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All issues Volume 558 (2024) E3S Web of Conf., 558 (2024) 01028 References
Open Access
Issue
E3S Web of Conf.
Volume 558, 2024
4th International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2024)
Article Number 01028
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202455801028
Published online 02 August 2024
  1. CoinMarketCap. (2024). https://coinmarketcap.com [Google Scholar]
  2. Kosc, K., Sakowski, P., & Ślepaczuk, R. (2019). Momentum and contrarian effects on the cryptocurrency market. Physica A: Statistical Mechanics and its Applications, 523, 691-701. [CrossRef] [Google Scholar]
  3. Elsevier (2024). https://service.elsevier.com/app/overview/scopus [Google Scholar]
  4. Spătaru, N., Ionescu, S. Models for Identifying Price Bubbles in the Financial Market: The Science of Buying Cryptocurrency. Smart Innovation, Systems and Technologies, 321, 289–306. [CrossRef] [Google Scholar]
  5. Kocabıyık, T., Karaatlı, M., Özsoy, M., & Özer, M. F. (2024). Cryptocurrency Portfolio Management:A Clustering-Based Association Approach. Ekonomika, 103(1), 25–43. https://doi.org/10.15388/Ekon.2024.103.1.2 [CrossRef] [Google Scholar]
  6. Nair, S.T.G. (2022). Pairs trading in cryptocurrency market: A long-short story. Investment Management and Financial Innovations, 18(3), 127-141. https://doi.org/10.21511/imfi.18(3).2021.12 [Google Scholar]
  7. Hordei, O., Patsai, B., Hurochkina, V. (2019). Optimization Of The Investment Portfolio In The Environment Of Table Processor MS Excel. Estudios de Economia Aplicada, 39(5). https://doi.org/10.25115/eea.v39i5.4983 [Google Scholar]
  8. Omane-Adjepong, M., Ababio, K.A., Alagidede, I.P. (2021). Time-frequency analysis of behaviourally classified financial asset markets. Research in International Business and Finance, 50, 54–69. [Google Scholar]
  9. Ko, H., Son, B., Lee, J. (2024). Portfolio insurance strategy in the cryptocurrency market. Research in International Business and Finance, 67, 102135 Research in International Business and Finance, 67, 102135. [CrossRef] [Google Scholar]
  10. Husain, A., Yii, K.-J., & Lee, C.-C. (2023). Are green cryptocurrencies really green? New evidence from wavelet analysis. Journal of Cleaner Production, 417(137985), 137985. https://doi.org/10.1016/j.jclepro.2023.137985 [CrossRef] [Google Scholar]
  11. Voloshyn, V., Gonchar, V., Gorokhova, T., Korostova, I., & Mironenko, D. (2023). Research on the problem of the efficiency of bitcoins: The energy costs for the generation of this cryptocurrency on a global scale. Frontiers in Artificial Intelligence and Applications, 364, 195–203. [Google Scholar]
  12. Azimov, D., Petrova, M. (2022). Determination of the efficiency of implementing blockchain technology into the logistics systems. Business Management, 4, 52-67 [Google Scholar]
  13. Petrova, M., Todorov, T. (2023). Empirical Testing of Models of Autoregressive Conditional Heteroscedasticity Used for Prediction of the Volatility of Bulgarian Investment Funds. Risks 2023, 11(11), 197. https://doi.org/10.3390/risks11110197 [Google Scholar]
  14. Kalinin, O., Gonchar, V., Abliazova, N., Filipishyna, L., Onofriichuk, O., & Maltsev, M. (2024). Enhancing economic security through digital transformation in investment processes: Theoretical perspectives and methodological approaches integrating environmental sustainability. Natural and Engineering Sciences, 9(1), 26–45. https://doi.org/10.28978/nesciences.1469858 [CrossRef] [Google Scholar]
  15. Demianchuk, M., Koval, V., Hordopolov, V., Kozlovtseva, V., and Atstaja, D. (2021). Ensuring sustainable development of enterprises in the conditions of digital transformations. E3S Web of Conferences, 280, 02002. https://doi.org/10.1051/e3sconf/202128002002 [CrossRef] [EDP Sciences] [Google Scholar]
  16. Kaminsky, O., Koval, V., Yereshko, J., Vdovenko, N., Bocharov, M., & Kazancoglu, Y. (2023). Evaluating the effectiveness of enterprises’ digital transformation by fuzzy logic. In Advances in Soft Computing Applications (pp. 75–90). River. [Google Scholar]
  17. Ramazanov, S. Petrova, M. (2020). Development management and forecasting in a green innovative economy based on the integral dynamics model in the conditions of «Industry - 4.0». Access to science, business, innovation in digital economy. ACCESS Press, 1(1), 9-30. https://doi.org/10.46656/access.2020.1.1(1) [CrossRef] [Google Scholar]
  18. Nikolova-Alexieva, V., Alexieva, I., Valeva, K., Petrova, M. (2022). Model of the Factors Affecting the Eco-Innovation Activity of Bulgarian Industrial Enterprises. Risks, 10(9), 178. https://doi.org/10.3390/risks10090178 [CrossRef] [Google Scholar]
  19. Matyushenko, I., Hlibko, S., Petrova, M., Khanova, O., Loktionova, M., Trofimchenko, K. (2021). Assessment of technological competitiveness of Ukraine in terms of association with the EU. Ikonomicheski Izsledvania, 30(7), 148-176. [Google Scholar]

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