a well-timed departure from much of what is being written today regarding the current foreclosure and credit crisis. Rather than attempting to blame lenders, borrowers, and/or federal regulators for the mortgage meltdown and the subsequent impacts on the financial markets, Clark and Mingyuan have proposed a groundbreaking new framework to revolutionize our current lending system. The book is built on the authors' deep understanding of risk and the models used for credit analysis, and reflects their commitment to solve the problem. What I find most profound is their passion to develop a system that will facilitate new and better investment, especially in underserved urban markets that have been disproportionately impacted in the current crisis. I applaud the authors for this important work, and urge practitioners and theorists alike to investigate this new approach." —John Talmage, President and CEO, Social Compact "In the wake of the credit crisis, it is clear that transparency is the key to not repeating history. In Credit Risk Assessment: The New Lending System for Borrowers, Lenders and Investors, Clark Abrahams and Mingyuan Zhang describe a new lending framework that seeks to connect all the players in the lending chain and provide a more holistic view of customers' risk potential. As the financial services industry recovers from the mortgage meltdown, the Abrahams/Zhang lending model certainly offers some new food for thought to laymen and professionals alike." —Maria Bruno-Britz, Senior Editor, Bank Systems & Technology magazine
Author : Naeem Siddiqi
Publisher : John Wiley & Sons
ISBN 13 : 1118429168
Total Pages : 124 pages
Book Rating : 4.1/5 (184 download)
Download or read book Credit Risk Scorecards written by Naeem Siddiqi and published by John Wiley & Sons. This book was released on 2012-06-29 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Risk Professionals "Siddiqi offers a practical, step-by-step guide for developing and implementing successful credit scorecards. He relays the key steps in an ordered and simple-to-follow fashion. A 'must read' for anyone managing the development of a scorecard." —Jonathan G. Baum Chief Risk Officer, GE Consumer Finance, Europe "A comprehensive guide, not only for scorecard specialists but for all consumer credit professionals. The book provides the A-to-Z of scorecard development, implementation, and monitoring processes. This is an important read for all consumer-lending practitioners." —Satinder Ahluwalia Vice President and Head-Retail Credit, Mashreqbank, UAE "This practical text provides a strong foundation in the technical issues involved in building credit scoring models. This book will become required reading for all those working in this area." —J. Michael Hardin, PhD Professor of StatisticsDepartment of Information Systems, Statistics, and Management ScienceDirector, Institute of Business Intelligence "Mr. Siddiqi has captured the true essence of the credit risk practitioner's primary tool, the predictive scorecard. He has combined both art and science in demonstrating the critical advantages that scorecards achieve when employed in marketing, acquisition, account management, and recoveries. This text should be part of every risk manager's library." —Stephen D. Morris Director, Credit Risk, ING Bank of Canada
Author : John A. Haslem
Publisher :
ISBN 13 :
Total Pages : 3 pages
Book Rating : 4.:/5 (13 download)
Download or read book A Credit Scoring Model for Commercial Loans written by John A. Haslem and published by . This book was released on 2015 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ogler's article observes that while analytical models have long been developed to screen new loan applications, much less attention has been devoted to the loan review function. While it is of primary importance for a loan officer to ascertain credit quality prior to granting a loan, nonetheless, many apparently qualified borrowers become poor credit risks for reasons that develop subsequent to granting of the loan. In such cases it is important to identify weak loans as early as possible so that appropriate corrective action can be taken to avoid or minimize losses. In this regard, it is Ogler's stated objective "to develop a general credit-scoring model for evaluating existing commercial loans."As is customary in statistical studies of credit quality, Ogler defends the dependent variable in qualitative terms and then tests several sets of independent variables to find the set that best best discriminates between the groups defined by the dependent variable. While Orgler's statistical methodology appears sound, the definition and justification of his dependent variable is less satisfactory. The dependent variable measures loan quality as being either good or bad based on the judgment of bank examiners. It is unfortunate that Orgler's data dictated his research objective and model because they also limited the generality of his conclusions. Nonetheless, Orgler has considered an important question deserving of further research. If possible, such research should give careful attention to the objective measurement of actual loan quality and not personal judgments about quality, no matter how refined such judgments may be.
Author : Colin Chen
Publisher : Springer Nature
ISBN 13 : 3031525426
Total Pages : 404 pages
Book Rating : 4.0/5 (315 download)
Download or read book Practical Credit Risk and Capital Modeling, and Validation written by Colin Chen and published by Springer Nature. This book was released on with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anthony Saunders
Publisher :
ISBN 13 : 9780071204101
Total Pages : 742 pages
Book Rating : 4.2/5 (41 download)
Download or read book Financial Institutions Management written by Anthony Saunders and published by . This book was released on 2001-10 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: Counter This text focuses on the risks faced by managers of financial institutions and the methods and markets through which these risks are managed. Pertinent information regarding non-bank financial institutions, such as insurance companies and credit unions, provides a more holistic view of the challenges raised by factors such as interest rates, market risk, credit risk, and liquidity risk, among others. The highly regarded text continues to take the same innovative approach as the first, and second editions, focusing on managing return and risk in modern financial institutions. The books central theme is that the risks faced by financial institution managers, and the methods and markets, through which these risks are managed, are becoming increasingly similar. It has become less of issue whether the institution is chartered as a commercial bank, a savings bank, investment bank, or an insurance company. This edition includes even more coverage of non-bank institutions by adding more examples relating to credit unions and insurance companies.
Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Ruonan Lin
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)
Download or read book The application and assessment of consumer credit scoring models in measuring consumer loan issuing risk of commercial banks in China written by Ruonan Lin and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Asia Samreen
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659255496
Total Pages : 316 pages
Book Rating : 4.2/5 (554 download)
Download or read book Design and Development of Credit Scoring Models for Commercial Banks written by Asia Samreen and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: All praise and thanks to Allah Almighty who graced me with the strength and guidance for completing this research. This book aimed to explain the loan evaluation method known as credit scoring. Credit scoring is a technique that helps banks decides whether to grant credit to applicants who apply to them or not. The main objective of the research was to evaluate credit risk in commercial banks of Pakistan using credit scoring models. Two credit scoring models were developed to assess the creditworthiness of the bank's credit applications. It is highly recommended that commercial banks should use these proposed credit scoring models as a part of their evaluation process. By adopting these models banks can reduce their non performing loans. The proposed models have included all the factors that banks consider but in a systematic way.
Author : Allen N. Berger
Publisher : DIANE Publishing
ISBN 13 : 1437928781
Total Pages : 25 pages
Book Rating : 4.4/5 (379 download)
Download or read book Surprising Use of Credit Scoring in Small Business Lending by Community Banks and the Attendant Effects on Credit Availability and Risk written by Allen N. Berger and published by DIANE Publishing. This book was released on 2010-06 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a positive relationship between the use of credit scoring for small business (SB) loans and SB credit availability. This report employs data from a new survey on the use of credit scoring in SB lending, primarily by community banks. The survey evidence suggests that the use of credit scores in SB lending by community banks is surprisingly widespread. Moreover, the scores employed tend to be the consumer credit scores of the SB owners rather than the more encompassing SB credit scores that include data on the firms as well as on the owners. This empirical analysis suggests that credit scoring is associated with increased SB lending after a learning period, with no material change in the quality of the loan portfolio. Charts ad tables.
Author : Naeem Siddiqi
Publisher : John Wiley & Sons
ISBN 13 : 1119279151
Total Pages : 469 pages
Book Rating : 4.1/5 (192 download)
Download or read book Intelligent Credit Scoring written by Naeem Siddiqi and published by John Wiley & Sons. This book was released on 2017-01-10 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 conversation in many countries where bureau scores are used broadly. In the United States, the ‘FICO' and ‘Vantage' scores continue to be discussed by borrowers hoping to get a better deal from the banks. While knowledge of the statistical processes around building credit scorecards is common, the business context and intelligence that allows you to build better, more robust, and ultimately more intelligent, scorecards is not. As the follow-up to Credit Risk Scorecards, this updated second edition includes new detailed examples, new real-world stories, new diagrams, deeper discussion on topics including WOE curves, the latest trends that expand scorecard functionality and new in-depth analyses in every chapter. Expanded coverage includes new chapters on defining infrastructure for in-house credit scoring, validation, governance, and Big Data. Black box scorecard development by isolated teams has resulted in statistically valid, but operationally unacceptable models at times. This book shows you how various personas in a financial institution can work together to create more intelligent scorecards, to avoid disasters, and facilitate better decision making. Key items discussed include: Following a clear step by step framework for development, implementation, and beyond Lots of real life tips and hints on how to detect and fix data issues How to realise bigger ROI from credit scoring using internal resources Explore new trends and advances to get more out of the scorecard Credit scoring is now a very common tool used by banks, Telcos, and others around the world for loan origination, decisioning, credit limit management, collections management, cross selling, and many other decisions. Intelligent Credit Scoring helps you organise resources, streamline processes, and build more intelligent scorecards that will help achieve better results.
