Bücher versandkostenfrei*100 Tage RückgaberechtAbholung in der Wunschfiliale
Ihr Ostergeschenk: 15% Rabatt auf viele Sortimente11 mit dem Code OSTERN15
Jetzt einlösen
mehr erfahren
product
cover

Portfolio Optimization

Theory and Application

1165 Lesepunkte
Buch (gebunden)
Buch (gebunden)
Sparen Sie zusätzlich 15%11 auf diesen Artikel mit dem Gutscheincode: OSTERN15
116,49 €inkl. Mwst.
Zustellung: Mi, 14.05. - Sa, 17.05.
Noch nicht erschienen
Versandkostenfrei
Bestellen & in Filiale abholen:
Empfehlen
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.

Inhaltsverzeichnis

Preface; 1. Introduction; I. Financial Data: 2. Financial data: stylized facts; 3. Financial data: IID modeling; 4. Financial data: time series modeling; 5. Financial data: graphs; II. Portfolio Optimization: 6. Portfolio basics; 7. Modern portfolio theory; 8. Portfolio backtesting; 9. High-order portfolios; 10. Portfolios with alternative risk measures; 11. Risk parity portfolios; 12. Graph-based portfolios; 13. Index tracking portfolios; 14. Robust portfolios; 15. Pairs trading portfolios; 16. Deep learning portfolios; Appendices: Appendix A. Convex optimization theory; Appendix B. Optimization algorithms.

Produktdetails

Erscheinungsdatum
30. April 2025
Sprache
englisch
Seitenanzahl
550
Autor/Autorin
Daniel P Palomar
Produktart
gebunden
ISBN
9781009428088

Portrait

Daniel P Palomar

Daniel P. Palomar is a Professor at the Hong Kong University of Science and Technology. He is recognized as EURASIP Fellow, IEEE Fellow, and Fulbright Scholar, and recipient of numerous research awards. His current research focus is on convex optimization applications in signal processing, machine learning, and finance. He is the author of many research articles and books, including 'Convex Optimization in Signal Processing and Communications'.

Bewertungen

0 Bewertungen

Es wurden noch keine Bewertungen abgegeben. Schreiben Sie die erste Bewertung zu "Portfolio Optimization" und helfen Sie damit anderen bei der Kaufentscheidung.