投资者的贪婪和恐惧对加密货币收益的影响:比特币和以太坊的格兰杰因果关系分析

IF 1.9 Q2 BUSINESS, FINANCE Review of Behavioral Finance Pub Date : 2024-04-11 DOI:10.1108/rbf-08-2023-0224
Everton Anger Cavalheiro, Kelmara Mendes Vieira, Pascal Silas Thue
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引用次数: 0

摘要

目的 本研究探讨了投资者情绪与加密货币比特币和以太坊回报率之间的心理相互作用。作者采用格兰杰因果检验法,旨在衡量恐惧与贪婪指数(FGI)能在多大程度上预测加密货币的回报率走势,探索投资者情绪与市场行为之间错综复杂的联系。作者超越了传统的线性分析,应用平滑量子回归,仔细研究了比特币和以太坊从 2022 年 7 月到 2023 年 6 月的每周数据。研究重点是确定投资者情绪指标 FGI 是否能预测加密货币回报率的变化。研究结果研究结果强调了加密货币市场中深刻的心理动摇。FGI 显著预测了比特币和以太坊的收益,凸显了投资者情绪与市场行为之间的持久联系。研究发现,FGI 和加密货币回报率之间存在一个有趣的反馈回路,凸显了情绪在塑造市场动态方面的持久作用。虽然在特定滞后期观察到了情绪与回报之间的关联,但非线性格兰杰因果检验在统计上并不支持非线性因果关系。这表明线性相互作用主要支配着变量关系。协整检验强调了比特币、以太坊和 FGI 的回报率之间长期稳定、持久的联系。尽管见解很有价值,但关键是要承认我们的非线性分析对方法选择的敏感性。时间序列数据和所选时间框架的具体情况可能会影响结果。此外,我们没有对宏观经济和地缘政治因素进行直接探讨,这为未来的研究提供了机会。其意义在于突出了投资者情绪在塑造加密货币市场行为中的关键作用。它强调了在高度动荡、动态的市场环境中做出投资决策时考虑这一因素的重要性。
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The impact of investor greed and fear on cryptocurrency returns: a Granger causality analysis of Bitcoin and Ethereum

Purpose

This study probes the psychological interplay between investor sentiment and the returns of cryptocurrencies Bitcoin and Ethereum. Employing the Granger causality test, the authors aim to gauge how extensively the Fear and Greed Index (FGI) can predict cryptocurrency return movements, exploring the intricate bond between investor emotions and market behavior.

Design/methodology/approach

The authors used the Granger causality test to achieve research objectives. Going beyond conventional linear analysis, the authors applied Smooth Quantile Regression, scrutinizing weekly data from July 2022 to June 2023 for Bitcoin and Ethereum. The study focus was to determine if the FGI, an indicator of investor sentiment, predicts shifts in cryptocurrency returns.

Findings

The study findings underscore the profound psychological sway within cryptocurrency markets. The FGI notably predicts the returns of Bitcoin and Ethereum, underscoring the lasting connection between investor emotions and market behavior. An intriguing feedback loop between the FGI and cryptocurrency returns was identified, accentuating emotions' persistent role in shaping market dynamics. While associations between sentiment and returns were observed at specific lag periods, the nonlinear Granger causality test didn't statistically support nonlinear causality. This suggests linear interactions predominantly govern variable relationships. Cointegration tests highlighted a stable, enduring link between the returns of Bitcoin, Ethereum and the FGI over the long term.

Practical implications

Despite valuable insights, it's crucial to acknowledge our nonlinear analysis's sensitivity to methodological choices. Specifics of time series data and the chosen time frame may have influenced outcomes. Additionally, direct exploration of macroeconomic and geopolitical factors was absent, signaling opportunities for future research.

Originality/value

This study enriches theoretical understanding by illuminating causal dynamics between investor sentiment and cryptocurrency returns. Its significance lies in spotlighting the pivotal role of investor sentiment in shaping cryptocurrency market behavior. It emphasizes the importance of considering this factor when navigating investment decisions in a highly volatile, dynamic market environment.

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来源期刊
Review of Behavioral Finance
Review of Behavioral Finance BUSINESS, FINANCE-
CiteScore
4.70
自引率
5.00%
发文量
44
期刊介绍: Review of Behavioral Finance publishes high quality original peer-reviewed articles in the area of behavioural finance. The RBF focus is on Behavioural Finance but with a very broad lens looking at how the behavioural attributes of the decision makers influence the financial structure of a company, investors’ portfolios, and the functioning of financial markets. High quality empirical, experimental and/or theoretical research articles as well as well executed literature review articles are considered for publication in the journal.
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