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.
This book is up-to-date as it covers many of the important developments which have occurred in the credit derivatives market in the past 4-5 years. These include the arrival of the CDS portfolio indices and all of the products based on these indices. In terms of models, this book covers the challenge of modelling single-tranche CDOs in the presence of the correlation skew, as well as the pricing and risk of more recent products such as constant maturity CDS, portfolio swaptions, CDO squareds, credit CPPI and credit CPDOs.
The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia of Financial Models has been created to help a broad spectrum of individuals?ranging from finance professionals to academics and students?understand financial modeling and make use of the various models currently available.
Incorporating timely research and in-depth analysis, Volume 1 of the Encyclopedia of Financial Models covers both established and cutting-edge models and discusses their real-world applications. Edited by Frank Fabozzi, this volume includes contributions from global financial experts as well as academics with extensive consulting experience in this field. Organized alphabetically by category, this reliable resource consists of thirty-nine informative entries and provides readers with a balanced understanding of today?s dynamic world of financial modeling.
? Volume 1 addresses Asset Pricing Models, Bayesian Analysis and Financial Modeling Applications, Bond Valuation Modeling, Credit Risk Modeling, and Derivatives Valuation
? Emphasizes both technical and implementation issues, providing researchers, educators, students, and practitioners with the necessary background to deal with issues related to financial modeling
? The 3-Volume Set contains coverage of the fundamentals and advances in financial modeling and provides the mathematical and statistical techniques needed to develop and test financial models
Financial models have become increasingly commonplace, as well as complex. They are essential in a wide range of financial endeavors, and the Encyclopedia of Financial Models will help put them in perspective.
Ratings, Rating Agencies and the Global Financial System brings together the research of economists at New York University and the University of Maryland, along with those from the private sector, government bodies, and other universities. The first section of the volume focuses on the historical origins of the credit rating business and its present day industrial organization structure. The second section presents several empirical studies crafted largely around individual firm-level or bank-level data. These studies examine (a) the relationship between ratings and the default and recovery experience of corporate borrowers, (b) the comparability of credit ratings made by domestic and foreign rating agencies, and (c) the usefulness of financial market indicators for rating banks, among other topics. In the third section, the record of sovereign credit ratings in predicting financial crises and the reaction of financial markets to changes in credit ratings is examined. The final section of the volume emphasizes policy issues now facing regulators and credit rating agencies.
The importance of the IOS concept is beginning to be acknowledged in the literature of empirical accounting, finance, and management. There, the investment opportunity set is introduced as an explanatory or moderating variable of the relationship between accounting and economic phenomena and various predictor variables. Riahi-Belkaoui explicates a concept of growth opportunities or IOS (Chapter 1) and provides a general model for its measurement (Chapter 2). He shows its role in a general valuation model based on dividend yield and price earnings ratio (Chapter 3), in the relationship between profitability and multinationality (Chapter 4), in the determination of capital structure (Chapter 5), in a general model of international production (Chapter 6), in a general model of corporate disclosure (Chapter 7), in the relationship between systematic risk and multinationality (Chapter 8), in a model of reputation building (Chapter 9), and earnings management (Chapter 10). He goes on to discuss its role in explaining the relative market value compared to the accounting value of a multinational firm in Chapter 11, and in differentiating between the usefulness of accrual and cash flow based on valuation models in Chapter 12.