
Indirect investment and financial performance of the real estate sector in Nairobi county Kenya
Author(s) -
William Suley Menges,
Kevin Getii Moranga
Publication year - 2019
Publication title -
international journal of business ecosystem and strategy
Language(s) - English
Resource type - Journals
ISSN - 2687-2293
DOI - 10.36096/ijbes.v1i4.285
Subject(s) - real estate , finance , business , investment (military) , descriptive statistics , investment fund , sovereign wealth fund , economics , foreign direct investment , statistics , mathematics , politics , political science , market liquidity , law , macroeconomics
The purpose of this study was to assess the effect of indirect investment on the performance of real estate in Nairobi County Kenya. The independent variables for indirect investment were: investment trusts, exchange-traded funds, commingled funds, and infrastructure funds. The dependent variable was the performance of real estate in Nairobi County Kenya. Secondary data was collected from the real estate’s online sources and some from the company offices and analyzed using multiple regression analysis. Both descriptive statistics and inferential statistics were determined. The study was only able to collect secondary data from 45 real estate companies out of the target population of 69 registered by KPDA in 2015 as it was hard to get data of the rest either from online sources or from the company offices. With the aid of STATA 12.0 software and Excel software, quantitative results were tabulated and presented in the form of charts, bar graphs, and narratives. The study found an existing relationship between the performance of the real estate sector and the Investment Trust Fund, the Exchange Trust Fund, the Commingled Fund, Infrastructure Fund. The study concludes that most of the coefficients were significant. The study also concludes that there is a relationship between the performance of the real estate sector and the Investment Trust Fund, Exchange Trust Fund, Commingled Fund, Infrastructure Fund when these components are considered together, they affect Performance.