Studying the properties of the Bitcoin as a diversifying and hedging asset through a copula analysis: Constant and time-varying

被引:41
|
作者
Garcia-Jorcano, Laura [1 ]
Benito, Sonia [2 ]
机构
[1] Univ Castilla La Mancha, Fac Ciencias Jurid & Sociales, Dept Econ Anal & Finance, Cobertizo San Pedro Martir S-N, Toledo, Spain
[2] Univ Nacl Educ Distancia, Fac Econ & Business Adm, Dept Econ Anal, Senda Rey 11, Madrid 28040, Spain
关键词
Bitcoin; Diversifier; Hedge; Dependence; Copula; SAFE HAVEN; STOCK-MARKET; GOLD; VOLATILITY; DEPENDENCE; MODEL; CONTAGION; ORDER; CRYPTOCURRENCIES; SELECTION;
D O I
10.1016/j.ribaf.2020.101300
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this study, we analyze the properties of Bitcoin as a diversifier asset and hedge asset against the movement of international market stock indices: S&P500 (US), STOXX50 (EU), NIKKEI (Japan), CSI300 (Shanghai), and HSI (Hong Kong). For this, we use several copula models: Gaussian, Student-t, Clayton, Gumbel, and Frank. The analysis period runs from August 18, 2011 to June 31, 2019. We found that the Gaussian and Student-t copulas are best at fitting the structure dependence between markets. Also, these copulas suggest that under normal market conditions, Bitcoin might act as a hedge asset against the stock price movements of all international markets analyzed. However, the dependence on the Shanghai and Hong Kong markets was somewhat higher. Also, under extreme market conditions, the role of Bitcoin might change from hedge to diversifier. In a time-varying copula analysis, given by the Student-t copula, we found that even under normal market conditions, for some markets, the role of Bitcoin as a hedge asset might fail on a high number of days.
引用
收藏
页数:24
相关论文
共 18 条
  • [11] Dynamic functional connectivity analysis based on time-varying partial correlation with a copula-DCC-GARCH model
    Lee, Namgil
    Kim, Jong-Min
    NEUROSCIENCE RESEARCH, 2021, 169 : 27 - 39
  • [12] Analysis of the Correlation between Macro-economy and Stock Market Volatility Employed by Time-varying Copula and ICA
    Sun, C. Z.
    Yang, Y. W.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT SCIENCE (ITMS 2015), 2015, 34 : 1334 - 1339
  • [13] Safe navigation through waterways of time-varying depth based on reachability analysis
    Nadales, J. M.
    Munoz de la Pena, D.
    Limon, D.
    Alamo, T.
    2023 EUROPEAN CONTROL CONFERENCE, ECC, 2023,
  • [14] The pass-through effects of oil price shocks on China's inflation: A time-varying analysis
    Chen, Jinyu
    Zhu, Xuehong
    Li, Hailing
    ENERGY ECONOMICS, 2020, 86
  • [15] Time-varying co-movement analysis between COVID-19 shocks and the energy markets using the Markov Switching Dynamic Copula approach
    Maneejuk, Paravee
    Thongkairat, Sukrit
    Srichaikul, Wilawan
    ENERGY REPORTS, 2021, 7 : 81 - 88
  • [16] Theoretical Analysis of Flexural Time-Varying Properties of Aluminum Alloy-Reinforced RC Beam under Atmospheric Environment
    Xie, Kaizhong
    Qin, Yue
    KSCE JOURNAL OF CIVIL ENGINEERING, 2023, 27 (05) : 2089 - 2103
  • [17] Analysis of time-varying mechanical properties of prestressed concrete containment during the tensioning process and service considering the influence of creep
    Yang, Qingyu
    Yao, Di
    Yan, Jiachuan
    Liu, Mengsha
    Fan, Feng
    Fu, Zhizhong
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2023, 204
  • [18] Sector-by-sector analysis of dependence dynamics between global large-cap companies and infectious diseases: A time-varying copula approach in EBOV and COVID-19 episodes
    Asl, Mahdi Ghaemi
    Tavakkoli, Hamid Reza
    Rashidi, Muhammad Mahdi
    PLOS ONE, 2021, 16 (11):