Network analysis of economic and financial uncertainties in advanced economies : evidence from graph-theory

dc.contributor.authorTiwari, Aviral Kumar
dc.contributor.authorBoachie, Micheal Kofi
dc.contributor.authorGupta, Rangan
dc.date.accessioned2021-12-14T08:28:39Z
dc.date.available2021-12-14T08:28:39Z
dc.date.issued2021
dc.description.abstractThe paper investigates the nonlinear dependencies and interconnectedness of macroeconomic and financial uncertainties in 11 developed countries. The study applies structure learning with weakly additive noise model using Directed Acyclic Graphs (DAGs) to data covering 1997:01 to 2017:09. The results indicate the existence of nonlinear dependencies of macroeconomic and financial uncertainties among the 11 advanced economies considered. That an increased macroeconomic and financial uncertainty in a particular economy affects other economies. Overall, Spain happens to be a major receiver of macroeconomic and financial uncertainties from the other developed economies. The findings call for macroprudential policies to ensure stability in these economies.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.librarianam2021en_ZA
dc.description.urihttp://www.hindawi.com/journals/adsen_ZA
dc.identifier.citationTiwari, A.K., Boachie, M.K. & Gupta, R. 2021, 'Network analysis of economic and financial uncertainties in advanced economies : evidence from graph-theory', Advances in Decision Sciences, vol. 25, no. 1, pp. 1-27.en_ZA
dc.identifier.issn2090-3359 (print)
dc.identifier.issn2090-3367 (online)
dc.identifier.other10.47654/V25Y2021I1P188-215
dc.identifier.urihttp://hdl.handle.net/2263/83050
dc.language.isoenen_ZA
dc.publisherHindawien_ZA
dc.rightsHindawien_ZA
dc.subjectConnectednessen_ZA
dc.subjectAdvanced economiesen_ZA
dc.subjectEconomic uncertaintyen_ZA
dc.subjectFinancial uncertaintyen_ZA
dc.subjectDirected acyclic graphs (DAGs)en_ZA
dc.titleNetwork analysis of economic and financial uncertainties in advanced economies : evidence from graph-theoryen_ZA
dc.typeArticleen_ZA

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