The role of green energy stock market in forecasting China's crude oil market : an application of IIS approach and sparse regression models
Faridoon Khan, Sara Muhammadullah, Arshian Sharif, Chien-Chiang Lee
| Year of publication: |
2024
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|---|---|
| Authors: | Khan, Faridoon ; Muhammadullah, Sara ; Arshian Sharif ; Lee, Chien-Chiang |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 130.2024, Art.-No. 107269, p. 1-15
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| Subject: | China | Crude oil market | Green energy stock market | IIS | Out-of-sample forecasting | Sparse regression models | Ölmarkt | Oil market | Prognoseverfahren | Forecasting model | Erneuerbare Energie | Renewable energy | Regressionsanalyse | Regression analysis | Aktienmarkt | Stock market | Ölpreis | Oil price | Energieprognose | Energy forecast | Erdöl | Petroleum | Volatilität | Volatility | Welt | World |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2023.107269 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014559200