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What is Neural Networks for Stock Price Changes about?
This paper investigates the use of neural networks for forecasting significant stock price changes, a less explored area compared to predicting actual prices or price direction. The study constructs and tests three neural network models—multilayer perceptron, convolutional net, and long short-term memory net—against benchmark models using 10 years of daily stock price data from four major US companies. Results indicate that these models can predict significant price changes with high accuracy, outperforming
- Author
- Ivan Medić
- Language
- EN