Advanced Portfolio Optimization with Excel & Python

By Hayden Van Der Post

Reactive Publishing

Advanced Portfolio Optimization with Excel & Python
Master Quantitative Investing with Real-World Applications

Unlock the full power of modern portfolio theory, machine learning, and quantitative finance using two of the most accessible tools in your arsenal: Excel and Python.

This advanced guide is designed for serious investors, analysts, and finance professionals who want to go beyond basic models and learn how to engineer high-performance portfolios. Inside, you'll find a deep dive into risk-adjusted strategies, multi-factor models, regime switching, Monte Carlo simulations, Black-Litterman adjustments, and more-anchored by code and practical Excel frameworks you can apply immediately.

Whether you're managing capital or building algorithms, this book offers you the tools to:

Construct robust portfolios with modern optimization techniques

Combine fundamental and technical factors in allocation decisions

Apply risk-parity, volatility targeting, and regime-based tilts

Leverage Python for backtesting and Excel for scenario analysis

Bridge academic theory with real-world portfolio management

With a dual emphasis on financial insight and hands-on execution, this book is ideal for those who want more than just theory-it's for builders, quants, and future fund managers.

• Format: Paperback
• Language: English
• ISBN: B0F3JXTDVQ
• ISBN13: 9798316572878
• Release Date: April 2025
• Publisher: Independently Published
• Length: 492 Pages
• Weight: 1.44 lbs.
• Dimensions: 1.0" x 6.0" x 9.0"