An Introduction To Credit Risk Modeling
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An Introduction To Credit Risk Modeling
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Author : Christian Bluhm
language : en
Publisher: CRC Press
Release Date : 2002-09-27
An Introduction To Credit Risk Modeling written by Christian Bluhm and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-27 with Mathematics categories.
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice.
Introduction To Credit Risk Modeling
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Author : Christian Bluhm
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Introduction To Credit Risk Modeling written by Christian Bluhm and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.
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
Introduction To Credit Risk Modeling Second Edition
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Author : Christian Bluhm
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2010-06-02
Introduction To Credit Risk Modeling Second Edition written by Christian Bluhm and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-02 with Mathematics categories.
Contains Nearly 100 Pages of New Material The 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 Modeling, Second Edition presents updates on model developments that have occurred since the publication of the best-selling first edition. New to the Second Edition An expanded section on techniques for the generation of loss distributions Introductory sections on new topics, such as spectral risk measures, an axiomatic approach to capital allocation, and nonhomogeneous Markov chains Updated sections on the probability of default, exposure-at-default, loss-given-default, and regulatory capital A new section on multi-period models Recent developments in structured credit The financial crisis illustrated the importance of effectively communicating model outcomes and ensuring that the variation in results is clearly understood by decision makers. The crisis also showed that more modeling and more analysis are superior to only one model. This accessible, self-contained book recommends using a variety of models to shed light on different aspects of the true nature of a credit risk problem, thereby allowing the problem to be viewed from different angles.
Credit Risk Modeling Using Excel And Vba
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Author : Gunter Löeffler
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-31
Credit Risk Modeling Using Excel And Vba written by Gunter Löeffler and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-31 with Business & Economics categories.
It is common to blame the inadequacy of credit risk models for the fact that the financial crisis has caught many market participants by surprise. On closer inspection, though, it often appears that market participants failed to understand or to use the models correctly. The recent events therefore do not invalidate traditional credit risk modeling as described in the first edition of the book. A second edition is timely, however, because the first dealt relatively briefly with instruments featuring prominently in the crisis (CDSs and CDOs). In addition to expanding the coverage of these instruments, the book will focus on modeling aspects which were of particular relevance in the financial crisis (e.g. estimation error) and demonstrate the usefulness of credit risk modelling through case studies. This book provides practitioners and students with an intuitive, hands-on introduction to modern credit risk modelling. Every chapter starts with an explanation of the methodology and then the authors take the reader step by step through the implementation of the methods in Excel and VBA. They focus specifically on risk management issues and cover default probability estimation (scoring, structural models, and transition matrices), correlation and portfolio analysis, validation, as well as credit default swaps and structured finance. The book has an accompanying website, https://creditriskmodeling.wordpress.com/, which has been specially updated for this Second Edition and contains slides and exercises for lecturers.
Credit Risk Modeling
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Author : David Lando
language : en
Publisher: Princeton University Press
Release Date : 2009-12-13
Credit Risk Modeling written by David Lando and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-13 with Business & Economics categories.
Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.
Credit Risk Modeling
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Author : Elizabeth Mays
language : en
Publisher: Global Professional Publishi
Release Date : 1998-12-10
Credit Risk Modeling written by Elizabeth Mays and has been published by Global Professional Publishi this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-10 with Business & Economics categories.
Covers: � Implementing an application scoring system � Behavior modeling to manage your portfolio � Incorporating economic factors � Statistical techniques for choosing the optimal credit risk model � How to set cutoffs and override rules � Modeling for the sub-prime market � How to evaluate and monitor credit risk models This is an indispensable guide for credit professionals and risk managers who want to understand and implement modeling techniques for increased profitability. In this one-of-a-kind text, experts in credit risk provide a step-by-step guide to building and implementing models both for evaluating applications and managing existing portfolios.
Analytical Techniques In The Assessment Of Credit Risk
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Author : Michalis Doumpos
language : en
Publisher: Springer
Release Date : 2018-09-29
Analytical Techniques In The Assessment Of Credit Risk written by Michalis Doumpos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-29 with Business & Economics categories.
This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.
Credit Risk Modeling Using Excel And Vba
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Author : Gunter Löeffler
language : en
Publisher: Wiley
Release Date : 2007-06-05
Credit Risk Modeling Using Excel And Vba written by Gunter Löeffler and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-05 with Business & Economics categories.
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques, in this case credit. Credit Risk Modeling using Excel and VBA with DVD provides practitioners with a hands on introduction to credit risk modeling. Instead of just presenting analytical methods it shows how to implement them using Excel and VBA, in addition to a detailed description in the text a DVD guides readers step by step through the implementation. The authors begin by showing how to use option theoretic and statistical models to estimate a borrowers default risk. The second half of the book is devoted to credit portfolio risk. The authors guide readers through the implementation of a credit risk model, show how portfolio models can be validated or used to access structured credit products like CDO’s. The final chapters address modeling issues associated with the new Basel Accord.
Credit Risk Modeling Valuation And Hedging
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Author : Tomasz R. Bielecki
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Credit Risk Modeling Valuation And Hedging written by Tomasz R. Bielecki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Business & Economics categories.
The motivation for the mathematical modeling studied in this text on developments in credit risk research is the bridging of the gap between mathematical theory of credit risk and the financial practice. Mathematical developments are covered thoroughly and give the structural and reduced-form approaches to credit risk modeling. Included is a detailed study of various arbitrage-free models of default term structures with several rating grades.
Credit Risk
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Author : Niklas Wagner
language : en
Publisher: CRC Press
Release Date : 2008-05-28
Credit Risk written by Niklas Wagner and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-28 with Mathematics categories.
Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sections, the book • Explores the rapidly developing area of credit derivative products, including iTraxx Futures, iTraxx Default Swaptions, and constant proportion debt obligations • Addresses the relationships between the DJ iTraxx credit default swap (CDS) index and the stock market as well as CDS spreads and macroeconomic factors • Investigates systematic and firm-specific default risk factors, compares CDS pricing results from the CreditGrades industry benchmark to a trinomial tree approach, and applies the Hull–White intensity-based model to the pricing of names from the CDX index • Analyzes aggregate default and recovery rates on corporate bond defaults over a twenty-year period, the responses of hazard rates to changes in a set of economic variables, low-default portfolios, and tests on the accuracy of the Basel II framework • Describes benchmark models of implied credit correlation risk, copula-based default dependence concepts, the fit of various copula models, and a common factor model of systematic credit risk • Studies the pricing of options on single-name CDSs, the pricing of credit derivatives, collateralized debt obligation (CDO) price data, the pricing of CDO tranches, applications of Gaussian and Student’s t copula functions, and the pricing of CDOs Using mathematical models and methodologies, this volume provides the essential knowledge to properly manage credit risk and make sound financial decisions.