COVID-19 Effects on the Relationship between Cryptocurrencies: Can It Be Contagion? Insights from Econophysics Approaches

被引:7
作者
Almeida, Dora [1 ]
Dionisio, Andreia [1 ]
Vieira, Isabel [1 ]
Ferreira, Paulo [1 ,2 ,3 ]
机构
[1] Univ Evora, Ctr Adv Studies Management & Econ, CEFAGE, IIFA, Largo Colegiais 2, P-7004516 Evora, Portugal
[2] VALORIZA, Res Ctr Endogenous Resource Valorizat, P-7300555 Portalegre, Portugal
[3] Polytech Inst Portalegre, Dept Econ Sci & Org, P-7300555 Portalegre, Portugal
关键词
contagion; cryptocurrencies; integration; mutual information; transfer entropy; INFORMATION; BITCOIN; MARKET; CONNECTEDNESS; INTEGRATION; INTERDEPENDENCE; ENTROPY; ASSETS; RETURN; RISK;
D O I
10.3390/e25010098
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Cryptocurrencies are relatively new and innovative financial assets. They are a topic of interest to investors and academics due to their distinctive features. Whether financial or not, extraordinary events are one of the biggest challenges facing financial markets. The onset of the COVID-19 pandemic crisis, considered by some authors a "black swan", is one of these events. In this study, we assess integration and contagion in the cryptocurrency market in the COVID-19 pandemic context, using two entropy-based measures: mutual information and transfer entropy. Both methodologies reveal that cryptocurrencies exhibit mixed levels of integration before and after the onset of the pandemic. Cryptocurrencies displaying higher integration before the event experienced a decline in such link after the world became aware of the first cases of pneumonia in Wuhan city. In what concerns contagion, mutual information provided evidence of its presence solely for the Huobi Token, and the transfer entropy analysis pointed out Tether and Huobi Token as its main source. As both analyses indicate no contagion from the pandemic turmoil to these financial assets, cryptocurrencies may be good investment options in case of real global shocks, such as the one provoked by the COVID-19 outbreak.
引用
收藏
页数:18
相关论文
共 82 条
[1]   Systemic risk-sharing framework of cryptocurrencies in the COVID-19 crisis [J].
Akhtaruzzaman, Md ;
Boubaker, Sabri ;
Nguyen, Duc Khuong ;
Rahman, Molla Ramizur .
FINANCE RESEARCH LETTERS, 2022, 47
[2]   On the efficiency of foreign exchange markets in times of the COVID-19 pandemic [J].
Aslam, Faheem ;
Aziz, Saqib ;
Duc Khuong Nguyen ;
Mughal, Khurrum S. ;
Khan, Maaz .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 161
[3]   Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19 [J].
Assaf, Ata ;
Charif, Husni ;
Demir, Ender .
FINANCE RESEARCH LETTERS, 2022, 47
[4]   A new approach to measuring financial contagion [J].
Bae, KH ;
Karolyi, GA ;
Stulz, RM .
REVIEW OF FINANCIAL STUDIES, 2003, 16 (03) :717-763
[5]   Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks [J].
Balcilar, Mehmet ;
Ozdemir, Huseyin ;
Agan, Busra .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 604
[6]  
Barin S., 2022, ENG SCI TECHNOL INT, V34, P101174, DOI 10.1089/genedge.2.1.54
[7]   WHERE DO WE STAND IN CRYPTOCURRENCIES ECONOMIC RESEARCH? A SURVEY BASED ON HYBRID ANALYSIS [J].
Bariviera, Aurelio F. ;
Merediz-Sola, Ignasi .
JOURNAL OF ECONOMIC SURVEYS, 2021, 35 (02) :377-407
[8]   Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables [J].
Barnett, Lionel ;
Barrett, Adam B. ;
Seth, Anil K. .
PHYSICAL REVIEW LETTERS, 2009, 103 (23)
[9]   RTransferEntropy - Quantifying information flow between different time series using effective transfer entropy [J].
Behrendt, Simon ;
Dimpfl, Thomas ;
Peter, Franziska J. ;
Zimmermann, David J. .
SOFTWAREX, 2019, 10
[10]   Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis [J].
Bouri, Elie ;
Shahzad, Syed Jawad Hussain ;
Roubaud, David ;
Kristoufek, Ladislav ;
Lucey, Brian .
QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2020, 77 :156-164