S&P 500 concentration risk is surging—the top 10 now make up 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better diversification.

A quantum-classical hybrid application for portfolio optimization using Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA). Supports local simulation and real ...

Abstract: In this paper, we study the Markowitz dynamic portfolio problem, where individual agents seek to maximize their expected return while minimizing the variance of the return (risk). We model a ...

The company closed approximately 600,000 tons of high-cost or inefficient capacity in 2025; CEO Tony Smurfit says 2026 has started with a “generally better” operating environment. Smurfit Westrock ...

Company delivered record performance across FX, Rates, and Credit products and launched innovative offerings Capitolis, the financial technology company, today announced record-breaking performance in ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning Denmark facing "decisive moment" ...

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 ...

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), ...

NVIDIA introduces a GPU-accelerated solution to streamline financial portfolio optimization, overcoming the traditional speed-complexity trade-off, and enabling real-time decision-making. In a move to ...