AbstractThis study tests for calendar anomalies in returns for petroleum and petroleum products via the futures market, specifically, the day-of-the-week (DOW) effect.The energy future contracts in this study are the WTI (West Texas Intermediate), Brent, RBOB (Reformulated Blendstock for Oxygenate Blending) Gasoline, Heating Oil, and Natural Gas.Fu
Bayesian neural networks for fast SUSY predictions
One of the goals of current particle physics research is to obtain evidence for new physics, that is, physics Wash Basin beyond the Standard Model (BSM), at accelerators such as the Large Hadron Collider (LHC) at CERN.The searches for new physics are often guided by BSM theories that depend on many unknown parameters, which, in some cases, makes te