1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13840
DC FieldValueLanguage
dc.contributor.authorNeocleous, Constantinos C.-
dc.contributor.authorAndreou, Andreas S.-
dc.contributor.authorToumpouris, Costas-
dc.contributor.authorSchizas, Christos N.-
dc.date.accessioned2019-05-31T07:15:00Z-
dc.date.available2019-05-31T07:15:00Z-
dc.date.issued2000-01-01-
dc.identifier.citationInternational Joint Conference on Neural Networks (IJCNN'2000); Como, Italy; ; 24 July 2000 through 27 July 2000en_US
dc.descriptionProceedings of the International Joint Conference on Neural Networks, Volume 6en_US
dc.description.abstractA systematic investigation of the effect of different neural network architecture alternatives for predicting the future course of stock prices in the Cyprus Stock Exchange (CSE) market is conducted. This market exhibited an abrupt increase in the general index price during the last year, thus forming a very interesting case for research purposes. The influence of various economic and political factors, from both the local and the international scene, have also been examined. The main conclusion drawn is that the CSE market is governed by unique conditions which when properly modeled can yield successful predictions.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.subjectFinanceen_US
dc.subjectIndustrial economicsen_US
dc.subjectMarketingen_US
dc.subjectMathematical modelsen_US
dc.subjectRisk managementen_US
dc.titleTesting the predictability of the Cyprus Stock Exchange: The case of an emerging marketen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Joint Conference on Neural Networksen_US
dc.identifier.scopus2-s2.0-0033714970en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0033714970en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.volume6en
cut.common.academicyear1999-2000en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-7104-2097-
crisitem.author.parentorgFaculty of Engineering and Technology-
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