Princeton University Press – 2004, 328 pages ISBN: 0691089299, 978-0691089294Credit 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
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John Wiley & Sons, 2008. — 494 p. — (Market Risk Analysis, Vol. IV).
Value at Risk and Other Risk Metrics.
An Overview of Market Risk Assessment.
Risk Measurement in Banks.
Risk Measurement in Portfolio Management.
Risk Measurement in Large Corporations.
Downside and Quantile Risk Metrics.
Semi-Standard Deviation and Second Order Lower.
Oxford University Press, 2007. - 790 p. ISBN: 0199226407
Credit scoring aims to quantify the likelihood of a prospective borrower defaulting on payment over a specified period of time. The credit score is calculated using increasingly sophisticated statistical models, which vary considerably between individual cases. This clearly-written and comprehensive text covers the...
Risk Books, 2012. — 527 p. — ISBN: 9781906348588
The author, Terry Benzschawel, succeeds in breaking down credit risk modelling into something that is easy to understand. The book does three main things: Describe data, theory and applications regarding corporations and sovereign nations likelihoods of default. Explain how the market prices the risk of default and its associated...
Chapman & Hall/CRC, Baco Raton, 2003. — 285 p.
The Basics of Credit Risk Management:
Regulatory Capital and the Basel Initiative.
Modeling Correlated Defaults:
The Bernoulli Model;
The Poisson Model;
Bernoulli Versus Poisson Mixture;
An Overview of Today’s Industry Models;
Loss Distributions by Means of Copula...
Princeton University Press, 2005. — 538 p.
The implementation of sound quantitative risk models is a vital concern for all financial institutions, and this trend has accelerated in recent years with regulatory processes such as Basel II. This book provides a comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management and equips...
Wiley, 2013. – 775 p. – ISBN: 1118278542, 9781118278543.
Practical tools and advice for managing financial risk, updated for a post-crisis world.
Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the...