How to cite this paper
Farahani, M & Farrokhi-Asl, H. (2024). Using artificial intelligence techniques and econometrics model for crypto-price prediction.Accounting, 10(2), 67-88.
Refrences
Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2019). Cryptocurrency market contagion: market uncertainty, market complexity, and dynamic portfolios. Journal of International Financial Markets, Institutions and Money, 61, 37-51.
Azadeh, A., & Farrokhi-Asl, H. (2019). The close–open mixed multi depot vehicle routing problem considering internal and external fleet of vehicles. Transportation Letters, 11(2), 78-92.
Bai, A., & Vahedian, M. (2023). Beyond the Screen: Safeguarding Mental Health in the Digital Workplace Through Organizational Commitment and Ethical Environment. Available at SSRN 4623055.
Chang, V., Hall, K., Xu, Q. A., & Wang, Z. (2022). A social network analysis of two networks: Adolescent school network and Bitcoin trader network. Decision Analytics Journal, 3, 100065.
Dapp, M. M. (2021). From Fiat to Crypto: The Present and Future of Money. In Finance 4.0-Towards a Socio-Ecological Finance System (pp. 1-25). Springer, Cham.
Fang, F., Ventre, C., Basios, M., Kanthan, L., Martinez-Rego, D., Wu, F., & Li, L. (2022). Cryptocurrency trading: a comprehensive survey. Financial Innovation, 8(1), 1-59.
Hamayel, M. J., & Owda, A. Y. (2021). A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms. AI, 2(4), 477-496.
Kasaie, A., & Rajendran, S. (2023). Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics. Healthcare Analytics, 4, 100242.
Katoch, S., Chauhan, S. S., & Kumar, V. (2021). A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5), 8091-8126.
Kim, H. M., Bock, G. W., & Lee, G. (2021). Predicting Ethereum prices with machine learning based on Blockchain information. Expert Systems with Applications, 184, 115480.
Lai, C., Wang, Y., Fan, K., Cai, Q., Ye, Q., Pang, H., & Wu, X. (2022). An improved forecasting model of short-term electric load of papermaking enterprises for production line optimization. Energy, 123225.
Maleki, N., Nikoubin, A., Rabbani, M., & Zeinali, Y. (2020). Bitcoin price prediction based on other cryptocurrencies using machine learning and time series analysis. Scientia Iranica.
Naseri, H., Jahanbakhsh, H., Foomajd, A., Galustanian, N., Karimi, M. M., & D. Waygood, E. O. (2022). A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression. International Journal of Pavement Engineering, 1-13.
Rathan, K., Sai, S. V., & Manikanta, T. S. (2019, April). Crypto-currency price prediction using decision tree and regression techniques. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 190-194). IEEE.
Shahvaroughi Farahani, M., & Razavi Hajiagha, S. H. (2021). Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models. Soft Computing, 25(13), 8483-8513.
Shobana, G., & Umamaheswari, K. (2021, January). Forecasting by Machine Learning Techniques and Econometrics: A Review. In 2021 6th International Conference on Inventive Computation Technologies (ICICT) (pp. 1010-1016). IEEE.
Xu, X., & Zhang, Y. (2023). A high-frequency trading volume prediction model using neural networks. Decision Analytics Journal, 7, 100235.
Yuan, Y., & Wang, F. Y. (2018). Blockchain and cryptocurrencies: Model, techniques, and applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1421-1428.
Azadeh, A., & Farrokhi-Asl, H. (2019). The close–open mixed multi depot vehicle routing problem considering internal and external fleet of vehicles. Transportation Letters, 11(2), 78-92.
Bai, A., & Vahedian, M. (2023). Beyond the Screen: Safeguarding Mental Health in the Digital Workplace Through Organizational Commitment and Ethical Environment. Available at SSRN 4623055.
Chang, V., Hall, K., Xu, Q. A., & Wang, Z. (2022). A social network analysis of two networks: Adolescent school network and Bitcoin trader network. Decision Analytics Journal, 3, 100065.
Dapp, M. M. (2021). From Fiat to Crypto: The Present and Future of Money. In Finance 4.0-Towards a Socio-Ecological Finance System (pp. 1-25). Springer, Cham.
Fang, F., Ventre, C., Basios, M., Kanthan, L., Martinez-Rego, D., Wu, F., & Li, L. (2022). Cryptocurrency trading: a comprehensive survey. Financial Innovation, 8(1), 1-59.
Hamayel, M. J., & Owda, A. Y. (2021). A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms. AI, 2(4), 477-496.
Kasaie, A., & Rajendran, S. (2023). Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics. Healthcare Analytics, 4, 100242.
Katoch, S., Chauhan, S. S., & Kumar, V. (2021). A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5), 8091-8126.
Kim, H. M., Bock, G. W., & Lee, G. (2021). Predicting Ethereum prices with machine learning based on Blockchain information. Expert Systems with Applications, 184, 115480.
Lai, C., Wang, Y., Fan, K., Cai, Q., Ye, Q., Pang, H., & Wu, X. (2022). An improved forecasting model of short-term electric load of papermaking enterprises for production line optimization. Energy, 123225.
Maleki, N., Nikoubin, A., Rabbani, M., & Zeinali, Y. (2020). Bitcoin price prediction based on other cryptocurrencies using machine learning and time series analysis. Scientia Iranica.
Naseri, H., Jahanbakhsh, H., Foomajd, A., Galustanian, N., Karimi, M. M., & D. Waygood, E. O. (2022). A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression. International Journal of Pavement Engineering, 1-13.
Rathan, K., Sai, S. V., & Manikanta, T. S. (2019, April). Crypto-currency price prediction using decision tree and regression techniques. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 190-194). IEEE.
Shahvaroughi Farahani, M., & Razavi Hajiagha, S. H. (2021). Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models. Soft Computing, 25(13), 8483-8513.
Shobana, G., & Umamaheswari, K. (2021, January). Forecasting by Machine Learning Techniques and Econometrics: A Review. In 2021 6th International Conference on Inventive Computation Technologies (ICICT) (pp. 1010-1016). IEEE.
Xu, X., & Zhang, Y. (2023). A high-frequency trading volume prediction model using neural networks. Decision Analytics Journal, 7, 100235.
Yuan, Y., & Wang, F. Y. (2018). Blockchain and cryptocurrencies: Model, techniques, and applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1421-1428.