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dc.contributor.authorMaana, Isaya
dc.contributor.authorMwita, Peter N
dc.contributor.authorOtieno, Romanus Odhiambo
dc.date.accessioned2018-11-20T15:28:47Z
dc.date.accessioned2020-02-06T14:01:26Z
dc.date.available2018-11-20T15:28:47Z
dc.date.available2020-02-06T14:01:26Z
dc.date.issued2010
dc.identifier.urihttps://academicjournals.org/journal/AJBM/article-full-text-pdf/1B7008026139
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/982
dc.description.abstractThis paper considers the application of the generalized autoregressive conditional heteroscedasticity process in the estimation of volatility in the Kenyan exchange rates. A quasi-maximum likelihood estimation procedure was used and asymptotic properties of the estimators were given. Exploratory data analysis performed indicated that the returns are heavy tailed. It was found that the estimated model fits the exchange rates return data well.en_US
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.subjectVolatility, exchange, returns, autoregressive, heteroscedasticity, likelihood, quasi, maximum, estimator.en_US
dc.titleModelling the volatility of exchange rates in the Kenyan marketen_US
dc.typeArticleen_US


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