Mason Archival Repository Service

Data Analysis for Prediction of Stock Market Performance

Show simple item record

dc.contributor.author Nakano, Fernando
dc.contributor.author Pilli, Nanditha
dc.contributor.author Cirtain, Melissa
dc.contributor.author Turner, Gabrila
dc.date.accessioned 2022-01-19T18:57:36Z
dc.date.available 2022-01-19T18:57:36Z
dc.date.issued 2021-04-28
dc.identifier.uri http://hdl.handle.net/1920/12205
dc.description.abstract If you have followed the news in US between January and February in 2021, an event occurred on the stock market: a group of people on a subreddit forum WallStreetBets a longstanding subreddit that had over 3.5M Reddit users that discusses highly speculative trading ideas and strategies has caused a huge disruption on the market. On Sep 19, 2020 a member of the group posted a case where the company GameStop (GME), that primarily sells video games and consoles, has been in decline due to the shift from physical media to digital paired with the COVID-19 situation. en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject machine learning en_US
dc.subject finance en_US
dc.subject stocks en_US
dc.title Data Analysis for Prediction of Stock Market Performance en_US
dc.type Working Paper en_US


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

Search MARS


Browse

My Account

Statistics