An Exploratory Comparison of Stock Prices Prediction using Multiple Machine Learning Approaches based on Hong Kong Share Market-Reference-Cited by-同舟云学术

An Exploratory Comparison of Stock Prices Prediction using Multiple Machine Learning Approaches based on Hong Kong Share Market

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 14th International Conference on E-business, Management and Economics
language:
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Author:

Lin Chinyang¹^ORCID,Lobo Marques João Alexandre¹^ORCID

Affiliation:

1. Laboratory of Applied Neurosciences, Faculty of Business and Law, University of Saint Joseph, Macau, China, Laboratory of Applied Neurosciences, Faculty of Business and Law, University of Saint Joseph, Macau, China, Macao

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616712.3616762

Reference43 articles.

1. L. K. Shrivastav and R. Kumar , " An Empirical Analysis of Stock Market Price Prediction using ARIMA and SVM," in 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom) , Mar. 2019 , pp. 173– 178 . L. K. Shrivastav and R. Kumar, "An Empirical Analysis of Stock Market Price Prediction using ARIMA and SVM," in 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), Mar. 2019, pp. 173–178.

2. A. Ghosh , S. Bose , G. Maji , N. Debnath , and S. Sen , " Stock price prediction using LSTM on Indian Share Market," in Proceedings of 32nd international conference on , 2019 , pp. 101– 110 . A. Ghosh, S. Bose, G. Maji, N. Debnath, and S. Sen, "Stock price prediction using LSTM on Indian Share Market," in Proceedings of 32nd international conference on, 2019, pp. 101–110.

3. D. Karmiani , R. Kazi , A. Nambisan , A. Shah , and V. Kamble , " Comparison of Predictive Algorithms: Backpropagation , SVM, LSTM and Kalman Filter for Stock Market," in Proceedings 2019 Amity International Conference on Artificial Intelligence (aicai) , S. K. Khatri, A. Rana, and P. K. Kapur, Eds., New York : Ieee , 2019 , pp. 228– 234 . Accessed: November 17th, 2022. [Online]. Available: http://ieeexplore.ieee.org/ielx7/8693842/8701225/08701258.pdf?tag=1 D. Karmiani, R. Kazi, A. Nambisan, A. Shah, and V. Kamble, "Comparison of Predictive Algorithms: Backpropagation, SVM, LSTM and Kalman Filter for Stock Market," in Proceedings 2019 Amity International Conference on Artificial Intelligence (aicai), S. K. Khatri, A. Rana, and P. K. Kapur, Eds., New York: Ieee, 2019, pp. 228–234. Accessed: November 17th, 2022. [Online]. Available: http://ieeexplore.ieee.org/ielx7/8693842/8701225/08701258.pdf?tag=1

4. Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML

5. A systematic review of stock market prediction using machine learning and statistical techniques