Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic

被引:24
作者
Al-Shboul, Mohammad [1 ]
Assaf, Ata [2 ,3 ]
Mokni, Khaled [4 ]
机构
[1] Univ Sharjah, Sch Business Adm, Dept Finance & Econ, Sharjah, U Arab Emirates
[2] Univ Balamand, Fac Business & Management, POB 100, Tripoli, Lebanon
[3] Cyprus Int Inst Management CIIM, POB 20378, CY-2151 Nicosia, Cyprus
[4] Univ Gabes, Higher Inst Management Gabes, Gabes 6002, Tunisia
关键词
Economic policy uncertainty; Dynamic spillover; Traditional currencies; TVP-VAR; Cryptocurrency; COVID-19; VOLATILITY SPILLOVERS; BITCOIN RETURNS; STOCK MARKETS; CO-MOVEMENTS; TIME-SERIES; CONNECTEDNESS; CAUSALITY; PREDICT; DOLLAR; GARCH;
D O I
10.1016/j.ribaf.2022.101824
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The paper examines the dynamic spillover among traditional currencies and cryptocurrencies before and during the COVID-19 pandemic and investigates whether economic policy uncertainty (EPU) impacts this spillover. Based on the TVP-VAR approach, we find evidence of spillover ef-fects among currencies, which increased widely during the pandemic. In addition, results suggest that almost all cryptocurrencies remain as "safe-haven" tools against market uncertainty during the COVID-19 period. Moreover, comparative analysis shows that the total connectedness for cryptocurrencies is lower than for traditional currencies during the crisis. Further analysis using quantile regression suggests that EPU exerts an impact on the total and the net spillovers with different degrees across currencies and this impact is affected by the health crisis. Our findings have important policy implications for policymakers, investors, and international traders.
引用
收藏
页数:27
相关论文
共 94 条
[1]   Economic policy uncertainty and exchange rates in emerging markets: Short and long runs evidence [J].
Abid, Abir .
FINANCE RESEARCH LETTERS, 2020, 37
[2]   When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic [J].
Al-Shboul, Mohammad ;
Assaf, Ata ;
Mokni, Khaled .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2022, 83
[3]   Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility [J].
Alam, Samsul ;
Shahzad, Syed Jawad Hussain ;
Ferrer, Roman .
ENERGY ECONOMICS, 2019, 84
[4]   Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities [J].
Andrada-Felix, Julian ;
Fernandez-Perez, Adrian ;
Sosvilla-Rivero, Simon .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2020, 67
[5]  
Antonakakis N., 2017, Refined measures of dynamic connectedness based on TVP-VAR
[6]   Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions [J].
Antonakakis, Nikolaos ;
Chatziantoniou, Ioannis ;
Gabauer, David .
JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2020, 13 (04)
[7]   Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios [J].
Antonakakis, Nikolaos ;
Chatziantoniou, Ioannis ;
Gabauer, David .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2019, 61 :37-51
[8]   Dynamic spillovers between commodity and currency markets [J].
Antonakakis, Nikolaos ;
Kizys, Renatas .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2015, 41 :303-319
[9]   Exchange return co-movements and volatility spillovers before and after the introduction of euro [J].
Antonakakis, Nikolaos .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2012, 22 (05) :1091-1109
[10]   Economic policy uncertainty and stock markets: Long-run evidence from the US [J].
Arouri, Mohamed ;
Estay, Christophe ;
Rault, Christophe ;
Roubaud, David .
FINANCE RESEARCH LETTERS, 2016, 18 :136-141