FINANCIAL BEHAVIORAL BIASES AND GROWTH OF COMMERCIAL REAL ESTATE INVESTMENT FIRMS IN NAIROBI CITY COUNTY, KENYA
Keywords:
Financial behavioral biases, heuristic biases, prospect theory, herding behavior, commercial real estate growth, investor decision-making, Nairobi City County, KenyaAbstract
Investment in real estate plays a crucial role in reducing poverty, enhancing income distribution, generating employment, and providing adequate housing. In Kenya, recent assessments indicate a deficit of approximately 2.1 million housing units, particularly in small and mid-sized dwellings, with nearly 51% of private households residing in informal settlements. This study examined the influence of financial behavioral biases on the growth of commercial real estate investment firms in Nairobi City County. Specifically, it assessed the effects of heuristic biases, prospect-related tendencies, herding behavior, and market-influenced decision-making on firm expansion. The research was grounded in behavioral theory, heuristic constructs, and prospect theory. A descriptive research design was adopted, targeting 69 commercial real estate firms registered under the Kenya Property Developers Association (KPDA). From each organization, five key managers—finance, property, residential site, and portfolio managers—were included, yielding a total population of 276 individuals. Using non-probability convenience sampling, 164 managers were selected. Primary data were collected via structured questionnaires and analyzed using SPSS version 22, employing both descriptive statistics (means, percentages, frequencies) and inferential techniques. The findings revealed that cognitive biases significantly and negatively affect the growth of commercial real estate firms. Investors exhibited greater sensitivity to losses than gains and tended to rely on peer influence over professional advice. The study concludes that recognizing these psychological tendencies is critical for improving investment decisions and accurately assessing property values. Recommendations include training managers to mitigate heuristic biases, reducing reliance on irrelevant information, enhancing investor education, and establishing a government-led regulatory authority to formulate comprehensive policies and oversight mechanisms. These measures are expected to support sustainable growth in Kenya’s real estate sector.
DOI: https://doi.org/10.5281/zenodo.17650215
Citation: Mososi, G. O., & Gatauwa, J. (2025). FINANCIAL BEHAVIORAL BIASES AND GROWTH OF COMMERCIAL REAL ESTATE INVESTMENT FIRMS IN NAIROBI CITY COUNTY, KENYA. Journal of Accounting and Finance Research, 2(1). https://doi.org/10.5281/zenodo.17650215
References
Adamovic, M. (2023). Organizational justice research: A review, synthesis, and research agenda. European Management Review, 20(4). https://doi.org/10.1111/emre.12564
Ahiadu, A. A., Abidoye, R. B., & Yiu, T. W. (2024). Decision-Making Amid Economic Uncertainty: Exploring the Key Considerations of Commercial Property Investors. Buildings, 14(10), 3315. https://doi.org/10.3390/buildings14103315
Arenas, D., Albareda, L., & Goodman, J. (2020). Contestation in Multi-Stakeholder Initiatives: Enhancing the Democratic Quality of Transnational Governance. Business Ethics Quarterly, 30(2), 169–199. https://doi.org/10.1017/beq.2019.29
Awuah, K. G. B., & Abdulai, R. T. (2022). Urban Land and Development Management in a Challenged Developing World: An Overview of New Reflections. Land, 11(1), 129. https://doi.org/10.3390/land11010129
Bauer, F., & Friesl, M. (2022). Synergy Evaluation in Mergers and Acquisitions – an Attention‐Based‐View. Journal of Management Studies, 1(1), 37–68. https://doi.org/10.1111/joms.12804
Belitski, M., Guenther, C., Kritikos, A. S., & Thurik, R. (2021). Economic effects of the COVID-19 pandemic on entrepreneurship and small businesses. Small Business Economics, 58(14630), 593–609. https://doi.org/10.1007/s11187-021-00544-y
Dong, J. Q., Karhade, P. P., Rai, A., & Xu, S. X. (2021). How Firms Make Information Technology Investment Decisions: Toward a Behavioral Agency Theory. Journal of Management Information Systems, 38(1), 29–58. https://doi.org/10.1080/07421222.2021.1870382
Hossain, T., & Siddiqua, P. (2022). Exploring the influence of behavioral aspects on stock investment decision-making: a study on Bangladeshi individual investors. PSU Research Review. https://doi.org/10.1108/prr-10-2021-0054
Malginov, G., & Sternik, S. (2023). The Housing Market in Russian Cities and Housing Construction in 2022. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4499744
Melser, D., & Hill, R. J. (2018). Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence. The Journal of Real Estate Finance and Economics. https://doi.org/10.1007/s11146-018-9668-x
Mwania, E. K. (2023). Performance of Listed Investment Firms in East Africa: a Comparative Analysis Across the Pre-, During, and Post Covid-19 Period. Uonbi.ac.ke, 1(1). http://erepository.uonbi.ac.ke/handle/11295/167197
Newell, G., & Marzuki, M. J. B. (2022). The increasing importance of the alternate real estate sectors for institutional investors. Journal of General Management, 49(1), 030630702211477. https://doi.org/10.1177/03063070221147742
Nukala, V. B., & Rao, S. S. P. (2021). Role of debt-to-equity Ratio in Project Investment valuation, Assessing Risk and Return in Capital Markets. Future Business Journal, 7(1), 1–23. springeropen.
Nzau, B. (2020). Harnessing the Real Estate Market for Equitable Affordable Housing Provision in Nairobi, Kenya: Insights from California, Usa - ProQuest. Www.proquest.com. https://search.proquest.com/openview/48cbcb288842333471acdb304d227564/1?pq-origsite=gscholar&cbl=2026366&diss=y
Tyson, J., Diwakar, V., Adetutu, M. O., & Bishop, J. (2020). Inclusive economic growth in Kenya: The spatial dynamics of poverty. Www.econstor.eu. https://www.econstor.eu/handle/10419/233929
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Copyright (c) 2025 Gilbert Oyugi Mososi, Dr James Gatauwa, PhD
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