Measuring Corporate Default Risk PDF Download

Author: Darrell Duffie
Publisher: Oxford University Press
ISBN: 0199279233
Category : Business & Economics
Languages : en
Pages : 122

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public corporations since 1980.

Author: Thomas B. Fomby
Publisher: Emerald Group Publishing
ISBN: 1848551967
Category : Business & Economics
Languages : en
Pages : 302

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Book Description
Covers credit risk and credit derivatives. This book offers several points of view on credit risk when looked at from the perspective of Econometrics and Financial Mathematics. It addresses the challenge of modeling defaults and their correlations, and results on copula, reduced form and structural models, and the top-down approach.

Author: Tomasz R. Bielecki
Publisher: Springer Science & Business Media
ISBN: 9783540675938
Category : Business & Economics
Languages : en
Pages : 524

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Book Description
The motivation for the mathematical modeling studied in this text on developments in credit risk research is the bridging of the gap between mathematical theory of credit risk and the financial practice. Mathematical developments are covered thoroughly and give the structural and reduced-form approaches to credit risk modeling. Included is a detailed study of various arbitrage-free models of default term structures with several rating grades.

Author: Santiago Carrillo Menéndez
Publisher: American Mathematical Soc.
ISBN: 0821846736
Category : Business & Economics
Languages : en
Pages : 158

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Book Description
The paper by R. Zagst and M. Scherer is a short course on the different approaches used for pricing, hedging and risk management of credit derivatives. --

Author: CIME-EMS Summer School
Publisher: Springer Science & Business Media
ISBN: 9783540229537
Category : Finance
Languages : en
Pages : 328

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Author: Philipp J. Schönbucher
Publisher: John Wiley & Sons
ISBN: 0470868171
Category : Business & Economics
Languages : en
Pages : 396

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Book Description
The credit derivatives market is booming and, for the first time, expanding into the banking sector which previously has had very little exposure to quantitative modeling. This phenomenon has forced a large number of professionals to confront this issue for the first time. Credit Derivatives Pricing Models provides an extremely comprehensive overview of the most current areas in credit risk modeling as applied to the pricing of credit derivatives. As one of the first books to uniquely focus on pricing, this title is also an excellent complement to other books on the application of credit derivatives. Based on proven techniques that have been tested time and again, this comprehensive resource provides readers with the knowledge and guidance to effectively use credit derivatives pricing models. Filled with relevant examples that are applied to real-world pricing problems, Credit Derivatives Pricing Models paves a clear path for a better understanding of this complex issue. Dr. Philipp J. Schönbucher is a professor at the Swiss Federal Institute of Technology (ETH), Zurich, and has degrees in mathematics from Oxford University and a PhD in economics from Bonn University. He has taught various training courses organized by ICM and CIFT, and lectured at risk conferences for practitioners on credit derivatives pricing, credit risk modeling, and implementation.

Author: Walter V. "Bud" Haslett, Jr.
Publisher: John Wiley & Sons
ISBN: 0470934115
Category : Business & Economics
Languages : en
Pages : 790

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Book Description
Key readings in risk management from CFA Institute, the preeminent organization representing financial analysts Risk management may have been the single most important topic in finance over the past two decades. To appreciate its complexity, one must understand the art as well as the science behind it. Risk Management: Foundations for a Changing Financial World provides investment professionals with a solid framework for understanding the theory, philosophy, and development of the practice of risk management by Outlining the evolution of risk management and how the discipline has adapted to address the future of managing risk Covering the full range of risk management issues, including firm, portfolio, and credit risk management Examining the various aspects of measuring risk and the practical aspects of managing risk Including key writings from leading risk management practitioners and academics, such as Andrew Lo, Robert Merton, John Bogle, and Richard Bookstaber For financial analysts, money managers, and others in the finance industry, this book offers an in-depth understanding of the critical topics and issues in risk management that are most important to today’s investment professionals.

Author: Yuliya Demyanyk
Publisher:
ISBN: 9788275533621
Category : Banks and banking
Languages : en
Pages : 0

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Author: Jiro Akahori
Publisher: World Scientific
ISBN: 9812565191
Category : Mathematics
Languages : en
Pages : 228

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Book Description
Based around recent lectures given at the prestigious Ritsumeikan conference, the tutorial and expository articles contained in this volume are an essential guide for practitioners and graduates alike who use stochastic calculus in finance.Among the eminent contributors are Paul Malliavin and Shinzo Watanabe, pioneers of Malliavin Calculus. The coverage also includes a valuable review of current research on credit risks in a mathematically sophisticated way contrasting with existing economics-oriented articles.

Author: David Lando
Publisher: Princeton University Press
ISBN: 1400829194
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
Credit 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.