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Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed … divergent when volatility clusters idiosyncratically.It is illustrated that this property is important for empirical …
Persistent link: https://www.econbiz.de/10012250452
To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...
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The uncertainty of U.S. core inflation, measured by the stochastic volatility of forecast errors, has soared to a level …
Persistent link: https://www.econbiz.de/10014436184
rank estimation method via sequential testing. For a class of stochastic volatility models, we determine data …
Persistent link: https://www.econbiz.de/10012655380
I propose a Bayesian quantile VAR to identify and assess the impact of uncertainty and certainty shocks, unifying Bloom's (2009) two identification steps into one. I find that an uncertainty shock widens the conditional distribution of future real economic activity growth, in line with a risk...
Persistent link: https://www.econbiz.de/10012180723
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We use volatility impulse response analysis estimated from the bivariate GARCH-BEKK model to quantify the size and the … persistence of different types of oil price shocks on stock return volatility and the covariance between oil price changes and …
Persistent link: https://www.econbiz.de/10011903691
volatility. For forecasting, the choice among outlier-robust error structures is less important, however, when a large cross …
Persistent link: https://www.econbiz.de/10013472790