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    The Existence of Herd Behaviour: Evidence From the Nairobi Securities Exchange

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    Date
    2012
    Author
    Mwimali, Halima M
    Type
    Thesis
    Language
    en
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    Abstract
    This study focused on the price implications of herding by investigating whether equity returns reveal the presence of herd behavior. Information asymmetry in capital markets could explain the existence of herding, it can occur either when investors are sharing the same information or facing similar circumstances rationally make similar decisions, or when investors intentionally mimic the behavior of each other. As a result, investors may not optimize their decisions individually but take into account other investors’ choices. The main objective of this research was to investigate the existence of herding behavior among the investors at the NSE. The study entailed an empirical research design. Data used was secondary data obtained from the Nairobi securities exchange. The data obtained was from April 1996 to December 2012 divided in three phases; 1996-1997, 1998-2001 and 2003-2012. The NSE share index was used as the sample. Data was analyzed using a model developed by Christie and Huang (1995) where a regression analysis was on CSSD against dummy variables to determine the beta coefficients in the market. The regression produced statistically significant positive beta coefficients which reveal no presence of herding behavior among investors at the NSE. In conclusion there is evidence which supports the predictions of rational asset pricing models and suggests that herding is not an important factor in determining equity returns during periods of price fluctuations in the market
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/43126
    Citation
    MBA Thesis
    Sponsorhip
    University of Nairobi
    Publisher
    University of Nairobi
     
    School of Business, University of Nairobi
     
    Description
    Master Thesis
    Collections
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM) [24587]

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