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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 50182294-n
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798316572878
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 50182294
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798316572878
Cantidad disponible: 1 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798316572878
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798316572878
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Paperback. Condición: New. Nº de ref. del artículo: LU-9798316572878
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 50182294-n
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 50182294
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798316572878
Cantidad disponible: 1 disponibles