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We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state space analysis … forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence for the finite … unbalanced panel contain quarterly and monthly variables. The forecasting accuracy is measured against a set of benchmark models …
Persistent link: https://www.econbiz.de/10010326452
We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state space analysis … forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence for the finite … unbalanced panel contain quarterly and monthly variables. The forecasting accuracy is measured against a set of benchmark models …
Persistent link: https://www.econbiz.de/10014170346
forecasting the term structure of interest rates. As expected, I find that using more flexible models leads to a better in …
Persistent link: https://www.econbiz.de/10010325534
We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...
Persistent link: https://www.econbiz.de/10010325750
Persistent link: https://www.econbiz.de/10011441731
Persistent link: https://www.econbiz.de/10011801600