Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models

Dexiang Mei, Feng Ma, Yin Liao and Lu Wang

Energy Economics, 2020, vol. 86, issue C

Abstract: 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).

Keywords: Oil futures; Realized volatility; Geopolitical risk uncertainty; MIDAS (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (117)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304219

DOI: 10.1016/j.eneco.2019.104624

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