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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
- EditorialIndependently published
- Año de publicación2025
- ISBN 13 9798316572878
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas490
- EditorMunrow Danny
- Contacto del fabricanteno disponible
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Paperback. Condición: new. Paperback. Reactive PublishingAdvanced Portfolio Optimization with Excel & PythonMaster Quantitative Investing with Real-World ApplicationsUnlock 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 techniquesCombine fundamental and technical factors in allocation decisionsApply risk-parity, volatility targeting, and regime-based tiltsLeverage Python for backtesting and Excel for scenario analysisBridge academic theory with real-world portfolio managementWith 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798316572878
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Advanced Portfolio Optimization with Excel & Python (Paperback)
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