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Wiley Quantitative Portfolio Optimization - Advanced Finance Book

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Description

Master advanced mathematical techniques with Quantitative Portfolio Optimization by Wiley. Written by financial practitioner Miquel Noguer and physicists Alberto Bueno Guerrero and Julian Antolin Camarena, this book provides expert guidance on implementing quantitative optimization methods. Readers gain technical knowledge across a wide range of essential topics, including mean-variance optimization, the Black-Litterman Model, and risk parity. The text also covers hierarchical risk parity, factor investing, and methods based on moments. For those seeking advanced stability in their models, it includes sections on robust optimization and machine learning applications. This resource is designed for those seeking a deep understanding of mathematical finance and practical implementation.

Key Features

This Wiley Finance book offers expert guidance on implementing quantitative portfolio optimization techniques.

Learn advanced mathematical methods including mean-variance optimization and the Black-Litterman Model.

Explore specialized topics such as risk parity, hierarchical risk parity, and factor investing.

Gain knowledge on methods based on moments and robust optimization for financial modeling.

Study advanced applications including machine learning within the context of portfolio management.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
06 February 2025
Listed Since
09 May 2024

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No barcode data available

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