This paper incorporates state dependent correlations (those that vary systematically with the state of the economy) into the Vasicek default model. Other approaches to randomizing correlation in the Vasicek model have either assumed that correlation is independent of the systematic risk factor (zero state dependence) or is an explicit function of the systematic risk factor (perfect state dependence). By contrast, our approach allows for an arbitrary degree of state dependence and includes both zero and perfect state dependence as special cases. This is accomplished by expressing the factor loading as a function of an auxiliary (Gaussian) variable that is correlated with the systematic risk factor. Using Federal Reserve data on delinquency r...
Three coupling schemes for generating dependent credit rating transitions are compared and empirical...
In an effort to incorporate the date of claims in risk prediction, Pinquet, Guill ́en & Bolanc ́e (2...
This thesis represents an attempt to provide a deeper knowledge of the finite sample properties of s...
Risk-weight function is the most popular formula for banking regulations used to calculate the amoun...
In this paper, we propose a Vasicek-type of models for estimating portfolio level probability of def...
<p>(A) Correlations between the fitted risk parameters in the satiated state and in the deprived sta...
Abstract: We outline the ingredients necessary to compute the Joint Default Probability from which w...
Abstract. Modern risk management calls for an understanding of stochastic dependence going beyond si...
This report analyzes reduced-from credit risk models, and reviews the three main approaches to incor...
Title: Study of the dependence structure in economic and financial data Author: Radana Hlavandová De...
Modern risk management calls for an understanding of stochastic dependence going beyond simple linea...
This report analyzes reduced-form credit risk models, and reviews the three main approaches to incor...
We describe stationarity and ergodicity (SE) regions for a recently proposed class of score driven d...
Abstract. Modern risk management calls for an understanding of stochastic de-pendence going beyond s...
We consider a system where the asset values of firms are correlated with the default thresholds. We ...
Three coupling schemes for generating dependent credit rating transitions are compared and empirical...
In an effort to incorporate the date of claims in risk prediction, Pinquet, Guill ́en & Bolanc ́e (2...
This thesis represents an attempt to provide a deeper knowledge of the finite sample properties of s...
Risk-weight function is the most popular formula for banking regulations used to calculate the amoun...
In this paper, we propose a Vasicek-type of models for estimating portfolio level probability of def...
<p>(A) Correlations between the fitted risk parameters in the satiated state and in the deprived sta...
Abstract: We outline the ingredients necessary to compute the Joint Default Probability from which w...
Abstract. Modern risk management calls for an understanding of stochastic dependence going beyond si...
This report analyzes reduced-from credit risk models, and reviews the three main approaches to incor...
Title: Study of the dependence structure in economic and financial data Author: Radana Hlavandová De...
Modern risk management calls for an understanding of stochastic dependence going beyond simple linea...
This report analyzes reduced-form credit risk models, and reviews the three main approaches to incor...
We describe stationarity and ergodicity (SE) regions for a recently proposed class of score driven d...
Abstract. Modern risk management calls for an understanding of stochastic de-pendence going beyond s...
We consider a system where the asset values of firms are correlated with the default thresholds. We ...
Three coupling schemes for generating dependent credit rating transitions are compared and empirical...
In an effort to incorporate the date of claims in risk prediction, Pinquet, Guill ́en & Bolanc ́e (2...
This thesis represents an attempt to provide a deeper knowledge of the finite sample properties of s...