Chaos in G7 stock markets using over one century of data : a note

dc.contributor.authorTiwari, Aviral Kumar
dc.contributor.authorGupta, Rangan
dc.contributor.emailrangan.gupta@up.ac.zaen_ZA
dc.date.accessioned2019-01-31T09:35:37Z
dc.date.issued2019-01
dc.description.abstractIn our study, we tested for chaos in the historical daily and monthly datasets spanning over one century of stock returns for G7 countries. Applying the 0–1 test proposed by Gottwald and Melbourne (2005) and the recent test developed by BenSaïda and Litimi (2013), which is powerful in detecting chaotic dynamics, we found that (a) it is better to denoise the data before testing for chaos and (b), in general, chaos is observed for all countries, using both tests, when we denoised the data.en_ZA
dc.description.departmentEconomicsen_ZA
dc.description.embargo2020-01-01
dc.description.librarianhj2019en_ZA
dc.description.urihttp://www.elsevier.com/locate/ribafen_ZA
dc.identifier.citationTiwari, A.K. & Gupta, R. 2019, 'Chaos in G7 stock markets using over one century of data : a note', Research in International Business and Finance, vol. 47, pp. 304-310.en_ZA
dc.identifier.issn0275-5319
dc.identifier.other10.1016/j.ribaf.2018.08.005
dc.identifier.urihttp://hdl.handle.net/2263/68325
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Research in International Business and Finance. 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 Research in International Business and Finance, vol. 47, pp. 304-310, 2019. doi : 10.1016/j.ribaf.2018.08.005.en_ZA
dc.subjectChaosen_ZA
dc.subjectG7 countriesen_ZA
dc.subjectStock returnsen_ZA
dc.titleChaos in G7 stock markets using over one century of data : a noteen_ZA
dc.typePostprint Articleen_ZA

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