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develop an extended Factor Augmented VAR model that simultaneously allows the estimation of a measure of uncertainty and its … shock has remained fairly stable. Simulations from a non-linear DSGE model suggest that these empirical results are …
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-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring … information embedded in unexpected, but public observable text data in shock and nonshock information. The monitor is trained …
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We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial variables into contributions from country-specific uncertainty and uncertainty common to all countries. We find that the common component plays an important role in driving the...
Persistent link: https://www.econbiz.de/10011306276
This paper uses a FAVAR model with stochastic volatility to estimate the impact of uncertainty shocks on real income growth in US states. The results suggest that there is a large degree of heterogeneity in the magnitude and the persistence of the response to uncertainty shocks across states....
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