Asset return prediction via machine learning
Liangliang Zhang
| Year of publication: |
2019
|
|---|---|
| Authors: | Zhang, Liangliang |
| Published in: |
Journal of mathematical finance. - [S.l.] : Scientific Research, ISSN 2162-2434, ZDB-ID 2657377-5. - Vol. 9.2019, 4, p. 691-697
|
| Subject: | Clustering | Classification | Regression | Unsupervised Learning | Supervised Learning | Deep Neural Networks | Machine Learning | Asset Returns | Prediction | Investment Strategies | Universal Approximation Theorem | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Lernprozess | Learning process | Lernen | Learning | Kapitalmarktrendite | Capital market returns | Theorie | Theory | Portfolio-Management | Portfolio selection | Anlageverhalten | Behavioural finance | Algorithmus | Algorithm | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.4236/jmf.2019.94035 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012433454