Key points are not available for this paper at this time.
The current study "effect of behavioural biases on investment decisions of individual investors in India" aims to uncover and quantify the influence of behavioural biases on individual investors' investment decisions. The study's goal is to examine the influence of behavioural biases on individual investors' investing decisions. It is discovered that five components are formed from the thirteen items as a consequence of heuristics factor analysis, namely Availability, Representativeness, Overconfidence, Anchoring, and Gambler's Fallacy. The prospective factor analysis also reveals that three components are retrieved and loaded from the eleven items, namely Loss Aversion, Regret Aversion, and Mental Accounting. According to the findings of this study, behavioural biases affect individual investors while making investment decisions in the Indian securities market. Investor behaviour in making investment decisions is influenced to a larger extent by availability, representativeness, overconfidence, anchoring, and loss aversion. To be successful, an investor must first understand his or her own investment behaviour, which begins with recognising and avoiding behavioural biases from their own experiences, followed by setting realistic and achievable goals through a diversifiable portfolio, and taking into account all financial market mechanisms.
Rizwana Atiq (Sat,) studied this question.