Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159941
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dc.contributor.authorNeufeld, Arielen_US
dc.contributor.authorSester, Julianen_US
dc.date.accessioned2022-07-06T02:50:27Z-
dc.date.available2022-07-06T02:50:27Z-
dc.date.issued2021-
dc.identifier.citationNeufeld, A. & Sester, J. (2021). On the stability of the martingale optimal transport problem: a set-valued map approach. Statistics and Probability Letters, 176, 109131-. https://dx.doi.org/10.1016/j.spl.2021.109131en_US
dc.identifier.issn0167-7152en_US
dc.identifier.urihttps://hdl.handle.net/10356/159941-
dc.description.abstractContinuity of the value of the martingale optimal transport problem on the real line w.r.t. its marginals was recently established in Backhoff-Veraguas and Pammer (2019) and Wiesel (2019). We present a new perspective of this result using the theory of set-valued maps. In particular, using results from Beiglböck et al. (2021), we show that the set of martingale measures with fixed marginals is continuous, i.e., lower- and upper hemicontinuous, w.r.t. its marginals. Moreover, we establish compactness of the set of optimizers as well as upper hemicontinuity of the optimizers w.r.t. the marginals.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofStatistics and Probability Lettersen_US
dc.rights© 2021 Published by Elsevier B.V. All rights reserved.en_US
dc.subjectScience::Mathematicsen_US
dc.titleOn the stability of the martingale optimal transport problem: a set-valued map approachen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doi10.1016/j.spl.2021.109131-
dc.identifier.scopus2-s2.0-85107112369-
dc.identifier.volume176en_US
dc.identifier.spage109131en_US
dc.subject.keywordsMartingale Optimal Transporten_US
dc.subject.keywordsStabilityen_US
dc.description.acknowledgementFinancial support by the Nanyang Assistant Professorship, Singapore Grant (NAP Grant) Machine Learning based Algorithms in Finance and Insurance is gratefully acknowledged.en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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