Time-series forecasting models for gasoline prices in China
Year of publication: |
December 2018
|
---|---|
Authors: | Xu, Feng ; Sepehri, Mohamad ; Hua, Jian ; Ivanov, Sergey ; Anyu, Julius N. |
Published in: |
International journal of economics and finance. - Toronto, ISSN 1916-971X, ZDB-ID 2531850-0. - Vol. 10.2018, 12, p. 43-53
|
Subject: | time-series forecasting | ARIMA-GARCH model | exponential smoothing | neural network | support vector regression | ensemble learning | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | China | Neuronale Netze | Neural networks | Prognose | Forecast | Theorie | Theory | Regressionsanalyse | Regression analysis |
-
Stasinakis, Charalampos, (2016)
-
Evangelista, Vivian M., (2019)
-
A new multiscale decomposition ensemble approach for forecasting exchange rates
Sun, Shaolong, (2019)
- More ...
-
Uncertainty shocks, network position, and inventory
Wu, Dazhong, (2023)
-
Contract manufacturing, market competition, and labor productivity in US manufacturing industries
Wu, Dazhong, (2023)
-
Anyu, Julius N., (2019)
- More ...