Gender Differences in Behavioural Biases Affecting Investment Preferences in Delhi

Abstract

This study examines how behavioural biases differ between male and female investors and how these biases shape investment preferences in Delhi. The main aim is to find out what factors influence investment choices, how gender impacts risk-taking and diversification habits, and what can be suggested to financial advisors to handle these differences better. The research followed a descriptive design using both primary and secondary data. A total of 400 respondents were surveyed using a structured questionnaire that covered demographic details, multiple choice, and Likert-scale questions. Statistical tools like Frequency Analysis, Descriptive Statistics, Normality Test, Reliability Test, Regression Analysis, Chi-Square Test, Paired Samples t-Test, Pearson Correlation, and ANOVA were used to analyse the data. The findings reveal that investors mostly prefer safe options, and their decisions are guided by biases like herding and fear of loss. Gender plays a big role in the choice of information sources and risk comfort. The normality and reliability tests ensured that the data and tool were sound and dependable. Regression and ANOVA results showed strong links between behavioural factors and investment behaviour. The study concludes that to improve financial inclusion, there should be more gender-based awareness programmes to guide investors towards better risk management and portfolio choices. The insights can help advisors and policymakers design more focused investor education in India.