Structured Credit Portfolio Analysis, Baskets and CDOs (Chapman and Hall/CRC Financial Mathematics Series)

The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities. Financial institutions continuously use these products for tailor-made long and short positions in credit risks. Based on a steadily growing market, there is a high demand for concepts and techniques applicable to the evaluation of structured credit products. Written from the perspective of practitioners who apply mathematical concepts to structured credit products, Structured Credit Portfolio Analysis, Baskets &amp; CDOs starts with a brief wrap-up on basic concepts of credit risk modeling and then quickly moves on to more advanced topics such as the modeling and evaluation of basket products, credit-linked notes referenced to credit portfolios, collateralized debt obligations, and index tranches. The text is written in a self-contained style so readers with a basic understanding of probability will have no difficulties following it. In addition, many examples and calculations have been included to keep the discussion close to business applications. Practitioners as well as academics will find ideas and tools in the book that they can use for their daily work.

Business & Money

Bluhm, Christian

Overbeck, Ludger

Finance

Chapman and Hall/CRC

Introduction to Credit Risk Modeling (Chapman and Hall/CRC Financial Mathematics Series)

Wagner, Christoph

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.

An Introduction to Credit Risk Modeling (Chapman & Hall/CRC Financial Mathematics Series)

Economics

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 <ul>
<li>An expanded section on techniques for the generation of loss distributions</li> <li>Introductory sections on new topics, such as spectral risk measures, an axiomatic approach to capital allocation, and nonhomogeneous Markov chains</li> <li>Updated sections on the probability of default, exposure-at-default, loss-given-default, and regulatory capital </li> <li>A new section on multi-period models</li> <li>Recent developments in structured credit</li> </ul> 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.

Jeder Kredit birgt für den Kreditgeber ein Risiko, da unsicher ist, ob Kreditnehmer ihren Zahlungsverpflichtungen nachkommen. Kreditrisiken werden mit Hilfe statistischer Methoden und mathematischer Modelle gemessen. Nicht zuletzt vor dem Hintergrund Basel II hat die quantitative Kreditrisikomessung in den letzten Jahren enorm an Bedeutung gewonnen. Mit zahlreichen praxisnahen Beispielen, der ideale Einstieg für Praktiker und Quereinsteiger.

Kreditrisikomessung: Statistische Grundlagen, Methoden und Modellierung (German Edition)

Fahrmeir, Ludwig

Henking, Andreas

Springer

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