Machine Learning and Modelling Techniques for Financial Data Sciences: A Comparative Study and Hybrid Model Framework for Stock Market Prediction
The presence of linear temporal dependencies and non-linear market behaviour poses a significant challenge in the field of financial time-series forecasting. The following study presents an in-depth comparison between statistical time-series models, ensemble machine learning models and a hybrid forecasting framework tr...