The role of oil futures intraday information on predicting US stock market volatility

被引:68
|
作者
Tang, Yusui [1 ]
Xiao, Xiao [1 ]
Wahab, M. I. M. [2 ]
Ma, Feng [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China
[2] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON, Canada
关键词
Volatility forecasting; The US stock Market; Oil market volatility; Realized volatility; DCC model; PRICE VOLATILITY; GARCH MODELS; SHOCKS; RETURN; SPILLOVERS; PREDICTABILITY; MACROECONOMY; COMMODITY; ENERGY; INDEX;
D O I
10.1016/j.jmse.2020.10.004
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework. In-sample results indicate that oil futures intraday information is helpful to increase the predictability. Moreover, compared to the benchmark model, the proposed models improve their predictive ability with the help of oil futures realized volatility. In particular, the multivariate HAR model outperforms the univariate model. Accordingly, considering the contemporaneous connection is useful to predict the US stock market volatility. Furthermore, these findings are consistent across a variety of robust checks. (c) 2020 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
引用
收藏
页码:64 / 74
页数:11
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