Show simple item record

dc.contributor.authorZhu, Yada
dc.contributor.authorChen, Wenyu
dc.contributor.authorZhang, Yang
dc.contributor.authorGao, Tian
dc.contributor.authorLi, Jianbo
dc.date.accessioned2022-11-14T15:36:33Z
dc.date.available2022-11-14T15:36:33Z
dc.date.issued2021-11-03
dc.identifier.isbn978-1-4503-9148-1
dc.identifier.urihttps://hdl.handle.net/1721.1/146386
dc.publisherACM|2nd ACM International Conference on AI in Financeen_US
dc.relation.isversionofhttps://doi.org/10.1145/3490354.3494407en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|2nd ACM International Conference on AI in Financeen_US
dc.titleProbabilistic Framework for Modeling Event Shocks to Financial Time Seriesen_US
dc.typeArticleen_US
dc.identifier.citationZhu, Yada, Chen, Wenyu, Zhang, Yang, Gao, Tian and Li, Jianbo. 2021. "Probabilistic Framework for Modeling Event Shocks to Financial Time Series."
dc.contributor.departmentMIT-IBM Watson AI Lab
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-02T22:29:23Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-02T22:29:24Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record