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Asymmetric spillover between economic policy uncertainty and exchange rate volatility: A global network connectedness perspective.
Wang, Panpan; Li, Yishi; Liu, Xiaoxing.
  • Wang P; School of Economics and Management, Southeast University, Nanjing, Jiangsu Province, China.
  • Li Y; College of Economics and Management, Zhejiang University of Water Resources and Electric Power, Hangzhou, Zhejiang Province, China.
  • Liu X; School of Economics and Management, Southeast University, Nanjing, Jiangsu Province, China.
PLoS One ; 18(1): e0279729, 2023.
Article in English | MEDLINE | ID: covidwho-2214789
ABSTRACT
This study employs the network connectedness approach to examine the risk spillover between the economic policy uncertainty (EPU) and exchange rate volatility (ERV) of 21 countries. Using monthly data from January 1997 to August 2022, we find that the spillover effect of ERV on EPU is greater than that of the inverse. In addition, the spillover effect of EPU on ERV is mainly concentrated in the foreign exchange markets of developing countries. This finding indicates that the foreign exchange markets of developing countries are more susceptible to shocks of global economic risk, and the spreading of risk contagion between EPU and ERV mainly follows the pathway "increase in global ERV → rising global EPU → further intensified volatility in the foreign exchange markets of developing countries." A rolling-window analysis shows that the spillover between global EPU and ERV is time-varying. The cross-market spillovers between EPU and ERV in the post-crisis period continued to rise and further increased sharply after the outbreak of the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0279729

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0279729