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The relationship between cryptocurrencies and convention financial market: Dynamic causality test and time-varying influence

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  • Huang, Linxian

Abstract

This paper examines the dynamic causal effect of financial markets on cryptocurrencies from a return perspective by applying the dynamic asymmetric causality tests. Applying daily data from February 1, 2018, to August 31, 2023, this paper also investigates whether the major events, such as COVID-19 or the categories of cryptocurrency, will alter or intensify the existing relationship. The empirical result shows that the causal relationship for both symmetric and asymmetric, between traditional financial markets and cryptocurrency is cyclical and only significant in the short term; such a result is robust with the examination of the VAR-based Granger causality test in the presence of instabilities. The pandemic does not influence the causal relationship, and the gold price had the most significant causal impact on cryptocurrency portfolio returns, while the fluctuations in the stock market had a negligible influence and the two indices did not have different causal impacts on the different types of cryptocurrencies. Adding cryptocurrencies to portfolios with only traditional financial assets can significantly reduce risk.

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  • Huang, Linxian, 2024. "The relationship between cryptocurrencies and convention financial market: Dynamic causality test and time-varying influence," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 811-826.
  • Handle: RePEc:eee:reveco:v:91:y:2024:i:c:p:811-826
    DOI: 10.1016/j.iref.2024.01.032
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    1. Yu, Xiaoling & Cifuentes-Faura, Javier, 2024. "Information spillover among cryptocurrency and traditional financial assets: Evidence from complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).
    2. Shafique Ur Rehman & Touqeer Ahmad & Wu Dash Desheng & Amirhossein Karamoozian, 2024. "Analyzing selected cryptocurrencies spillover effects on global financial indices: Comparing risk measures using conventional and eGARCH-EVT-Copula approaches," Papers 2407.15766, arXiv.org.
    3. Abdulnasser Hatemi-J, 2024. "Testing for the Asymmetric Optimal Hedge Ratios: With an Application to Bitcoin," Papers 2407.19932, arXiv.org, revised Aug 2024.
    4. Mohamed Nihal Saleem & Yianni Doumenis & Epameinondas Katsikas & Javad Izadi & Dimitrios Koufopoulos, 2024. "Decrypting Cryptocurrencies: An Exploration of the Impact on Financial Stability," JRFM, MDPI, vol. 17(5), pages 1-21, April.

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    More about this item

    Keywords

    Cryptocurrency; Asymmetric causality; COVID-19 pandemic; Portfolio selections;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

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