Intelligent Credit Scoring

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Intelligent Credit Scoring

Author : Naeem Siddiqi
Publisher : John Wiley & Sons
ISBN 13 : 1119279151
Total Pages : 469 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Intelligent Credit Scoring by : Naeem Siddiqi

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.

Credit Risk Scorecards

Author : Naeem Siddiqi
Publisher : John Wiley & Sons
ISBN 13 : 1118429168
Total Pages : 124 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Credit Risk Scorecards by : Naeem Siddiqi

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

Credit Scoring and Its Applications, Second Edition

Author : Lyn Thomas
Publisher : SIAM
ISBN 13 : 1611974569
Total Pages : 380 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Credit Scoring and Its Applications, Second Edition by : Lyn Thomas

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.

Credit Intelligence & Modelling

Author : Raymond A. Anderson
Publisher : Oxford University Press
ISBN 13 : 0192844199
Total Pages : 934 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Credit Intelligence & Modelling by : Raymond A. Anderson

Download or read book Credit Intelligence & Modelling written by Raymond A. Anderson and published by Oxford University Press. This book was released on 2022 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit Intelligence and Modelling provides an indispensable explanation of the statistical models and methods used when assessing credit risk and automating decisions. Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice. It first explores an introduction to credit risk assessment and predictive modelling, micro-histories of credit and credit scoring, as well as the processes used throughout the credit risk management cycle. Mathematical and statistical tools used to develop and assess predictive models are then considered, in addition to project management and data assembly, data preparation from sampling to reject inference, and finally model training through to implementation. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines, whether for academic research or practical use. The book assumes little prior knowledge, thus making it an indispensable desktop reference for students and practitioners alike. Credit Intelligence and Modelling expands on the success of The Credit Scoring Toolkit to cover credit rating and intelligence agencies, and the data and tools used as part of the process.

Consumer Credit Models

Author : Lyn C. Thomas
Publisher : OUP Oxford
ISBN 13 : 0191552496
Total Pages : 400 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Consumer Credit Models by : Lyn C. Thomas

Download or read book Consumer Credit Models written by Lyn C. Thomas and published by OUP Oxford. This book was released on 2009-01-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives from minimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks there are a number of challenges that require new models that use credit scores as inputs and extensions of the ideas in credit scoring. This book reviews the current methodology and measures used in credit scoring and then looks at the models that can be used to address these new challenges. The first chapter describes what a credit score is and how a scorecard is built which gives credit scores and models how the score is used in the lending decision. The second chapter describes the different ways the quality of a scorecard can be measured and points out how some of these measure the discrimination of the score, some the probability prediction of the score, and some the categorical predictions that are made using the score. The remaining three chapters address how to use risk and response scoring to model the new problems in consumer lending. Chapter three looks at models that assist in deciding how to vary the loan terms made to different potential borrowers depending on their individual characteristics. Risk based pricing is the most common approach being introduced. Chapter four describes how one can use Markov chains and survival analysis to model the dynamics of a borrower's repayment and ordering behaviour . These models allow one to make decisions that maximise the profitability of the borrower to the lender and can be considered as part of a customer relationship management strategy. The last chapter looks at how the new banking regulations in the Basel Accord apply to consumer lending. It develops models that show how they will change the operating decisions used in consumer lending and how their need for stress testing requires the development of new models to assess the credit risk of portfolios of consumer loans rather than a models of the credit risks of individual loans.

Fair Lending Compliance

Author : Clark R. Abrahams
Publisher : John Wiley & Sons
ISBN 13 : 9780470241899
Total Pages : 356 pages
Book Rating : 4.2/5 (418 download)

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Book Synopsis Fair Lending Compliance by : Clark R. Abrahams

Download or read book Fair Lending Compliance written by Clark R. Abrahams and published by John Wiley & Sons. This book was released on 2008-03-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Analysis and Applications 4

Author : Andreas Makrides
Publisher : John Wiley & Sons
ISBN 13 : 111972158X
Total Pages : 241 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analysis and Applications 4 by : Andreas Makrides

Download or read book Data Analysis and Applications 4 written by Andreas Makrides and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

The Credit Scoring Toolkit

Author : Raymond Anderson
Publisher : Oxford University Press
ISBN 13 : 9780199226405
Total Pages : 791 pages
Book Rating : 4.2/5 (264 download)

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Book Synopsis The Credit Scoring Toolkit by : Raymond Anderson

Download or read book The Credit Scoring Toolkit written by Raymond Anderson and published by Oxford University Press. This book was released on 2007-08-30 with total page 791 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Credit Scoring Toolkit provides an all-encompassing view of the use of statistical models to assess retail credit risk and provide automated decisions.In eight modules, the book provides frameworks for both theory and practice. It first explores the economic justification and history of Credit Scoring, risk linkages and decision science, statistical and mathematical tools, the assessment of business enterprises, and regulatory issues ranging from data privacy to Basel II. It then provides a practical how-to-guide for scorecard development, including data collection, scorecard implementation, and use within the credit risk management cycle.Including numerous real-life examples and an extensive glossary and bibliography, the text assumes little prior knowledge making it an indispensable desktop reference for graduate students in statistics, business, economics and finance, MBA students, credit risk and financial practitioners.

Fuzzy Sets in Management, Economics, and Marketing

Author : Panos M. Pardalos
Publisher : World Scientific
ISBN 13 : 9789812810892
Total Pages : 292 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Fuzzy Sets in Management, Economics, and Marketing by : Panos M. Pardalos

Download or read book Fuzzy Sets in Management, Economics, and Marketing written by Panos M. Pardalos and published by World Scientific. This book was released on 2001 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the most recent advances in the development of innovative techniques for managing the uncertainty that prevails in the global economic and management environments. These techniques originate mainly from fuzzy sets theory. However, the book also explores the integration of fuzzy sets with other decision support and modeling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, etc. The presentation of the advances in these fields and their real world applications adds a new perspective to the broad fields of management science and economics. Contents: Decision Making, Management and Marketing: Algorithms for Orderly Structuring of Financial OC ObjectsOCO (J Gil-Aluja); A Fuzzy Goal Programming Model for Evaluating a Hospital Service Performance (M Arenas et al.); A Group Decision Making Method Using Fuzzy Triangular Numbers (J L Garc a-Lapresta et al.); Developing Sorting Models Using Preference Disaggregation Analysis: An Experimental Investigation (M Doumpos & C Zopounidis); Stock Markets and Portfolio Management: The Causality Between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange (J Gupta et al.); Fuzzy Cognitive Maps in Stock Market (D Koulouriotis et al.); Neural Network vs Linear Models of Stock Returns: An Application to the UK and German Stock Market Indices (A Kanas); Corporate Finance and Banking Management: Expertons and Behaviour of Companies with Regard to the Adequacy Between Business Decisions and Objectives (A Couturier & B Fioleau); Multiple Fuzzy IRR in the Financial Decision Environment (S F Gonzilez et al.); An Automated Knowledge Generation Approach for Managing Credit Scoring Problems (M Michalopoulos et al.); and other papers. Readership: Financial managers, economists, management scientists and computer scientists."

Bio-Inspired Credit Risk Analysis

Author : Lean Yu
Publisher : Springer Science & Business Media
ISBN 13 : 3540778039
Total Pages : 248 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Bio-Inspired Credit Risk Analysis by : Lean Yu

Download or read book Bio-Inspired Credit Risk Analysis written by Lean Yu and published by Springer Science & Business Media. This book was released on 2008-04-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

Credit Risk Analytics

Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119143985
Total Pages : 517 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Credit Risk Analytics by : Bart Baesens

Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Credit-Risk Modelling

Author : David Jamieson Bolder
Publisher : Springer
ISBN 13 : 3319946889
Total Pages : 704 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Credit-Risk Modelling by : David Jamieson Bolder

Download or read book Credit-Risk Modelling written by David Jamieson Bolder and published by Springer. This book was released on 2018-10-31 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

IFRS 9 and CECL Credit Risk Modelling and Validation

Author : Tiziano Bellini
Publisher : Academic Press
ISBN 13 : 012814940X
Total Pages : 316 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis IFRS 9 and CECL Credit Risk Modelling and Validation by : Tiziano Bellini

Download or read book IFRS 9 and CECL Credit Risk Modelling and Validation written by Tiziano Bellini and published by Academic Press. This book was released on 2019-02-08 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management. Offers a broad survey that explains which models work best for mortgage, small business, cards, commercial real estate, commercial loans and other credit products Concentrates on specific aspects of the modelling process by focusing on lifetime estimates Provides an hands-on approach to enable readers to perform model development, validation and audit of credit risk models

Credit Scoring for Risk Managers

Author : Elizabeth Mays
Publisher : CreateSpace
ISBN 13 : 9781450578967
Total Pages : 266 pages
Book Rating : 4.5/5 (789 download)

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Book Synopsis Credit Scoring for Risk Managers by : Elizabeth Mays

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).

Credit Risk Scorecards

Author : Mamdouh Refaat
Publisher :
ISBN 13 : 9781447511199
Total Pages : 428 pages
Book Rating : 4.5/5 (111 download)

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Book Synopsis Credit Risk Scorecards by : Mamdouh Refaat

Download or read book Credit Risk Scorecards written by Mamdouh Refaat and published by . This book was released on 2011-03-15 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic presentation of credit risk scorecard development and implementation. The text covers the theoretical foundations, the practical implementation and programming using SAS. The book topics include: - Data acquisition - data preparation - EDA, predictive measures and variable selection - Optimal segmentation and binning - Coarse classing and WOE transformations - Development of logistic regression models - Methods of model assessment and evaluation - Scorecard creation and scaling - Automatic generation of scoring code (SAS, SQL, C) - Scorecard monitoring and reporting - Reject inference The SAS implementation contains over 50 ready-to-use SAS macros that can be implemented in the automation of the scorecard creation process.

Advanced Credit Risk Analysis and Management

Author : Ciby Joseph
Publisher : John Wiley & Sons
ISBN 13 : 111860489X
Total Pages : 454 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Advanced Credit Risk Analysis and Management by : Ciby Joseph

Download or read book Advanced Credit Risk Analysis and Management written by Ciby Joseph and published by John Wiley & Sons. This book was released on 2013-04-22 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit is essential in the modern world and creates wealth, provided it is used wisely. The Global Credit Crisis during 2008/2009 has shown that sound understanding of underlying credit risk is crucial. If credit freezes, almost every activity in the economy is affected. The best way to utilize credit and get results is to understand credit risk. Advanced Credit Risk Analysis and Management helps the reader to understand the various nuances of credit risk. It discusses various techniques to measure, analyze and manage credit risk for both lenders and borrowers. The book begins by defining what credit is and its advantages and disadvantages, the causes of credit risk, a brief historical overview of credit risk analysis and the strategic importance of credit risk in institutions that rely on claims or debtors. The book then details various techniques to study the entity level credit risks, including portfolio level credit risks. Authored by a credit expert with two decades of experience in corporate finance and corporate credit risk, the book discusses the macroeconomic, industry and financial analysis for the study of credit risk. It covers credit risk grading and explains concepts including PD, EAD and LGD. It also highlights the distinction with equity risks and touches on credit risk pricing and the importance of credit risk in Basel Accords I, II and III. The two most common credit risks, project finance credit risk and working capital credit risk, are covered in detail with illustrations. The role of diversification and credit derivatives in credit portfolio management is considered. It also reflects on how the credit crisis develops in an economy by referring to the bubble formation. The book links with the 2008/2009 credit crisis and carries out an interesting discussion on how the credit crisis may have been avoided by following the fundamentals or principles of credit risk analysis and management. The book is essential for both lenders and borrowers. Containing case studies adapted from real life examples and exercises, this important text is practical, topical and challenging. It is useful for a wide spectrum of academics and practitioners in credit risk and anyone interested in commercial and corporate credit and related products.

Data Science for Economics and Finance

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

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.