On the efficiency and its drivers in the cryptocurrency market: the case of Bitcoin and Ethereum

被引:6
|
作者
Mokni, Khaled [1 ]
El Montasser, Ghassen [2 ]
Ajmi, Ahdi Noomen [3 ,4 ]
Bouri, Elie [5 ]
机构
[1] Univ Sousse, Higher Inst Transport & Logist Sousse, Sousse, Tunisia
[2] Univ Manouba, ESCT Business Sch Tunis, Manouba, Tunisia
[3] Prince Sattam Bin Abdulaziz Univ, Coll Sci & Humanities Slayel, Dept Business Adm, Al Kharj, Saudi Arabia
[4] Manouba Univ, ESC Tunis, Manouba, Tunisia
[5] Lebanese Amer Univ, Sch Business, Beirut, Lebanon
关键词
Bitcoin; Ethereum; Time-varying efficiency; AMIMs; Quantile regression; Drivers of efficiency; C58; G14; ADAPTIVE MARKET; TIME-SERIES; STOCK; INEFFICIENCY; HYPOTHESIS; LIQUIDITY; MEMORY; (IN)EFFICIENCY; INFORMATION; PERSISTENCE;
D O I
10.1186/s40854-023-00566-3
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Most previous studies on the market efficiency of cryptocurrencies consider time evolution but do not provide insights into the potential driving factors. This study addresses this limitation by examining the time-varying efficiency of the two largest cryptocurrencies, Bitcoin and Ethereum, and the factors that drive efficiency. It uses daily data from August 7, 2016, to February 15, 2023, the adjusted market inefficiency magnitude (AMIMs) measure, and quantile regression. The results show evidence of time variation in the levels of market (in)efficiency for Bitcoin and Ethereum. Interestingly, the quantile regressions indicate that global financial stress negatively affects the AMIMs measures across all quantiles. Notably, cryptocurrency liquidity positively and significantly affects AMIMs irrespective of the level of (in) efficiency, whereas the positive effect of money flow is significant when the markets of both cryptocurrencies are efficient. Finally, the COVID-19 pandemic positively and significantly affected cryptocurrency market inefficiencies across most quantiles.
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收藏
页数:25
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