Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5082
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dc.contributor.authorKorkpoe, Carl H.-
dc.contributor.authorAmarteifio, Edward-
dc.date.accessioned2021-03-19T15:40:45Z-
dc.date.available2021-03-19T15:40:45Z-
dc.date.issued2018-
dc.identifier.issn2343-6891-
dc.identifier.urihttp://hdl.handle.net/123456789/5082-
dc.description6P;illen_US
dc.description.abstractWe investigated the model fit for volatility of returns from the Ghana Stock Exchange All Share Index for the Bayesian versions of GARCH(1,1) with student-t innovations and stochastic volatility. We found evidence in favour of the GARCH(1,1) with student-t innovations against the recommendation from the developed equity markets of preference for stochastic volatility models. We are of the view that model fit has to do with the development stage of a particular market. Issues like thin and asynchronous trading influence the data generating process; hence, we view financial econometric models as suitable to data depending on whether the market is developed, emerging or frontier.en_US
dc.language.isoenen_US
dc.publisherUniversity of Cape Coasten_US
dc.subjectStochastic volatilityen_US
dc.subjectGARCH(1,1)en_US
dc.subjectBayesian methodologyen_US
dc.titleAll Markets are not Created Equal - Evidence from the Ghana Stock Exchangeen_US
dc.typeArticleen_US
Appears in Collections:Department of Accounting & Finance

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