Uncovering the nonlinear predictive causality between natural gas and electricity prices

Jorge Uribe, Montserrat Guillen and Stephania Mosquera-López

Energy Economics, 2018, vol. 74, issue C, 904-916

Abstract: We measure the directional predictability between electricity and natural gas prices at different quantiles of their respective price distributions. This reveals significant nonlinearities in the relationship that characterizes the interconnected gas and electricity markets of both New England and Pennsylvania-New Jersey-Maryland. We identify a double causality from gas to electricity and vice versa, which increases as their respective market prices rise. In general, this causality is decidedly higher for both price sets at market values at and above their median. The feedback effect from electricity to gas is stronger in the case of New England – where 50% of the power generation mix comprises natural-gas-fired plants – than it is in the case of Pennsylvania-New Jersey-Maryland – where only 24% of the generation mix relies on natural gas sources.

Keywords: Natural gas; Electricity; Directional predictability; Quantiles; Cross-quantilogram (search for similar items in EconPapers)
JEL-codes: C22 L94 L95 Q40 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:74:y:2018:i:c:p:904-916

DOI: 10.1016/j.eneco.2018.07.025

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