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Conference Paper: A Comparative Study of A Recurrent Neural Network and Support Vector Machine for Predicting Price Movements of Stocks of Different Volatilities

TitleA Comparative Study of A Recurrent Neural Network and Support Vector Machine for Predicting Price Movements of Stocks of Different Volatilities
Authors
Li, ZTam, VWL
Issue Date2017
PublisherIEEE.
Citation
IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 27 November-1 December 2017 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/247837

 

DC FieldValueLanguage
dc.contributor.authorLi, Z-
dc.contributor.authorTam, VWL-
dc.date.accessioned2017-10-18T08:33:27Z-
dc.date.available2017-10-18T08:33:27Z-
dc.date.issued2017-
dc.identifier.citationIEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 27 November-1 December 2017-
dc.identifier.urihttp://hdl.handle.net/10722/247837-
dc.languageeng-
dc.publisherIEEE. -
dc.relation.ispartofIEEE Symposium Series on Computational Intelligence (SSCI)-
dc.rightsIEEE Symposium Series on Computational Intelligence (SSCI). Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. -
dc.titleA Comparative Study of A Recurrent Neural Network and Support Vector Machine for Predicting Price Movements of Stocks of Different Volatilities-
dc.typeConference_Paper-
dc.identifier.emailTam, VWL: vtam@hkucc.hku.hk-
dc.identifier.authorityTam, VWL=rp00173-
dc.identifier.hkuros282553-
dc.publisher.placeHonolulu, HI-

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