Dynamic connectedness and integration in cryptocurrency markets

被引:387
|
作者
Ji, Qiang [1 ,2 ]
Bouri, Elie [3 ]
Lau, Chi Keung Marco [4 ]
Roubaud, David [5 ]
机构
[1] Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Sci & Dev, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China
[3] Holy Spirit Univ Kaslik, USEK Business Sch, Jounieh, Lebanon
[4] Univ Huddersfield, Huddersfield Business Sch, Dept Accountancy Finance & Econ, Huddersfield, W Yorkshire, England
[5] Montpellier Business Sch, Energy & Sustainable Dev, Montpellier, France
基金
中国国家自然科学基金;
关键词
Cryptocurrencies; Market integration; Return and volatility connectedness networks; Asymmetric spillover; IMPULSE-RESPONSE ANALYSIS; ASYMMETRIC CONNECTEDNESS; NETWORK TOPOLOGY; BITCOIN RETURNS; GOOD VOLATILITY; CRUDE-OIL; SPILLOVERS; COMMODITY; PREDICT; PRICES;
D O I
10.1016/j.irfa.2018.12.002
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016) to examine connectedness via return and volatility spillovers across six large cryptocurrencies from August 7, 2015 to February 22, 2018. Regardless of the sign of returns, the results show that Litecoin and Bitcoin are at the centre of the connected network of returns. This finding implies that return shocks arising from these two cryptocurrencies have the most effect on other cryptocurrencies. Further analysis shows that connectedness via negative returns is largely stronger than via positive ones. Ripple and Ethereum are the top recipients of negative-return shocks, whereas Ethereum and Dash exhibit very weak connectedness via positive returns. Regarding volatility spillovers, Bitcoin is the most influential, followed by Litecoin; Dash exhibits a very weak connectedness, suggesting its utility for hedging and diversification opportunities in the cryptocurrency market. Taken together, results imply that the importance of each cryptocurrency in return and volatility connectedness is not necessarily related to its market size. Further analyses reveal that trading volume and global financial and uncertainty effects as well as the investment-substitution effect are determinants of net directional spillovers. Interestingly, higher gold prices and US uncertainty increase the net directional negative-return spillovers, whereas they do the opposite for net directional positive-return spillovers. Furthermore, gold prices exhibit a negative sign for net directional-volatility spillovers, whereas US uncertainty shows a positive sign. Economic actors interested in the cryptocurrency market can build on our findings when weighing their decisions.
引用
收藏
页码:257 / 272
页数:16
相关论文
共 50 条
  • [21] Dynamic connectedness in non-ferrous commodity markets: Evidence from India using TVP-VAR and DCC-GARCH approaches
    Mishra, Aswini Kumar
    Ghate, Kshitish
    RESOURCES POLICY, 2022, 76
  • [22] Agricultural commodity markets and oil prices: An analysis of the dynamic return and volatility connectedness
    Umar, Zaghum
    Jareno, Francisco
    Escribano, Ana
    RESOURCES POLICY, 2021, 73
  • [23] High frequency volatility co-movements in cryptocurrency markets
    Katsiampa, Paraskevi
    Corbet, Shaen
    Lucey, Brian
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2019, 62 : 35 - 52
  • [24] Global financial crisis and rising connectedness in the international commodity markets
    Zhang, Dayong
    Broadstock, David C.
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 68
  • [25] Analyzing Dynamic Connectedness in Korean Housing Markets
    Hwang, So Jung
    Suh, Hyunduk
    EMERGING MARKETS FINANCE AND TRADE, 2021, 57 (02) : 591 - 609
  • [26] Volatility and returns connectedness in cryptocurrency markets: Insights from graph-based methods
    Nguyen, An Pham Ngoc
    Mai, Tai Tan
    Bezbradica, Marija
    Crane, Martin
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 632
  • [27] Liquidity connectedness in cryptocurrency market
    Mudassar Hasan
    Muhammad Abubakr Naeem
    Muhammad Arif
    Syed Jawad Hussain Shahzad
    Xuan Vinh Vo
    Financial Innovation, 8
  • [28] Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges
    Wang, Peijin
    Zhang, Hongwei
    Yang, Cai
    Guo, Yaoqi
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2021, 58
  • [29] Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest
    Antonakakis, Nikolaos
    Chatziantoniou, Ioannis
    Filis, George
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2017, 50 : 1 - 26
  • [30] Dynamic spillovers and connectedness between crude oil and green bond markets
    Yousaf, Imran
    Mensi, Walid
    Vo, Xuan Vinh
    Kang, Sang Hoon
    RESOURCES POLICY, 2024, 89