Forecasting oil inventory changes with Google trends : a hybrid wavelet decomposer and ARDL-SVR ensemble model
Year of publication: |
2023
|
---|---|
Authors: | Zhao, Lu-Tao ; Zheng, Zhi-Yi ; Wei, Yi-Ming |
Published in: |
Energy economics. - Amsterdam : Elsevier, ISSN 0140-9883, ZDB-ID 795279-X. - Vol. 120.2023, p. 1-20
|
Subject: | Ensemble model | Google trends | Inventory data | Time-frequency analysis | Wavelet method | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Zustandsraummodell | State space model | Suchmaschine | Search engine |
-
Nowcasting growth using google trends data : a bayesian structural time series model
Bhattacharjee, Arnab, (2022)
-
Nowcasting growth using Google Trends data : a Bayesian Structural Time Series model
Kohns, David, (2023)
-
Macroeconomic nowcasting using Google probabilities
Koop, Gary, (2019)
- More ...
-
The fluctuations of China's energy intensity: Biased technical change
Wei, Yi-Ming, (2014)
-
Platform for China Energy & Environmental Policy Analysis: A general design and its application
Wei, Yi-Ming, (2013)
-
The fluctuations of China’s energy intensity: Biased technical change
Wang, Ce, (2014)
- More ...