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Applied Portfolio Optimization in Python: Quantitative Strategies for Black-Litterman, Hierarchical Risk Parity, and Machine Learning
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Applied Portfolio Optimization in Python: Quant... B0HLS1N5WM Book Cover

Applied Portfolio Optimization in Python: Quant...

Edition Description

Reactive Publishing

Master the modern quantitative toolkit required to transition portfolio construction from theoretical frameworks into production-ready Python workflows.

Traditional mean-variance optimization often struggles under real-market conditions,...

Edition Details
Format:Paperback
Language:English
ISBN:B0HLS1N5WM
Format: Paperback
Condition:
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38.01
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List Price: $39.99
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