Quantitative Strategies for Portfolio Construction & Optimization

This project is a detailed research-oriented suite of Jupyter notebooks designed to explore key quantitative finance concepts across forecasting, portfolio optimization, and risk-return analysis. This project explores quantitative strategies for asset selection, risk-adjusted return optimization, and out-of-sample validation. Each notebook tackles a specific area of the asset management process, from data preprocessing to predictive modeling and convex optimization.