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    Estimating and forecasting the volatility of a Kenyan Finance Time-series using ARCH Models

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    Date
    2005
    Author
    Sagwe, B Jackline
    Type
    Thesis
    Language
    en
    Metadata
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    Abstract
    The goal of this study is to present an empirical analysis of the return and conditional variance of two Kenyan finance series using models of the ARCH class. To help understanding the empirical results, a critical review of ARCH models is presented. Empirical results obtained show that both series share ARCH and are leptokurtic relative to the normal.The exchange rate returns explain 12 % of Uchumi returns.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/26673
    Citation
    Master of Science (Social Statistics)
    Publisher
    University of Nairobi
     
    School of Mathematics
     
    Collections
    • Faculty of Science & Technology (FST) [4213]

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