Predictability of commodity futures returns with machine learning models
Year of publication: |
2024
|
---|---|
Authors: | Wang, Shirui ; Zhang, Tianyang |
Published in: |
The journal of futures markets. - New York, NY : Wiley Interscience, ISSN 1096-9934, ZDB-ID 2002201-3. - Vol. 44.2024, 2, p. 302-322
|
Subject: | commodity futures | machine learning | return predictability | Künstliche Intelligenz | Artificial intelligence | Rohstoffderivat | Commodity derivative | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Prognose | Forecast |
-
Forecasting oil futures returns with news
Pan, Zhiyuan, (2024)
-
Machine learning to predict grains futures prices
Brignoli, Paolo Libenzio, (2024)
-
The role of textual analysis in oil futures price forecasting based on machine learning approach
Gong, Xu, (2022)
- More ...
-
Can a rational expectation storage model explain the USDA ending grain stocks forecast errors?
Zhang, Tianyang, (2021)
-
Partly parametric generalized additive model
Zhang, Tianyang, (2010)
-
Trading Activity in Commodity Futures and Options Markets
Zhang, Tianyang, (2020)
- More ...