• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Risk - return profile for companies quoted at the Nairobi securities exchange

    Thumbnail
    View/Open
    Fulltext (628.9Kb)
    Date
    2012
    Author
    Ondari, Michelle
    Type
    Thesis
    Metadata
    Show full item record

    Abstract
    The Nairobi Securities Exchange is the key exchange market for stock trading in the East and Central Africa region. Having moved from floor trading to the modern electronic trading system, the NSE was restructured to include particular sectors with respect to economic activities. The objective of the study was to establish the risk-return profiles in various sectors of NSE. Using empirical data, forty three (43) companies were selected to comprise the sample of study for the period January 2007 to December 2011, but only 34 four were consistently participating in securities market activities. Historical monthly stock price data was used, translating into 60 sample months for use in data analysis. Dividend Growth Model by Gordon was applied while using Sharpe ratios to assess sector riskiness. Initial analysis on the sectors riskiness based on standard deviation and beta computations indicated that the Agricultural sector was the least risky while the Industrial sector was the most risky. However, final analysis using Sharpe ratios indicated that Agricultural sector had the highest Sharpe ratio at 3.756 and thus the most risky among the 4 sectors while Industrial Sector had the lowest Sharpe ratio of 1.553 and therefore the least risky. To resolve the mixed results, a t-test was applied with mean variances per sector tested against the market variances. The analysis concluded that Standard deviations, Betas and Sharpe ratios from the 4 sectors of MIMS were not statistically different from from the market mean variations during the period under study January 2007-December 2011 implying least trade-
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14192
    Sponsorhip
    The University of Nairobi
    Publisher
    School of Business
    Subject
    Risk - return profile
    Nairobi securities exchange
    Collections
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM) [24587]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback