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Quantitative Portfolio Optimization: Advanced Techniques and Application (Wiley Finance) PDF

2025·4.8 MB·English
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by Miquel Noguer Alonso| 2025| 4.8| English

About Quantitative Portfolio Optimization: Advanced Techniques and Application (Wiley Finance)

Expert guidance on implementing quantitative portfolio optimization techniques In Quantitative Portfolio Optimization: Theory and Practice, renowned financial practitioner Miquel Noguer, alongside physicists Alberto Bueno Guerrero and Julian Antolin Camarena, who possess excellent knowledge in finance, delve into advanced mathematical techniques for portfolio optimization. The book covers a range of topics including mean-variance optimization, the Black-Litterman Model, risk parity and hierarchical risk parity, factor investing, methods based on moments, and robust optimization as well as machine learning and reinforcement technique. These techniques enable readers to develop a systematic, objective, and repeatable approach to investment decision-making, particularly in complex financial markets. Readers will gain insights into the associated mathematical models, statistical analyses, and computational algorithms for each method, allowing them to put these techniques into practice and identify the best possible mix of assets to maximize returns while minimizing risk.

Detailed Information

Author:Miquel Noguer Alonso
Publication Year:2025
ISBN:9781394281312
Language:English
File Size:4.8
Format:PDF
Price:FREE
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