Credit Risk - Models, Derivatives, and Management

Book Details

Title	Credit Risk: Models, Derivatives, and Management
Editor	Niklas Wagner
Publisher	CRC Press
Year	2008
Edition	1st Edition
Language	English
Pages	574
ISBN	9781584889946
Genre	Finance, Risk Management, Quantitative Finance
Series	Chapman & Hall/CRC Financial Mathematics Series
Size	6.6 MB
Extension	PDF

Summary

Credit Risk: Models, Derivatives, and Management is a comprehensive edited volume published by CRC Press in 2008 as part of the Chapman & Hall/CRC Financial Mathematics Series. Edited by Niklas Wagner, Professor of Finance at the University of Passau, the book brings together contributions from leading international academics and practitioners to address one of the most critical challenges in modern finance: the measurement, pricing, and management of credit risk [citation:5][citation:6]. At a time when credit derivatives were expanding rapidly and the limitations of traditional credit risk models were becoming increasingly apparent, this volume offered a timely synthesis of theoretical advances and practical applications, covering everything from single-name credit default swap valuation to the pricing of collateralized debt obligations [citation:8].

The book is organized into six distinct parts that guide the reader through the landscape of credit risk. Part I examines credit derivative products, including single-name credit default swaps, counterparty risk valuation, and integrated credit portfolio management [citation:8]. Part II focuses on credit spreads and their determinants, with chapters analyzing the iTraxx CDS index market, industry-based investigations of CDS pricing, and credit spread dynamics in Latin America [citation:1][citation:8]. Part III addresses credit risk modeling and pricing, covering the evaluation of credit risk models, the pricing of CDX credit default swaps using CreditGrades and trinomial trees, and the application of the Hull-White model [citation:8]. Parts IV through VI delve into default and recovery risk, credit ratings, dependence modeling using copulas, and the pricing of tranched credit products and CDOs [citation:8]. This structure ensures that both the theoretical foundations and the practical implementation of credit risk systems are thoroughly addressed.

What distinguishes this volume is its explicit aim to bridge the gap between academic research and industry practice. The contributing authors include both scholars and professionals working in financial institutions, ensuring that the models and techniques presented are not merely theoretical constructs but have been tested against real-world data and market conditions [citation:6]. The book includes empirical studies on corporate bankruptcies such as Tyco, Worldcom, Enron, and Parmalat, and examines credit risk management within the Basel II framework . For practitioners seeking to implement or improve a credit risk management system, the book provides a coherent framework: an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results [citation:6]. This tripartite approach reflects the editor's conviction that effective risk management requires the integration of conceptual understanding, quantitative modeling, and empirical validation.

The primary audience for this book includes quantitative analysts, risk managers, and financial engineers working in banking and asset management, as well as graduate students and researchers in finance and financial mathematics. The level of mathematical sophistication varies across chapters, with some contributions requiring familiarity with stochastic calculus and copula theory while others are more accessible to readers with a general finance background. The book is not intended for beginners; it assumes a solid understanding of financial instruments and quantitative methods. However, for those with the requisite background, it serves as an invaluable reference that captures the state of credit risk modeling at a pivotal moment in the evolution of the field, just before the global financial crisis would dramatically reshape both the theory and practice of credit risk management.

Niklas Wagner's editorial oversight lends the volume coherence and authority. As a professor with a PhD in finance, postdoctoral experience at UC Berkeley and Stanford, and research interests spanning asset management, empirical asset pricing, and risk management, Wagner was well positioned to assemble a collection that balances rigor with relevance [citation:5]. The book remains a useful reference for understanding the quantitative foundations of credit risk management, even as the field has continued to evolve. Its comprehensive coverage of credit derivatives, from plain vanilla CDS to complex CDO structures, provides a historical snapshot of the financial instruments and modeling techniques that dominated the pre-crisis landscape, making it valuable both as a technical reference and as a document of its era.

Key Features

• The volume is edited by Niklas Wagner, Professor of Finance at the University of Passau, and published as part of the Chapman & Hall/CRC Financial Mathematics Series [citation:5][citation:6].
• It brings together contributions from both leading academics and industry practitioners, ensuring a balance between theoretical rigor and practical application [citation:6].
• The book is organized into six parts covering credit derivatives, credit spreads, modeling and pricing, default and recovery risk, dependence modeling, and the pricing of tranched products and CDOs [citation:8].
• It includes detailed coverage of credit derivative products such as single-name credit default swaps, iTraxx Futures, iTraxx Default Swaptions, and constant proportion debt obligations [citation:6].
• Empirical studies examine corporate bankruptcies including Tyco, Worldcom, Enron, and Parmalat, providing real-world context for the theoretical models .
• The book addresses the Basel II framework, with a dedicated chapter testing the accuracy of Basel II models [citation:8].
• It explores credit spread determinants through industry-based investigations and evidence from Latin American markets [citation:1][citation:8].
• Chapters on dependence modeling cover copula-based approaches, correlated default processes, and extreme dependence in CDX index correlation [citation:8].
• The final section addresses the pricing of complex structured products, including CDO tranches and collateralized debt obligations, using multifactor models and Monte Carlo methods [citation:8].
• The book illustrates how a risk management system can be implemented through understanding portfolio credit risks, selecting suitable models, and deriving reliable empirical results [citation:6].
• It provides a comprehensive reference for quantitative analysts and risk managers working with credit derivatives and structured credit products.
• The volume captures the state of credit risk modeling in 2008, serving as a historical document of pre-crisis financial theory and practice.

About Author

Niklas Wagner is Professor of Finance and Financial Control at the University of Passau, Germany, where he holds the Chair in Finance and Financial Control in the Department of Business, Economics and Information Systems [citation:5]. Born in 1969 in Cape Town, he studied business administration at the University of Augsburg from 1989 to 1994, then worked as a portfolio manager in the Treasury division of Bayerische Vereinsbank AG in Munich while completing his external doctorate at the Institute of Statistics and Mathematical Economic Theory at Augsburg [citation:12]. He received a two-year research fellowship from the German Research Foundation (DFG) for postdoctoral work at the Haas School of Business, UC Berkeley, and Stanford Graduate School of Business [citation:5][citation:12].

Wagner completed his habilitation at TU Munich in 2004 with a thesis on modeling and managing financial risks, and subsequently held positions at TU Dresden, TU Munich, and Leibniz University Hannover before joining the University of Passau in 2007 as holder of the DekaBank Foundation Chair [citation:12]. His research interests encompass asset management, empirical asset pricing, applied financial econometrics, and derivatives and risk management [citation:5]. In 2009, Handelsblatt's ranking listed him among the top 100 researchers under 40 in the German-speaking business administration community. He serves as Editor-in-Chief of Studies in Economics and Finance and as an associate editor for several journals including Economic Modelling and Finance Research Letters [citation:5]. His professional industry background includes quantitative asset management with HypoVereinsbank, and he has taught at institutions including EDHEC Business School and Corvinus University Budapest.

Related Books

• Credit Risk Modeling: Theory and Applications — David Lando
• Credit Derivatives Pricing Models — Philipp J. Schönbucher
• Credit Risk: Pricing, Measurement, and Management — Darrell Duffie and Kenneth J. Singleton
• Structured Credit Products: Credit Derivatives and Synthetic Securitisation — Moorad Choudhry
• The Basel II Use Test: Empirical Evidence and Implications — Niklas Wagner (Editor)
• Risk Management and Financial Institutions — John C. Hull
• Quantitative Risk Management: Concepts, Techniques and Tools — Alexander J. McNeil, Rüdiger Frey, and Paul Embrechts
• Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS — Bart Baesens, Daniel Rösch, and Harald Scheule

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FAQ

Q : Is Credit Risk: Models, Derivatives, and Management suitable for someone without a strong quantitative background?

R : The book assumes a solid foundation in finance and quantitative methods. While some chapters are more accessible than others, many require familiarity with stochastic calculus, copula theory, and derivatives pricing. It is primarily intended for quantitative analysts, risk managers, graduate students, and researchers. Readers without this background may find the material challenging, though the introductory chapters and the more empirically oriented sections can still provide valuable insights into the credit risk landscape.

Q : What distinguishes this book from a standard textbook on credit risk?

R : Unlike a single-authored textbook, this volume brings together contributions from multiple academics and practitioners, offering a diversity of perspectives and techniques. It explicitly aims to bridge theory and practice, with empirical studies and industry applications complementing the theoretical models. The coverage of specific credit derivative products like iTraxx Futures and constant proportion debt obligations reflects the market realities of the time, making it more practically oriented than purely theoretical treatments [citation:6].

Q : Does the book cover the Basel II framework?

R : Yes, the book includes a dedicated chapter titled "Tests on the Accuracy of Basel II," which examines the empirical performance of the Basel II framework [citation:8]. This reflects the importance of regulatory capital requirements in credit risk management and the need to validate the models used for regulatory purposes. The chapter contributes to the broader discussion of how well the Basel II framework captures actual credit risk and where its limitations may lie.

Q : What is the significance of the book's publication date of 2008?

R : The book was published in May 2008, just months before the collapse of Lehman Brothers and the onset of the global financial crisis. It therefore captures the state of credit risk modeling and credit derivative markets at the peak of their pre-crisis development. The instruments and techniques it describes, including complex CDO structures and correlation trading, would become central to the crisis. Reading the book today offers a historical perspective on the assumptions and practices that prevailed before the crisis reshaped the field.

Q : Who is Niklas Wagner and what are his qualifications?

R : Niklas Wagner is Professor of Finance and Financial Control at the University of Passau, Germany. He holds a PhD in finance and completed postdoctoral work at UC Berkeley and Stanford. His research covers asset management, empirical asset pricing, and risk management, and he has been recognized among the top researchers in German-speaking business administration. He serves as Editor-in-Chief of Studies in Economics and Finance and has extensive experience teaching at institutions across Europe [citation:5][citation:12].

Q : Does the book address copula models and dependence modeling?

R : Yes, Part V of the book is dedicated to credit risk dependence and dependent defaults. It includes chapters on correlation risk, copula-based default dependence modeling, correlated default processes using a criterion-based copula approach, and systematic credit risk in CDX index correlation [citation:8]. These topics were particularly relevant at the time, as the Gaussian copula model was widely used in the pricing of CDOs and other structured credit products, a practice that would later come under intense scrutiny during the financial crisis.

Q : Is the book still relevant given developments in credit risk since 2008?

R : The book remains valuable as a comprehensive reference on the quantitative techniques and market instruments of the pre-crisis era. While regulatory frameworks and market structures have evolved significantly since 2008, the fundamental mathematical models for pricing credit derivatives and measuring credit risk remain relevant. The empirical studies and the detailed treatment of credit spread determinants continue to offer insights. However, readers should supplement it with more recent literature for post-crisis regulatory changes and the latest modeling approaches.

Q : What is the Chapman & Hall/CRC Financial Mathematics Series?

R : The Chapman & Hall/CRC Financial Mathematics Series is a well-established collection of books covering quantitative finance, including derivatives pricing, risk management, and mathematical finance theory. It publishes both monographs and edited volumes aimed at researchers and practitioners. Credit Risk: Models, Derivatives, and Management is one of the edited volumes in this series, reflecting the series' commitment to publishing comprehensive and authoritative treatments of specialized topics in financial mathematics [citation:6].