My work as an economist has made me intimately familiar with uncertainty. I use dynamic models and explore the impacts of uncertainty in a variety of settings. I use tools from statistics and decision ...
Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...
Bitcoin’s Stock to Flow (S2F) model is one of the leading quantitative models that aims to predict the price of Bitcoin until 2026. Since the price of Bitcoin in the next three years is a matter of ...
The financial services industry delivers leading-edge quantitative trading and risk management strategies using state-of-the-art computational tools and techniques including mathematical and ...
Using data from humans and other mammals, a team of scientists at the University of California, Los Angeles (UCLA), and the Santa Fe Institute (SFI), has developed one of the first quantitative models ...
Quantitative investing is an investment process in which securities are chosen based on defined rules. Conventional active management involves a team doing security-specific research: modeling company ...
Our earlier article, Boundaries of the Prediction Model in Tax Law’s Substantial Authority, analyzed the substantial-authority standard, identified factors that taxpayers and their advisors can ...