Title: EFFECT OF BEHAVIOURAL BIASES ON INVESTMENT DECISIONS
FOR INDIVIDUAL INVESTORS AT NAIROBI SECURITIES EXCHANGE
Authors: CYNTHIA KARENDI KIVUTI, Dr. Onesmus Mutunga
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1CYNTHIA KARENDI KIVUTI, 2Dr. Onesmus Mutunga1. SCHOOL OF BUSINESS, UNIVERSITY OF NAIROBI, KENYA
2. Lecturer, School of Business, University Of Nairobi, Kenya
MLA 8 KIVUTI, CYNTHIA KARENDI, and Dr. Onesmus Mutunga. "EFFECT OF BEHAVIOURAL BIASES ON INVESTMENT DECISIONS FOR INDIVIDUAL INVESTORS AT NAIROBI SECURITIES EXCHANGE." Int. j. of Social Science and Economic Research, vol. 5, no. 5, May 2020, pp. 1354-1389, ijsser.org/more2020.php?id=94. Accessed May 2020.
APA KIVUTI, C., & Mutunga, D. (2020, May). EFFECT OF BEHAVIOURAL BIASES ON INVESTMENT DECISIONS FOR INDIVIDUAL INVESTORS AT NAIROBI SECURITIES EXCHANGE. Int. j. of Social Science and Economic Research, 5(5), 1354-1389. Retrieved from ijsser.org/more2020.php?id=94
Chicago KIVUTI, CYNTHIA KARENDI, and Dr. Onesmus Mutunga. "EFFECT OF BEHAVIOURAL BIASES ON INVESTMENT DECISIONS FOR INDIVIDUAL INVESTORS AT NAIROBI SECURITIES EXCHANGE." Int. j. of Social Science and Economic Research 5, no. 5 (May 2020), 1354-1389. Accessed May, 2020. ijsser.org/more2020.php?id=94.
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Abstract: While investors have traditionally been viewed as rational, with time, some variations from
rationality have been experienced and this can be attributed to behavioural biases affecting
investors. Investors trade excessively, follow the behaviours of other investors and sell wining
stocks while holding onto losing stocks. The researcher aimed to determine the effect of
behavioural biases on investment decisions for individual investors at NSE. The target
population was individual investors at NSE.A sample of 100 investors was selected for this study
and data collected through questionnaires. In the study, descriptive research design was used, as
it is good in explaining behaviours and attitudes. Descriptive and inferential statistics were
employed in the analysis and STATA 13.0 was used for analysis. Data were expressed in
frequencies and percentages and results presented in tables and figures. The relationship
between the dependent and independent variable was established using simple regression
analysis. Regression diagnostics tests including tests for normality, heteroscedasticity and
multicollinearity were carried out to ensure fitness of the model. The researcher did correlation
analysis and results indicate there was a significant weak negative correlation between anchoring
and investor's percentage returns. (R= -0.30, P= 0.03). Regression results indicate that
anchoring, availability and herding had a significant effect on investment decisions with a P
value of 0.03 for anchoring , 0.04 for availability and 0.04 for herding. Results indicates that
investors who have anchoring and availability had lower returns than those without the biases.
Those who had herding behaviour experienced better results than those who had no herding
behaviour. Other behavioural biases were found to have no significant effect on investor's
returns. From the multivariable analysis, R2 results indicate that 27.90% of the changes in
investors returns can be explained by behavioural biases. The other changes in returns, 72.10%
can be explained by other factors not accounted for in this study. F test from ANOVA analysis
indicate that there were no big variances in the means. The study concludes that investors
experience biases that affect their decisions and thus they should be sensitised on how to carefully analyse the markets and the information available to avoid poor decisions. The study
recommends more education on finance topics to increase knowledge in the field.
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