Paper Key : IRJ************049
Author: Nair Abhishek Madhu,Patel Mayuri Mohan Alka
Date Published: 12 Apr 2024
Abstract
Understanding the dynamics of stock market website traffic is crucial for investors, analysts, and stakeholders alike. This study investigates the relationship between various factors and the density of website traffic on stock market platforms. Utilizing primary data collected from a diverse range of users, this research employs the Chi-Square analysis to assess the significance of different variables in influencing website traffic density. The primary data collection involves surveying users regarding their demographics, investment habits, preferences, and the frequency of website visits. The Chi-Square test is then applied to analyze the association between these factors and the observed website traffic density. Additionally, qualitative insights are gathered to provide a comprehensive understanding of usersbehaviors and motivations. The findings of this study offer valuable insights into the factors driving stock market website traffic density. By identifying significant correlations between user characteristics and website engagement, stakeholders can tailor their platforms and marketing strategies to effectively target and engage specific user segments. Furthermore, this research contributes to the growing body of literature on online financial behavior and provides practical implications for stock market platform optimization and user engagement strategies.
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