Are All Text News Just a Noise for Investors? Impact of Online Texts on Bitcoin Returns

Aleksandar Damjanović, Mikica Drenovak
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Abstract

Abstract The paper demonstrates the power of alternative data. Relying on the indicators obtained by mining online publicly available news articles, authors analyze their impact on Bitcoin returns. This research shows that in the first quarter of 2022 Bitcoin returns could be explained by the sentiment of information obtained from news published on online portals. However, we find negative relation between Bitcoin news sentiment and its returns. Such result can be explained as anomaly of researched period which is characterized by inception of global political crisis caused by the war in Eastern Europe and turmoil on crypto market. Our research also confirms that the news about Ethereum, Bitcoins’ investment substitute, affected Bitcoin's returns as well. On the other hand, the obtained results show that there is no relation between the lexical readability of the news (i.e., the clarity with which the text is written, measured by the fog index) and the returns on Bitcoin in the analyzed period. Collected evidences speak in favor of Bitcoin’s market inefficiency. In this paper we also demonstrate that returns forecasts based on online news are more accurate in comparison to those generated by ARMA-GARCH model, a conventional financial tool for predicting returns.
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所有的短信新闻对投资者来说都只是噪音吗?在线文本对比特币回报的影响
摘要本文论证了替代数据的力量。根据挖掘在线公开新闻文章获得的指标,作者分析了它们对比特币回报的影响。本研究表明,在2022年第一季度,比特币的回报可以用从门户网站发布的新闻中获得的信息情绪来解释。然而,我们发现比特币新闻情绪与其收益呈负相关。这一结果可以解释为研究时期的异常,其特征是东欧战争引起的全球政治危机的开始和加密市场的动荡。我们的研究还证实,有关比特币投资替代品以太坊的消息也影响了比特币的回报。另一方面,获得的结果表明,在分析期间,新闻的词汇可读性(即文本书写的清晰度,由雾指数衡量)与比特币回报之间没有关系。收集到的证据表明,比特币的市场效率低下。在本文中,我们还证明了基于在线新闻的回报预测比ARMA-GARCH模型(一种传统的预测回报的金融工具)产生的预测更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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