Scholarlink

<p>The growth of social media recently has made individual investors more reliant on online media for information. This trend significantly affects investor behavior and information disparity. For instance, social media can lead to the phenomenon of “meme stocks," in which stock prices rapidly rise and fall. Despite increasing interest in meme stocks, few studies have focused on the information disparity. In this study, we model meme stocks focusing on investors who are influenced by social network information, leading to information spread. We combine the Susceptible-Infectious-Recovered (SIR) model with a network model in an artificial market simulation to examine information disparity among individual investors. Our findings show that conventional investors generally profit, whereas social media investors incur losses. Additionally, the profits of social media investors are heavily affected by their network structure and their network distance from the information source. The results highlight the issue of information inequality in financial markets and offer important guidance for policymakers.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月17日

查看全文
  • Miyuki Matsumoto,
  • Ryuji Hashimoto,
  • Masahiro Suzuki,
  • Yuri Murayama,
  • Kiyoshi Izumi

摘要

The growth of social media recently has made individual investors more reliant on online media for information. This trend significantly affects investor behavior and information disparity. For instance, social media can lead to the phenomenon of “meme stocks," in which stock prices rapidly rise and fall. Despite increasing interest in meme stocks, few studies have focused on the information disparity. In this study, we model meme stocks focusing on investors who are influenced by social network information, leading to information spread. We combine the Susceptible-Infectious-Recovered (SIR) model with a network model in an artificial market simulation to examine information disparity among individual investors. Our findings show that conventional investors generally profit, whereas social media investors incur losses. Additionally, the profits of social media investors are heavily affected by their network structure and their network distance from the information source. The results highlight the issue of information inequality in financial markets and offer important guidance for policymakers.