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Full Description
The main theme of this volume is credit risk and credit derivatives. Recent developments in financial markets show that appropriate modeling and quantification of credit risk is fundamental in the context of modern complex structured financial products. The reader will find several points of view on credit risk when looked at from the perspective of Econometrics and Financial Mathematics. The volume consists of eleven contributions by both practitioners and theoreticians with expertise in financial markets, in general, and econometrics and mathematical finance in particular. The challenge of modeling defaults and their correlations is addressed, and new results on copula, reduced form and structural models, and the top-down approach are presented. After the so-called subprime crisis that hit global markets in the summer of 2007, the volume is very timely and will be useful to researchers in the area of credit risk.
Contents
Fast solution of the Gaussian copula model.
An empirical study of pricing and hedging collateralized debt obligation (CDO).
The skewed t.
Credit risk dependence modeling with dynamic copula: An application to CDO tranches.
Perturbed Gaussian copula.
The determinants of default correlations.
Data mining procedures in generalized Cox regressions.
Jump diffusion in credit barrier modeling: a partial integro-differential equation approach.
Bond markets with stochastic volatility.
Two-Dimensional Markovian Model for Dynamics of Aggregate Credit Loss.
Credit derivatives and risk aversion.
Introduction.
List of Contributors.
Advances in Econometrics.
Econometrics and risk management.
Copyright page.
