Searching the nature of uncertainty: Macroeconomic and financial risks VS geopolitical and pandemic risks
Nicolas Himounet ()
International Economics, 2022, vol. 170, issue C, 1-31
Abstract:
A growing empirical literature on how to measure uncertainty has emerged following the 2007–2008 financial crisis. This paper first reviews the different methods measuring uncertainty. Second, applying a principal component analysis (PCA) that includes the various measures of uncertainty provided by the literature, a monthly global measure of uncertainty for the United States on the period 1990–2020 is developed. If the first factor computes a general level of uncertainty, the second factor provides a switch between two natures of uncertainty: macroeconomic and financial. Applying a new SVAR framework where the identification of uncertainty shocks relies on event constraints, we get a negative effect of US general uncertainty on industrial production.
Keywords: Uncertainty; Principal component analysis; Economic activity; SVAR (search for similar items in EconPapers)
JEL-codes: C38 D80 E32 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S211070172200018X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Searching for the Nature of Uncertainty: Macroeconomic VS Financial (2021) 
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:eee:inteco:v:170:y:2022:i:c:p:1-31
DOI: 10.1016/j.inteco.2022.02.010
Access Statistics for this article
International Economics is currently edited by Valerie Mignon and Marcelo Olarreaga
More articles in International Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().