Macroeconomic Factors Affecting Financial Performance of the Real Estate Industry in Kenya
Real estate sales growth is an ideal indicator of anticipated demand for real estate; it is also a good barometer of the state of economy. Due to the influence of macro-economic indicators on one another that are occasionally highly correlated, any marginal change in in one factor causes a ripple effect on the entire market and the effect on the economy is much more including the REIT industry. The study was underpinned by the behavioral theory of finance, the Efficient Market Hypothesis (EMH) theory and the Modern Portfolio Theory (MPT). The question that this study sought to answer was: do macroeconomic factors have an effect on the financial performance of the REIT industry? And the objective was to investigate the effect of macroeconomic variables on the financial performance of real estate industry in Kenya. The study was also longitudinal in nature. According to Farrington (2016), a longitudinal design is better for determination of cause-effect relationship. The target population was all the real estate firms in Kenya. Secondary data was collected from the KNBS, CBK, the NSE and Hass consult Property Index. Data analyses comprised numeric measures. Essentially, the study design entailed descriptive statistics. Multiple linear regression models was used by use of SPSS version 22. From the study findings, real estate sales growth rate had fluctuated with the highest peak in the third quarter of the year 2012 while the lowest rate was recorded in the fourth quarter of the year 2013. The study also established that each of the explanatory variables fluctuated over the study period. The study also established a positive correlation between real estate sales growth and each of the internal macroeconomic variables. However, none of the independent variables was statistically significant individually as shown by their corresponding p-values which were each greater than 0.05. The study concludes that there is a strong positive relationship between the macro-economic variables and financial performance of the real estate industry. The study, therefore, recommends that the CMA, the CBK and other agencies charged with the responsibility of regulation should plan in advance and influence the macro-economic variables in the right direction. The study had some limitations: contextual, methodological and human. These limitations have formed part of the basis for suggestions for further study. Among the suggestions is that further study should be triangulated in terms of data sources to mitigate the weaknesses of secondary data that was used exclusively in this study.
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