Time-varying nexus and causality in the quantile between Google investor sentiment and cryptocurrency returns

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Fatma Ben Hamadou, Taicir Mezghani, Mouna Boujelbène Abbes
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引用次数: 0

Abstract

Understanding the interplay between investor sentiment and cryptocurrency returns has become a critical area of research. Indeed, this study aims to uncover the role of Google investor sentiment on cryptocurrency returns (including Bitcoin, Litecoin, Ethereum, and Tether), especially during the 2017–18 bubble (January 01, 2017, to December 31, 2018) and the COVID-19 pandemic (January 01, 2020, to March 15, 2022). To achieve this, we use two techniques: quantile causality and wavelet coherence. First, the quantile causality test revealed that investors’ optimistic sentiments have notably higher cryptocurrency returns, whereas pessimistic sentiments have significantly opposite effects. Moreover, the wavelet coherence analysis shows that co-movement between investor sentiment and Tether cannot be considered significant. This result supports the role of Tether as a stablecoin in portfolio diversification strategies. In fact, the findings will help investors improve the accuracy of cryptocurrency return forecasts in times of stressful events and pave the way for enhanced decision-making utility.

谷歌投资者情绪与加密货币回报率之间的时变联系和因果关系
了解投资者情绪与加密货币回报之间的相互作用已成为一个重要的研究领域。事实上,本研究旨在揭示谷歌投资者情绪对加密货币(包括比特币、莱特币、以太坊和 Tether)回报的作用,尤其是在 2017-18 年泡沫(2017 年 1 月 1 日至 2018 年 12 月 31 日)和 COVID-19 大流行(2020 年 1 月 1 日至 2022 年 3 月 15 日)期间。为此,我们使用了两种技术:量子因果关系和小波相干性。首先,量子因果检验表明,投资者的乐观情绪会显著提高加密货币的收益,而悲观情绪则会产生明显相反的影响。此外,小波相干性分析表明,投资者情绪与 Tether 之间的共同运动并不显著。这一结果支持了 Tether 作为稳定币在投资组合多样化策略中的作用。事实上,这些发现将帮助投资者提高在压力事件发生时对加密货币回报率预测的准确性,并为增强决策效用铺平道路。
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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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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