Showing 1 - 10 of 139
I apply standard time series models to US housing prices. Forecasts made in 2005 or earlier would have produced stress scenarios that are worse than the subsequent actual change in housing prices. The probability of these scenarios is in the range that banks claim to consider in their risk...
Persistent link: https://www.econbiz.de/10005870835
Rating agencies claim to look through the cycle when assigning corporate credit ratings,which entails that they are able to separate trend components of default risk from transitoryones. To test whether agencies possess this competence, I take market-based estimates of oneyeardefault...
Persistent link: https://www.econbiz.de/10005870843
Rating agencies state that they take a rating action only when it is unlikely to bereversed shortly afterwards. Using a formal representation of the rating process, I showthat such a policy provides a good explanation for the empirical evidence: ratingchanges relatively seldom occur, they...
Persistent link: https://www.econbiz.de/10005870847
This paper assesses whether ratings or market-based credit risk measures are more suitable forformulating portfolio governance rules. Such rules, which consist of buy and sell restrictions,are commonly used in investment management. Based on data from 1983 to 2002, it is notevident that one of...
Persistent link: https://www.econbiz.de/10005870848
Using a structural model of default, I derive rating characteristics if ratings are meant tolook ‘through the cycle’ as opposed to being based on the borrowers’ current condition.The through-the-cycle method, which is employed by most rating agencies, requires aseparation of permanent and...
Persistent link: https://www.econbiz.de/10005870851
This paper uses Monte Carlo simulations to assess the impact of noisy inputparameters on the accuracy of estimated portfolio credit risk. Assumptionsabout input quality are derived from the distribution of historical samplestatistics commonly used in default risk modelling. The resulting...
Persistent link: https://www.econbiz.de/10005870876
Persistent link: https://www.econbiz.de/10000645216
Persistent link: https://www.econbiz.de/10003502382
Persistent link: https://www.econbiz.de/10009728475
Persistent link: https://www.econbiz.de/10010250252