Credit Risk Pricing with Quadratic Term Structure Model

Credit Risk Pricing with Quadratic Term Structure Model PDF Author: Yao Dong Li
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Category :
Languages : en
Pages : 0

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Credit Risk Pricing with Quadratic Term Structure Model

Credit Risk Pricing with Quadratic Term Structure Model PDF Author: Yao Dong Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Extended-Gaussian Term Structure Models and Credit Risk Applications

Extended-Gaussian Term Structure Models and Credit Risk Applications PDF Author: Marco Realdon
Publisher:
ISBN:
Category :
Languages : en
Pages :

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This paper presents three factor Extended Gaussian term structure models (EGM) to price default-free and defaultable bonds. To price default-free bonds EGM assume that the instantaneous interest rate is a possibly non-linear but monotonic function of three latent factors that follow correlated Gaussian processes. The bond pricing equation can be solved conveniently through separation of variables and finite difference methods. The merits of EGM are hetero-schedastic yields, unrestricted correlation between factors and the absence of the admissibility restrictions that affect canonical affine models. Unlike quadratic term structure models, EGM are amenable to maximum likelihood estimation, since observed yields are sufficient statistics to infer the latent factors. Empirical evidence from US Treasury yields shows that EGM fit observed yields quite well and are estimable. EGM are of even greater interest to price fixed and floating rate defaultable bonds. A reduced form, a credit rating based and a structural credit risk valuation model are presented: these credit risk models are EGM and their common merit is that bond pricing remains tractable through separation of variables even if interest rate risk and credit risk are arbitrarily correlated.

Credit Risk Pricing Models

Credit Risk Pricing Models PDF Author: Bernd Schmid
Publisher: Springer Science & Business Media
ISBN: 3540247165
Category : Business & Economics
Languages : en
Pages : 388

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Book Description
Credit Risk Pricing Models - now in its second edition - gives a deep insight into the latest basic and advanced credit risk modelling techniques covering not only the standard structural, reduced form and hybrid approaches but also showing how these methods can be applied to practice. The text covers a broad range of financial instruments, including all kinds of defaultable fixed and floating rate debt, credit derivatives and collateralised debt obligations.This volume will be a valuable source for the financial community involved in pricing credit linked financial instruments. In addition, the book can be used by students and academics for a comprehensive overview of the most important credit risk modelling issues.

Quadratic Models for Portfolio Credit Risk with Shot-noise Effects

Quadratic Models for Portfolio Credit Risk with Shot-noise Effects PDF Author:
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Category :
Languages : en
Pages :

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We propose a reduced form model for default that allows us to derive closed-form solutions to all the key ingredients in credit risk modeling: risk-free bond prices, defaultable bond prices (with and without stochastic recovery) and probabilities of survival. We show that all these quantities can be represented in general exponential quadratic forms, despite the fact that the intensity is allowed to jump producing shot-noise effects. In addition, we show how to price defaultable digital puts, CDSs and options on defaultable bonds. Further on, we study a model for portfolio credit risk where we consider both firm specific and systematic risks. The model generalizes the attempt from Duffie and Garleanu (2001). We find that the model produces realistic default correlation and clustering of defaults. Then, we show how to price first-to-default swaps, CDOs, and draw the link to currently proposed credit indices. -- Credit risk ; reduced-form models ; CDS ; CDO ; quadratic term structures ; shot-noise

Credit Risk: Modeling, Valuation and Hedging

Credit Risk: Modeling, Valuation and Hedging PDF Author: Tomasz R. Bielecki
Publisher: Springer Science & Business Media
ISBN: 3662048213
Category : Business & Economics
Languages : en
Pages : 517

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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.

Term-Structure Models

Term-Structure Models PDF Author: Damir Filipovic
Publisher: Springer Science & Business Media
ISBN: 3540680152
Category : Mathematics
Languages : en
Pages : 259

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Book Description
Changing interest rates constitute one of the major risk sources for banks, insurance companies, and other financial institutions. Modeling the term-structure movements of interest rates is a challenging task. This volume gives an introduction to the mathematics of term-structure models in continuous time. It includes practical aspects for fixed-income markets such as day-count conventions, duration of coupon-paying bonds and yield curve construction; arbitrage theory; short-rate models; the Heath-Jarrow-Morton methodology; consistent term-structure parametrizations; affine diffusion processes and option pricing with Fourier transform; LIBOR market models; and credit risk. The focus is on a mathematically straightforward but rigorous development of the theory. Students, researchers and practitioners will find this volume very useful. Each chapter ends with a set of exercises, that provides source for homework and exam questions. Readers are expected to be familiar with elementary Itô calculus, basic probability theory, and real and complex analysis.

Dynamic Term Structure Modeling

Dynamic Term Structure Modeling PDF Author: Sanjay K. Nawalkha
Publisher: John Wiley & Sons
ISBN: 0470140062
Category : Business & Economics
Languages : en
Pages : 722

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Book Description
Praise for Dynamic Term Structure Modeling "This book offers the most comprehensive coverage of term-structure models I have seen so far, encompassing equilibrium and no-arbitrage models in a new framework, along with the major solution techniques using trees, PDE methods, Fourier methods, and approximations. It is an essential reference for academics and practitioners alike." --Sanjiv Ranjan Das Professor of Finance, Santa Clara University, California, coeditor, Journal of Derivatives "Bravo! This is an exhaustive analysis of the yield curve dynamics. It is clear, pedagogically impressive, well presented, and to the point." --Nassim Nicholas Taleb author, Dynamic Hedging and The Black Swan "Nawalkha, Beliaeva, and Soto have put together a comprehensive, up-to-date textbook on modern dynamic term structure modeling. It is both accessible and rigorous and should be of tremendous interest to anyone who wants to learn about state-of-the-art fixed income modeling. It provides many numerical examples that will be valuable to readers interested in the practical implementations of these models." --Pierre Collin-Dufresne Associate Professor of Finance, UC Berkeley "The book provides a comprehensive description of the continuous time interest rate models. It serves an important part of the trilogy, useful for financial engineers to grasp the theoretical underpinnings and the practical implementation." --Thomas S. Y. Ho, PHD President, Thomas Ho Company, Ltd, coauthor, The Oxford Guide to Financial Modeling

Credit Risk

Credit Risk PDF Author: Darrell Duffie
Publisher: Princeton University Press
ISBN: 1400829178
Category : Business & Economics
Languages : en
Pages : 415

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Book Description
In this book, two of America's leading economists provide the first integrated treatment of the conceptual, practical, and empirical foundations for credit risk pricing and risk measurement. Masterfully applying theory to practice, Darrell Duffie and Kenneth Singleton model credit risk for the purpose of measuring portfolio risk and pricing defaultable bonds, credit derivatives, and other securities exposed to credit risk. The methodological rigor, scope, and sophistication of their state-of-the-art account is unparalleled, and its singularly in-depth treatment of pricing and credit derivatives further illuminates a problem that has drawn much attention in an era when financial institutions the world over are revising their credit management strategies. Duffie and Singleton offer critical assessments of alternative approaches to credit-risk modeling, while highlighting the strengths and weaknesses of current practice. Their approach blends in-depth discussions of the conceptual foundations of modeling with extensive analyses of the empirical properties of such credit-related time series as default probabilities, recoveries, ratings transitions, and yield spreads. Both the "structura" and "reduced-form" approaches to pricing defaultable securities are presented, and their comparative fits to historical data are assessed. The authors also provide a comprehensive treatment of the pricing of credit derivatives, including credit swaps, collateralized debt obligations, credit guarantees, lines of credit, and spread options. Not least, they describe certain enhancements to current pricing and management practices that, they argue, will better position financial institutions for future changes in the financial markets. Credit Risk is an indispensable resource for risk managers, traders or regulators dealing with financial products with a significant credit risk component, as well as for academic researchers and students.

Credit Risk Valuation

Credit Risk Valuation PDF Author: Manuel Ammann
Publisher: Springer Science & Business Media
ISBN: 3662064251
Category : Business & Economics
Languages : en
Pages : 259

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Book Description
This book offers an advanced introduction to models of credit risk valuation, concentrating on firm-value and reduced-form approaches and their application. Also included are new models for valuing derivative securities with credit risk. The book provides detailed descriptions of the state-of-the-art martingale methods and advanced numerical implementations based on multivariate trees used to price derivative credit risk. Numerical examples illustrate the effects of credit risk on the prices of financial derivatives.

Credit Risk Modeling

Credit Risk Modeling PDF 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.