Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59607

You are What You Say: The Influence of Company Tweets on Its Stock Performance

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dc.contributor.author Osatuyi, Babajide
dc.contributor.author Yoosefi, Behrooz
dc.date.accessioned 2019-01-02T23:55:24Z
dc.date.available 2019-01-02T23:55:24Z
dc.date.issued 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59607
dc.description.abstract This paper investigates the relationship between Twitter metrics and stock price performance of a company. The objective of this research is to contribute to the area of research that seeks to uncover the business value of social media platforms. Building on prior research, this paper identifies two categories of metrics that have been used to examine the relationship between Twitter metrics and stock performance of a company, namely traffic and motivation. While traffic is measured as volume of tweets, motivation is measured from two perspectives; polarity (positive, neutral, and negative) and emotion (positive emotion and negative emotion). Unstructured data from Twitter and Yahoo finance Website about Amazon was gathered to test the study hypothesis. A combination of machine learning techniques for text analytics and hierarchical regression analysis was used to analyze the data. Results indicate that emotional motivation expressed in tweets sent out by a company positively influences the company’s stock performance.
dc.format.extent 9 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Machine Learning and Network Analytics in Finance
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject emotion, organizational performance, polarity, sentiments, stock prices
dc.title You are What You Say: The Influence of Company Tweets on Its Stock Performance
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.202
Appears in Collections: Machine Learning and Network Analytics in Finance


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