The asymmetric effect of G7 stock market volatility on predicting oil price volatility : evidence from quantile autoregression model
Year of publication: |
2024
|
---|---|
Authors: | Zhang, Feipeng ; Gao, Hongfu ; Yuan, Di |
Published in: |
Journal of commodity markets : JCM. - Amsterdam : Elsevier, ISSN 2405-8505, ZDB-ID 2851869-X. - Vol. 35.2024, Art.-No. 100409, p. 1-17
|
Subject: | Oil volatility forecasting | Quantile autoregression | Stock volatility | Volatilität | Volatility | Prognoseverfahren | Forecasting model | ARCH-Modell | ARCH model | Aktienmarkt | Stock market | Ölpreis | Oil price | Schätzung | Estimation | Börsenkurs | Share price | Autokorrelation | Autocorrelation | Regressionsanalyse | Regression analysis | Zeitreihenanalyse | Time series analysis |
-
Zhu, Huiming, (2015)
-
Chen, Yan, (2024)
-
Stock returns, quantile autocorrelation, and volatility forecasting
Zhao, Yixiu, (2021)
- More ...
-
Zhang, Feipeng, (2022)
-
Zhou, Sitong, (2022)
-
Detecting Financial Contagion Using a New Nonparametric Measure of Asymmetric Comovements
Zhang, Feipeng, (2022)
- More ...