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@article{190004,
        author = {Pusa Sri Varsha and G Vinesh Kumar},
        title = {Emotional Intelligence , Behavioral Biases , and their Impact on Derivative Market Churning : Evidence from Hyderabad},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2732-2740},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190004},
        abstract = {Derivative markets display high volatility levels, forcing the behavior of investors in these markets to be dominated by psychological elements that lead to over-churning in most instances. However, the effect that emotional intelligence has on behavioral biasing and the frequency at which derivative markets are over-churned by investors is an aspect that this paper explores. The effect that gender has in moderating these relationships is also measured. The data for testing the model was gathered using a structured survey interview and SPSS software for the analysis. To test for mediating and moderating relationships in path models, the software Hayes’ PROCESS Macro for regression in path models using ordinary least squares regression/BOOTES for bootstrap estimation was employed. Results show that emotional intelligence is significant in the influence it creates on behavioral biasing that in turn causes an increase in the rate at which the markets are over-churned, presenting strong evidence that in fact, there is significant mediating effect. Emotional intelligence also creates a significant direct effect on churning behavior, indicating that not always does increased emotional intelligence lead to the cessation of over-churned rates in derivative markets. While gender creates significant direct effect on churning rate, however, significance in moderation effect is not significant in that gender does not have any significant effect in modifying behavioral biasing to churning behavior.},
        keywords = {Emotional Intelligence Behavioral Biases Churning Frequency Derivative Market Investor Psychology Behavioral Finance Hayes’ PROCESS Macro Mediation and Moderation Analysis Gender Effects},
        month = {January},
        }