Cover of Applied Portfolio Optimization in Python: Quantitative Strategies for Black-Litterman, Hierarchical Risk Parity, and Machine Learning by Schwartz, Alice, Bisette, Vincent, ISBN 9798178408087
Investments & Securities

Applied Portfolio Optimization in Python: Quantitative Strategies for Black-Litterman, Hierarchical Risk Parity, and Machine Learning

Contributor(s): Editor , Author Format: Paperback

Paperback ยท ISBN 9798178408087

โ‚น3,811 3%
โ‚น3,909

Inclusive of GST and other taxes

100% Quality Assurance
No Account Creation Required
Fast Delivery
Secured Transactions

Arriving at your doorstep in 10-15 days

Our logisitcs team will make sure everyitem is delivered safely

Key Specifications

ISBN 9798178408087
Publisher Independently published
Publication date October 2026
Language English
MRP ยฃ30.30 GBP
Page count 436
Item weight 116 g

Applied Portfolio Optimization in Python: Quantitative Strategies for Black-Litterman, Hierarchical Risk Parity, and Machine Learning published by Independently published.