Credit risk: modeling, valuation and hedging / Tomasz R. Bielecki; Marek . II is adapted from papers by Jeanblanc and Rutkowski (a, b, ). Credit Risk: Modeling, Valuation and Hedging. Front Cover · Tomasz R. Bielecki, Marek Rutkowski. Springer Science & Business Media, Jan 22, Tomasz R. Bielecki. Marek Rutkowski. Credit Risk: Modeling, Valuation and Hedging Quantitative Models of Credit Risk. Structural Models.
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Rutkowski Credit Risk Modeling, Valuation and Hedging “A fairly complete overview of the most important recent developments of credit risk modelling from the viewpoint of mathematical finance. It provides an excellent treatment of mathematical aspects of credit valutaion and will also be useful as a reference for technical details to traders and analysts dealing with credit-risky assets.
It is a worthwhile addition to the literature and will serve as highly recommended reading for students and researchers in the znd area for some years to come.
An important feature of this book is its attempt to bridge the gap between the mathematical theory of credit risk and the financial practice. Hhedging content of this book provides an indispensable guide to graduate students, researchers, and also to advanced practitioners in the fields The main objective of Credit Risk: Modeling, Valuation and Hedging is to present a comprehensive survey of the past developments in the area of credit risk research, as well as to put forth the most recent advancements in this field.
An hedglng 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. Mathematical developments are presented in a thorough manner and cover the hedgung value-of-the-firm and the reduced 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 volume 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 engaged in managing credit-risk sensitive 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 aquaintance with arbitrage pricing theory is also valuatkon. A systematic exposition of mathematical techniques underlying the intensity-based approach is however provided.
Credit Risk: Modeling, Valuation and Hedging : Tomasz R. Bielecki :
Models of Neurons and Perceptrons: Skickas inom vardagar. 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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