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Econometric Model On The Evolution Of Bitcoin Transactions

Author

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  • Camelia-Cătălina Mihalciuc

    (Stefan cel Mare University, Suceava, Romania)

  • Elena-Mădălina MÄ‚NÄ‚LÄ‚CHIOAE (FEȘTILÄ‚)

    (Stefan cel Mare University, Suceava, Romania)

Abstract

In recent years, an increasing number of people are investing in the cryptocurrency market. The evolution of cryptocurrencies has been rapid and tumultuous. Since the emergence of Bitcoin in 2009, a multitude of cryptocurrencies have been created, each with unique features and functionality. These digital currencies operate on blockchain technology, which ensures secure, transparent and decentralised transactions. The evolution of cryptocurrencies in digital asset transactions is a complex and ever-changing topic that requires detailed and up-to-date analysis. In the research, different aspects and factors that may influence the evolution of cryptocurrencies in transactions are considered, the objective of our analysis is to examine the price level and volume of Bitcoin transactions over time to determine whether these variables show significant fluctuations. This analysis studies the trend for the year 2023, intru cat, Bitcoin, represents a popular cryptocurrency that has gained considerable attention in recent years, and its price and trading volume have been subject to dramatic changes.

Suggested Citation

  • Camelia-Cătălina Mihalciuc & Elena-Mădălina MÄ‚NÄ‚LÄ‚CHIOAE (FEȘTILÄ‚), 2023. "Econometric Model On The Evolution Of Bitcoin Transactions," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 11(2), pages 118-128, June.
    • Handle: RePEc:scm:ejafbu:v:11:y:2023:i:2:p:118-128
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    References listed on IDEAS

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    2. Chu, Jeffrey & Zhang, Yuanyuan & Chan, Stephen, 2019. "The adaptive market hypothesis in the high frequency cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 221-231.
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