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Author : Nicholas M. Kiefer
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (318 download)
Download or read book Default Estimation for Low-default Portfolios written by Nicholas M. Kiefer and published by . This book was released on 2006 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nicholas M. Kiefer
Publisher :
ISBN 13 :
Total Pages : 29 pages
Book Rating : 4.:/5 (129 download)
Download or read book Default Estimation for Low-Default Portfolios written by Nicholas M. Kiefer and published by . This book was released on 2009 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem in default probability estimation for low-default portfolios is that there is little relevant historical data information. No amount of data processing can fix this problem. More information is required. Incorporating expert opinion formally is an attractive option.
Author : Nicholas M. Kiefer
Publisher : CreateSpace
ISBN 13 : 9781505309201
Total Pages : 28 pages
Book Rating : 4.3/5 (92 download)
Download or read book Default Estimation for Low-Default Portfolios written by Nicholas M. Kiefer and published by CreateSpace. This book was released on 2014-12-31 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem in default probability estimation for low-default portfolios is that there is little reverent historical data information. No amount of data processing can fix this problem. More information is required. Incorporating expert opinion formally is an attractive option.
Author : Bernd Engelmann
Publisher : Springer Science & Business Media
ISBN 13 : 3642161146
Total Pages : 432 pages
Book Rating : 4.6/5 (421 download)
Download or read book The Basel II Risk Parameters written by Bernd Engelmann and published by Springer Science & Business Media. This book was released on 2011-03-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice. These parameters are used on the one hand as inputs to credit portfolio models and in loan pricing frameworks, on the other to compute regulatory capital according to the new Basel rules. This book covers the state-of-the-art in designing and validating rating systems and default probability estimations. Furthermore, it presents techniques to estimate LGD and EAD and includes a chapter on stress testing of the Basel II risk parameters. The second edition is extended by three chapters explaining how the Basel II risk parameters can be used for building a framework for risk-adjusted pricing and risk management of loans.
Author : Bernd Engelmann
Publisher : Springer Science & Business Media
ISBN 13 : 3540330879
Total Pages : 384 pages
Book Rating : 4.5/5 (43 download)
Download or read book The Basel II Risk Parameters written by Bernd Engelmann and published by Springer Science & Business Media. This book was released on 2006-08-24 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critical problem in the practice of banking risk assessment is the estimation and validation of the Basel II risk parameters PD (default probability), LGD (loss given default), and EAD (exposure at default). This book presents the state-of-the-art in designing and validating rating systems and default probability estimations, and outlines techniques to estimate LGD and EAD. Also included is a chapter on stress testing of the Basel II risk parameters.
Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119143985
Total Pages : 517 pages
Book Rating : 4.1/5 (191 download)
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.
Author : Christian Bluhm
Publisher : CRC Press
ISBN 13 : 1584889934
Total Pages : 386 pages
Book Rating : 4.5/5 (848 download)
Download or read book Introduction to Credit Risk Modeling written by Christian Bluhm and published by CRC Press. This book was released on 2016-04-19 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to focus on common mathematical approaches to model credit portfolios, Introduction to Credit Risk Modelin
Author :
Publisher : Lulu.com
ISBN 13 : 9291316695
Total Pages : 294 pages
Book Rating : 4.2/5 (913 download)
Download or read book International Convergence of Capital Measurement and Capital Standards written by and published by Lulu.com. This book was released on 2004 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tiziano Bellini
Publisher : Academic Press
ISBN 13 : 012814940X
Total Pages : 316 pages
Book Rating : 4.1/5 (281 download)
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 2019-01-31 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.
Author : S. Scandizzo
Publisher : Springer
ISBN 13 : 1137436964
Total Pages : 242 pages
Book Rating : 4.1/5 (374 download)
Download or read book The Validation of Risk Models written by S. Scandizzo and published by Springer. This book was released on 2016-07-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.
Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119278287
Total Pages : 644 pages
Book Rating : 4.1/5 (192 download)
Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-09-19 with total page 644 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.
Author : L. Izzi
Publisher : Springer
ISBN 13 : 0230361188
Total Pages : 380 pages
Book Rating : 4.2/5 (33 download)
Download or read book Basel III Credit Rating Systems written by L. Izzi and published by Springer. This book was released on 2011-12-19 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than ever, banking competition is based on the ability to control the cost of risk and can only be managed with excellent internal rating models and very advanced risk management processes. This book is a comprehensive guide to quantitative and qualitative rating assessments with up-to-date methodologies in the international banking system.
Author : Joseph Callaghan
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1443834777
Total Pages : 415 pages
Book Rating : 4.4/5 (438 download)
Download or read book First International Conference on Credit Analysis and Risk Management written by Joseph Callaghan and published by Cambridge Scholars Publishing. This book was released on 2011-10-18 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a summary of state-of-the-art methods and research in the analysis of credit. It thereby supplies very useful insights into this vital area of finance that has previously been insufficiently taught and researched in academia. The book, which includes an overview of processes that are utilized for estimating the probability of default and the loss given default for a wide array of debts, will be useful in evaluating individual loans and bonds as well as managing entire portfolios of such assets. Each of the chapters in the book is written by authors who presented and discussed their contemporary research and knowledge at the First International Conference on Credit Analysis and Risk Management that was held July 21–23, 2011 at Oakland University, Michigan, USA. This collection of writings by these experts in the field is uniquely designed to enhance the understanding of credit analysis in a fashion that permits a broad perspective on the science and art of credit analysis.
Author : Douglas J. Lucas
Publisher : John Wiley & Sons
ISBN 13 : 0470045310
Total Pages : 528 pages
Book Rating : 4.4/5 (7 download)
Download or read book Collateralized Debt Obligations written by Douglas J. Lucas and published by John Wiley & Sons. This book was released on 2006-08-04 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since first edition's publication, the CDO market has seen tremendous growth. As of 2005, $1.1 trillion of CDOs were outstanding -- making them the fastest-growing investment vehicle of the last decade. To help you keep up with this expanding market and its various instruments, Douglas Lucas, Laurie Goodman, and Frank Fabozzi have collaborated to bring you this fully revised and up-to-date new edition of Collateralized Debt Obligations. Written in a clear and accessible style, this valuable resource provides critical information regarding the evolving nature of the CDO market. You'll find in-depth insights gleaned from years of investment and credit experience as well as the examination of a wide range of issues, including cash CDOs, loans and CLOs, structured finance CDOs and collateral review, emerging market and market value CDOs, and synthetic CDOs. Use this book as your guide and take advantage of this dynamic market and its products.
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.
Author : Irfan, Mohammad
Publisher : IGI Global
ISBN 13 : 1668444852
Total Pages : 316 pages
Book Rating : 4.6/5 (684 download)
Download or read book Advanced Machine Learning Algorithms for Complex Financial Applications written by Irfan, Mohammad and published by IGI Global. This book was released on 2023-01-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Author : I. Ruiz
Publisher : Springer
ISBN 13 : 1137448202
Total Pages : 591 pages
Book Rating : 4.1/5 (374 download)
Download or read book XVA Desks - A New Era for Risk Management written by I. Ruiz and published by Springer. This book was released on 2015-04-27 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a practitioner with years working in CVA, FVA and DVA this is a thorough, practical guide to a topic at the very core of the derivatives industry. It takes readers through all aspects of counterparty credit risk management and the business cycle of CVA, DVA and FVA, focusing on risk management, pricing considerations and implementation.
