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dc.creatorChalikias M., Triantafyllou I., Skordoulis M., Kallivokas D., Lalou P.en
dc.date.accessioned2023-01-31T07:42:23Z
dc.date.available2023-01-31T07:42:23Z
dc.date.issued2021
dc.identifier10.24412/1932-2321-2021-264-5-14
dc.identifier.issn19322321
dc.identifier.urihttp://hdl.handle.net/11615/72400
dc.description.abstractStock prices' prediction is fundamental for investment decision-making. In this research, a differential equations model is developed for stock prices prediction. More specifically, a 7×7 differential equations system based on Lanchester's combat models will be used. Data concerning the short-term stock's prices of healthcare firms listed in Athens Stock Exchange will be analyzed in order to develop and evaluate the stocks' prices predictive model. The obtained results revealed the differential equations model potential for stock prices' prediction in the short-term. © 2021 Gnedenko Forum. All Rights Reserved.en
dc.language.isoenen
dc.sourceReliability: Theory and Applicationsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119010283&doi=10.24412%2f1932-2321-2021-264-5-14&partnerID=40&md5=25bf5a49caec5876a38f62441ce7a26f
dc.subjectGnedenko Forumen
dc.titleStocks' data mathematical modeling using differential equations: The case of healthcare companies in athens stock exchangeen
dc.typejournalArticleen


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