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Author: Damiano Brigo Publisher: John Wiley & Sons ISBN: 0470971436 Category : Business & Economics Languages : en Pages : 212
Book Description
The recent financial crisis has highlighted the need for better valuation models and risk management procedures, better understanding of structured products, and has called into question the actions of many financial institutions. It has become commonplace to blame the inadequacy of credit risk models, claiming that the crisis was due to sophisticated and obscure products being traded, but practitioners have for a long time been aware of the dangers and limitations of credit models. It would seem that a lack of understanding of these models is the root cause of their failures but until now little analysis had been published on the subject and, when published, it had gained very limited attention. Credit Models and the Crisis is a succinct but technical analysis of the key aspects of the credit derivatives modeling problems, tracing the development (and flaws) of new quantitative methods for credit derivatives and CDOs up to and through the credit crisis. Responding to the immediate need for clarity in the market and academic research environments, this book follows the development of credit derivatives and CDOs at a technical level, analyzing the impact, strengths and weaknesses of methods ranging from the introduction of the Gaussian Copula model and the related implied correlations to the introduction of arbitrage-free dynamic loss models capable of calibrating all the tranches for all the maturities at the same time. It also illustrates the implied copula, a method that can consistently account for CDOs with different attachment and detachment points but not for different maturities, and explains why the Gaussian Copula model is still used in its base correlation formulation. The book reports both alarming pre-crisis research and market examples, as well as commentary through history, using data up to the end of 2009, making it an important addition to modern derivatives literature. With banks and regulators struggling to fully analyze at a technical level, many of the flaws in modern financial models, it will be indispensable for quantitative practitioners and academics who want to develop stable and functional models in the future.
Author: Damiano Brigo Publisher: John Wiley & Sons ISBN: 0470971436 Category : Business & Economics Languages : en Pages : 212
Book Description
The recent financial crisis has highlighted the need for better valuation models and risk management procedures, better understanding of structured products, and has called into question the actions of many financial institutions. It has become commonplace to blame the inadequacy of credit risk models, claiming that the crisis was due to sophisticated and obscure products being traded, but practitioners have for a long time been aware of the dangers and limitations of credit models. It would seem that a lack of understanding of these models is the root cause of their failures but until now little analysis had been published on the subject and, when published, it had gained very limited attention. Credit Models and the Crisis is a succinct but technical analysis of the key aspects of the credit derivatives modeling problems, tracing the development (and flaws) of new quantitative methods for credit derivatives and CDOs up to and through the credit crisis. Responding to the immediate need for clarity in the market and academic research environments, this book follows the development of credit derivatives and CDOs at a technical level, analyzing the impact, strengths and weaknesses of methods ranging from the introduction of the Gaussian Copula model and the related implied correlations to the introduction of arbitrage-free dynamic loss models capable of calibrating all the tranches for all the maturities at the same time. It also illustrates the implied copula, a method that can consistently account for CDOs with different attachment and detachment points but not for different maturities, and explains why the Gaussian Copula model is still used in its base correlation formulation. The book reports both alarming pre-crisis research and market examples, as well as commentary through history, using data up to the end of 2009, making it an important addition to modern derivatives literature. With banks and regulators struggling to fully analyze at a technical level, many of the flaws in modern financial models, it will be indispensable for quantitative practitioners and academics who want to develop stable and functional models in the future.
Author: Anthony Saunders Publisher: John Wiley & Sons ISBN: 0470622369 Category : Business & Economics Languages : en Pages : 373
Book Description
A classic book on credit risk management is updated to reflect the current economic crisis Credit Risk Management In and Out of the Financial Crisis dissects the 2007-2008 credit crisis and provides solutions for professionals looking to better manage risk through modeling and new technology. This book is a complete update to Credit Risk Measurement: New Approaches to Value at Risk and Other Paradigms, reflecting events stemming from the recent credit crisis. Authors Anthony Saunders and Linda Allen address everything from the implications of new regulations to how the new rules will change everyday activity in the finance industry. They also provide techniques for modeling-credit scoring, structural, and reduced form models-while offering sound advice for stress testing credit risk models and when to accept or reject loans. Breaks down the latest credit risk measurement and modeling techniques and simplifies many of the technical and analytical details surrounding them Concentrates on the underlying economics to objectively evaluate new models Includes new chapters on how to prevent another crisis from occurring Understanding credit risk measurement is now more important than ever. Credit Risk Management In and Out of the Financial Crisis will solidify your knowledge of this dynamic discipline.
Author: Frédéric Vrins Publisher: MDPI ISBN: 3039287605 Category : Business & Economics Languages : en Pages : 190
Book Description
Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored.
Author: Christian Bluhm Publisher: CRC Press ISBN: 1584889934 Category : Business & Economics Languages : en Pages : 386
Book Description
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: Anthony Saunders Publisher: Wiley ISBN: 9780470478349 Category : Business & Economics Languages : en Pages : 400
Book Description
A classic book on credit risk management is updated to reflect the current economic crisis Credit Risk Management In and Out of the Financial Crisis dissects the 2007-2008 credit crisis and provides solutions for professionals looking to better manage risk through modeling and new technology. This book is a complete update to Credit Risk Measurement: New Approaches to Value at Risk and Other Paradigms, reflecting events stemming from the recent credit crisis. Authors Anthony Saunders and Linda Allen address everything from the implications of new regulations to how the new rules will change everyday activity in the finance industry. They also provide techniques for modeling-credit scoring, structural, and reduced form models-while offering sound advice for stress testing credit risk models and when to accept or reject loans. Breaks down the latest credit risk measurement and modeling techniques and simplifies many of the technical and analytical details surrounding them Concentrates on the underlying economics to objectively evaluate new models Includes new chapters on how to prevent another crisis from occurring Understanding credit risk measurement is now more important than ever. Credit Risk Management In and Out of the Financial Crisis will solidify your knowledge of this dynamic discipline.
Author: Damiano Brigo Publisher: ISBN: Category : Collateralized debt obligations Languages : en Pages : 11
Book Description
"This paper describes the evolution of methodologies used to price credit derivatives and collateralised debt obligations (CDOs) : from the introduction of the Gaussian copula model and the related implied correlations, to the introduction of arbitrage-free dynamic loss models capable of calibrating all the tranches for all the maturities at the same time; and to the generalised Poisson loss (GPL) model in particular. The paper also discusses: (i) the implied copula model, which can consistently account for CDOs with different attachment and detachment points for a single maturity, and (ii) the notion of expected tranche loss, a model independent quantity that can be easily stripped from CDO data and may be useful for interpolation. The paper also notes that authors had raised objections to using Gaussian copulas and implied correlation in CDO modelling as far back as 2006, showing that the quantitative community was aware of these limitations before the cirsis. The authors also comment here on why the Gaussian copluas are still used to model CDOs. Overall, they conclude that more work needs to be done to improve the modelling of CDOs and credit derivatives."- -Abstract.
Author: Niklas Wagner Publisher: CRC Press ISBN: 1584889950 Category : Business & Economics Languages : en Pages : 600
Book Description
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 sectio
Author: Bruce G. Stevenson Publisher: Gatekeeper Press ISBN: 1662941986 Category : Business & Economics Languages : en Pages : 447
Book Description
Credit crises are catastrophic events in which banks and lenders suffer extreme losses when loans and other credit instruments default on a large scale and cause banks to fail in extraordinary numbers. Massive loss of economic value ensues, threatening the viability of national economies and the global financial system. The most recent credit crises, the 2007 Subprime Mortgage Crisis and 2007-2009 Great Recession, have striking parallels to the Roaring Twenties and the Great Depression. In both periods, rapid increases in the value of residential real estate fueled speculation in the housing and equity markets, and when the real estate bubbles burst, massive recessions and unemployment followed. In the eighty years between these catastrophes, several other credit crises occurred including a real estate investment trust crisis in the mid-1970s and a commercial real estate crisis in the late 1980s and early 1990s. Credit Crises: The Role of Excess Capital provides the first definitive explanation for these repetitive catastrophes: the Excess Capital Hypothesis (ECH). Written for bankers, bank regulators, finance professionals, and policymakers, Credit Crises provides a detailed explanation of how excess capital has been the driver of past credit crises. The ECH is the definitive roadmap for mitigating credit crises, and Credit Crises offers recommendations to bankers, bank regulators, and policymakers on how to prevent and lessen future crises.
Author: Wilson N. Sy Publisher: ISBN: Category : Languages : en Pages : 6
Book Description
Credit risk models have played a key part in the global credit crisis. The main shortcomings of these models are examined and a new causal framework is proposed to build deductive credit default models that have predictive capabilities.
Author: Gunter Löeffler Publisher: John Wiley & Sons ISBN: 0470660929 Category : Business & Economics Languages : en Pages : 372
Book Description
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.
Author: Damiano Brigo
Author: Damiano Brigo
Author: Anthony Saunders
Author: Frédéric Vrins
Author: Christian Bluhm
Author: Anthony Saunders
Author: Damiano Brigo
Author: Niklas Wagner
Author: Bruce G. Stevenson
Author: Wilson N. Sy
Author: Gunter Löeffler