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dc.contributor.authorSkålnes, Jørgen
dc.contributor.authorFagerholt, Kjetil
dc.contributor.authorPantuso, Giovanni
dc.contributor.authorWang, Xin
dc.date.accessioned2020-02-06T13:10:55Z
dc.date.available2020-02-06T13:10:55Z
dc.date.created2019-07-30T13:23:46Z
dc.date.issued2019
dc.identifier.citationOmega : The International Journal of Management Science. 2019, .nb_NO
dc.identifier.issn0305-0483
dc.identifier.urihttp://hdl.handle.net/11250/2640060
dc.description.abstractIn this paper we extend the state-of-the-art stochastic programming models for the Maritime Fleet Renewal Problem (MFRP) to explicitly limit the risk of insolvency due to negative cash flows when making maritime shipping investments. This is achieved by modeling the payment of ships in a number of periodical installments rather than in a lump sum paid upfront, representing more closely the actual cash flows for a shipping company. Based on this, we propose two alternative risk control measures, where the first imposes that the cash flow in each time period is always higher than a desired threshold, while the second limits the Conditional Value-at-Risk. We test the two models on realistic test instances based on data from a shipping company. The computational study demonstrates how the two models can be used to assess the trade-offs between risk of insolvency and expected profits in the MFRP.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleRisk Control in Maritime Shipping Investmentsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber15nb_NO
dc.source.journalOmega : The International Journal of Management Sciencenb_NO
dc.identifier.doi10.1016/j.omega.2019.07.003
dc.identifier.cristin1713219
dc.description.localcode© 2019 The Authors.Published by Elsevie rLtd.This is an open access article under the CC BY-NC-NDlicense.nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal