2023
DOI: 10.1016/j.red.2022.02.002
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Monetary policy uncertainty and firm dynamics

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Cited by 15 publications
(5 citation statements)
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“…As documented in the following section, our identified financial uncertainty shocks are not significantly correlated with proxies of different shocks recently proposed by the literature. We see this evidence as consistent with our instruments' ability to pin down the business cycle effects of the financial uncertainty shocks we are after.19 For other recent papers identifying uncertainty shocks with a proxy-VAR approach, seeStock and Watson (2012),Alessandri et al (2020), andFasani et al (2022). The first paper employs two different instruments(Bloom, 2009 on financial volatility plus an instruments for economic policy uncertainty), whereasFasani et al (2022) propose instruments for monetary policy uncertainty.…”
supporting
confidence: 81%
See 1 more Smart Citation
“…As documented in the following section, our identified financial uncertainty shocks are not significantly correlated with proxies of different shocks recently proposed by the literature. We see this evidence as consistent with our instruments' ability to pin down the business cycle effects of the financial uncertainty shocks we are after.19 For other recent papers identifying uncertainty shocks with a proxy-VAR approach, seeStock and Watson (2012),Alessandri et al (2020), andFasani et al (2022). The first paper employs two different instruments(Bloom, 2009 on financial volatility plus an instruments for economic policy uncertainty), whereasFasani et al (2022) propose instruments for monetary policy uncertainty.…”
supporting
confidence: 81%
“…We see this evidence as consistent with our instruments' ability to pin down the business cycle effects of the financial uncertainty shocks we are after.19 For other recent papers identifying uncertainty shocks with a proxy-VAR approach, seeStock and Watson (2012),Alessandri et al (2020), andFasani et al (2022). The first paper employs two different instruments(Bloom, 2009 on financial volatility plus an instruments for economic policy uncertainty), whereasFasani et al (2022) propose instruments for monetary policy uncertainty. Given that our focus is on financial uncertainty, we use Bloom's (plus the one byPiffer and Podstawski, 2018) Alessandri et al (2020).…”
supporting
confidence: 81%
“…Fasani et al. ( 2022 ) employ a proxy‐FAVAR framework to estimate the business cycle effects of monetary policy uncertainty shocks. As instrument, they employ the residual from the regression of the conditional volatility of 1‐year swap rate 1‐month ahead taken by Carlston and Ochoa ( 2016 ) over monetary policy surprises on FOMC meeting days.…”
Section: Domestic Uncertainty: Ten Takeawaysmentioning
confidence: 99%
“…To the extent that monetary (and fiscal) policy moves are influenced by business cycle shocks, these findings are consistent with those in Caldara et al (2021b), who find that a business cycle shock can importantly affect uncertainty and risk. Fasani et al (2022) employ a proxy-FAVAR framework to estimate the business cycle effects of monetary policy uncertainty shocks. As instrument, they employ the residual from the regression of the conditional volatility of 1-year swap rate 1-month ahead taken by Carlston and Ochoa (2016) over monetary policy surprises on FOMC meeting days.…”
Section: Macroeconomic Policies Can Generate Uncertaintymentioning
confidence: 99%
“…Finally,Johri et al (2022) use the time-varying volatility of the world's interest rates.Recently,Bauer et al (2022) gauged uncertainty regarding future short-term interest rates using a model-free measure derived from Eurodollar futures and options prices. Building onHusted et al's (2020) measure of monetary policy uncertainty about future short-term interest rates,Fasani et al (2023) explored the potential outcomes of future monetary policy uncertainty on firms' decisions to enter or exit the market.…”
mentioning
confidence: 99%