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The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante … forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither …
Persistent link: https://www.econbiz.de/10010271837
In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...
Persistent link: https://www.econbiz.de/10003636128
, we propose a data driven, adaptive model selection strategy to 'predict the best forecasting model' out of a set of 100 …
Persistent link: https://www.econbiz.de/10003049489
In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...
Persistent link: https://www.econbiz.de/10010274224
, we propose a data driven, adaptive model selection strategy to 'predict the best forecasting model' out of a set of 100 …
Persistent link: https://www.econbiz.de/10010271835
, we propose a data driven, adaptive model selection strategy to ?predict the best forecasting model? out of a set of 100 …
Persistent link: https://www.econbiz.de/10010296240
The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic ex …–ante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither …
Persistent link: https://www.econbiz.de/10005489961
, we propose a data driven, adaptive model selection strategy to ?predict the best forecasting model? out of a set of 100 …
Persistent link: https://www.econbiz.de/10005082839
, we propose a data driven, adaptive model selection strategy to ’predict the best forecasting model’ out of a set of 100 …
Persistent link: https://www.econbiz.de/10005678035
In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...
Persistent link: https://www.econbiz.de/10005860579