Dynamics of Bitcoin trading on the Binance cryptocurrency exchange

Economic Annals-ХХI: Volume 187, Issue 1-2, Pages: 177-188

Citation information:
Patashkova, Ye., Niyazbekova, Sh., Kerimkhulle, S., Serikova, M., & Troyanskaya, M. (2021). Dynamics of Bitcoin trading on the Binance cryptocurrency exchange. Economic Annals-XXI, 187(1-2), 177-188. doi: https://doi.org/10.21003/ea.V187-17


Yelena Patashkova
PhD Student (Finance),
Senior Lecturer,
Department of Finance,
Turan University
16а Satpayev Str., Almaty, 050013, Republic of Kazakhstan
patashkova84@gmail.com
ORCID ID: https://orcid.org/0000-0002-1587-2050

Shakizada Niyazbekova
PhD (Finance),
Associate Professor,
Department of Banking and Financial Markets,
Financial University under the Government of the Russian Federation
86 Leningradsky Blvd., Moscow, 125993, Russian Federation
shakizada.niyazbekova@gmail.com
ORCID ID: https://orcid.org/0000-0002-3433-9841

Seyit Kerimkhulle
D.Sc. (Economics),
PhD (Physics and Mathematics),
Professor,
Department of Information Systems,
Laboratory for Econometric Studies,
L. N. Gumilyov Eurasian National University
2 Satpayev Str., Nur-Sultan, 010000, Republic of Kazakhstan
kerimkhulle@gmail.com
ORCID ID: https://orcid.org/0000-0002-5886-6064

Madina Serikova
PhD (State Audit),
Department of State Audit,
L. N. Gumilyov Eurasian National University
2 Satpayev Str., Nur-Sultan, 010000, Republic of Kazakhstan
madina2281@mail.ru
ORCID ID: http://orcid.org/0000-0002-9832-8885

Marija Troyanskaya
D.Sc. (Economics),
Associate Professor of the
Department of State and Municipal Management,
Orenburg State University
13 Victory Ave., Orenburg, 460018, Russian Federation
m_troyanskaya@mail.ru
ORCID ID: https://orcid.org/0000-0003-4545-3786

Dynamics of Bitcoin trading on the Binance cryptocurrency exchange

Abstract. Currently, there are a great number of platform-projects and frameworks based on blockchain technology. Consequently, it is necessary to define the most relevant blockchain platforms and analyze them taking into consideration a variety of features. Also, there is a need to investigate the logistics growth and the price of Bitcoin on the Binance cryptocurrency exchange.

The authors have examined modern technologies used by manufacturing companies in the field of fintech in the context of the 2019-2024 period. The results show that sensors and automatic identification take the leading position both at present and in 2024. Aartificial intelligence and blockchain are also in demand by manufacturers today, however in the nearest future their ranking positions will increase sixfold from 10% to 60%. In the current paper the authors review the largest companies that effectively use blockchain technology in their businesses. The conducted survey shows that 18% of companies use blockchain technology based on Bitcoin. The authors have analysed a number of Bitcoin transactions for the period from January 2017 to February 2021 and concluded that the COVID-19 pandemic has had a favourable effect on the indicator data. A maximum number of transactions equal to 10.15 million was carried out in July 2020.

Using the method of the Ordinary Least Squares (OLS) and statistical estimation methods the authors have revealed an underestimation of the equilibrium state of the empirical distribution of price data and the volume of daily trading of Bitcoin on the Binance cryptocurrency exchange through the channel of the right-hand confidence interval.

The blockchain technology based on Bitcoin has positively reacted to the macroeconomic factors such as the COVID-19 pandemics and further growth in Bitcoin transactions is expected. With the help of economic modelling, the authors have defined the predictable volume and the price of Bitcoin on the Binance cryptocurrency exchange.

Keywords: Bitcoin; Cryptocurrency; Fintech; Blockchain Technology; Financial Market

JEL Classification: С58; D53; M41; M49

Acknowledgements and Funding: The authors received no direct funding for this research.

Contribution: The authors contributed equally to this work.

Data Availability Statement: The authors confirm that the data supporting the conclusions of this study are available in the article.

DOI: https://doi.org/10.21003/ea.V187-17

References

  1. Arner, D. W., Barberis, J. N., & Buckley, R. P. (2015). The Evolution of Fintech: A New Post-Crisis Paradigm? University of Hong Kong Faculty of Law Research Paper No. 2015/047, UNSW Law Research Paper No. 2016-62.
    https://doi.org/10.2139/ssrn.2676553
  2. Bariviera, A. F., Zunino, L., & Rosso, O. A. (2018). An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers. Chaos, 28(7), 7.
    https://doi.org/10.1063/1.5027153
  3. Blockcrypto. (2021). Bitcoin chart for performance.
    https://www.theblockcrypto.com/data/on-chain-metrics/Bitcoin
  4. Bolfing, A. (2020). Cryptographic Primitives in Blockchain Technology: A mathematical introduction.
    https://doi.org/10.1093/oso/9780198862840.001.0001
  5. Brukhanskyi, R. F., & Spilnyk, I. V. (2019). Crypto Assets in the System of Accounting and Reporting. The Problems of Economy, 2, 145-156.
    https://doi.org/10.32983/2222-0712-2019-2-145-156
  6. Brunnermeier, M., & Abadi, J., (2018). Blockchain economics (No. w25407). National Bureau of Economic Research.
    https://doi.org/10.3386/w25407
  7. Bukhtiarova, A., Hayriyan, A., Bort, N., & Semenog, A. (2018). Modeling of FinTech market development (on the example of Ukraine). Innovative Marketing, 14(4), 34-45.
    https://doi.org/10.21511/im.14(4).2018.03
  8. Buterin, V., & Schrepel, T. (2020). Blockchain Code as Antitrust. Berkeley Technology Law Journal, 1-13.
    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3597399
  9. Casino, F., Dasaklis, T. K., & Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics Informatics, 36, 55-81.
    https://doi.org/10.1016/j.tele.2018.11.006
  10. Chen, K. (2018). Financial Innovation and Technology Firms: A Smart New World with Machines. In William A. Barnett & Bruno S. Sergi (ed.), Banking and Finance Issues in Emerging Markets, 25 (pp. 279-292). Emerald Publishing Ltd.
    https://doi.org/10.1108/S1571-038620180000025012
  11. Chen, R. I., Petrov, A. Y., Torbeev, E. I., & Limarev, P. V. (2018). Digital technologies in banking service. Russian and international experience. Economics and Management, 25(2), 42-49.
    https://vestnik-
    muiv.ru/en/article/tsifrovye-tekhnologii-v-bankovskoy-sfere-rossiyskiy-i-mirovoy-opyt
  12. Ciaian, P., Rajcaniova, M., & Kancs, d’A. (2016). The economics of Bitcoin price formation. Applied Economics, 48(19), 1799-1815.
    https://doi.org/10.1080/00036846.2015.1109038
  13. Darcy, W. E. Allen. (2018, May 15). Entrepreneurial Exit: Developing the Cryptoeconomy. Blockchain Economics, World Scientific.
    https://doi.org/10.2139/ssrn.3139122
  14. Forbes. (2021). Blockchain 50.
    https://www.forbes.com/sites/michaeldelcastillo/2020/02/19/blockchain50/?sh=6b5ae1a57553
  15. Fry, J., & Cheah, E. T. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47, 343-352.
    https://doi.org/10.1016/j.irfa.2016.02.008
  16. Gai, K., Qiu, M., & Sun, X. (2018). A survey on FinTech. Journal of Network and Computer Applications, 103, 262-273.
    https://doi.org/10.1016/j.jnca.2017.10.011
  17. Giudici, G., Milne, A., & Vinogradov, D. (2020). Cryptocurrencies: market analysis and perspectives. Journal of Industrial and Business Economics, 47, 1-18.
  18. Greene, W. H. (2018). Econometric Analysis, 8th Edition. Stern School of Business, New York University.
    https://www.pearson.com/us/higher-education/program/Greene-Econometric-Analysis-8th-Edition/PGM334862.html
  19. Grennan, J., & Michaely, R. (2020, September 11). FinTechs and the Market for Financial Analysis. Journal of Financial and Quantitative Analysis, 1-31.
    https://doi.org/10.1017/S0022109020000721
  20. Gupta, S., & Sadoghi, M. (2018). Blockchain Transaction Processing. In S. Sakr & A. Zomaya (Eds.), Encyclopedia of Big Data Technologies. Springer, Cham.
    https://doi.org/10.1007/978-3-319-63962-8_333-1
  21. Giudici, G., Milne, A., & Vinogradov, D. (2020). Cryptocurrencies: market analysis and perspectives. Journal of Industrial and Business Economics, 47, 1-18
    https://doi.org/10.1007/s40812-019-00138-6
  22. Investing. (2021). Insights into Bitcoin Price.
    https://www.investing.com/analysis/cryptocurrency
  23. ISO. (1976). ISO 2854:1976. Statistical interpretation of data – Techniques of estimation and tests relating to means and variance.
    https://www.iso.org/standard/7854.html
  24. Ivashchenko, A., Britchenko, I., Dyba, M., Polishchuk, Y., Sybirianska, Y., & Vasylyshen, Y. (2018). Fintech platforms in SME’s financing: EU experience and ways of their application in Ukraine. Investment Management and Financial Innovations, 15(3), 83-96.
    https://doi.org/10.21511/imfi.15(3).2018.07
  25. Kim, Y. B., Kim, J. G., Kim, W., Im, J. H., Kim, T. H., Kang, S. J., & Kim, C. H. (2016). Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies. Plos One, 11(8), e0161197.
    https://doi.org/10.1371/journal.pone.0161197
  26. Li, X., & Wang, C. A. (2017). The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin. Decision Support Systems, 95, 49-60.
    https://doi.org/10.1016/j.dss.2016.12.001
  27. Molling, G., Klein, A., Hoppen, N., & Rosa, R. D. (2020). Cryptocurrency: a mine of controversies. Journal of Information Systems and Technology Management, 17, e202017010.
    https://doi.org/10.4301/s1807-1775202017010
  28. Pearl, R., & Reed, L. J. (1920). On the Rate of Growth of the Population of the United States since 1790 and Its Mathematical Representation. PNAS, 6(6), 275-288.
    https://doi.org/10.1073/pnas.6.6.275
  29. Rainer, A. (2020). Electronic Markets on blockchain markets. Electronic Markets, 30, 181-188.
    https://doi.org/10.1007/s12525-020-00428-1
  30. Ramos, R. A. (2013). Logistic function as a forecasting model: It’s application to business and economics. International Journal of Engineering and Applied Sciences, 2(3), 29-33.
    https://www.semanticscholar.org/paper/LOGISTIC-FUNCTION-AS-A-FORECASTING-MODEL%3A-IT%27S-TO-Ramos/82522a86524e46af0a1a54c6ba4bc29db98d43b0
  31. Verhulst, P. F. (1838). Notice sur la loi que la population poursuit dans son accroissement. Correspondance Mathé-matique et Physique, 10, 113-121.
    https://www.scirp.org/(S(i43dyn45teexjx455qlt3d2q))/reference/ReferencesPapers.aspx?ReferenceID=268762 (in French)

Received 8.12.2020
Received in revised form 28.12.2020
Accepted 12.01.2021
Available online 28.02.2021