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All Journal MABIS: Manajemen dan Bisnis KIC
Rahman, Arista Widya
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Emotional intelligence and behavioral biases on millennial stock trading decisions: a case study of Bibit investors Rahman, Arista Widya; Puspita, Nindi Vaulia; Yuliari, Kartika
Manajemen dan Bisnis Vol 23, No 2 (2024): September 2024
Publisher : Department of Management - Faculty of Business and Economics. Universitas Surabaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/mabis.v23i2.801

Abstract

This research explores the relationship between Em otional Intelligence (EI) and Behavioral Bias with Decision-Making Processes in Stock Trading among Millennial Investors. Data were collected through an online survey of 100 investors using the Bibit platform and analyzed using multiple linear regression and SPSS statistical software. The research findings indicate that Emotional Intelligence and Behavioral Bias significantly influence stock trading decisions, with a determination coefficient reaching 76%. This underscores the importance of understanding psychological factors in investment decision-making among the millennial generation. Therefore, raising awareness of Emotional Intelligence and mitigating Behavioral Bias can enhance the quality of stock trading decisions among millennials in the stock market, thereby contributing to long-term financial success
Emotional Intelligence And Behavioral Bias On Stock Trading Decisions In Robo Advisor Moderation In The Millennial Generation Rahman, Arista Widya; Puspita, Nindi Vaulia
Proceeding Kilisuci International Conference on Economic & Business Vol. 2 (2024): Proceeding Kilisuci International Conference on Economic and Business
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/9edeg096

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
Co-Authors Nindi Vaulia Puspita, Nindi Vaulia Yuliari, Kartika