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dc.contributor.authorGomes, Diogo A.
dc.contributor.authorSaúde, João
dc.date.accessioned2020-02-19T13:20:31Z
dc.date.available2020-02-19T13:20:31Z
dc.date.issued2020-02-17
dc.identifier.citationGomes, D. A., & Saúde, J. (2020). A Mean-Field Game Approach to Price Formation. Dynamic Games and Applications. doi:10.1007/s13235-020-00348-x
dc.identifier.doi10.1007/s13235-020-00348-x
dc.identifier.urihttp://hdl.handle.net/10754/661572
dc.description.abstractHere, we introduce a price formation model where a large number of small players can store and trade a commodity such as electricity. Our model is a constrained mean-field game (MFG) where the price is a Lagrange multiplier for the supply versus demand balance condition. We establish the existence of a unique solution using a fixed-point argument. In particular, we show that the price is well defined, and it is a Lipschitz function of time. Then, we study linear-quadratic models that can be solved explicitly and compare our model with real data.
dc.description.sponsorshipDiogo A. Gomes was partially supported by KAUST baseline funds and KAUST OSR-CRG2017-3452. João Saúde was partially supported by FCT/Portugal through the CMU-Portugal Program.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/s13235-020-00348-x
dc.rightsArchived with thanks to Dynamic Games and Applications
dc.titleA Mean-Field Game Approach to Price Formation
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalDynamic Games and Applications
dc.rights.embargodate2021-02-17
dc.eprint.versionPost-print
dc.contributor.institutionElectrical and Computer Engineering Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890, USA
dc.identifier.arxivid1807.07088
kaust.personGomes, Diogo A.
dc.date.accepted2019
refterms.dateFOA2021-02-17T00:00:00Z
dc.date.published-online2020-02-17
dc.date.published-print2021-03


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