SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...

This study investigates advanced portfolio optimization techniques that integrate copula functions and GARCH models to enhance risk-adjusted performance in the European stock market. Traditional ...

This project implements advanced portfolio optimization techniques using numerical optimization methods in Python. The focus is on Conditional Value-at-Risk (CVaR) optimization and Mean-Variance ...

Packaging Corp. of America announced that it has agreed to purchase Greif's containerboard business for $1.8 billion in cash. This acquisition would add roughly 800,000 tons of containerboard capacity ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

In a dramatic swing that signals evolving corporate real estate priorities, JLL’s 2025 Occupancy Planning Benchmark Report revealed that portfolio optimization has surpassed cost-cutting as the ...

Introduction: The increasing emphasis on sustainable finance policies has necessitated the development of advanced mathematical models to optimize bank investment portfolios and debt structures. While ...

We assessed Bitcoin's application in portfolio optimization with quantitative techniques. Surprisingly, by adding Bitcoin to the Global Market Portfolio we were able to maximize Sharpe, Information, ...

Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...