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We introduce a high-dimensional structural time series model, where co-movement between the components is due to common factors. A two-step estimation strategy is presented, which is based on principal components in differences in a first step and state space methods in a second step. The...
Persistent link: https://www.econbiz.de/10011309972
Convergence in gross domestic product series of five European countriesis empirically identified using multivariate time series models that arebased on unobserved components with dynamic converging properties.We define convergence in terms of a decrease in dispersion over timeand model this...
Persistent link: https://www.econbiz.de/10011333256
Risk is at the center of many policy decisions in companies, governments and other institutions. The risk of road fatalities concerns local governments in planning counter- measures, the risk and severity of counterparty default concerns bank risk managers on a daily basis and the risk of...
Persistent link: https://www.econbiz.de/10011348356
Assessing the state of an economy is not an easy task and generally involves interpreting myriad and sometimes contradictory indicators. In 2007 the authors unveiled a dynamic common factor model, dubbed the D6 Factor, for the economy of the Sixth Federal Reserve District. This model combined...
Persistent link: https://www.econbiz.de/10009419466
Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....
Persistent link: https://www.econbiz.de/10010259630
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging … indicator from a small panel of mixed frequency economic time series. …
Persistent link: https://www.econbiz.de/10010391543
cycles in the post-Bretton Woods period, using a panel of output growth rates for nineteen countries. We find: 1) statistical …
Persistent link: https://www.econbiz.de/10012724268
We represent risk factors as sums of orthogonal components capturing fluctuations with cycles of different length. The representation leads to novel spectral factor models in which systematic risk is allowed (without being forced) to vary across frequencies. Frequency-specific systematic risk is...
Persistent link: https://www.econbiz.de/10012851025
In this article, we propose a cointegration-based Permanent-Transitory decomposition for non-stationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...
Persistent link: https://www.econbiz.de/10013219376
This paper considers quasi-maximum likelihood estimations of a dynamic approximate factor model when the panel of time …
Persistent link: https://www.econbiz.de/10013317480