KshitijK1999 / A-Hybrid-Deep-Learning-Based-Model-for-Volatility-PredictionLinks
Developing hybrid deep learning models by integrating Neural networks with (s,e,t)GARCH models to predict volatility in the Indian Commodity Market. We evaluate the following DNN models: Multi-layer Perceptron (MLP), Convolutional Neural Network (CNN), and RNN with Long-Short Term Memory (LSTM-RNN) and RNN with Gated-Recurrent Unit (GRU-RNN).
☆17Updated 4 years ago
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