Nonlinear ensemble models to predict oil reserves and stock market returns in the presence of inherent uncertainty
presented by Lucas Fiévet (MSc ETH Physics)
| Year of publication: |
2017
|
|---|---|
| Authors: | Fiévet, Lucas |
| Publisher: |
Zürich |
| Subject: | Finance | Efficient market | Machine learning | Decision tree | Agent based models | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Agentenbasierte Modellierung | Agent-based modeling | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Aktienmarkt | Stock market | Effizienzmarkthypothese | Efficient market hypothesis |
freely available
| Extent: | 1 Online-Ressource (circa 183 Seiten) Illustrationen |
|---|---|
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Hochschulschrift ; Sammlung ; Collection of articles written by one author |
| Language: | English |
| Thesis: | Dissertation, ETH Zurich, 2017 |
| Notes: | Enthält 5 Beiträge Zusammenfassung in deutscher und englischer Sprache |
| Other identifiers: | 10.3929/ethz-b-000227352 [DOI] hdl:20.500.11850/227352 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011858142