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Business conditions, uncertainty shocks and Bitcoin returns

Author

Listed:
  • Yong Jiang

    (Nanjing Audit University)

  • Gang-Jin Wang

    (Hunan University)

  • Dan-Yan Wen

    (Nanjing University of Science and Technology)

  • Xiao-guang Yang

    (Chinese Academy of Sciences)

Abstract

Using a causality test in the frequency domain and a quantile regression model, we examine the impact of the US business conditions and uncertainty shocks (the US equity market uncertainty and global geopolitical risk) on Bitcoin returns. We find that (1) there exists significant causality from the US business condition and uncertainty shocks to Bitcoin returns, and (2) the effects of the US business condition and uncertainty shocks on Bitcoin returns depend on frequency and vary across different market states of Bitcoin.

Suggested Citation

  • Yong Jiang & Gang-Jin Wang & Dan-Yan Wen & Xiao-guang Yang, 2020. "Business conditions, uncertainty shocks and Bitcoin returns," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 415-424, July.
    • Handle: RePEc:spr:eaiere:v:17:y:2020:i:2:d:10.1007_s40844-020-00172-3
    DOI: 10.1007/s40844-020-00172-3
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    References listed on IDEAS

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    Cited by:

    1. Singh, Sanjeet & Bansal, Pooja & Bhardwaj, Nav, 2022. "Correlation between geopolitical risk, economic policy uncertainty, and Bitcoin using partial and multiple wavelet coherence in P5 + 1 nations," Research in International Business and Finance, Elsevier, vol. 63(C).
    2. Long, Huaigang & Demir, Ender & Będowska-Sójka, Barbara & Zaremba, Adam & Shahzad, Syed Jawad Hussain, 2022. "Is geopolitical risk priced in the cross-section of cryptocurrency returns?," Finance Research Letters, Elsevier, vol. 49(C).
    3. Anwer, Zaheer & Farid, Saqib & Khan, Ashraf & Benlagha, Noureddine, 2023. "Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 418-431.

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    More about this item

    Keywords

    Bitcoin; US business condition; Global geopolitical risk; US equity market uncertainty; Causality test; Quantile regression;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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