The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic
Year of publication: |
2022
|
---|---|
Authors: | Niu, Zibo ; Ma, Feng ; Zhang, Hongwei |
Published in: |
Energy economics. - Amsterdam : Elsevier, ISSN 0140-9883, ZDB-ID 795279-X. - Vol. 112.2022, p. 1-12
|
Subject: | Volatility forecasting | COVID-19 pandemic | Crude oil futures | MCS test | Uncertainty measures | Volatilität | Volatility | Coronavirus | Prognoseverfahren | Forecasting model | Rohstoffderivat | Commodity derivative | Erdöl | Petroleum | Risiko | Risk | Epidemie | Epidemic | Ölpreis | Oil price | Ölmarkt | Oil market | Prognose | Forecast |
-
Forecasting the volatility of crude oil futures using intraday data
Sévi, Benoît, (2014)
-
Multi-perspective investor attention and oil futures volatility forecasting
Qu, Hui, (2023)
-
Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?
Ma, Feng, (2018)
- More ...
-
Cross-sectional return dispersion and stock market volatility : evidence from high-frequency data
Niu, Zibo, (2023)
-
Do industries predict stock market volatility? : evidence from machine learning models
Niu, Zibo, (2024)
-
Zhang, Hongwei, (2023)
- More ...