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Credit Risk (Springer Finance)

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Synopses & Reviews

Publisher Comments:

Mathematical finance and financial engineering have been rapidly expanding fields of science over the past three decades. The main reason behind this phenomenon has been the success of sophisticated quantitative methodologies in helping professionals to manage financial risks. The newly developed credit derivatives industry has grown around the need to handle credit risk, which is one of the fundamental factors of financial risk. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better apprehending, modeling and hedging of this kind of risk. One of the objectives has been to understand links between credit risk and other major sources of uncertainty, such as the market risk or the liquidity risk. The main objective of this monograph is to present a comprehensive survey ofthe past developments in the area of credit risk research, as well as put forth the most recent advancements in this field. An important aspect of this text is that it attempts to bridge the gap between the mathematical theory of credit risk and the financial practice, which serves as the motivation for the mathematical modeling studied in the book. Mahtematical developments are presented in a thorough manner and cover the structural (value-of-the-firm) and the reduced-form (intensity-based) approaches to credit risk modeling, applied both to single and to multiple defaults. In particular, the book offers a detailed study of various arbitrage-free models of defaultable term structures with several rating grades. This book will serve as a valuable reference for financial analysts and traders involved with credit derivatives. Some aspects of the book may also be useful for market practitioners with managing credit-risk sensitives portfolios. Graduate students and researchers in areas such as finance theory, mathematical finance, financial engineering and probability theory will benefit from the book as well. On the technical side, readers are assumed to be familiar with graduate level probability theory, theory of stochastic processes, and elements of stochastic analysis and PDEs; some acquaintance with arbitrage pricing theory is also

Synopsis:

Methodologies aimed at modelling, valuation and hedging of credit risk are presented here. These methodologies are based on martingale methods, combined with the analysis of random times and the theory of non-stationary Markov chains and jump processes.

Synopsis:

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.

About the Author

 1

Table of Contents

Introduction to Credit Risk.- Properties of Random Times.- Analysis of Jump Processes.- Defaultable Corporate Debt: Structural Approach.- Valuation of Defaultable Claims: Intensity-Based Approach.- Modelling of Defaultable Term Structure.- Hedging of Credit Risk.- Credit Derivatives.- Credit Risk Management.

Product Details

ISBN:
9783540675938
Author:
Bielecki, Tomasz R.
Author:
Rutkowski, Marek
Author:
Bielecki, T. R.
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Finance
Subject:
Statistics
Subject:
Accounting - General
Subject:
Risk management
Subject:
Mathematical models
Subject:
Credit
Subject:
Credit derivatives
Subject:
Credit Risk
Subject:
60G44
Subject:
60H05
Subject:
60J27
Subject:
91B28
Subject:
91B70
Subject:
Arbitrage pricing
Subject:
defaultable bonds
Subject:
dynamic hedging
Subject:
Quantitative Finance
Subject:
Probability Theory and Stochastic Processes This book will be an important reference for practitioners involved with managing portfolios sensitive to credit risk. Graduate students and researchers in mathematical finance, financial engineering, finance an
Subject:
Business-Accounting and Finance
Subject:
Game Theory
Subject:
Probability Theory and Stochastic Processes
Subject:
Applied
Subject:
Mathematics
Subject:
B
Subject:
mathematics and statistics
Subject:
Distribution (Probability theory)
Copyright:
Edition Number:
1
Edition Description:
2002. Corr. 2nd
Series:
Springer Finance
Series Volume:
107-198
Publication Date:
January 2002
Binding:
HARDCOVER
Language:
English
Pages:
519
Dimensions:
235 x 155 mm 2000 gr

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Credit Risk (Springer Finance) New Hardcover
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Product details 519 pages Springer-Verlag - English 9783540675938 Reviews:
"Synopsis" by , Methodologies aimed at modelling, valuation and hedging of credit risk are presented here. These methodologies are based on martingale methods, combined with the analysis of random times and the theory of non-stationary Markov chains and jump processes.
"Synopsis" by , 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.
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