A Mean-Field Game Approach to Price Formation
dc.contributor.author | Gomes, Diogo A. | |
dc.contributor.author | Saúde, João | |
dc.date.accessioned | 2020-02-19T13:20:31Z | |
dc.date.available | 2020-02-19T13:20:31Z | |
dc.date.issued | 2020-02-17 | |
dc.identifier.citation | Gomes, 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.doi | 10.1007/s13235-020-00348-x | |
dc.identifier.uri | http://hdl.handle.net/10754/661572 | |
dc.description.abstract | Here, 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.sponsorship | Diogo 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.publisher | Springer Nature | |
dc.relation.url | http://link.springer.com/10.1007/s13235-020-00348-x | |
dc.rights | Archived with thanks to Dynamic Games and Applications | |
dc.title | A Mean-Field Game Approach to Price Formation | |
dc.type | Article | |
dc.contributor.department | Applied Mathematics and Computational Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.identifier.journal | Dynamic Games and Applications | |
dc.rights.embargodate | 2021-02-17 | |
dc.eprint.version | Post-print | |
dc.contributor.institution | Electrical and Computer Engineering Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890, USA | |
dc.identifier.arxivid | 1807.07088 | |
kaust.person | Gomes, Diogo A. | |
dc.date.accepted | 2019 | |
refterms.dateFOA | 2021-02-17T00:00:00Z | |
dc.date.published-online | 2020-02-17 | |
dc.date.published-print | 2021-03 |
Files in this item
This item appears in the following Collection(s)
-
Articles
-
Applied Mathematics and Computational Science Program
For more information visit: https://cemse.kaust.edu.sa/amcs -
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/