2019
DOI: 10.1007/s00181-019-01706-4
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Prequential forecasting in the presence of structure breaks in natural gas spot markets

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Cited by 3 publications
(3 citation statements)
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References 58 publications
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“…Cross-regional arbitrage trade is the basis of price linkage between different regions [37]. Kannika and James [38] focus on the single spot market and make probabilistic forecasts for natural gas in eight spot markets. Zhou and Li [39] underscore that arbitragers play an important role in spot-futures market interaction and shock transfer, and adequate arbitrage trading during crises may help eliminate the positive basis and halt the further spread of crises.…”
Section: Cross-regional Arbitrage Between Futures and Spotmentioning
confidence: 99%
“…Cross-regional arbitrage trade is the basis of price linkage between different regions [37]. Kannika and James [38] focus on the single spot market and make probabilistic forecasts for natural gas in eight spot markets. Zhou and Li [39] underscore that arbitragers play an important role in spot-futures market interaction and shock transfer, and adequate arbitrage trading during crises may help eliminate the positive basis and halt the further spread of crises.…”
Section: Cross-regional Arbitrage Between Futures and Spotmentioning
confidence: 99%
“…Based on the assumption of random walk, missing values are replaced by the previous month’s price. Previous studies such as Park, Mjelde, and Bessler (2008), Olsen, Mjelde, and Bessler (2015), and Duangnate and Mjelde (2020) have used the random walk assumption to replace missing values. As shown in Figure 5, prices show an upward trend.…”
Section: Datamentioning
confidence: 99%
“…Huang and Etienne (2019) add that gas prices are less sensitive to Gulf State incidents, when shale production has greater influence since the shale revolution. Duangnate and Mjelde (2019) suggest that the Henry Hub and AECO prices are easier to forecast since they are in excess supply zones. Instead, Chicago and Illinois prices are harder to predict since they are in areas of excess demand.…”
Section: Introductionmentioning
confidence: 99%