2026-04-17T10:48:37Zhttps://recercat.cat/oai/requestoai:recercat.cat:2445/1283632025-12-05T05:53:05Zcom_2072_1057col_2072_478808col_2072_478917
RECERCAT
author
Uribe Gil, Jorge Mario
author
Guillén, Montserrat
author
Mosquera-López, Stephania
2019-02-18T10:28:34Z2022-08-31T05:10:21Z2018-082019-02-18T10:28:35Z
Wemeasure 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 NewEngland and Pennsylvania-NewJersey-Maryland.Weidentify a double causality fromgas to electricity and vice versa,which increases as their respectivemarket prices rise. In general, this causality is decidedly higher for both price sets at market values at and above their median. The feedback effect fromelectricity to gas is stronger in the case of NewEngland -where 50% of the power generation mix comprises natural-gas-fired plants - than it is in the case of Pennsylvania-NewJersey-Maryland - where only 24% of the generation mix relies on natural gas sources.
cc-by-nc-nd (c) Elsevier Ltd, 2018 http://creativecommons.org/licenses/by-nc-nd/3.0/es info:eu-repo/semantics/openAccess
Indústria del gas
Indústries elèctriques
Política de preus
Programació no lineal
Gas industry
Electric industries
Prices policy
Nonlinear programming
Uncovering the nonlinear predictive causality between natural gas and electricity prices
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion