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This study investigates the existence of heuristics biases in Colombo Stock Exchange and their effect on investment performance from individual investor’s point of view. In specific, the effects of anchoring, availability bias, gamblers fallacy, overconfidence and representativeness are investigated. Further, the study inspects whether the heuristics biases differ between younger and older investors. The primary data were collected by survey from 425 individual investors. The data were analyzed using multivariate analysis such as Confirmatory Factor Analysis (CFA) and Structure Equation Modeling (SEM). The results show that there is a statistically significant effect of anchoring, availability bias, overconfidence and representativeness bias on investment performance. However, gamblers fallacy not significantly affects investment performance. Furthermore, statistically significant differences are found between the answers of younger and older investors. This study, hopefully, will help investors to be aware of the impact of their own heuristics bias on their decision making in the stock market, thus increasing the rationality of investment decisions for enhanced market efficiency.
Pathirawasam C, Idirisinghe MSK. Market efficiency, thin trading and non-linear behaviour: Emerging market evidence from Sri Lanka. Economic and Management. 2011;(1):112. Available:https://search.proquest.com/openview/f12d73f0556d74
Barberis N, Thaler R. A survey of behavioral finance. Handbook of the Economics of Finance, edited by G. M. Constantinides, M. Harris, R. Stulz, Chapter 18. Financial markets and asset pricing. 2003;1053-1123.
Luong L, Thu Ha D. Behavioral factors influencing individual investors’ decision making and performance, Master thesis, Umeå School of Business, Spring semester; 2011.
Ritter JR. Behavioral finance. Pacific-Basin Finance Journal. 2003;11(4):429-437.
Lintner J. The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. The review of economics and statistics. 1965;13-37.
Sharpe WF. Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance. 1964;19(3): 425-442.
Fama EF. Efficient capital markets: A review of theory and empirical work. The Journal of Finance. 1970;25(2):383-417.
Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society. 1979;263-291.
Alrabadi DWH, Al-Abdallah SY, Aljarayesh NIA. Behavioral biases and investment performance: Does gender matter? Evidence from Amman Stock Exchange. Jordan Journal of Economic Sciences. 2018;5(1).
Kahneman D. A perspective on judgment and choice: mapping bounded rationality. American psychologist. 2003;58 (9):697.
Yalcin KC, Tatoglu E, Tatoglu E, Zaim S, Zaim S. Developing an instrument for measuring the effects of heuristics on investment decisions. Kybernetes. 2016; 45(7):1052-1071. Available:https://doi.org/10.1108/K-05-2015-0130.
Jaya Mamta Prosad, Sujata Kapoor Jhumur Sengupta. Behavioural biases of Indian investors: A survey of Delhi-NCR region. Qualitative Research in Financial Markets. 2015;7(3)230–263.
Tversky A, Kahneman D. Judgment under uncertainty: Heuristics and biases. Science, New Series. 1974;185(4157): 1124-1131.
Malkiel B. The efficient market hypothesis and its critics. Journal of Economic Perspectives. 2003;17(1):59-82.
Corredor P, Ferrer E, Santamaria R. The impact of investor sentiment on stock returns in emerging markets: The case of central european markets. Eastern European Economics. 2015;53(4):328-355.
Lim KP, Brooks RD. Why do emerging stock markets experience more persistent price deviations from a random walk over time? A countrylevel analysis. Macroeconomic Dynamics. 2012;14(S1):3-41.
Chen G, Kim KA, Nofsinger JR, Rui OM. Trading performance, disposition effect, overconfidence, representativeness bias, and experience of emerging market investors. Journal of Behavioural Decision Making. 2007;20(4):425-451.
Kudryavtsev A, Cohen G. Behavioural biases in economic and financial knowledge: Are they the same for men and women? Advances in Management and Applied Economics. 2011;1(1):15.
Kaustia M, Alho E, Puttonen V. How much does expertise reduce behavioral biases? The case of anchoring effects in stock return estimates. Financial Management. 2008;37(3):391-412.
Kliger D, Kudryavtsev A. The availability heuristic and investors’ reaction to company-specific events. Journal of Behavioral Finance. 2010;11(1):50-65.
Shefrin H. Beyond greed and fear: Finance and the psychology of investing. Chapters 1-3. Oxford University Press, UK; 2000.
Barber BM, Odean T. All that glitters: The effect of attention on the buying behavior of individual and institutional investors. Review of Financial Studies. 2008;21:785-818.
Park J, Bin Gu P, Kumar A, Raghunathan, R. Confirmation bias, overconfidence, and investment performance: Evidence from stock message boards. Working Paper; 2010. Available:https://www.misrc.umn.edu/wise/papers/p1-3.pdf
Kempf A, Ruenzi S. Status quo bias and the number of alternatives: An empirical illustration from the mutual fund industry. The Journal of Behavioral Finance. 2006;7 (4):204-213.
Waweru NM, Munyoki E, Uliana E. The effects of behavioural factors in investment decision-making: A survey of institutional investors operating at the Nairobi Stock Exchange. International Journal of Business and Emerging Markets. 2008;1 (1):24-41. Available:https://doi.org/10.1504/IJBEM.2008.019243.
Rao JM. When the Gambler’s fallacy becomes the hot hand fallacy: An experiment with experts and novices. University of California, Working Paper; 2009.
Barber BM, Odean T. The courage of misguided convictions. Financial Analysts Journal.1999;55(6):41-55. DOI:10.2469/faj.v55.n6.2313
Trivers R. Deceit and self-deception. In R. Robinson L. Tiger (Eds.), Man and beast revisited. Washington, DC: Smithsonian; 1991.
Barber BM, Odean T. Boys will be boys: Gender, overconfidence and common stock investment. The quarterly journal of economics. 2001;116(1):261-292.
Statman M, Thorley S, Vorkink K. Investor overconfidence and trading volume. The Review of Financial Studies. 2006;19(4): 1531-1565.
Fenton‐O'Creevy, M, Nicholson, N, Soane, E, Willman P. Trading on illusions: Unrealistic perceptions of control and trading performance. Journal of occupational and organizational psychology. 2003;76(1):53-68.
Kirchler E, Maciejovsky B. Simultaneous over-and underconfidence: Evidence from experimental asset markets. Journal of Risk and Uncertainty. 2002;25(1):65-85.
Gilovich T, Griffin D, Kahneman D. Heuristics and biases: The psychology of intuitive judgment. New York: Cambridge University Press; 2002.
Ji L, Zhang Z. To buy or sell: Cultural differences in stock market decisions based on price trends. Working paper, Queen’s University, Kingston, Ontario; 2006.
Rekik Y, Boujelbene Y. Determinants of individual investors’ behaviors: Evidence from tunisian stock market. IOSR Journal of Business and Management. 2013;8(2): 109-119.
Onsomu Z. The impact of behavioral biases on investor decisions in kenya: male vs. female. International Journal of Research in Humanities, Arts and Literature. 2014;2(6):87-92.
Hox JJ, Bechger TM. An introduction to structural equation modeling; 1998.
Byrne BM. Multivariate applications series. Structural equation modeling with AMOS: Basic concepts, applications and programming (2nd Ed.). New York, NY, US: Routledge/Taylor & Francis Group; 2010.
Browne MW, Cudeck R. Alternative ways of assessing model fit. Sage focus editions. 1993;154:136-136.
Blunch NJ. Introduction to structural equation modeling using ibm spss statistics and amos. 2nd edition, Sage Publications Ltd; 2013.