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dc.contributor.authorOyenga, Antonina
dc.date.accessioned2013-11-26T07:08:06Z
dc.date.available2013-11-26T07:08:06Z
dc.date.issued2013-10
dc.identifier.citationOyenga,Antonina;October,2013.Relationship Between Returns Of The Real Estate And Stock Market Return In Kenya.en
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/60348
dc.description.abstractThe stock market performance has been known to be a good indicator of the economic performance of a country. Over time, investors have been making investments in the stock market, but a lot of attention has shifted to the real estate market as it has been growing as a result of the huge housing demand. The objective of the study was to look at the relationship of between real estate and the stock market. With this objective, we sought to investigate the relationship by comparing the indices for both the stock and real estate markets. Since the analysis covered the periods between 2008 and 2012, we used the NSE 20 share index for the stock market and Hass property index for the real estate. Relevant literature was analyzed with regards to the study, looking at local and international studies and this enabled the study to come up with a conceptual framework and an analysis model. Data was collected from the Nairobi Stock Exchange, Kenya National Bureau of Statistics (KNBS) and websites such as www.hassconsult.co.ke. The data collected was then analyzed using regression analysis and Pearson’s correlation coefficient. Control variables that were introduced in the models were inflation rates and interest rates. These tests enabled the study to determine the nature and extent of relationship between the two variables. The data findings were presented in tables, indicating the mean, standard deviation, correlation coefficient (r), and the coefficient of determination (R2). The descriptive information (mean and standard deviation) characterized the data while regression and correlation tests provided the nature and extent of relationship between the two variables. The study results showed that there was relationship when there were no control variables in the model, but there was greater impact and relationship when there were controls introduced in the models. This was seen from the R values of 0.464 (with no control variables), 0.785 (with inflation rate control), 0.585 (with interest rate control), and 0.807 (with both interest rate and inflation rate controls). The study recommended that the country needs a REITs market in order to monitor the real estate market since it is an important segment of the economy and may act as an economic barometer, and also to improve the storage of vital macro-economic information to enable researchers carry out tests that may assist the economy. A few challenges were encountered during the study and they were mainly in regards to data collection. Some macro-economic measures were not present limiting our study to start from 2009 and not 2008 as the study had planned. Also some of the indices, such as housing index were derived from private institutions of which the study recommended should be provided by government.en
dc.language.isoenen
dc.publisherUniversity of Nairobien
dc.titleRelationship Between Returns of the Real Estate and Stock Market Return in Kenyaen
dc.typeThesisen
local.publisherSchool of Businessen


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