Uncertainty matters: evidence from a high-frequency identification strategy
Piergiorgio Alessandri,
Andrea Giovanni Gazzani and
Alejandro Vicondoa
No 1284, Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area
Abstract:
Assessing the role of uncertainty shocks as a driver of business cycle fluctuations is challenging because spikes in uncertainty often coincide with news about economic fundamentals. To tackle this problem, we exploit daily data to identify uncertainty shocks that (i) impact the VXO volatility index, and (ii) are statistically independent from level shocks affecting stock prices. We then use the identified series of uncertainty shocks in a monthly VAR to estimate their macroeconomic effects on the US economy. An exogenous increase in uncertainty depresses economic activity and prices, significantly affecting both labor and capital goods markets. Uncertainty shocks account for about 20% of the cyclical fluctuations in employment and industrial production.
Keywords: uncertainty shocks; high-frequency identification; SVAR; business cycle; mutual funds; mutual funds performance; distribution networks; conflict of interest (search for similar items in EconPapers)
JEL-codes: C32 C36 E32 (search for similar items in EconPapers)
Date: 2020-06
New Economics Papers: this item is included in nep-mac and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://www.bancaditalia.it/pubblicazioni/temi-dis ... 284/en_tema-1284.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bdi:wptemi:td_1284_20
Access Statistics for this paper
More papers in Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area Contact information at EDIRC.
Bibliographic data for series maintained by ().