This study aims to combine deep and recurrent neural networks with a reduced-form portfolio model to predict future … enhancing a reduced-form model by integrating it with neural networks is possible and practical for multivariate forecasting of …+, the best results are obtained with shallow LSTM networks. …

energy management and sustainability. Deep Neural Networks (DNNs) are effective tools for learning complex patterns in such …

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN … forecast stock price movements and make wise investment choices. With the help of Deep Neural Networks, which are specially …