Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns …

largely unknown. This paper uses machine learning on regulatory documents to construct a novel dataset on compliance costs to …

intelligence (AI), particularly machine learning (ML), to enhance their efficiency and analytical capabilities. The European …

GMDH model are controlled to investigate their impact on the accuracy of the machine learning approach. Corresponding … with GARCH, GMDH's accuracy is much higher, indicating that the machine learning approach can provide a highly accurate … GARCH model in forecasting REIT returns. Hence, investors can use the machine learning approach to make more accurate …

from empirical properties that appear only in the test sample. Using ensemble machine learning techniques, we create a …

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms …

We combine unsupervised machine-learning and econometric methods to examine cultural change in 16th- and 17th …-century England. A machine-learning digest synthesizes the content of 57,863 texts comprising 83 million words into 110 topics. The … generated via machine-learning we then study facets of England's cultural history. Timelines suggest that religious and …