Market Efficiency and Volatility Spillover in Bitcoin and Ethereum Prices: Comparisons during the Pre-COVID-19 Period and COVID-19 Pandemic
Y. Garcia, Joshua V Tolentino
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引用次数: 0
Abstract
Purpose – This study attempts to establish if the markets for the two most popular cryptocurrencies in the world, Bitcoin and Ethereum, follow weak-form market efficiency across various landmarks in time. Design/Methodology/Approach – Traditional testing for establishing weak-form market efficiency rests on whether the price series exhibits a random walk process, which implies that future prices cannot be predicted. However, not all random walk series automatically imply weak-form market efficiency, since some asset price behaviors may exhibit non-constant variance. In such cases, the GARCH model can be used to test for the presence of market efficiency. Since structural breaks in the prices of both cryptocurrencies are common, tests for market efficiency were carried out using sub-temporal price windows. In both price series, the last time window coincided with the 2020 COVID-19 pandemic period. Findings – Results of the GARCH analyses showed that the volatility and persistence parameters (α and β, respectively) in the Bitcoin and Ethereum models were all statistically significant, implying that prices in their sub-temporal markets were generally weak-form inefficient. The observed market inefficiency in both cryptocurrencies can be attributed to various factors like the price manipulation of crypto whales, security issues, and increased media attention, which led to inflows of information that helped big investors beat and gain from the market by successfully predicting the trend in future prices. During the 2020 COVID-19 pandemic period, both cryptocurrencies’ prices were observed to rise significantly, similar to the case of the 2017 Bitcoin price bubble. A cointegrating regression between Bitcoin and Ethereum prices during this period, however, showed a spurious relationship. Despite the absence of a long run relationship between these two price series, the current price bubbles in the cryptocurrency markets are speculated to be tied together. Research Implications – Players in the cryptocurrency market must always be cautious in making investment decisions regarding this type of asset since the markets are generally price inefficient and risky;any idiosyncratic decision that may be triggered by a price bubble burst in one cryptocurrency market may or may not serve as a signal that the other market will do the same. Since the Bitcoin and Ethereum prices were shown to exhibit volatility spillover and persistence, investors can use this information to make informed decisions as to whether to invest in these cryptocurrencies despite the huge risks that are magnified during the COVID-19 pandemic. © 2021 International Academy of Global Business and Trade. All rights reserved.
比特币和以太坊价格的市场效率和波动溢出:COVID-19前和COVID-19大流行期间的比较
目的:本研究试图确定世界上最流行的两种加密货币——比特币和以太坊——的市场是否在不同的时间点上遵循弱形式的市场效率。设计/方法/方法-建立弱形式市场效率的传统测试取决于价格序列是否表现出随机游走过程,这意味着未来的价格无法预测。然而,并非所有随机漫步序列都自动意味着弱形式的市场效率,因为某些资产价格行为可能表现出非恒定方差。在这种情况下,GARCH模型可以用来检验市场效率的存在。由于两种加密货币价格的结构性突破很常见,因此使用次时间价格窗口进行了市场效率测试。在这两个价格序列中,最后一个时间窗口与2020年COVID-19大流行期间重合。GARCH分析的结果表明,比特币和以太坊模型中的波动性和持久性参数(分别为α和β)在统计上都是显著的,这意味着它们的次时间市场的价格通常是弱形式低效的。观察到的两种加密货币的市场效率低下可归因于各种因素,如加密鲸鱼的价格操纵,安全问题和媒体关注的增加,这导致信息流入,帮助大投资者通过成功预测未来价格的趋势而击败并从市场中获利。在2020年COVID-19大流行期间,两种加密货币的价格都出现了大幅上涨,类似于2017年比特币价格泡沫的情况。然而,在此期间,比特币和以太坊价格之间的协整回归显示出一种虚假的关系。尽管这两个价格序列之间没有长期关系,但据推测,加密货币市场当前的价格泡沫是联系在一起的。研究意义——加密货币市场的参与者在对这类资产做出投资决策时必须始终保持谨慎,因为市场通常是价格低效和有风险的;任何可能由一个加密货币市场的价格泡沫破裂引发的特殊决定,可能会也可能不会成为另一个市场也会这样做的信号。由于比特币和以太坊的价格表现出波动溢出性和持久性,投资者可以利用这些信息做出明智的决定,决定是否投资这些加密货币,尽管在COVID-19大流行期间风险被放大了。©2021全球商业与贸易国际学院。版权所有。
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