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This paper shows that the parsimoniously time-varying methodology of Callot and Kristensen (2015) can be applied to factor models. We apply this method to study macroeconomic instability in the US from 1959:1 to 2006:4 with a particular focus on the Great Moderation. Models with parsimoniously...
Persistent link: https://www.econbiz.de/10010532582
We investigate the presence of international business cycles in macroeconomic aggregates (output, consumption, investment) using a panel of 60 countries over the period 1961 - 2014. The paper presents a Bayesian stochastic factor selection approach for dynamic factor models with predetermined...
Persistent link: https://www.econbiz.de/10011556201
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
Recessions and expansions are often caused or reinforced by developments in private consumption - the largest component of aggregate demand - which, as a result, varies over the business cycle. As such, an accurate measurement of the cyclical component of consumption and an understanding of its...
Persistent link: https://www.econbiz.de/10014380708
measured by the variance is significantly larger than the amplitude under RE, implying persistent excess volatility. However …
Persistent link: https://www.econbiz.de/10011333266
factor. Second, we specify the overall volatility as a generalized autoregressive conditional heteroscedasticity (GARCH …
Persistent link: https://www.econbiz.de/10011373825
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forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures …
Persistent link: https://www.econbiz.de/10010259630
Persistent link: https://www.econbiz.de/10009724114