Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties

被引:151
作者
Elsayed, Ahmed H. [1 ]
Gozgor, Giray [2 ]
Lau, Chi Keung Marco [3 ]
机构
[1] Zagazig Univ, Univ Durham, Dept Econ & Finance, United Kingdom Dept Econ, Zagazig, Egypt
[2] Istanbul Medeniyet Univ, Fac Polit Sci, Istanbul, Turkey
[3] Hang Seng Univ Hong Kong, Dept Econ & Finance, Hong Kong, Peoples R China
关键词
Return connectedness; Risk transmissions; Bitcoin; Financial assets; Global uncertainty measures; SAFE HAVEN; DYNAMIC CONNECTEDNESS; VOLATILITY; CRYPTOCURRENCY; HEDGE; RETURNS; TIME; GOLD;
D O I
10.1016/j.irfa.2022.102069
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper examines return and volatility connectedness between Bitcoin, traditional financial assets (Crude Oil, Gold, Stocks, Bonds, and the United States Dollar-USD), and major global uncertainty measures (the Economic Policy Uncertainty-EPU, the Twitter-based Economic Uncertainty-TEU, and the Volatility Index-VIX) from April 29, 2013, to June 30, 2020. To this end, the Time-Varying Parameter Vector Autoregression (TVP-VAR) model, dynamic connectedness approaches, and network analyses are used. The results indicate that total spillover indices reached unprecedented levels during COVID-19 and have remained high since then. The evidence also confirms the high return and volatility spillovers across markets during the COVID-19 era. Regarding the return spillovers, Gold is the centre of the system and demonstrates the safe heaven properties. Bitcoin is a net transmitter of volatility spillovers to other markets, particularly during the COVID-19 period. Furthermore, the causality-in-variance Lagrange Multiplier (LM) and the Fourier LM tests' results confirm a unidirectional volatility transmission from Bitcoin to Gold, Stocks, Bonds, the VIX and Crude Oil. Interestingly the EPU is the only global factor that causes higher volatility in Bitcoin. Several potential implications of the results are also discussed.
引用
收藏
页数:12
相关论文
共 59 条
[1]  
Aktham M., 2021, N AM J ECON FINANC, V56
[2]  
[Anonymous], 2021, CoinDesk
[3]   International monetary policy spillovers: Evidence from a time-varying parameter vector autoregression [J].
Antonakakis, Nikolaos ;
Gabauer, David ;
Gupta, Rangan .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2019, 65
[4]   Dynamic connectedness of uncertainty across developed economies: A time-varying approach [J].
Antonakakis, Nikolaos ;
Gabauer, David ;
Gupta, Rangan ;
Plakandaras, Vasilios .
ECONOMICS LETTERS, 2018, 166 :63-75
[6]   Effects of the geopolitical risks on Bitcoin returns and volatility [J].
Aysan, Ahmet Faruk ;
Demir, Ender ;
Gozgor, Giray ;
Lau, Chi Keung Marco .
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2019, 47 :511-518
[7]  
Baker S.R., 2021, Twitter-derived measures of economic uncertainty
[8]   Measuring Economic Policy Uncertainty [J].
Baker, Scott R. ;
Bloom, Nicholas ;
Davis, Steven J. .
QUARTERLY JOURNAL OF ECONOMICS, 2016, 131 (04) :1593-1636
[9]   Herding behaviour in cryptocurrencies [J].
Bouri, Elie ;
Gupta, Rangan ;
Roubaud, David .
FINANCE RESEARCH LETTERS, 2019, 29 :216-221
[10]   Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions [J].
Bouri, Elie ;
Gupta, Rangan ;
Tiwari, Aviral Kumar ;
Roubaud, David .
FINANCE RESEARCH LETTERS, 2017, 23 :87-95