Scholarlink

The Russo-Ukrainian War has significantly influenced global dynamics, impacting various economic sectors, including the cryptocurrency market. This study focuses on the Crypto Compare Index 30 (CCI-30), considered the top 30 cryptocurrencies from 2018 to 2024. The research uses correlation analysis and a linear regression model to examine the extent of the war’s impact on the CCI-30. Subsequently, a neural network model employing the Nadam optimization algorithm was developed to predict the performance of the CCI-30 based on date and Russo-Ukrainian war variables. The optimized model, featuring five hidden layers, demonstrated a robust predictive capability with an R2 value of 98% and an RMSE of approximately 0.0393. These results revealed the significance of geopolitical events in analyzing movements within the cryptocurrency market.

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

Cryptocurrency in a Time of Conflict: Assessing the Russo-Ukrainian War’s Impact on the CCI-30 Index

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Hazem Al-Najjar,
  • Dana Al-Najjar,
  • Nadia Al-Rousan,
  • Miral R. Samarah

摘要

The Russo-Ukrainian War has significantly influenced global dynamics, impacting various economic sectors, including the cryptocurrency market. This study focuses on the Crypto Compare Index 30 (CCI-30), considered the top 30 cryptocurrencies from 2018 to 2024. The research uses correlation analysis and a linear regression model to examine the extent of the war’s impact on the CCI-30. Subsequently, a neural network model employing the Nadam optimization algorithm was developed to predict the performance of the CCI-30 based on date and Russo-Ukrainian war variables. The optimized model, featuring five hidden layers, demonstrated a robust predictive capability with an R2 value of 98% and an RMSE of approximately 0.0393. These results revealed the significance of geopolitical events in analyzing movements within the cryptocurrency market.