Effect of World Oil Prices on Cryptocurrency Return

Authors

  • Mohd. Heikal Faculty of Economic and Business Universitas Malikussaleh
  • Maulana Majied Sumatrani Saragih CV. Radja Publika
  • Rico Nur Ilham Faculty of Economic and Business Universitas Malikussaleh
  • Muammar Khaddafi Faculty of Economic and Business Universitas Malikussaleh
  • Rusydi Faculty of Economic and Business Universitas Malikussaleh

DOI:

https://doi.org/10.54443/jaruda.v1i1.9

Keywords:

World Oil Prices, Cryptocurrency Returns

Abstract

This study aims to determine the effect ofWorld Oil Priceseffect on Return Cryptocurrency. The researcher uses a descriptive quantitative approach. Replication research is the repetition of the basic experiment. The analytical method used is multiple linear regression model. As for the results of this study, the variable World Oil Price (X) can explain the Return Cryptocurrency variable (Y) of 27.9%.variableWorld Oil Prices(X) significant effectagainst the Return Cryptocurrency variable (Y). Oil price fluctuations on the world market have an effect on Cryptocurrency Return. In this study, it is found that fluctuations in oil prices in the world market have a positive impact on Cryptocurrency Return. That is, the increase in oil prices encourages the rise of Cryptocurrencies. Researchers suggest to pay more attention to world oil prices first before other commodities, because the impact of world oil prices is very large on commodity prices worldwide. So, for example, a decline in world oil prices can affect Cryptocurrency Return.

References

Bosnia, T. (2018). CoFTRA: Bitcoin Cs Enters the Commodity Futures Exchange Category. CNBC Indonesia. Retreived November 1, 2019 fromhttps://www.cnbcindonesia.com/fintech/20180605082419-37-17841/bappebti-bitcoin-cs-enter-categories-komoditas-bursa-berjangka.

Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2017). Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets. Retrieved fromhttps://ssrn.com/abstract=3070288.

Ferraro, P., King, C., & Shorten, R. (2018). Distributed ledger technology for smart cities, the sharing economy, and social compliance. IEEE Access, 6, 62728-62746.

Ghozali, Imam. 2016. Application of Multivariete Analysis With IBM SPSS 23 Program (8th Edition). VIII Printing. Semarang : Diponegoro University Publishing Agency.

Jaysing Bhosale, Sushil Mavale. 2018. Volatility of select Crypto-currencies: A comparison of Bitcoin, Ethereum and Litecoin. Annual Research Journal of SCMS Vol. 6.

Narayanan, A., Bonneau, J., Felten, E., Miller, A., Goldfeder, S., & Clark, J. (2016). Bitcoin and Cryptocurrency Technologies Introduction to the book.

Sovbetov, Y. (2018). MP RA Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero. In Journal of Economics and Financial Analysis (Vol. 2)

Sugiyono. (2012). Understanding Qualitative Research”. Bandung : ALFABETA.

Umah, Anisatul. (2020, November 07). Official! RI Can Already Transaction Bitcoin Cs on Local Exchanges. Taken fromhttps://www.cnbcindonesia.com/tech/20201107140630-37-200067/resmi-ri- already-bisa-transaksi-bitcoin-cs-di-bursa-lokal

Warsito, OLD, & Robiyanto, R. (2020). Analysis of Cryptocurrency Volatility, Gold, Dollar, and Stock Price Index (IHSG). International Journal of Social Science and Business,4(1).

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Published

2022-07-31

How to Cite

Heikal, M., Majied Sumatrani Saragih, M., Nur Ilham, R., Khaddafi, M., & Rusydi, R. (2022). Effect of World Oil Prices on Cryptocurrency Return. Journal of Accounting Research, Utility Finance and Digital Assets, 1(1), 61–68. https://doi.org/10.54443/jaruda.v1i1.9

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Articles