Global financial uncertainty
Summary We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country‐specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set identification via a combination o...
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Veröffentlicht in: | Journal of applied econometrics (Chichester, England) England), 2023-04, Vol.38 (3), p.432-449 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Summary
We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country‐specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set identification via a combination of narrative, sign, ratio, and correlation restrictions. We find that the contraction in world output during the Great Recession would have been 13% milder in absence of GFU shocks. We also find support for a global finance uncertainty multiplier: the more global financial conditions deteriorate after a GFU shock, the larger the world output contraction is. |
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ISSN: | 0883-7252 1099-1255 |
DOI: | 10.1002/jae.2958 |