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Growing Science » Accounting » Accounting and features of mathematical modeling of the system to forecast cryptocurrency exchange rate

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Accounting

ISSN 2369-7407 (Online) - ISSN 2369-7393 (Print)
Quarterly Publication
Volume 6 Issue 3 pp. 357-364 , 2020

Accounting and features of mathematical modeling of the system to forecast cryptocurrency exchange rate Pages 357-364 Right click to download the paper Download PDF

Authors: Tetiana Tarasova, Olga Usatenko, Andrii Makurin, Valentyna Ivanenko, Anzhela Cherchata

DOI: 10.5267/j.ac.2020.1.003

Keywords: Cryptocurrency accounting, Intangible asset, Information, Stablecoin, Cryptocurrency exchange, Instability

Abstract: The objective of this paper is to determine the basic features of the use of mathematical modeling of the system to forecast cryptocurrency exchange rate. The study determines that cryptocurrency is the simplest investment asset being and, at the same time, the riskiest one. Advantages and disadvantages of cryptocurrency use are specified. Advantages include: code openness, anonymity, decentralization, emission, and reliability. Disadvantages include lack of guarantees, instability, risk of prohibition and possible loss. A model to forecast bitcoin cryptocurrency exchange rate is proposed and substantiated mathematically. The observations are the basis to develop a hypothesis: the faster the cryptocurrency (e.g. bitcoin) is mined, the more difficult it is to forecast bitcoin cryptocurrency exchange rate. Certain factors emphasize which may affect the cryptocurrency exchange rate: trade wars of the USA with other export-oriented world economies (China); advent of IEO as the alternative for ICO and new drivers connected with the interest in cryptocurrency; FATF recommendations for market control, the entry of world giants (e.g. Facebook) into the crypto-market and the development of the stablecoin market.



How to cite this paper
Tarasova, T., Usatenko, O., Makurin, A., Ivanenko, V & Cherchata, A. (2020). Accounting and features of mathematical modeling of the system to forecast cryptocurrency exchange rate.Accounting, 6(3), 357-364.

Refrences
Adamik, F., & Kosta, S. (2019). Smartexchange: Decentralised trustless cryptocurrency exchange. International Conference on Business Information Systems, 356-367. doi:10.1007/978-3-030-04849-5_32
Adhami, S., Giudici, G., & Martinazzi, S. (2018). Why do businesses go crypto? an empirical analysis of initial coin offerings. Journal of Economics and Business, 100, 64-75. doi:10.1016/j.jeconbus.2018.04.001
Andrusiv, U., Kinash, I., Cherchata, A., Polyanska, A., Dzoba, O., Tarasova, T & Lysak, H. (2020). Experience and prospects of innovation development venture capital financing. Management Science Letters , 10(4), 781-788.
Augustova, O. (2018). Economic content of cryptocurrency and its accounting in Ukraine. Economy and Society, 18, 844-849.
Baur, A. W., Bühler, J., Bick, M., & Bonorden, C. S. (2015). Cryptocurrencies as a disruption? empirical findings on user adoption and future potential of bitcoin and co. International Conference on Business Information Systems, 63-80. doi:10.1007/978-3-319-25013-7_6
Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?. Finance Research Letters, 20, 192-198.
Chaum, D. (1983). Blind signatures for untraceable payments. Advances in cryptology. Springer, Boston, MA, 199-203.
Chen, Y. P., & Ko, J. C. (2019, October). CryptoAR Wallet: A Blockchain Cryptocurrency Wallet Application that Uses Augmented Reality for On-chain User Data Display. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-5).
Derun, I. & Sklyaruk, I. (2018). The ontological aspects of the essence of cryptocurrency and its display in accounting. Scientific notes of Ostroh Academy National University. Economics series: Scientific journal, 11(39), 163-170.
Dwyer, G. (2015). The economics of Bitcoin and similar private digital currencies. Journal of Financial Stability, 17, 81-91.
Fedorova, Y. (2018). Crypto currencies and their place in the financial system. Economy and society, 15, 771-774.
Feng, W., Wang, Y., & Zhang, Z. (2018). Informed trading in the Bitcoin market. Finance Research Letters, 26, 63-70.
Fostolovich, V. (2018). The mechanism of cryptocurrency management in the enterprise accounting system. Effective Economics, 5, Available at: http:// http: www.economy.nayka.com.ua/
Hong, G., Zhang, L., Yang, M., Yang, Z., Nan, Y., Zhang, Y., . . ., & Qian, Z. (2018). How you get shot in the back: A systematical study about cryptojacking in the real world. Paper presented at the Proceedings of the ACM Conference on Computer and Communications Security, 1701-1713. doi:10.1145/3243734.3243840
Ievdokymov, V., Lehenchuk, S., Zakharov, D., Andrusiv, U., Usatenko, O & Kovalenko, L. (2020). Social capital measurement based on “The value explorer” method. Management Science Letters, 10(6), 1161-1168. doi: 10.5267/j.msl.2019.12.002
Katsiampa, P., Moutsianas, K., & Urquhart, A. (2019). Information demand and cryptocurrency market activity. Economics Letters, 185. doi:10.1016/j.econlet.2019.108714
Kinash, I., Andrusiv, U., Golovnia, O & Popadynets, I. (2019). Aspects of the formation and development of innovation infrastructure in Ukraine. Management Science Letters, 9(13), 2403-2414. doi: 10.5267/j.msl.2019.7.015
Kornieiev, V. & Cheberiako, O (2018). Crypto currencies: The Age and Sphere of Financial Innovation. Bulletin of the Kiev National University. Taras Shevchenko. Series: Economics, 196(1), 40 – 46.
Lukyanov, V. S. (2014). Cryptocurrency market establishment within information network paradigm. Actual Problems of Economics, 158(8), 436-441.
Nabilou, H., & Prüm, A. (2019). Ignorance, debt, and cryptocurrencies: The old and the new in the law and economics of concurrent currencies. Journal of Financial Regulation, 5(1), 29-63. doi:10.1093/jfr/fjz002
Pastrana, S., & Suarez-Tangil, G. (2019). A first look at the crypto-mining malware ecosystem: A decade of unrestricted wealth. Paper presented at the Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC, 73-86. doi:10.1145/3355369.3355576
Petruck, O. & Novak, O. (2017). The essence of cryptocurrency as a methodological premise of its accounting display. Bulletin of Zhytomyr State Technological University. Series: Economics, Management and Administration, 4(82), 48-55.
Petruk, O. & Makurin, A. (2015). Accounting and analytical problems at coal-mining enterprises of Ukraine in terms of European integration. Economic Journal, 21(9-10), 111-114.
Phillip, A., Chan, J. S. K., & Peiris, S. (2018). A new look at Cryptocurrencies. Economics Letters, 163, 6-9.
Pieters, G., & Vivanco, S. (2017). Financial regulations and price inconsistencies across Bitcoin markets. Information Economics and Policy, 39, 1-14.
Safiullin, M., Abdukaeva A., & Elshin L. (2018). Methodological approaches to forecasting the dynamics of the cryptocurrency rate using stochastic analysis tools (using Bitcoin as an example). Finance: Theory and Practice, 22(4), 38-51.
Shanaev, S., Sharma, S., Ghimire, B., & Shuraeva, A. (2020). Taming the blockchain beast? Regulatory implications for the cryptocurrency Market. Research in International Business and Finance, 51, 101080.
Shen, D., Urquhart, A., & Wang, P. (2019). Does twitter predict bitcoin? Economics Letters, 174, 118-122. doi:10.1016/j.econlet.2018.11.007
Shen, D., Urquhart, A., Wang, P. (2019). A three-factor pricing model for cryptocurrencies. Finance Research Letters, 52 – 60.
Strauss, W. & Howe N. (2000). Millennials rising: The next great generation. New York : Vintage Books,. 29.
Tzouvanas, P., Kizys, R., Tsend-Ayush, B. (2019). Momentum trading in cryptocurrencies: Short-term returns and diversification benefits. Economics Letters, 108728.
Yiying, W., & Yeze, Z. (2019). Cryptocurrency price analysis with artificial intelligence. Paper presented at the 5th International Conference on Information Management, ICIM 2019, 97-101. doi:10.1109/INFOMAN.2019.8714700
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Journal: Accounting | Year: 2020 | Volume: 6 | Issue: 3 | Views: 8388 | Reviews: 0

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