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The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10011256800
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010491332
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010391543
We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
Persistent link: https://www.econbiz.de/10011819542
We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
Persistent link: https://www.econbiz.de/10011809984
We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
Persistent link: https://www.econbiz.de/10012924242
nowcasting and forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence …This discussion paper resulted in an article in the <I>International Journal of Forecasting</I> (2014). Volume 30 …, pages 572-584.<P> We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state …
Persistent link: https://www.econbiz.de/10011257430
We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state space analysis … frequency and the panel of macroeconomic variables is at a high frequency, we can use our approach for both nowcasting and … forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence for the finite …
Persistent link: https://www.econbiz.de/10010326452
, pages 683-713.<P> This paper discusses identification, specification, estimation and forecasting for a general class of … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
Persistent link: https://www.econbiz.de/10011256849
This paper discusses identification, specification, estimation and forecasting for a general class of periodic … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
Persistent link: https://www.econbiz.de/10010325309