TY - JOUR
T1 - Geopolitical risk uncertainty and oil future volatility
T2 - evidence from MIDAS models
AU - Mei, Dexiang
AU - Ma, Feng
AU - Liao, Yin
AU - Wang, Lu
PY - 2020/2
Y1 - 2020/2
N2 - Using a textual analysis based geopolitical risk (GPR) index, this paper exploits the effects of geopolitical risk uncertainty on oil futures price volatility within a mixed data sampling (MIDAS) modeling framework. With a variety of MIDAS specifications, our in-sample estimation results suggest that the short-term (e.g. one-day-ahead) oil realized volatility is positively associated with GPR uncertainty, and our out-of-sample forecasting exercise indicates that the GPR index is useful for improving short-term oil futures volatility prediction. In addition, we find that the categorical GPR index: GPR action related index (GPA), contributes more to the long-term oil volatility forecasting, compared with GPR threat related index (GPT).
AB - Using a textual analysis based geopolitical risk (GPR) index, this paper exploits the effects of geopolitical risk uncertainty on oil futures price volatility within a mixed data sampling (MIDAS) modeling framework. With a variety of MIDAS specifications, our in-sample estimation results suggest that the short-term (e.g. one-day-ahead) oil realized volatility is positively associated with GPR uncertainty, and our out-of-sample forecasting exercise indicates that the GPR index is useful for improving short-term oil futures volatility prediction. In addition, we find that the categorical GPR index: GPR action related index (GPA), contributes more to the long-term oil volatility forecasting, compared with GPR threat related index (GPT).
KW - oil futures
KW - realized volatility
KW - Geopolitical risk uncertainty
KW - MIDAS
UR - http://www.scopus.com/inward/record.url?scp=85077504558&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2019.104624
DO - 10.1016/j.eneco.2019.104624
M3 - Article
SN - 1873-6181
VL - 86
SP - 1
EP - 8
JO - Energy Economics
JF - Energy Economics
M1 - 104624
ER -