In recessions, the number of defaulting firms rises. On top of this, the av-erage amount recovered on the bonds of defaulting firms tends to decrease, amplifying the systematic component of credit risk. This paper proposes an econometric model which allows for time-variation in default rates and recov-ery rate distributions via an unobserved Markov chain, which we interpret as the “credit cycle”. The model allows measuring the quantitative importance of the amplification of losses via time-variation in recovery rate distributions. Our estimates indicate that it does amplify losses, but to a smaller extent than previously suggested
This paper provides evidence for the relationship between credit quality, recovery rate, and correla...
We model 1927-1997 US business failure rates using an unobserved components time series model. Clear...
This paper analyzes the association between aggregate default and recovery rates on credit assets, a...
In recessions, the number of defaulting firms rises. On top of this, the average amount recovered on...
Default probabilities and recovery rate densities are not constant over the credit cycle; yet many m...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
Evidence from many countries in recent years suggests that collateral values and recovery rates (RRs...
There has been increasing support in the empirical literature that both the probability of default (...
There is empirical evidence that recovery rates tend to go down just when the number of defaults goe...
This paper analyzes the impact of various assumptions about the association between aggregate defaul...
We start by presenting a reduced-form multiple default type of model and derive ab-stract results on...
This paper provides evidence for the relationship between credit quality, recovery rate, and correla...
In this paper, we look at the problem of modelling the temporal dependence of defaults and introduce...
The expected loss (EL), or the present value of the EL are probably the most important measures to q...
This paper provides evidence for the relationship between credit quality, recovery rate, and correla...
We model 1927-1997 US business failure rates using an unobserved components time series model. Clear...
This paper analyzes the association between aggregate default and recovery rates on credit assets, a...
In recessions, the number of defaulting firms rises. On top of this, the average amount recovered on...
Default probabilities and recovery rate densities are not constant over the credit cycle; yet many m...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
Evidence from many countries in recent years suggests that collateral values and recovery rates (RRs...
There has been increasing support in the empirical literature that both the probability of default (...
There is empirical evidence that recovery rates tend to go down just when the number of defaults goe...
This paper analyzes the impact of various assumptions about the association between aggregate defaul...
We start by presenting a reduced-form multiple default type of model and derive ab-stract results on...
This paper provides evidence for the relationship between credit quality, recovery rate, and correla...
In this paper, we look at the problem of modelling the temporal dependence of defaults and introduce...
The expected loss (EL), or the present value of the EL are probably the most important measures to q...
This paper provides evidence for the relationship between credit quality, recovery rate, and correla...
We model 1927-1997 US business failure rates using an unobserved components time series model. Clear...
This paper analyzes the association between aggregate default and recovery rates on credit assets, a...