Cognitive Biases and Portfolio Decisions: A Neurofinance Perspective on Investor Irrationality
DOI:
https://doi.org/10.65579/sijri.2026.v2i4.02Keywords:
Cognitive Biases; Portfolio Decision-Making; Neurofinance; Investor Irrationality; Behavioural Finance; Overconfidence Bias; Loss Aversion; Herd Behaviour; Anchoring Bias; Risk Perception; Decision-Making Processes; fMRI Studies; Emotional Influences; Heuristics; Financial MarketsAbstract
In this paper, the author examines the application of cognitive biases in influencing the portfolio decisions using a neurofinance lens, combining behavioural finance and neuroscience to comprehend investor irrationality. Conventional theories of finance presuppose rational decision making; but real world experience shows over and over again that there are deviations of decisions which are caused by psychological and neural mechanisms. This paper will discuss the effects of biases on investment decisions and portfolio allocation, including overconfidence bias, loss aversion bias, herd behaviour bias, and the anchoring bias.
Using a mixed-method approach, the research incorporates the secondary data in the literature of behavioural finance and insights provided by neuroimaging research, especially functional magnetic resonance imaging (fMRI) studies, which show the brain activity related to risk perception and decision-making. The results indicate that emotional and cognitive judgments that are mediated by certain brain areas, including the amygdala and prefrontal cortex, have a considerable influence on financial judgment. During uncertainty, investors tend to use the heuristics that induces systematic errors and inefficient portfolio performance.
Another observation made in the paper is that overconfidence may cause over-trading and under-diversification and loss aversion may cause investors to hold onto losing assets longer than necessary. Market bubbles and crashes are the result of irrationality, herd behaviour. The study allows a better insight into why investors do not follow rational models by associating the biases with the underlying neural processes.
The research will conclude that the understanding of neurofinance in portfolio management could help to improve the investment strategy by recognizing and avoiding the effects of cognitive biases. It underlines the importance of educating investors to improve the decision-support systems and the behavioural interventions to rational financial behaviour. This research contributes to the developing field of neurofinance, by bridging the gap between concepts and implementation offering a comprehensive perspective on the way in which investors make decisions in complicated financial situations.
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