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dc.contributor.authorSleire, Anders Daasvand
dc.date.accessioned2023-03-31T12:00:02Z
dc.date.available2023-03-31T12:00:02Z
dc.date.created2022-09-26T09:45:47Z
dc.date.issued2022
dc.identifier.issn2073-4859
dc.identifier.urihttps://hdl.handle.net/11250/3061467
dc.description.abstractThis paper introduces etrm, an R package with tools for trading and financial risk management in energy markets. Contracts for electric power and natural gas differ from most other commodities due to the fact that physical delivery takes place over a time interval, and not at a specific point in time. There is typically strong seasonality, limited storage and transmission capacity and strong correlation between price and required volume. Such characteristics need to be taken into account when pricing contracts and managing financial risk related to energy procurement. Tools for these task are usually bundled into proprietary Energy Trading Risk Management (ETRM) systems delivered by specialized IT vendors. The etrm package offers a transparent solution for building a forward price curve for energy commodities which is consistent with methods widely used in the industry. The user’s fundamental market view may be combined with contract price quotes to form a forward curve that replicate current market prices, as described in Ollmar (2003) and Benth et al. (2007). etrm also provides implementations of five portfolio insurance trading strategies for energy price risk management. The forward market curve and the energy price hedging strategies are core elements in an ETRM system, which to the best of the author’s knowledge has not been previously available in the R ecosystem.en_US
dc.language.isoengen_US
dc.publisherThe R Foundationen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleetrm: Energy Trading and Risk Management in Ren_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.32614/RJ-2022-013
dc.identifier.cristin2055258
dc.source.journalThe R Journalen_US
dc.source.pagenumber320-340en_US
dc.identifier.citationThe R Journal. 2022, 14 (1), 320-340.en_US
dc.source.volume14en_US
dc.source.issue1en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal