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dc.contributor.authorCorbet, S.
dc.contributor.authorHou, Y.
dc.contributor.authorHu, Y.
dc.contributor.authorOxley, Leslie
dc.date.accessioned2025-04-16T03:01:40Z
dc.date.available2025-04-16T03:01:40Z
dc.date.issued2024
dc.identifier.citationCorbet, S. and Hou, Y. and Hu, Y. and Oxley, L. 2024. Time varying risk aversion and its connectedness: evidence from cryptocurrencies. Annals of Operations Research. 338 (2-3): pp. 879-923.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/97469
dc.identifier.doi10.1007/s10479-024-06001-9
dc.description.abstract

Changing patterns of risk aversion may follow a non-linear counter-cyclical process. However, the evidence so far has not considered developing cryptocurrency markets. Given some unique features of cryptocurrencies, it is interesting to distinguish how these assets differ from traditional products. This paper investigates the time effects of periodicity on risk aversion for a selection of major cryptocurrencies compared to major financial assets. Significant periodic time-varying patterns are identified when analysing risk aversion. Further, bilateral and bidirectional Granger causalities are identified within cryptocurrencies, as well as between cryptocurrencies and traditional financial assets. Bitcoin is identified as a leading information transmitter of the spillover of risk aversion upon other cryptocurrencies, while estimated risk aversion of traditional financial markets plays a dominant role in the spillover processes upon the cryptocurrency cluster. The latter finding presents further evidence of developing cryptocurrency market maturity. The COVID-19 pandemic is found to have significantly influenced the connectedness of risk aversion among cryptocurrency and traditional financial markets.

dc.titleTime varying risk aversion and its connectedness: evidence from cryptocurrencies
dc.typeJournal Article
dcterms.source.volume338
dcterms.source.number2-3
dcterms.source.startPage879
dcterms.source.endPage923
dcterms.source.issn0254-5330
dcterms.source.titleAnnals of Operations Research
dc.date.updated2025-04-16T03:01:40Z
curtin.departmentSchool of Accounting, Economics and Finance
curtin.accessStatusIn process
curtin.facultyFaculty of Business and Law
dcterms.source.eissn1572-9338
curtin.contributor.scopusauthoridOxley, Leslie [7003336774]
curtin.repositoryagreementV3


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