Indirect investment and financial performance of the real estate sector in Nairobi county Kenya
William Suley Menges · Kevin Getii Moranga
International Journal of Business Ecosystem & Strategy · 2019 · Vol. 1 / Issue 4 · 09-18
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Abstract
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.
Keywords: {'name': 'Investment trusts, exchange traded funds, commingled funds, infrastructure funds, performance'}
Authors & affiliations
William Suley Menges
Affiliation not supplied
Kevin Getii Moranga
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Supplied references, not a list of publications citing this article.
Abdullahi, M. S., Ghazali, P. L., Awang, Z., Mohd Tahir, I., Ali, M., & Salim, N. A. (2015). The effect of finance, infrastructure and training on the performance of small and medium scale enterprises (SMEs) in Nigeria. International Journal of Business and Technopreneurship, 5(3), 421-452.
DOI: 10.5539/ijbm.v10n1p62
Ammon, S., (1998). Research Methodology. Washington D.C.: National academy Press, USA.
DOI: 10.1108/AJEMS-09-2012-0058
DOI: 10.2307/2297111
Buttell, A. E. (2010). Harry M. Markowitz on modern portfolio theory, the efficient frontier, and His Life's Work. Journal of Financial Planning, 23(5), 18.
DOI: 10.1515/9781400830213
DOI: 10.1016/j.ribaf.2010.02.001
DOI: 10.1016/j.jfineco.2010.05.009
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage
Gathogo, G. and Ragui, M. (2014). Capital structure of Kenyan companies: what determines What? Revista de investigación de finanzas y contabilidad, 5(5).
Ge, Y. (2010). American commercial real estate financing and the effect on economy. Shanghai Finance.3, 60-62.
Gharaibeh, O.M.A. (2015). The determinants of the capital structure: empirical evidence of Kuwait. European Journal of Business, Economics and Accounting, 3(6).
DOI: 10.2139/ssrn.2443250
Gohar, R., Ahmed, S., & Niazi, U. (2011). Performance comparison of mutual funds in Pakistan. African Journal of Business Management, 5(14), 5583.
DOI: 10.7202/1019205ar
DOI: 10.1108/14635789210031064
Gujarati, D. N. (2003). Basic Econometrics. Fourth edition McGraw-Hill. New York.
DOI: 10.1068/a31146
DOI: 10.1007/s11156-010-0178-z
DOI: 10.1007/s11127-008-9369-8
DOI: 10.1146/annurev-financial-110716-032538
Kamau, L. W. (2011). Factors Influencing Investment in the Real Estate Industry in Nairobi County, Kenya. Unpublished Thesis Moi University.
DOI: 10.1016/j.jbankfin.2010.08.015
Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
Maalim, S. H. (2014). Comparison of performance between guaranteed and segregated pens?on funds. Unpublished MA Economics Project, University of Nairobi.
Mangram, M. E. (2013). A simplified perspective of the Markowitz portfolio theory. Global journal of business research, 7(1), 59-70.
Mathoko, J., Mathoko, F., and Mathoko, P. (2007), Academic Proposal Writing’. Nakuru, Kenya: Amu Press.
Modigliani, F. and Miller, M. H. (1958). The Cost of Capital, Corporate Finance and the Theory of Investment. American Economic Review, 48, 261-97.
Modigliani, F. and Miller, M. H. (1963). The Cost of Capital, Corporate Finance and the Theory of Investment. American Economic Review, 48, 261-97.
Mugenda and Mugenda, (2003). Research methods: first edition, published by ACTS, Nairobi, Kenya.
Mugenda and Mugenda, (1999). Research methods: 1st edition, published by ACTS, Nairobi, Kenya.
DOI: 10.1108/09727981011085020
Mungai, L. M., & Elly, D. (2018). The Effect of Alternative Investments on the Financial Performance of Pension Funds in Kenya. African Development Finance Journal (ADFJ), 1(2).
DOI: 10.1016/j.ejor.2011.08.014
Orr, R. J. (2007). The rise of infra funds. Project Finance International–Global Infrastructure Report 2007, 2-12.
DOI: 10.1016/j.jfineco.2011.08.014
Peil S.K (2005). Methodology and research design, fifth edition, Macmillan. Publishers, New York, United States.
DOI: 10.1080/10835547.2011.12089900
Ross, S.A., Westerfield, R.W., Jaffe, J. and Kakani, R.K. (2009). Business Finance,Tata McGraw-Hill Edition 2009, 8th Edition.
Salame, A. K. and Iddirisu, M. (2011). An assessment of the static trade-off theory of capital structure using data from the Ghana stock market. Journal of Management Policy and Practice, 12 (6), 81-89.
San, O. T. and Heng, T. B. (2011). Capital structure and corporate performance of Malaysian Building Industry International Journal of Humanities and Social Sciences, 1 (2), 28-36.
Sekaran, U. (2011). Research Methods for Business: A Skill Building Approach. 5th Edition. Aggarwal printing press, Delhi, ISBN: 978-81-265-3131-8
DOI: 10.1093/biomet/52.3-4.591
DOI: 10.2307/1340724
DOI: 10.1016/j.sbspro.2012.03.254
DOI: 10.1007/s11187-008-9150-x
Wahome, N.M, Memba, F. and Muturi, W. (2015). The effects of company size and risk in Decisions of the insurance industry capital structure in Kenya. International journal of scientific publications and research, 5(8).
Yabs, A.K. (2014). The relationship between the capital structure and financial performance of real estate companies in Kenya. An unprecedented graduate study at the University of Nairobi.
Zikmund, W., (2010). Company research methods eighth edition. McGraw-Hill Publishers. USA New York.