Unemployment fluctuations and currency returns in the United Kingdom : evidence from over one and a half century of data

dc.contributor.authorBathia, Deven
dc.contributor.authorDemirer, Riza
dc.contributor.authorGupta, Rangan
dc.contributor.authorKotze, Kevin
dc.contributor.emailrangan.gupta@up.ac.zaen_ZA
dc.date.accessioned2021-07-20T06:06:49Z
dc.date.issued2021-09
dc.description.abstractThis paper provides a long-term perspective on the causal linkages between currency dynamics and macroeconomic conditions. We utilise a long-span data set for the United Kingdom that extends back to 1856, and a time-varying causality testing methodology that accounts for nonlinearity and structural breaks. Using unemployment fluctuations as a proxy for macroeconomic conditions and wavelet decompositions to obtain the fundamental factor that drives excess returns for the British pound, time-varying causality tests based on alternative model specifications yield significant evidence of causal linkages and information spillovers across labour and currency markets over the majority of the sample. Causal effects seem to strengthen during the Great Depression and later following the collapse of the Bretton Woods system, highlighting the role of economic crises in the predictive linkages between the two markets. While the predictive role of currency market dynamics over unemployment fluctuations reflects the effect of exchange rate volatility on corporate investment decisions, which in turn drives subsequent labour market dynamics, we argue that causality in the direction of exchange rates from unemployment possibly reflects signals regarding monetary policy actions, which in turn spill over to financial markets. Overall, the findings indicate significant information spillovers across labour and currency markets in both directions with significant policy making implications.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.embargo2023-02-03
dc.description.librarianhj2021en_ZA
dc.description.urihttp://www.elsevier.com/locate/econbaseen_ZA
dc.identifier.citationBathia, D., Demirer, R., Gupta, R. et al. 2021, 'Unemployment fluctuations and currency returns in the United Kingdom : evidence from over one and a half century of data', Journal of Multinational Financial Management, vol. 61, art.100679, pp. 1-14, https://doi.org/10.1016/j.mulfin.2021.100679.en_ZA
dc.identifier.issn1042-444X
dc.identifier.other10.1016/j.mulfin.2021.100679
dc.identifier.urihttp://hdl.handle.net/2263/80893
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2021 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Multinational Financial Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Multinational Financial Management , vol. 61, art.100679, pp. 1-14, 2021, https://doi.org/10.1016/j.mulfin.2021.100679.en_ZA
dc.subjectTime-varying Granger causalityen_ZA
dc.subjectGeneralised autoregressive conditional heteroscedasticity (GARCH)en_ZA
dc.subjectDynamic conditional correlation multivariate generalised autoregressive conditional heteroscedasticity (DCC-MGARCH)en_ZA
dc.subjectUnemploymenten_ZA
dc.subjectExchange ratesen_ZA
dc.subjectUnited Kingdom (UK)en_ZA
dc.subjectCurrency returnsen_ZA
dc.titleUnemployment fluctuations and currency returns in the United Kingdom : evidence from over one and a half century of dataen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Bathia_Unemployment_2021.pdf
Size:
782.74 KB
Format:
Adobe Portable Document Format
Description:
Postprint Article
Loading...
Thumbnail Image
Name:
Bathia_UnemploymentApp_2021.pdf
Size:
921.69 KB
Format:
Adobe Portable Document Format
Description:
Appendix

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: