Publication: Mean-variance newsvendor model with random supply and financial hedging
dc.contributor.department | Department of Industrial Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Özekici, Süleyman | |
dc.contributor.kuauthor | Tekin, Müge | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-10T00:07:54Z | |
dc.date.issued | 2015 | |
dc.description.abstract | In this paper, we follow a mean-variance (MV) approach to the newsvendor model. Unlike the risk-neutral newsvendor that is mostly adopted in the literature, the MV newsvendor considers the risks in demand as well as supply. We further consider the case where the randomness in demand and supply is correlated with the financial markets. The MV newsvendor hedges demand and supply risks by investing in a portfolio composed of various financial instruments. The problem therefore includes both the determination of the optimal ordering policy and the selection of the optimal portfolio. Our aim is to maximize the hedged MV objective function. We provide explicit characterizations on the structure of the optimal policy. We also present numerical examples to illustrate the effects of risk-aversion on the optimal order quantity and the effects of financial hedging on risk reduction. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 9 | |
dc.description.openaccess | NO | |
dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
dc.description.sponsorship | Turkish Scientific and Technological Research Council [110M620] This research is supported by the Turkish Scientific and Technological Research Council through grant 110M620. We also wish to thank the reviewers for helpful comments and suggestions that improved the content and presentation of this paper. | |
dc.description.volume | 47 | |
dc.identifier.doi | 10.1080/0740817X.2014.981322 | |
dc.identifier.eissn | 1545-8830 | |
dc.identifier.issn | 0740-817X | |
dc.identifier.scopus | 2-s2.0-84931564799 | |
dc.identifier.uri | https://doi.org/10.1080/0740817X.2014.981322 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/16864 | |
dc.identifier.wos | 356249000002 | |
dc.keywords | Mean-variance approach | |
dc.keywords | Random supply | |
dc.keywords | Risk hedging | |
dc.keywords | Newsvendor model | |
dc.keywords | Inventory models | |
dc.keywords | Managing risk | |
dc.keywords | Random yields | |
dc.keywords | Averse | |
dc.keywords | Decisions | |
dc.language.iso | eng | |
dc.publisher | Taylor and Francis Inc | |
dc.relation.ispartof | IIE Transactions | |
dc.subject | Industrial engineering | |
dc.subject | Operations research | |
dc.subject | Management science | |
dc.title | Mean-variance newsvendor model with random supply and financial hedging | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Tekin, Müge | |
local.contributor.kuauthor | Özekici, Süleyman | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Industrial Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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