This diploma thesis deals with a question of identification of causality between sentiment on social network Twitter and a price of specific, publicly traded stocks on New York Stock Exchange (NYSE). By a multi criteria analysis were chosen stocks of Microsoft Corporation and Apple Inc. There is constructed a model, which identifies authors messages on Twitter -- tweets and sentiment which they carry in relation to companies. Success of this model is examined by both qualitative and quantitative analysis. The thesis is trying to provide a solution to current and potential investors and management of the companies in order to take better decisions in allocating funds and managing the companies.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:190120 |
| Date | January 2015 |
| Creators | Fiala, Vojtěch |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0021 seconds