Herd behavior in cryptocurrency market: evidence of network effect

IF 1.9 Q2 BUSINESS, FINANCE Review of Behavioral Finance Pub Date : 2023-10-10 DOI:10.1108/rbf-03-2023-0079
Phasin Wanidwaranan, Santi Termprasertsakul
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Abstract

Purpose This study examines herd behavior in the cryptocurrency market at the aggregate level and the determinants of herd behavior, such as asymmetric market returns, the coronavirus disease 2019 (COVID-19) pandemic, 2021 cryptocurrency's bear market and the network effect. Design/methodology/approach The authors applied the Google Search Volume Index (GSVI) as a proxy for the network effect. Since investors who are interested in a particular issue have a common interest, they tend to perform searches using the same keywords in Google and are on the same network. The authors also investigated the daily returns of cryptocurrencies, which are in the top 100 market capitalizations from 2017 to 2022. The authors also examine the association between return dispersion and portfolio return based on aggregate market herding model and employ interactions between herding determinants such as, market direction, market trend, COVID-19 and network effect. Findings The empirical results indicate that herding behavior in the cryptocurrency market is significantly captured when the market returns of cryptocurrency tend to decline and when the network effect of investors tends to expand (e.g. such as during the COVID-19 pandemic or 2021 Bitcoin crash). However, the results confirm anti-herd behavior in cryptocurrency during the COVID-19 pandemic or 2021 Bitcoin crash, regardless of the network effect. Practical implications These findings help investors in the cryptocurrency market make more rational decisions based on their determinants since cryptocurrency is an alternative investment for investors' asset allocation. As imitating trades lead to return comovement, herd behavior in the cryptocurrency has a direct impact on the effectiveness of portfolio diversification. Hence, market participants or investors should consider herd behavior and its underlying factors to fully maximize the benefits of asset allocation, especially during the period of market uncertainty. Originality/value Most previous studies have focused on herd behavior in the stock market. Although some researchers have recently begun studying herd behavior in the cryptocurrency market, the empirical results are inconclusive due to an incorrectly specified model or unclear determinants.
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加密货币市场中的从众行为:网络效应的证据
本研究从总体层面考察了加密货币市场中的羊群行为,以及羊群行为的决定因素,如市场收益不对称、2019冠状病毒病(COVID-19)大流行、2021年加密货币熊市和网络效应。设计/方法/方法作者应用谷歌搜索量指数(GSVI)作为网络效应的代理。由于对某一特定问题感兴趣的投资者有共同的兴趣,他们倾向于在谷歌上使用相同的关键词进行搜索,并且在同一个网络上。作者还调查了加密货币的每日回报,这些货币在2017年至2022年的前100名市值中。基于总市场羊群模型,研究了收益离散度与投资组合收益之间的关系,并利用市场方向、市场趋势、新冠肺炎和网络效应等羊群决定因素之间的相互作用。实证结果表明,当加密货币的市场回报趋于下降,投资者的网络效应趋于扩大时(例如在2019冠状病毒病大流行或2021年比特币崩盘期间),加密货币市场的羊群行为会被显著捕捉到。然而,研究结果证实,在2019冠状病毒病大流行或2021年比特币崩盘期间,无论网络效应如何,加密货币都存在反羊群行为。这些发现有助于加密货币市场的投资者根据其决定因素做出更理性的决策,因为加密货币是投资者资产配置的一种替代投资。由于模仿交易导致收益趋同,加密货币中的羊群行为直接影响投资组合多样化的有效性。因此,市场参与者或投资者应考虑羊群行为及其潜在因素,以充分实现资产配置效益最大化,特别是在市场不确定时期。大多数先前的研究集中在股票市场的羊群行为上。尽管一些研究人员最近开始研究加密货币市场中的羊群行为,但由于模型指定不正确或决定因素不明确,实证结果尚无定论。
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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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