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Portfolio Optimization: Theory and Application
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XCD 169
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This comprehensive guide to the world of financial data modeling and portfolio design is a must-read for anyone looking to understand and apply portfolio optimization in a practical context.
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- This comprehensive guide to the world of financial data modeling and portfolio design is a must-read for anyone looking to understand and apply portfolio optimization in a practical context. It bridges the gap between mathematical formulations and the design of practical numerical algorithms. It explores a range of methods, from basic time series models to cutting-edge financial graph estimation approaches. The portfolio formulations span from Markowitz's original 1952 mean–variance portfolio to more advanced formulations, including downside risk portfolios, drawdown portfolios, risk parity portfolios, robust portfolios, bootstrapped portfolios, index tracking, pairs trading, and deep-learning portfolios. Enriched with a remarkable collection of numerical experiments and more than 200 figures, this is a valuable resource for researchers and finance industry practitioners. With slides, R and Python code examples, and exercise solutions available online, it serves as a textbook for portfolio optimization and financial data modeling courses, at advanced undergraduate and graduate level.
| Publisher | Cambridge University Press |
| Publication date | June 12, 2025 |
| Language | English |
| Print length | 608 pages |
| ISBN-10 | 100942808X |
| ISBN-13 | 978-1009428088 |
| Item Weight | 2.95 pounds (1.34 kg) |
| Dimensions | 7 x 1.31 x 10 inches (17.8 x 3.3 x 25.4 cm) |
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XCD 169
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Features & Benefits
- Comprehensive guide on financial data modeling and portfolio optimization.
- Bridges mathematical theories with practical algorithm design.
- Covers a wide range of portfolio optimization methods.
- Includes over 200 figures and numerical experiments.
- Offers online resources like R and Python code examples.
- Ideal for advanced undergraduate and graduate-level courses.
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