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https://hdl.handle.net/10356/159941
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Neufeld, Ariel | en_US |
dc.contributor.author | Sester, Julian | en_US |
dc.date.accessioned | 2022-07-06T02:50:27Z | - |
dc.date.available | 2022-07-06T02:50:27Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Neufeld, 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.2021.109131 | en_US |
dc.identifier.issn | 0167-7152 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/159941 | - |
dc.description.abstract | Continuity 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.sponsorship | Nanyang Technological University | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Statistics and Probability Letters | en_US |
dc.rights | © 2021 Published by Elsevier B.V. All rights reserved. | en_US |
dc.subject | Science::Mathematics | en_US |
dc.title | On the stability of the martingale optimal transport problem: a set-valued map approach | en_US |
dc.type | Journal Article | en |
dc.contributor.school | School of Physical and Mathematical Sciences | en_US |
dc.identifier.doi | 10.1016/j.spl.2021.109131 | - |
dc.identifier.scopus | 2-s2.0-85107112369 | - |
dc.identifier.volume | 176 | en_US |
dc.identifier.spage | 109131 | en_US |
dc.subject.keywords | Martingale Optimal Transport | en_US |
dc.subject.keywords | Stability | en_US |
dc.description.acknowledgement | Financial support by the Nanyang Assistant Professorship, Singapore Grant (NAP Grant) Machine Learning based Algorithms in Finance and Insurance is gratefully acknowledged. | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | SPMS Journal Articles |
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