), econometric forecasting method (autoregressive integrated moving average model, ARIMA), and deep learning techniques … econometric model, machine learning models, basic deep learning models, and traditional decomposition-ensemble models, within one …

Evidence from Africa -- Part 2: Financial Risk Prediction using Machine Learning -- 5. Using Outlier Modification Rule for … Support Vector Machine and Logit Support Vector Machine -- 7. Predicting Corporate Failure using Ensemble Extreme Learning …-Series Forecasting -- 9. An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction -- 10. Model …

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time … series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to … predictive ability are brie y reviewed. Finally, we discuss application of machine learning in economics and finance and provide …

algorithm based on natural language processing and deep learning techniques for the quantification of economic policy …, financial forecasting, and potentially, derivative pricing. …

of them forecasting future mortality rates by extrapolating one or more latent factors. The abundance of proposed models … shows that forecasting future mortality from historical trends is non-trivial. Following the idea proposed in Deprez et al … parameter (the machine learning estimator), improving the goodness of fit of standard stochastic mortality models. The machine …