This thesis was aimed to evaluate if sentiment related to stocks expressed on the subforum “Wallstreetbets” also reflects the traded volume in the stock market. For this purpose, a collection of comment data from posts filtered under the “Hot” section was issued between the 6th of April 2021 and the 20th of April 2021 on daily basis at 22.00 (GMT+2). The comments were preprocessed to filter out noise, and thereafter comments that contained mentions of stocks were analyzed using VADER, an algorithm for grading sentiment. In total sentiment regarding 13 different stocks were fitted into a mixed effect model with random slopes and intercepts. The results showed a positive correlation between sentiment expressed and the traded volume. This indicates that by studying the forum we can better understand how people invested in stocks make investment decisions, which potentially could lead to a competitive advantage over time.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-177663 |
| Date | January 2021 |
| Creators | Josefsson, Olof |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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