Could stock hedge Bitcoin risk(s) and vice versa?

被引:5
作者
David Iheke Okorie
机构
[1] Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, N106, Economics Building (WISE&SOE), 422 South Siming Road, Xiamen
来源
Digital Finance | 2020年 / 2卷 / 1-2期
关键词
Bitcoin; D81; G12; G32; Hedging; R53; Return; Risk management; Stock; Volatility;
D O I
10.1007/s42521-019-00011-0
中图分类号
学科分类号
摘要
This paper is saddled with the task of investigating the Bitcoin market behavior in the presence of a government risk. This is because both the institutional and retail investors’ interests in the Bitcoin market are growing rapidly. Conversely, the seemingly unregulated nature of this market is a serious concern to most economies and results to the placement of ban on Initial Coin Offering (ICO) in some economies by the government. Daily series of return and volume within the window of the ICO ban in China was used for the Bitcoin market and S&P500 stock market to examine the effect of a government risk in the Bitcoin market and possible hedging capabilities. Empirical results show that the ban dampened Bitcoin returns and the returns from each market can predict the other. The Exogenous Dynamic Conditional Correlation (Exo-DCC) model result suggests that, yes! the S&P500 stocks are capable of hedging Bitcoin risk, while Bitcoin can also hedge S&P500 stocks’ risks and vice versa. The Exogenous BEKK (Exo-BEKK) model result shows evidence of bidirectional volatility spill over between the two markets studied. In practice, investors (institutions and retailers) can comfortably form a robust investment portfolio with (at least) these two assets and develop a hedging strategy, such that the impacts of risks on the portfolio’s returns are safely hedged. © Springer Nature Switzerland AG 2019. corrected publication 2019.
引用
收藏
页码:117 / 136
页数:19
相关论文
共 50 条
  • [21] The influence of Taiwan's stock market on Bitcoin's price under Taiwan's monetary policy threshold
    Yang, Lori Tzu Yi
    APPLIED ECONOMICS, 2020, 52 (45) : 4967 - 4975
  • [22] The Relationship between Stock Returns, Bitcoin Returns, and Risk Aversion: Evidence from a Multivariate GARCH Model
    Sivrikaya, Aysen
    Iren, Perihan
    Omay, Tolga
    SOSYOEKONOMI, 2021, 29 (47) : 107 - 118
  • [23] Connectedness and risk spillovers in China's stock market: A sectoral analysis
    Wu, Fei
    Zhang, Dayong
    Zhang, Zhiwei
    ECONOMIC SYSTEMS, 2019, 43 (3-4)
  • [24] Does bitcoin co-move and share risk with Sukuk and world and regional Islamic stock markets? Evidence using a time-frequency approach
    Mensi, Walid
    Rehman, Mobeen Ur
    Maitra, Debasish
    Al-Yahyaee, Khamis Hamed
    Sensoy, Ahmet
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2020, 53
  • [25] Bitcoin-based triangular arbitrage with the Euro/U.S. dollar as a foreign futures hedge: modeling with a bivariate GARCH model
    Nan, Zheng
    Kaizoji, Taisei
    QUANTITATIVE FINANCE AND ECONOMICS, 2019, 3 (02): : 347 - 365
  • [26] How does hedge designation impact the market's perception of credit risk?
    Anbil, Sriya
    Saretto, Alessio
    Tookes, Heather
    JOURNAL OF FINANCIAL STABILITY, 2019, 41 : 25 - 42
  • [27] Impacts of Bitcoin on USA, Japan, China and Turkey stock market indexes: Causality analysis with value at risk method (VAR)
    Unvana, Yuksel Akay
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2021, 50 (07) : 1599 - 1614
  • [28] Bitcoin versus S&P 500 Index: Return and Risk Analysis
    Nzokem, Aubain
    Maposa, Daniel
    MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, 2024, 29 (03)
  • [29] The reaction of financial markets to Russia's invasion of Ukraine: evidence from gold, oil, bitcoin, and major stock markets
    Diaconasu, Delia Elena
    Mehdian, Seyed M.
    Stoica, Ovidiu
    APPLIED ECONOMICS LETTERS, 2023, 30 (19) : 2792 - 2796
  • [30] Using High-Frequency Entropy to Forecast Bitcoin's Daily Value at Risk
    Pele, Daniel Traian
    Mazurencu-Marinescu-Pele, Miruna
    ENTROPY, 2019, 21 (02)