Exploring the Relationship Between Google Trends and Cryptocurrency Metrics

IF 0.7 Q3 ECONOMICS Studies in Business and Economics Pub Date : 2024-05-21 DOI:10.2478/sbe-2024-0020
Ramona Orăştean, Silvia Cristina Mărginean, Raluca Sava
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Abstract

Bitcoin and Ethereum are the two largest cryptocurrencies in the world by market capitalization and trading volume and the most popular despite high price fluctuations. This paper analyzes the relationship between Bitcoin and Ethereum metrics and the internet search interest on cryptocurrencies. As the literature shows, Google searches signal investor attention and Google Trends has proven useful for nowcasting economic and financial indicators. We aim to find the impact of Google Trends on Bitcoin and Ethereum prices, trading volumes and market capitalization since 2015 and discuss the potential correlations and patterns that may exist between these metrics and Google search interest. Through correlation and time-series analysis, we provide insights into the dynamics of this relationship and its implications for understanding cryptocurrency market behavior. The interest in cryptocurrencies tracked by Google Trends is a good indicator of measuring the social interest in the cryptocurrency market that drives a price movement. On the other hand, the price fluctuations of Bitcoin and Ethereum generate media and social attention and increase the interest in these cryptocurrencies. We also observe a positive effect of Google Trends values on trading volumes. The findings could help investors to understand the cryptocurrencies dynamics and build their trading strategies and could be of special interest to policymakers.
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探索谷歌趋势与加密货币指标之间的关系
按市值和交易量计算,比特币和以太坊是世界上最大的两种加密货币,也是最受欢迎的加密货币,尽管价格波动很大。本文分析了比特币和以太坊指标与加密货币互联网搜索兴趣之间的关系。文献显示,谷歌搜索是投资者关注的信号,而谷歌趋势已被证明可用于预测经济和金融指标。我们旨在发现自 2015 年以来谷歌趋势对比特币和以太坊价格、交易量和市值的影响,并讨论这些指标与谷歌搜索兴趣之间可能存在的潜在相关性和模式。通过相关性和时间序列分析,我们深入了解了这种关系的动态及其对理解加密货币市场行为的影响。谷歌趋势追踪的加密货币兴趣是衡量社会对加密货币市场兴趣的一个很好的指标,这种兴趣推动了价格的变动。另一方面,比特币和以太坊的价格波动会引起媒体和社会的关注,增加人们对这些加密货币的兴趣。我们还观察到谷歌趋势值对交易量的积极影响。这些发现可以帮助投资者了解加密货币的动态,并制定自己的交易策略。
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
20
审稿时长
30 weeks
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