Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

TradeSmith, a brand under MarketWise, has introduced Predictive Alpha, an artificial intelligence system developed to generate price forecasts for U.S. stocks up to 21 trading days ahead. The tool is ...

With the NBA Draft a day away, new research from BYU stats professor Jared Fisher offers front offices a smarter way to predict how it’ll all play out.

Abstract: Predicting stock price trends not only needs qualitative analysis of textual information but also requires quantitative analysis of historical prices. Although recent advancements in ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Andrew W. Marshall (1921 – 2019) developed methods to analyze long-term geopolitical and military competitions at the RAND ...

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

Business Analytics and Information Technology (BAIT) is Rutgers Business School’s quantitative and computing major. It covers information technology, data analysis and decision support, which are ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...