Abstract: Financial market forecasting in portfolio formation has increasingly drawn interest within machine learning due to its complex temporal dynamics and high volatility. While Convolutional ...

A group of North Carolina State University researchers has created a model that simulates wind, waves, tides and currents to help pinpoint areas that are likely best to install offshore energy ...

This project implements a CVaR-minimizing portfolio optimization model based on the seminal paper "Optimization of Conditional Value-at-Risk" by Rockafellar and Uryasev (2000). The analysis uses ...

Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...

This is read by an automated voice. Please report any issues or inconsistencies here. Santa Monica-based Fusion Capital Partners, a private investment firm specializing in engineered products and ...

Portfolio optimization is not limited to exploration and production companies as they shed properties deemed non-core. Pipeline companies are also examining their portfolios to determine what assets ...

It sounds like a procurement decision: pick a frontier LLM, standardize, negotiate pricing, and scale rollout. But in 2026, that mindset quietly breaks—because the enterprise problem is no longer ...

Get ready to hit the runway. Despite the White House pushing for expanded access to private markets, many advisors view them as overly complex or unnecessary. SEC Commissioner Caroline Crenshaw went ...

When the largest public pension plan in the U.S. shifts its investment strategy, markets notice. That’s exactly what’s happening with the California Public Employees’ Retirement System (CalPERS), ...

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...