Interconnectedness of cryptocurrency markets: an intraday analysis of volatility spillovers based on realized volatility decomposition

被引:0
|
作者
Ben Ameur, Hachmi [1 ]
Ftiti, Zied [2 ]
Louhichi, Wael [3 ]
机构
[1] INSEEC Grande Ecole, OMNES Educ, Paris, France
[2] EDC Paris Business Sch, OCRE Res Lab, Paris, France
[3] ESSCA Sch Management, Paris, France
关键词
Diebold and Yilmaz; Jump; Co-jump; Continuous volatility; Contagion; COVID-19; crisis; IMPULSE-RESPONSE ANALYSIS; BITCOIN; JUMP; INEFFICIENCY; COMPONENTS;
D O I
10.1007/s10479-023-05757-w
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The cryptocurrency market has undergone significant turbulence, characterized by enormous volatility shifts, as recently experienced during the COVID-19 shock. Although there is an abundant literature dealing with various aspects of cryptocurrencies, little attention has been devoted to understanding the interconnectedness among different cryptocurrencies, particularly the role of abrupt changes. This paper aims to fill this gap by conducting an intraday analysis to assess the contagion hypothesis within the cryptocurrency markets, with particular focus on the aprubt changes and whether it is a driver of co-aprubt changes in other markets. Specfically, we investigate four major cryptocurrencies (Bitcoin, Ethereum, Ethereum Classic, and Ripple) both prior to and during the COVID-19 shock, April 2019 to September 2020. Using the Diebold and Yilmaz methodology, we decompose the realized volatility into continuous and jump components, and examine how these spillovers evolve across cryptocurrency markets before and during the COVID-19 crisis. Our findings reveal that while the volatility and returns spillovers across the cryptocurrency market escalate during the crisis, there is a notable decrease in the jumps and co-jumps between cryptocurrencies. This suggests that the heightened interdependency observed is not rooted in fundamental factors. Morever, our findings show that spillover is especially prominent in the continuous part of the realised volatility dynamic. Notably, XRP emerges as the predominant transmitter in the context of continuous part of the realized volatility. Our study contributes to the emerging literature on the interconnectedness of price movement/co-mouvement across cryptocurrencies, offers a novel adaptation of the Diebold and Yilmaz methodology to capture the unique features of cryptocurrency prices.
引用
收藏
页码:757 / 779
页数:23
相关论文
共 50 条
  • [1] Macroeconomic news and intraday seasonal volatility in the cryptocurrency markets
    Ben Omrane, Walid
    Houidi, Fatma
    Savaser, Tanseli
    APPLIED ECONOMICS, 2024, 56 (38) : 4594 - 4610
  • [2] Cryptocurrency Volatility Forecasting Using Commonality in Intraday Volatility
    Djanga, Emmanuel
    Zhang, Chao
    Cucuringu, Mihai
    SSRN, 2023,
  • [3] Cryptocurrency volatility forecasting using commonality in intraday volatility
    Djanga, Emmanuel
    Cucuringu, Mihai
    Zhang, Chao
    PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2023, 2023, : 436 - 444
  • [4] Cryptocurrency volatility markets
    Fabian Woebbeking
    Digital Finance, 2021, 3 (3-4): : 273 - 298
  • [5] A multiscale analysis of returns and volatility spillovers in cryptocurrency markets: A post-COVID perspective
    Phiri, Andrew
    Anyikwa, Izunna
    INVESTMENT ANALYSTS JOURNAL, 2025, 54 (01) : 21 - 41
  • [6] The realized volatility of commodity futures: Interconnectedness and determinants
    Bouri, Elie
    Lucey, Brian
    Saeed, Tareq
    Xuan Vinh Vo
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2021, 73 : 139 - 151
  • [7] Forecasting the Realized Volatility of Stock Markets: The Roles of Jumps and Asymmetric Spillovers
    Al Rababaa, Abdel Razzaq
    Mensi, Walid
    Mcmillan, David
    Kang, Sang Hoon
    JOURNAL OF FORECASTING, 2024,
  • [8] Volatility discovery in cryptocurrency markets
    Dimpfl, Thomas
    Elshiaty, Dalia
    JOURNAL OF RISK FINANCE, 2021, 22 (05) : 313 - 331
  • [9] TESTING INTRADAY VOLATILITY SPILLOVERS IN TURKISH CAPITAL MARKETS: EVIDENCE FROM ISE
    Okur, Mustafa
    Cevik, Emrah I.
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2013, 26 (03): : 99 - 116
  • [10] Quantile return and volatility spillovers and drivers among energy, electricity, and cryptocurrency markets
    Jiang, Dongming
    Jia, Fang
    Han, Xiaoyu
    ENERGY ECONOMICS, 2025, 144