Statistical and Machine Learning forecasting methods: Concerns and ways forward

Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computational requirements. […] The paper discusses the results, explains why the accuracy of ML models is below that of statistical ones and proposes some possible ways forward.