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The effect of the great moderation on the US business cycle in a time-varying multivariate trend-cycle model
Creal, Drew; Koopman, Siem Jan; Zivot, Eric - 2008
accounts for time variation in macroeconomic volatility, known as the great moderation. In particular, we consider an … volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to … that time-varying volatility is only present in the a selection of idiosyncratic components while the coefficients driving …
Persistent link: https://www.econbiz.de/10011376640
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Convergence in European GDP series
Luginbuhl, Rob; Koopman, Siem Jan - 2003
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
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Measuring synchronisation and convergence of business cycles
Koopman, Siem Jan; Azevedo, João Valle e - 2003
This paper investigates business cycle relations among different economies in theEuro area. Cyclical dynamics are explicitly modelled as part of a time series model. Weintroduce mechanisms that allow for increasing or diminishing phase shifts and for time-varyingassociation patterns in different...
Persistent link: https://www.econbiz.de/10011333890
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Tracking growth and the business cycle : a stochastic common cycle model for the Euro area
Azevedo, João Valle e; Koopman, Siem Jan; Rua, António - 2003
This paper proposes a new model-based method to obtain a coincident indicator for the business cycle. A dynamic factor model with trend components and a common cycle component is considered which can be estimated using standard maximum likelihood methods. The multivariate unobserved components...
Persistent link: https://www.econbiz.de/10011334364
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Measuring asymmetric stochastic cycle components in US macroeconomic time series
Koopman, Siem Jan; Lee, Kai Ming - 2005
To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...
Persistent link: https://www.econbiz.de/10011346480
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Model-based business cycle and financial cycle decomposition for Europe and the U.S.
Koopman, Siem Jan; Lit, Rutger; Lucas, André - 2016
We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...
Persistent link: https://www.econbiz.de/10011520505
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The Effect of the Great Moderation on the U.S. Business Cycle in a Time-Varying Multivariate Trend-Cycle Model
Creal, Drew - 2008
accounts for time variation in macroeconomic volatility, known as the great moderation. In particular, we consider an … volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to … that time-varying volatility is only present in the a selection of idiosyncratic components while the coefficients driving …
Persistent link: https://www.econbiz.de/10012723648
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Modeling the Business and Financial Cycle in a Multivariate Structural Time Series Model
de Winter, Jasper - 2017
We consider a multivariate unobserved component time series model to disentangle the short-term and medium-term cycle for the G7 countries and the Netherlands using four key macroeconomic and financial time series. The novel aspect of our approach is that we simultaneously decompose the...
Persistent link: https://www.econbiz.de/10012945122
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Model-Based Business Cycle and Financial Cycle Decomposition for Europe and the U.S
Koopman, Siem Jan - 2016
We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...
Persistent link: https://www.econbiz.de/10012987118
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Extracting business cycles using semi-parametric time-varying spectra with applications to US macroeconomic time series
Koopman, Siem Jan; Wong, Soon Yip - 2006
A growing number of empirical studies provides evidence that dynamic properties of macroeconomic time series have been changing over time. Model-based procedures for the measurement of business cycles should therefore allow model parameters to adapt over time. In this paper the time dependencies...
Persistent link: https://www.econbiz.de/10011350381