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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...
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forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures …
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This paper addresses the poor performance of the Expectation-Maximization (EM) algorithm in the estimation of low-noise dynamic factor models, commonly used in macroeconomic forecasting and nowcasting. We show analytically and in Monte Carlo simulations how the EM algorithm stagnates in a...
Persistent link: https://www.econbiz.de/10014249849
This paper discusses identification, specification, estimation and forecasting for a general class of periodic unobserved components time series models with stochastic trend, seasonal and cycle components. Convenient state space formulations are introduced for exact maximum likelihood...
Persistent link: https://www.econbiz.de/10011350384
volatility of aid on economic growth, controlling for the level of aid. A four-year panel analysis is conducted encompassing 155 … countries over the period 1966-2001. We find that once the volatility of aid is controlled for, aid has a positive impact on … economic growth. Correspondingly, volatility of aid flows is found to be negatively related to growth. We found no significant …
Persistent link: https://www.econbiz.de/10011379530
For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between … futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers … the stochastic volatility model with asymmetry and long memory, using high frequency data for the underlying asset …
Persistent link: https://www.econbiz.de/10011590424
We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers_new published in these...
Persistent link: https://www.econbiz.de/10011346491