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dc.contributor.authorCheluget, John K
dc.date.accessioned2013-05-15T07:23:41Z
dc.date.available2013-05-15T07:23:41Z
dc.date.issued2008
dc.identifier.citationA Management Research Project Report Submitted in Partial Fulfillment for the Requirements of the Degree of Masters of Business Administration (MBA), School Of Business, University Of Nairobien
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/22890
dc.description.abstractThis study analyses the initial returns of initial public offerings (lPOs) using a sample of companies listed in the Nairobi Stock Exchange during the period 1984 to 2008. It further relates the initial return to subscription rate using regression models to establish whether relationship exists and the nature of the relationship. The study provides one emerging market case of international evidence on performance of IPOs. The findings from the sampled IPO firms show an average initial return of 40.28% on the first day or trading in the ,secondary market. This represents 17.78% increase when compared with study by Maina (2004) when he found initial return of 22.57%. All this is consistent with other international research. which have on average also documented first clay positive initial returns. See appendix S. The study further found out that average subscription rate stands at 291.08% which shows an increase of 62.30% as compared to 228.78% in a study by Maina (2004). The highest subscription rate to elate is 800% achieved during Eveready IPO offer. The lowest subscription rate was in Mumias IPO offer at 60%. The results also compares favorably to findings by Summit Agarw a I (200]) in Hong Kong market when they found average subscription rate of 90%. The study also found out that Quadratic regression model best represents the nature or relationship between initial return and subscription rate when compared with results generated by linear regression model in the Kenyan IPO market.en
dc.language.isoenen
dc.titleInvestors demand for IPO's and first day performance:evidence from Nairobi stock exchangeen
dc.typeThesisen
local.publisherBusiness Administrationen


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