Moramarco, Graziano
(2020)
Measuring Global Macroeconomic Uncertainty.
Bologna:
Dipartimento di Scienze economiche,
p. 47.
DOI
10.6092/unibo/amsacta/6404.
In: Quaderni - Working Paper DSE
(1148).
ISSN 2282-6483.
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Abstract
This paper provides new indices of global macroeconomic uncertainty and investigates the cross-country transmission of uncertainty using a global vector autoregressive (GVAR) model. The indices measure the dispersion of forecasts that results from parameter uncertainty in the GVAR. Relying on the error correction representation of the model, we distinguish between measures of short-run and long-run uncertainty. Over the period 2000Q1-2016Q4, global short-run macroeconomic uncertainty strongly co-moves with financial market volatility, while long-run uncertainty is more highly correlated with economic policy uncertainty. We quantify global spillover effects by decomposing uncertainty into the contributions from individual countries. On average, over 40% of country-specific uncertainty is of foreign origin.
Abstract
This paper provides new indices of global macroeconomic uncertainty and investigates the cross-country transmission of uncertainty using a global vector autoregressive (GVAR) model. The indices measure the dispersion of forecasts that results from parameter uncertainty in the GVAR. Relying on the error correction representation of the model, we distinguish between measures of short-run and long-run uncertainty. Over the period 2000Q1-2016Q4, global short-run macroeconomic uncertainty strongly co-moves with financial market volatility, while long-run uncertainty is more highly correlated with economic policy uncertainty. We quantify global spillover effects by decomposing uncertainty into the contributions from individual countries. On average, over 40% of country-specific uncertainty is of foreign origin.
Tipologia del documento
Monografia
(Working paper)
Autori
Parole chiave
global uncertainty, uncertainty index, GVAR, spillovers, bootstrap
Settori scientifico-disciplinari
ISSN
2282-6483
DOI
Data di deposito
16 Giu 2020 11:56
Ultima modifica
16 Giu 2020 11:56
URI
Altri metadati
Tipologia del documento
Monografia
(Working paper)
Autori
Parole chiave
global uncertainty, uncertainty index, GVAR, spillovers, bootstrap
Settori scientifico-disciplinari
ISSN
2282-6483
DOI
Data di deposito
16 Giu 2020 11:56
Ultima modifica
16 Giu 2020 11:56
URI
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