COVID-19 and cryptocurrency market: Evidence from quantile connectedness

被引:53
作者
Naeem, Muhammad Abubakr [1 ]
Qureshi, Saba [2 ]
Rehman, Mobeen Ur [3 ]
Balli, Faruk [4 ,5 ]
机构
[1] Univ Coll Dublin, Smurfit Grad Sch Business, Dublin, Ireland
[2] Univ Sindh, Inst Business Adm, Jamshoro, Sindh, Pakistan
[3] Shaheed Zulfikar Ali Bhutto Inst Sci & Technol SZ, Islamabad, Pakistan
[4] Massey Univ, Sch Econ & Finance, Palmerston North, New Zealand
[5] Al Farabi Kazakh Natl Univ, Alma Ata, Kazakhstan
基金
爱尔兰科学基金会;
关键词
COVID-19; cryptocurrency market; extreme return spillovers; quantile connectedness; IMPULSE-RESPONSE ANALYSIS; VOLATILITY SPILLOVER; PRECIOUS METALS; BITCOIN; FREQUENCY; TRANSMISSION; UNCERTAINTY; RISK; INTEGRATION; ATTENTION;
D O I
10.1080/00036846.2021.1950908
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study quantifies the spillover effects among seven cryptocurrencies to explore the spillover characteristics of seven cryptocurrencies, namely, Bitcoin, Ethereum, Ripple, Litecoin, Monero, Stellar, and NEM. The connectedness networks of returns are based on standard VAR and quantile VAR spillovers. In addition, the framework focuses on intact, pre-, and post-COVID-19 crisis sub-sample periods. Our results highlight that Bitcoin, Litecoin, and Ripple are the dominant transmitters to return spillover. The strongest interconnection is found for Bitcoin/Litecoin and Ripple/Sellar pair. Interestingly, Ethereum is the unvarying recipient in the system and is influenced by most of the cryptocurrencies. Further, NEM exhibits no connection with any of the cryptocurrency in the network acting as a potential diversifier. The quantile spillovers suggest increased intensity of connectedness at right and left tails. The sub-sample analysis confirms the low network integration across the cryptocurrencies during pre-COVID period. Finally, the post-COVID period indicates tangled clusters across the cryptocurrencies. The analysis provides contrasting results as obtained in the pre-analysis phase. Implications for investors and policymakers are highlighted in the study.
引用
收藏
页码:280 / 306
页数:27
相关论文
共 84 条
  • [61] Dynamic interdependence of cryptocurrency markets: An analysis across time and frequency
    Qureshi, Saba
    Aftab, Muhammad
    Bouri, Elie
    Saeed, Tareq
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 559
  • [62] A time-frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets
    Rehman, Mobeen Ur
    Kang, Sang Hoon
    [J]. GLOBAL FINANCE JOURNAL, 2021, 49
  • [63] Do bitcoin and precious metals do any good together? An extreme dependence and risk spillover analysis
    Rehman, Mobeen Ur
    [J]. RESOURCES POLICY, 2020, 68
  • [64] Cryptocurrencies and precious metals: A closer look from diversification perspective
    Rehman, Mobeen Ur
    Xuan Vinh Vo
    [J]. RESOURCES POLICY, 2020, 66
  • [65] Determining the predictive power between cryptocurrencies and real time commodity futures: Evidence from quantile causality tests
    Rehman, Mobeen Ur
    Apergis, Nicholas
    [J]. RESOURCES POLICY, 2019, 61 : 603 - 616
  • [66] Saker Lance., 2004, TDRSTRSEBST042
  • [67] Shahzad S.J.H., 2020, FINANC RES LETT
  • [68] Extreme tail network analysis of cryptocurrencies and trading strategies
    Shahzad, Syed Jawad Hussain
    Bouri, Elie
    Ahmad, Tanveer
    Naeem, Muhammad Abubakr
    [J]. FINANCE RESEARCH LETTERS, 2022, 44
  • [69] Impact of the COVID-19 outbreak on the US equity sectors: Evidence from quantile return spillovers
    Shahzad, Syed Jawad Hussain
    Bouri, Elie
    Kristoufek, Ladislav
    Saeed, Tareq
    [J]. FINANCIAL INNOVATION, 2021, 7 (01)
  • [70] Regime specific spillover across cryptocurrencies and the role of COVID-19
    Shahzad, Syed Jawad Hussain
    Bouri, Elie
    Kang, Sang Hoon
    Saeed, Tareq
    [J]. FINANCIAL INNOVATION, 2021, 7 (01)