Emotional Intelligence And Behavioral Bias On Stock Trading Decisions In Robo Advisor Moderation In The Millennial Generation

Main Article Content

Arista Widya Rahman
Nindi Vaulia Puspita

Abstract

Research aim : To understand the investment behavior of the millennial generation in the Indonesian stock market with a focus on the relationship between Emotional Intelligence (EI), behavioral bias, and stock trading decisions.


Design/Methode/Approach : Using a quantitative descriptive approach with Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Data was collected through an online survey targeting 100 millennials.


Research Finding : Emotional Intelligence and Behavioral Bias positively influence Stock Trading Decisions. Robo Advisor also has a positive impact.


Theoretical contribution/Originality : This research presents a new contribution by delving into the complex interaction between EI, behavioral bias, and the moderating impact of Robo Advisor on stock trading decisions for the millennial generation.


Practitionel/Policy implication : Practical recommendations are provided for market players, robo advisors, and millennials. Policy implications relate to understanding and implementing adaptive investment solutions


Research limitation : Sample limitations, external factors, and advantages/disadvantages of the PLS-SEM method

Article Details

How to Cite
Rahman, A. W., & Puspita, N. V. . (2024). Emotional Intelligence And Behavioral Bias On Stock Trading Decisions In Robo Advisor Moderation In The Millennial Generation. Kilisuci International Conference on Economic &Amp; Business, 2, 680–686. Retrieved from https://proceeding.unpkediri.ac.id/index.php/kilisuci/article/view/4213
Section
Articles

References

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