Novel Perspectives on Using Digitization Techniques to Model Financial Time-Series: Data from the Market for Cryptocurrencies
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67437-2_30
Reference29 articles.
1. Almahameed, B.A., Bisharah, M.: Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management. Asian J. Civil Eng. (2023). https://doi.org/10.1007/s42107-023-00843-7
2. Bhardwaj, S.P., Paul, R.K., Singh, D.R., Singh, K.N.: An empirical investigation of arima and garch models in agricultural price forecasting. Econ. Aff. 59(3), 415 (2014). https://doi.org/10.5958/0976-4666.2014.00009.6
3. Bundi, N., Wildi, M.: Bitcoin and market-(in) efficiency: a systematic time series approach. Digit. Finan. 1(1–4), 47–65 (2019). https://doi.org/10.1007/s42521-019-00004-z
4. Clauberg, R.: Challenges of digitalization and artificial intelligence for modern economies, societies, and management. RUDN J. Econ. 28(3), 556–567 (2020). https://doi.org/10.22363/2313-2329-2020-28-3-556-567
5. D’Amato, V., Levantesi, S., Piscopo, G.: Deep learning in predicting cryptocurrency volatility. Physica A 596, 127158 (2022). https://doi.org/10.1016/j.physa.2022.127158
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