Cryptocurrency markets, macroeconomic news announcements and energy consumption

被引:4
作者
Ben Omrane, Walid [1 ]
Qi, Qianru [2 ]
Saadi, Samir [3 ,4 ]
机构
[1] Brock Univ, Goodman Sch Business, St Catharines, ON, Canada
[2] Univ Ottawa, Telfer Sch Management, Ottawa, ON, Canada
[3] Paris Sch Business, Paris, France
[4] Gulf Univ Sci & Technol, Coll Business Adm, Gulf Financial Ctr, Hawally, Kuwait
关键词
Energy consumption; Cryptocurrencies; Macroeconomic news; Trading volume; Bitcoin; Ethereum; High-frequency data; CARBON FOOTPRINT; BITCOIN; INEFFICIENCY; VOLATILITY; DOLLAR; IMPACT;
D O I
10.1007/s10479-023-05500-5
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Motivated by recent evidence showing that shocks in cryptocurrencies' trade volume increase their energy consumption and carbon footprint, this study seeks to identify the news-based determinants of the volume and number of trades of Bitcoin and Ethereum. Specifically, we investigate how the trading volume and number of trades in Bitcoin and Ethereum react to the release of U.S., German and Japanese macroeconomic news. Using 5-min frequency Bitcoin and Ethereum prices quoted against the US dollar, we find that the volume and number of trades show a significant response to macroeconomic releases. Furthermore, both the volume and number of trades in Bitcoin and Ethereum react to the same U.S. macroeconomic news, such as the Consumer Confidence Index, new home sales, and FOMC rate decisions. Our findings suggest that macroeconomic news can contribute to major cryptocurrencies' increased energy consumption and carbon footprint.
引用
收藏
页码:743 / 760
页数:18
相关论文
共 51 条
[1]   Prediction of cryptocurrency returns using machine learning [J].
Akyildirim, Erdinc ;
Goncu, Ahmet ;
Sensoy, Ahmet .
ANNALS OF OPERATIONS RESEARCH, 2021, 297 (1-2) :3-36
[2]   Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets [J].
Al-Yahyaee, Khamis Hamed ;
Mensi, Walid ;
Yoon, Seong-Min .
FINANCE RESEARCH LETTERS, 2018, 27 :228-234
[3]   Micro effects of macro announcements: Real-time price discovery in foreign exchange [J].
Andersen, TG ;
Bollerslev, T ;
Diebold, FX ;
Vega, C .
AMERICAN ECONOMIC REVIEW, 2003, 93 (01) :38-62
[4]   Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatility [J].
Andersen, Torben G. ;
Bollerslev, Tim ;
Diebold, Francis X. .
REVIEW OF ECONOMICS AND STATISTICS, 2007, 89 (04) :701-720
[5]   Macroeconomic news, public communications, and foreign exchange jumps around US and European financial crises [J].
Ayadi, Mohamed A. ;
Ben Omrane, Walid ;
Wang, Jiahui ;
Welch, Robert .
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2020, 25 (02) :197-227
[6]   The Economic and Environmental Impact of Bitcoin [J].
Badea, Liana ;
Mungiu-Pupazan, Mariana Claudia .
IEEE ACCESS, 2021, 9 :48091-48104
[7]   Separating microstructure noise from volatility [J].
Bandi, FM ;
Russell, JR .
JOURNAL OF FINANCIAL ECONOMICS, 2006, 79 (03) :655-692
[8]   The high-frequency impact of macroeconomic news on jumps and co-jumps in the cryptocurrency markets [J].
Ben Omrane, Walid ;
Guesmi, Khaled ;
Qi Qianru ;
Saadi, Samir .
ANNALS OF OPERATIONS RESEARCH, 2023, 330 (1-2) :177-209
[9]   Exchange rate volatility response to macroeconomic news during the global financial crisis [J].
Ben Omrane, Walid ;
Savaser, Tanseli .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2017, 52 :130-143
[10]   The sign switch effect of macroeconomic news in foreign exchange markets. [J].
Ben Omrane, Walid ;
Savaser, Tanseli .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2016, 45 :96-114