Sökning: "Stock forum"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden Stock forum.
1. Using sentiment analysis on Reddit to predict stock returns
Kandidat-uppsats,Sammanfattning : This thesis explores if sentiment analysis can be utilized to predict meme stock returns by analyzing social media activity on the Reddit forum WallStreetBets. We further look at how meme stocks differ from non-meme stocks in their return predictability on this forum. LÄS MER
2. r/wallstreetbets Influence on the Stock Market
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This research aims to examine how much impact social media channels have on stock returns during unusual market events. We do this by measuring the sentiment and activity on the Reddit forum wallstreetbets (WSB) regarding some of the six most mentioned companies during the first four months of 2021 and connect this to their relative stock returns. LÄS MER
3. Den sociala investesteraren : En kvalitativ studie över hur privatinvesterare söker och värderar aktierelaterad information på sociala medier
Kandidat-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)Sammanfattning : Bakgrund: Det är idag många som aktivt handlar aktier på börsen som ett sätt att få avkastning på sina sparade pengar. En stor del av dessa privatinvesterare är aktiva medlemmar i olika former av forum på sociala medier där de kan ta del aktietips, analyser mm. LÄS MER
4. Investerarnas position : En studie om semantisk analys av forumstrådar på wallstreetbets.
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
5. Comparing machine learning models for predicting stock market volatility using social media sentiment : A comparison of the predictive power of the Artificial Neural Network, Support Vector Machine and Decision Trees models on price volatility using social media sentiment
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : We aimed to explore how the machine learning models Artificial Neural Network (ANN), Support Vector Machine (SVM) and Decision tree (DT) compared in analyzing the effects of investor sentiment (from the forum www.reddit.com/r/wallstreetbets) in conjunction with other key parameters, to predict asset price volatility of major US corporations. LÄS MER