Effect of behavioral biases on equity investment decisions among retail investors in the Nairobi Securities Exchange

Abstract

The research proposal titled "Effect of Behavioral Biases on Equity Investment Decisions Among Retail Investors in the Nairobi Securities Exchange. It highlights that while conventional financial theories, such as the Efficient Market Hypothesis (EMH), posit that markets are rational and operate under perfect information, actual investor behavior often deviates due to various behavioral biases. This research identifies key biases such as overconfidence, herding, loss aversion, and anchoring, which significantly influence the decision-making processes of retail investors. The study underscores the necessity of understanding these biases, especially in emerging markets like Kenya, where the interplay of socio-economic and cultural variables may lead to unique manifestations of irrational investing behavior. Through a comprehensive literature review, the research identifies gaps in existing studies, particularly the lack of empirical data on retail investors in developing countries compared to their counterparts in developed nations. The objectives of the study include investigating the specific effects of herding, risk aversion, and anchoring on equity investment decisions among NSE investors, as well as formulating hypotheses to explore these relationships. The methodology incorporates a quantitative approach, utilizing a sample of retail investors from NSE brokerage firms, applying regression analysis to establish causal relationships between identified behavioral biases and investment decisions. Retail investors exhibit various behavioral biases, including recency bias, familiarity bias, overconfidence, herding behavior, and anchoring bias, which significantly influence their equity investment decisions. Anchoring, driven by initial stock prices and historical reference points, alongside herding and risk aversion, plays a critical role, with these biases collectively explaining 90% of the variability in decisions. The reliance on digital platforms and social media amplifies impulsive, intuition-driven decisions, often leading to suboptimal outcomes such as limited diversification and poor long-term portfolio performance. These findings underscore the need for targeted investor education to mitigate biases like herding and risk aversion, promoting independent decision-making and better diversification strategies. Policymakers and regulators can address these challenges by improving access to accurate market data, fostering transparency, and encouraging evidence-based investing. Future research should explore the persistence of biases over time, demographic influences, the impact of technologies like AI, and the effectiveness of financial literacy programs in reducing these biases, particularly in emerging markets like Kenya.