HHW.hu
Advanced Portfolio Optimization with Excel & Python - Nyomtatható verzió

+- HHW.hu (https://hhwforum.hu)
+-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9)
+--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57)
+---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64)
+---- Téma: Advanced Portfolio Optimization with Excel & Python (/showthread.php?tid=322909)



RE: Advanced Portfolio Optimization with Excel & Python - book24h - 2025-06-29

[Kép: a3bc5d6dd0ad5940445b2d3df12c8a12.webp]
Free Download Advanced Portfolio Optimization with Excel & Python
English | 2025 | ASIN: B0F3GKWNZQ | 518 pages | Epub | 636.37 KB
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.

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.
Links are Interchangeable - Single Extraction