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On the Predictability of Bitcoin Price Movements: A Short-term Price Prediction with ARIMA

Author

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  • Mohamed Khalil Benzekri

    (Istanbul Aydin University, Institute of Graduate Studies, Business Administration, Istanbul-Turkey)

  • Hatice Åžehime Özütler

    (Istanbul Aydin University, ABMYO, Foreign Trade Department, Istanbul-Turkey)

Abstract

Daily transactions in cryptocurrencies have long been following an ascending tendency, with Bitcoin leading the charge. Daily transactions recorded in the system increased from 7000 trade per day in 2012to more than 1 million nowadays. The study aims to examine the utility of cryptocurrencies specific to Bitcoin and diagnose how predictable its price fluctuations and the volatility of the crypto market. Because the dilemma between risk aversion and return maximization became evident for investors with high yielded digital assets in a zero-lower bound environment. Hence the predictability of its price movements in the short run may shed some light on the price formation of Bitcoin. Using an ARIMA model in forecasting Bitcoin price due to its response to short-term data, the study revealed that ARIMA (1,1,0) is efficient in forecasting quarterly price movements for the last two quarters of 2020, and the deviation of its price in this period might suggest a change in its perceived investment value to investors as a digital asset after the outbreak of COVID-19.

Suggested Citation

  • Mohamed Khalil Benzekri & Hatice Åžehime Özütler, 2021. "On the Predictability of Bitcoin Price Movements: A Short-term Price Prediction with ARIMA," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(2), pages 293-309, July.
    • Handle: RePEc:ist:iujepr:v:8:y:2021:i:2:p:293-309
    DOI: 10.26650/JEPR.946081
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    References listed on IDEAS

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