EFFECT OF BEHAVIORAL BIAS ON REAL ESTATE PRICES IN KENYA (A CASE OF REAL ESTATES IN KIAMBU COUNTY)
Abstract
The study sought to find the effect of behavioral finance concepts (or biases), on the effect of real estate prices in Kiambu County. The study used descriptive survey design. The finding of the study revealed that overconfidence bias, herding effect, gamblers fallacy and regret aversion positively influenced real estate market prices. Results of the inferential statistics such as unstandardized regression coefficients showed a positive effect on real estate prices in Kenya. This further indicated that these behavioural bias factors had a significant effect on real estate prices in Kenya as indicated by the low p values. Regression model showed that there was positive relationship between behavioural bias factors and real estate prices in Kenya. The behavioral bias calls for a serious concern in any business investment, the more reason why this study turned a beam light on the subject matter. From the findings of the study, it was revealed that behavioral biases influence real estate prices in Kenya. Thus the study concluded that behavioral biases influence real estate prices in Kenya. Regarding demographic characteristics of the respondents, the study concluded that behavioral biases is an issue that is crosscutting regardless of gender, marital status, age, education level and so on. Based on objective one, the study found out that there was a significant relationship between overconfidence bias and real estate prices in Kenya. Thus the study concluded that overconfidence affects real estate prices in Kenya positively. The study found out that there is insignificant relationship between herding effect and real estate prices in Kenya. Thus the study concluded that herding does not influences real estate prices in Kenya. Thus the study concluded that gamblers fallacy influences real estate prices in Kenya. It was found out that regret aversion have a significant relationship with real estate prices in Kenya. Thus the study concluded that regret aversion influence real estate prices in Kenya. Based on the findings of this research it was recommended that the individual investors need to analyses the investment factors carefully using the reasonable business knowledge before making an investment decision. The investors should also be able to interpret the market and economic indicators of various industries and firms in the market since they influence the performance of the real estate investment.
Key Words: Overconfidence Bias, Herding Effect, Gamblers Fallacy, Regret Aversion
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Aroni, J. (2014). The Effect of Financial Information on Investment in Shares – A Survey of Retail Investors in Kenya. International Journal of Business and Commerce Vol. 3, No.8: Apr 2014[58-69] (ISSN: 2225-2436) Published.
Agnello, L. and Schuknecht, L. (2009). Booms and Busts in Housing Markets Determinants and Implications. European Central Bank, Working Paper Series no 1071/July 2009.
Barber, B., & Odean, T. (2001). Boys will be boys: Gender, overconfidence and common stock investment. Quarterly Journal of Economics, 16, 262-292.
Barberis, N. and Thaler, R. (2003). A Survey of Behavioral Finance. Handbook of the economics of finance. Volume 1B. Financial markets and asset pricing, 1053-1123.
Birau, R. F (2012). The impact of Behavioral finance on stock markets. Annals of the „Constantin Brâncuşi” University of Târgu Jiu, Economy Series, Issue 3/2012
Bikhchandani, S., Hirshleifer, D. and Welch. I. 1992. A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades. Journal of Political Economy 100, 992-1026.
Bokhari, S., and Geltner, D. (2010). Loss Aversion and Anchoring in Commercial Real Estate Pricing: Empirical Evidence and Price Index Implications.‖ Real Estate Economics 39.4 (2011): 635–670.
Brabazon, T. (2001).”Behavioral Finance: A New Sunrise or a False Down?”
Brown, David T., (2000) .Liquidity and Liquidation: Evidence from Real Estate Investment Trusts, The Journal of Finance 55, 469–485.
Brzezicka J. and Wisniewski R., (2014) Price bubble in the real estate market - behavioral aspects, Real Estate Management and Valuation, vol. 22, no. 1, pp. 80-93.
Case, K. and Shiller, R. (2009). The Efficiency of the Market for Single -Family Homes, American Economic Review, 79, 125-37.
Case, J. M. Quigley, and R. Shiller, 2005, Comparing wealth effects: The stock market versus the housing market, Advances in Macroeconomics 5, 1.
Constantinescu, M. (2010). “What is the “duration” of Swiss direct real estate?" Journal of Property Investment and Finance, Vol. 28 Iss: 3, pp.181 – 197.
Cooper, D.R., and Schindler P.S (2006). Business Research Methods (6th Ed).New York, N.Y: Mc
Graw-Hill
Cox. D. R, and Snell. E. J (1989). The analysis of Binary Data. Second Edition, London: Champman and Hall.
Chelangat, M.P. (2011).”Relationship between gender and age and investor decision making behavior at the Nairobi Securities Exchange”. Unpublished MBA research proposal. University of Nairobi.
Chen, G., Kim, K.A. Nofsinger, J.R. and Rui, O.M. (2007). Trading performance, disposition effect, overconfidence, representativeness bias, and experience of emerging market investors. Journal of Behavioral Decision Making, 20 (4), 425-451.
Chira, I. Adams, M. and Thornton, B. (2008). Behavioral Bias within the Decision Making Process. Journal of Business and Economics Research August 2008 Volume 6, Number 8 11.
Daniel, K. Hirshleifer, D. and Subrahmanyam, A. (1998). Investor psychology and security market under- and overreactions, Journal of Finance 53 (1998), pp. 1839–1886.
De Bondt, W.F.M., Thaler, R.H. (1994). Financial Decision-Making in Markets and Firms: A Behavioral Perspective, National Bureau of Economic Research, Working Paper No. 4777.
Damaris A. (1992). Logit Modeling; Practical Applications. Newbury, P.K, CA: Sage.
Dennis, R. Patrick, H.C. Christopher, H.C.M. and Mayer, J. (2002). Determinants of real house price dynamics. National Bureau of Economic Research 1050 Massachusetts Avenue, Working paper 9262.
Choka. D (2012). The effect of investor sentiment on real estate investment decisions in Kenya. Unpublished MSC finance project, University of Nairobi.
Fama E. (1965). The Behavior of Stock-Market Prices, Journal of Business, 38(1), pp. 34-105.
Fama E. and French R., (1993), Common Risk Factors in the Returns on Stock and Bonds, Journal of Financial Economics, 33(1), pp. 3-56.
Fama. Eugene F., (1997). Market efficiency, long term returns and ' behavioral finance'. Journal of Finance and Economics 49(1998) 283-306.
Favilukis, J. Ludvigson, S and Nieuwerburgh, S.V. (2011). Macroeconomic implications of housing wealth, housing finance, and limited risk-sharing in general equilibrium, NBER working paper.
Fogel, O. and Berry, T. (2006). The disposition effect and individual investor decisions: the roles of regret and counterfactual alternatives. Journal of Behavioral Finance, 7 (2), 107–116.
Fromlet, H. (2001).Behavioral Finance-Theory and Practical Application. Business Economics, 36(3).
Genesove, D. and Mayer, C. (2001). Loss aversion and seller behavior: evidence from the housing market. Quarterly Journal of Economics, 116 (4), 1233−1260.
Goedhart, Marc H, Koller, Timothy M. Wessels, David. (2005). What really drives the market? MIT Sloan Review, 47(1), 21-24.
Ghysels, E. Plazzi, A. Torous, W. (2012).Forecasting Real Estate Prices. Handbook of Economic Forecasting: Vol II, G. Elliott and A. Timmermann (Eds.), Elsevier.
Grether, D. M., Mieszkowski, P. (2003).Determinants of Real Estate Values. Journal of urban economics1, 127-146.
Genesove, D., and C. Mayer (2001). Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, 116(4), 1233-1260.
Havard T. (1999), “Do Valuers Have a Greater Tendency to Adjust a Previous Valuation Upwards or Downwards” Journal of Property Investment and Finance, Vol 17 No 4, pp.365-373.
Hirshleifer, David, and Teoh, Slew Hong. 2003. Herd Behavior and Cascading in Capital Markets: a Review and Synthesis. European Financial Management 9(1): 25 – 66.
Hass Composite Index, (2012), Hass Consult Ltd http://www.hassconsult.co.ke/hass/index.
Javed, A. Ali, U. Meer, U.I. and Naseem, M.M. (2013). Empirical testing of heuristics interrupting the investor’s rational decision making. European Scientific Journal October 2013 edition vol.9, No.28 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431 432
Johnson, M., Lindblom, H., Platan, P. (2002). Behavioral Finance: And the change of investor behavior during and after the speculation bubble at the end of the 1990s. Master's Thesis in Finance, Lund University.
Kahneman, D and Tversky, A. (1979). “Prospect Theory: An Analysis of Decision under Risk”, Econometrical, 47(2), 263-291.
Kalunda, E.N and Mbaluka P.K, (2012). Test of Endowment and Disposition Effects under Prospect Theory on Decision-Making Process of Individual Investors at the Nairobi Securities Exchange,” Kenya. Research Journal of Finance and Accounting Vol. 3, No 6, 2012, pp 157-171.
Kempf, A. and Ruenzi, S. (2006) ‘Status quo bias and the number of alternatives: an empirical illustration from the mutual fund industry’, Journal of Behavioural Finance, Vol. 7, No. 4, pp.204–213.
Kimani, V. W. (2011). A Survey of Behavioral Factors Influencing Individual Investors’ Choices of Securities at the Nairobi Securities Exchange. Retrieved on 12 March 2013 from http://erepository.uonbi.ac.ke/handle/123456789/11066.
Kipngetich, T. J., Kibet, B. J., Shibia, A. G. & Kipkoskey, B. J. (2011). Determinants of initial public offer pricing in Kenya, London: Annual Conference on Innovations in Business & Management. Retrieved on 16th February 2013 from http://www.cibmp.org/Papers/Paper517.
Kothari C. R. (2008). Research Methodology: Methodology and Techniques (2 Ed.). Age International Publishers: New Delhi.
Lamont, O. and Stein, J (1999). Leverage and House-Price Dynamics in U.S. Cities, RAND Journal of Economics 30, 498–514.
Lemieux. P (2003). Informational Cascades: why everybody thinks alike. Lemieux en Liberté. Montreal, November 22, 2003 / No 133.
Luong, P.L Ha, T.T.D (2011). Behavioral factors influencing individual investor’s decision making and performance. Survey of the Ho Chi Minh Stock Exchange, Umea School of Business Spring semester 2011 Master thesis.
Lo, Andrew W. (2005). Reconciling efficient markets with behavioral Finance: The adaptive markets hypothesis. The Journal of Investment Consulting, 7(2), 21-44.
Loutskina, E., & Strahan, P.E. (2008). Securitization and the declining impact of bank finance on loan supply: Evidence from mortgage originations. The Journal of Finance, 64(2), 861-889.
Macharia, E.W (2013).The effects of Global financial crisis on the financial performance of commercial banks offering mortgage finance in Kenya. International Journal of Economics and Finance Vol.1, Issue 2, 2013.
Miregi M.O, and Obere. A, (2014). Effects of Market Fundamental Variables on Property Prices in Kenya – A Case of Nairobi Residential Property Market. IOSR Journal of Economics and Finance (IOSR-JEF) e-ISSN: 2321-5933, p-ISSN: 2321-5925.Volume 5, Issue 5. (Sep. - Oct. 2014), PP 101-113.
McDonald, John F., (1999). Optimal leverage in real estate investment, Journal of Real Estate Finance and Economics 18, 239–252.
McFadden, Daniel (1974). “Conditional Logit Analysis of Quantitative Choice Behavior,” in Zarembka, Paul, ed., frontiers in econometrics, Academic Press: New York, 105-142.
Mayer, J.C., Sinai, T. (2007). U.S. House Price Dynamics and Behavioral Finance.
Marete .D.K (2011). The determinants of real estate property prices: the case of Kiambu Municipality in Kenya, Unpublished MBA project, University of Nairobi.
Michael, J. S, Vicky, L. S and Mark A. L, (2012) Mental Accounting and False Reference Points in Real Estate Investment Decision Making, Journal of Behavioral Finance, 13:1, 17-26.
Mugenda, O. M. and Mugenda, A. G. (2009). Research Methods: Quantitative and Qualitative Approaches. Nairobi: Acts Press.
Muthama .D. K, (2012). Effects of Investor Psychology on Real Estate market prices in Nairobi, Kenya Unpublished MBA project, University of Nairobi.
Mwaka, S .W. (2013). The effect of demographic characteristics on investor behavior at the Nairobi Securities Exchange (Unpublished MBA research project, University of Nairobi.)
Nagy, R.A. & Obenberger, R.W., (2004) Factors influencing investor behavior, Financial Analysts Journal 50, 63-68.
Nagelkerke, N.J.D (1991). A note on a general definition of the coefficient of determination. Biometrika, 78,691-6925.
Nofsinger J, (2001) psychology of investing 3rd edition, USA Prentice Hall.
Obamuyi, T. M (2013) Organizations and markets in emerging economies, 4, (1)7.
Odean, T (2008). Are Investors Reluctant to Realize Their Losses? Journal of Finance 53, 1775-1798.
Ortalo-Magn´e, F and Rady. S, (2006). Housing Market Dynamics: On the Contribution of Income Shocks and Credit Constraints, Review of Economic Studies 73,459–485.
Rabin, M. (2002), Inference by believers in the law of small numbers. Quarterly Journal of Economics, 117 (3), 775−816.
Rasheed, U. Rafta, S.S, Fatima S, and Maqsood M. (2013). Impact of Behavioral Biases on Investors Decision Making: Male vs. Female. IOSR Journal of Business and Management (IOSR-JBM).
Scharfstein, David S. and Stein, Jeremy C.2000. Herd Behavior and Investment. The American Economic Review 80(1): 465 – 479.
Seiler, V. L., & Lane, M. (2010). Mental accounting and false reference points in real estate investment decision-making, Journal of Behavioral Finance, 13(1), 17-26.
Shefrin, Hersh, (2006), Beyond Greed and Fear: Understanding behavioral finance and the psychology of investing, Harvard Business School Press, Boston, USA.
Shiller, (2007).Understanding Recent Trends in House Prices and Homeowner-ship." Yale University - International Center for Finance, Cowles Foundation Discussion Paper, 2007 (1630).
Shiller, Robert J., and Karl E. Case, (2004). Is there a bubble in the housing market?" Yale University - Research in Economics, Cowles Foundation Discussion Paper, 2007 (1089).
Shefrin, Hersh (2007). Behavioral Corporate Finance. Decisions that Create Value. McGraw- Hill/Irwin. New York, 2007.
Shefrin, Hersh. 2000. Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing. New York: Oxford University Press.
Shefrin, H. and Statman, M. (2000), Behavioral Portfolio Theory, The Journal of Financial and Quantitative Analysis Vol. 35, No. 2 (Jun., 2000), pp. 127-151.
Shleifer, A. and Vishny, R.W (2007), The Limits of Arbitrage, The Journal of Finance, Vol. 52, No. 1, pp. 35-55.
Shleifer, A. (2000). Inefficient Markets: An Introduction to Behavioral Finance. Oxford, U: Press, Oxford.
Spiegel, Matthew, (2001). Housing Return and Construction Cycles, Real Estate Economics 29, 521–551.
Statman, M. (2009). Behavior finance: past battles and future engagements. Financial Analysts Journal, 55 (6), 18–27.
Stepanyan, V. Poghosyan T, and Bibolov A, (2010). House Price Determinants in Selected Countries of the Former Soviet Union. IMF working Paper.
Stohldreier, M.T (2012). The Determinants of House Prices in Chinese Cities. Master Thesis, University of Zurich.
Subash, R. (2012). Role of Behavioral Finance in Portfolio Investment Decisions: Evidence from India. Master Thesis, Charles University in Prague.
Statman, M. fisher, K. Anginer, D. (2008). Affect in a behavioral asset-pricing model, financial analysis journal, 74(2) 20-29.
Stein, Jeremy C., 1995, Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects, The Quarterly Journal of Economics 110, 379–406.
Thaler, R. (1999). The End of Behavioral Finance. Financial Analysts Journal, November/December, 12. The Journal of Behavioral Finance, 5(2): 116-126.
Wang, K., Y. Zhoa, S. Chan, and K. Chau. Over-Confidence and Cycles in Real Estate Markets: Cases in Hong Kong and Asia. International Real Estate Review, 2000, 3:1, 93–108.
Waweru, N., M., Munyoki, E., and Uliana, E. (2008). The effects of behavioral factors in investment decision-making: a survey of institutional investors operating at the Nairobi Stock Exchange. International Journal of Business and Emerging Markets, 1 (1), 24-41.
Zilibotti. F (2012). The Determinants of House Prices in Chinese Cities. Unpublished Master’s degree, University of Zurich.
DOI: http://dx.doi.org/10.61426/sjbcm.v5i2.735
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