The study examines the predictability of S\&P 500 stock movements during the COVID-19 pandemic. It presents a comparative analysis of random forest and logistic regression models and evaluates the importance of different COVID-19-related features and control variables for the prediction task....

We employ and analyze various machine learning models for daily cryptocurrency market prediction and trading. We train the models to predict binary relative daily market movements of the 100 largest cryptocurrencies. Our results show that all employed models make statistically viable...

Grid technologies and the related concepts of utility computing and cloud computing enable the dynamic sourcing of computer resources and services, thus allowing enterprises to cut down on hardware and software expenses and to focus on key competencies and processes. Resources are shared across...