
handle: 10419/168066 , 10419/229546
We examine the dynamic effects of TFP news shocks in the context of frictions in financial markets. We document two new facts. First, a shock to future TFP generates a significant decline in credit spread indicators along with a robust improvement in credit supply indicators. Second, we establish a tight link between TFP news shocks and shocks that explain the majority of un-forecastable movements in credit spread indicators. A DSGE model enriched with a financial sector of the Gertler-Kiyotaki-Karadi type generates very similar quantitative dynamics. (JEL E12, E31, E32, E44, G12, G21)
E3, business cycles, E2, DSGE, ddc:330, news shocks, VAR, Bayesian estimation, E30, E20
E3, business cycles, E2, DSGE, ddc:330, news shocks, VAR, Bayesian estimation, E30, E20
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
