A novel multiscale forecasting model for crude oil price time series
Bibliographic Data
| ID | 21401698 |
|---|---|
| Authors | Ranran Li (0000-0003-4236-7209, Yanshan University), Yucai Hu (0000-0002-5216-2912, Yanshan University), Jiani Heng (0000-0002-2597-4210, Chinese Academy of Sciences), Xueli Chen (0000-0001-9258-2527, Chinese Academy of Social Sciences, corresponding author) |
| Year | 2021 |
| Volume | 173 |
| Pages | 121181 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2021.121181 |
| OpenAlex | W3197215082 |
| Language | EN |
| Citations received | 5 |
| References cited | 45 |
Crude oil · Econometrics · Economics · Field (mathematics) · Identification (biology) · Machine learning · Mode (computer interface) · Nonlinear system · Petroleum engineering · Range (aeronautics) · Series (stratigraphy) · Time series · West Texas Intermediate · Computer Science · Grey System Theory Applications · Market Dynamics and Volatility · Mathematics · Stock Market Forecasting Methods
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| Citations per year | 1.25 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |