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A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets

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  • Rehman, Mobeen Ur
  • Kang, Sang Hoon

Abstract

This study examines time–frequency relationship between Bitcoin prices and Bitcoin mining based on daily data from January 2013 to October 2018. Bitcoin mining is measured through Bitcoin hashrate, which represents the completion speed of the Bitcoin code. We also include three energy commodities, i.e. oil, coal, and gas in a multivariate model employing time–frequency wavelet extensions in the form of partial and multivariate models. Results of our study suggest that both oil and gas lead Bitcoin returns from mid 2014 till 2016 across 64– 128 days' period. Under the investment period of 64– 256, hashrate and Bitcoin returns share significant comovement in the presence of oil and natural gas however exhibit no comovement when the effect of coal market is considered. Our results of wavelet decomposition suggest that the magnitude of comovement ranging from short- to long-run is time varying. Finally, results of the causality on quantile test suggest that Bitcoin returns cause changes in Bitcoin hashrate mostly during median quantiles with an asymmetric pattern. Our work entail implications for investors in the Bitcoin and energy market and is also helpful in forecasting the pricing behavior of Bitcoin using the hashrate and vice versa.

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  • Rehman, Mobeen Ur & Kang, Sang Hoon, 2021. "A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets," Global Finance Journal, Elsevier, vol. 49(C).
    • Handle: RePEc:eee:glofin:v:49:y:2021:i:c:s1044028320302763
    DOI: 10.1016/j.gfj.2020.100576
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    7. Rui Dias & Paulo Alexandre & Nuno Teixeira & Mariana Chambino, 2023. "Clean Energy Stocks: Resilient Safe Havens in the Volatility of Dirty Cryptocurrencies," Energies, MDPI, vol. 16(13), pages 1-24, July.
    8. Salisu, Afees A. & Ndako, Umar B. & Vo, Xuan Vinh, 2023. "Oil price and the Bitcoin market," Resources Policy, Elsevier, vol. 82(C).
    9. Naeem, Muhammad Abubakr & Gul, Raazia & Farid, Saqib & Karim, Sitara & Lucey, Brian M., 2023. "Assessing linkages between alternative energy markets and cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 513-529.
    10. Jana, Rabin K. & Ghosh, Indranil & Das, Debojyoti & Dutta, Anupam, 2021. "Determinants of electronic waste generation in Bitcoin network: Evidence from the machine learning approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
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    12. Agnese, Pablo & Rios, Francisco, 2023. "Spillover Effects of Energy Transition Metals in Chile," IZA Discussion Papers 15999, Institute of Labor Economics (IZA).

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