the role of coronavirus news in the volatility forecasting of crude oil futures markets CORD-Papers (Version 1)

Title: The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China
Abstract: Based on the high-frequency heterogeneous autoregressive (HAR) model this paper investigates whether coronavirus news (in China and globally) contains incremental information to predict the volatility of China's crude oil and studies which types of coronavirus news can better forecast China's crude oil volatility. Considering the information overlap among various coronavirus news items and making full use of the information in various coronavirus news items this paper uses two prevailing shrinkage methods lasso and elastic nets to select coronavirus news items and then uses the HAR model to predict China's crude oil volatility. The results show that (i) coronavirus news can be utilized to significantly predict China's crude oil volatility for both in-sample and out-of-sample analyses;(ii) the Panic Index (PI) and the Country Sentiment Index (CSI) have a greater impact on China's crude oil volatility. Additionally China's Fake News Index (FNI) have a significant impact on China's crude oil volatility forecast;and (iii) global coronavirus news provides more incremental information than China's coronavirus news for predicting the volatility of China's crude oil market which indicates that global coronavirus news is also a key factor to consider when predicting the market volatility of China's crude oil. 2021 Elsevier Ltd
Published: 2021
Journal: Resources Policy
Author Name: Niu Z
Author link:
Author Name: Liu Y
Author link:
Author Name: Gao W
Author link:
Author Name: Zhang H
Author link:
license: unk
license_url: [unknown license]
source_x: WHO
who_covidence_id: #covidwho-1281557
has_full_text: FALSE
G_ID: the_role_of_coronavirus_news_in_the_volatility_forecasting_of_crude_oil_futures_markets