Buch, Englisch, Band 9, 149 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 307 g
Reihe: Socio-Affective Computing
Buch, Englisch, Band 9, 149 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 307 g
Reihe: Socio-Affective Computing
ISBN: 978-3-030-30265-8
Verlag: Springer International Publishing
In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.
This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
Weitere Infos & Material
Chapter 1. Introduction.- Chapter 2.- Revisiting the Literature.- Chapter 3. Theoretical Underpinnings on Text Mining.- Chapter 4. Computational Semantics for Asset Correlations.- Chapter 5. Sentiment Analysis for View Modeling.- Chapter 6. Storage and Update of Domain Knowledge.- Chapter 7. Dialog Systems and Robo-advisory.- Chapter 8. Concluding Remarks.- Appendix.- Index.