cross-sectional stock return forecasting, with that of machine learning methods, i.e., penalized linear models, support … prediction of stock returns can be decisively improved through machine learning methods. The outperformance of individual … (combined) machine learning models over the benchmark model is approximately 0.6% (0.7%) per month for the full cross-section of …

We examine the predictability of 299 capital market anomalies enhanced by 30 machine learning approaches and over 250 …

and sea current. In order to achieve robustness, four different Machine Learning methods-from linear regression to an … artificial neural network-are employed for vessel arrival time prediction in this work. The different Machine Learning methods … extensive numerical study. Furthermore, the results show that also rather simple Machine Learning approaches are able to reach …