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In this paper we use a reduced form model for the analysis of Portfolio Credit Risk. For this purpose, we fit a Dynamic Factor model, DF, to a large dataset of default rates proxies and macrovariables for Italy. Multi step ahead density and probability forecasts are obtained by employing both...
Persistent link: https://www.econbiz.de/10013159689
In this paper we use a reduced form model for the analysis of Portfolio Credit Risk. For this purpose, we fit a Dynamic Factor model, DF, to a large dataset of default rates proxies and macrovariables for Italy. Multi step ahead density and probability forecasts are obtained by employing both...
Persistent link: https://www.econbiz.de/10013159697
Persistent link: https://www.econbiz.de/10003635736
direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons …
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version of the D6 Factor that improves upon the original model in several ways. While the original D6 based its estimation on … estimation period by a decade. These changes provide the updated model with substantially more information while reducing the … noise in the estimation. -- coincident index ; dynamic factor model …
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