Is Bitcoin an emerging market? A market efficiency perspective

IF 0.5 Q4 ECONOMICS
Mateusz Skwarek
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引用次数: 0

Abstract

Abstract Despite recent studies focused on comparing the dynamics of market efficiency between Bitcoin and other traditional assets, there is a lack of knowledge about whether Bitcoin and emerging markets efficiency behave similarly. This paper aims to compare the market efficiency dynamics between Bitcoin and the emerging stock markets. In particular, this study indicates whether the dynamics of Bitcoin market efficiency mimic those of emerging stock markets. Thus, the paper's contribution emerges from the combination of Bitcoin and emerging markets in the field of dynamics of market efficiency. The dynamics of market efficiency are measured using the Hurst exponent in the rolling window. The study uses daily data for the MSCI Emerging Markets Index and the Bitcoin market over the period 2011–2022. Our results show that there is at most a moderate correlation between the dynamics of Bitcoin and emerging stock markets’ efficiency over the entire study period. The strongest correlations occur mainly in periods of high economic policy uncertainty in the largest Bitcoin mining countries. Therefore, the association between Bitcoin market efficiency and emerging stock markets’ efficiency may strengthen with an increase in economic policy uncertainty. These findings may be useful for investors and portfolio managers in constructing better investment strategies.
比特币是新兴市场吗?市场效率视角
尽管最近的研究集中在比较比特币和其他传统资产之间的市场效率动态,但缺乏关于比特币和新兴市场效率是否相似的知识。本文旨在比较比特币和新兴股票市场之间的市场效率动态。特别是,这项研究表明,比特币市场效率的动态是否模仿新兴股票市场的动态。因此,本文的贡献来自于比特币与新兴市场在市场效率动力学领域的结合。利用赫斯特指数在滚动窗口中测量市场效率的动态。该研究使用了2011年至2022年期间MSCI新兴市场指数和比特币市场的每日数据。我们的研究结果表明,在整个研究期间,比特币的动态与新兴股票市场的效率之间最多存在适度的相关性。最强的相关性主要发生在最大的比特币开采国经济政策高度不确定的时期。因此,随着经济政策不确定性的增加,比特币市场效率与新兴股票市场效率之间的关联可能会加强。这些发现可能对投资者和投资组合经理构建更好的投资策略有用。
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
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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