Climate change attention and carbon futures return prediction
Year of publication: |
2023
|
---|---|
Authors: | Gong, Xu ; Li, Mengjie ; Guan, Keqin ; Sun, Chuanwang |
Published in: |
The journal of futures markets. - New York, NY : Wiley Interscience, ISSN 1096-9934, ZDB-ID 2002201-3. - Vol. 43.2023, 9, p. 1261-1288
|
Subject: | carbon futures | climate attention | Google Trends index | machine learning | text mining | Klimawandel | Climate change | Treibhausgas-Emissionen | Greenhouse gas emissions | Prognose | Forecast | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Text | Data Mining | Data mining | Klimaschutz | Climate protection |
-
Semiromi, Hamed Naderi, (2020)
-
Abudu, Hermas, (2023)
-
Computational literature reviews : method, algorithms, and roadmap
Antons, David, (2023)
- More ...
-
The role of textual analysis in oil futures price forecasting based on machine learning approach
Gong, Xu, (2022)
-
Time-varying pure contagion effect between energy and nonenergy commodity markets
Gong, Xu, (2022)
-
The role of China's crude oil futures in world oil futures market and China's financial market
Sun, Chuanwang, (2023)
- More ...