An SPSS-Based Evaluation of Investor Knowledge, Analytical Proficiency, and Macroeconomic Awareness Influencing Decision-Making Efficiency in MCX Commodity Trading

Abstract

This SPSS-based study aimed to evaluate how investor knowledge, analytical proficiency, and macroeconomic awareness influence decision-making efficiency in MCX commodity trading. Using a quantitative approach, the research employed descriptive statistics, correlation, regression, ANOVA, chi-square, and exploratory factor analysis (EFA) to assess behavioural dimensions of investor decision-making. Reliability analysis (Cronbach’s Alpha = 0.786) confirmed the internal consistency of the behavioural scale. Correlation analysis revealed strong positive relationships among macroeconomic awareness, analytical behaviour, and trading performance, while regression results (R² = 0.407, F = 96.673, p < 0.001) validated that macroeconomic and analytical proficiency significantly enhance trading efficiency. ANOVA and t-test results showed demographic influences-experienced investors exhibited higher macroeconomic awareness, and male investors were more responsive to geopolitical risks. EFA identified three dominant behavioural constructs-Technical Analysis Orientation, Fundamental Risk Management, and Macroeconomic Awareness-explaining 79.33% of total variance. Chi-square analysis further confirmed a significant association between educational qualification and macroeconomic awareness. Overall, the findings establish that investors who integrate technical, fundamental, and macroeconomic insights achieve superior decision-making efficiency and confidence, underscoring analytical diversity as a key driver of success in MCX commodity trading.