Psychology of Financial Markets based on Social Networks Data

The main purpose of this research is to investigate the impact of users' emotions in social networks on financial market trends. The results show that the emotions of users in social networks play an important role as one of the key factors in the movement of financial markets. For this purpose, first a brief introduction of sentiment analysis has been made and then the method and model used in this research for sentiment analysis have been examined. In the follow-ing, the impact of users' feelings on the Tehran Stock Exchange market has been investigated and evaluated. By using statistical models, the relationship between the intensity of users' emotions and the trend of financial markets has been in-vestigated, and finally, a method to improve the accuracy of the model has been presented.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-10
DOI
https://doi.org/10.5281/zenodo.15322813
Primary Topic
Stock Market Forecasting Methods
Type
article
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0.00
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article

Psychology of Financial Markets based on Social Networks Data

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

Psychology of Financial Markets based on Social Networks Data

article en

Abstract

The main purpose of this research is to investigate the impact of users' emotions in social networks on financial market trends. The results show that the emotions of users in social networks play an important role as one of the key factors in the movement of financial markets. For this purpose, first a brief introduction of sentiment analysis has been made and then the method and model used in this research for sentiment analysis have been examined. In the follow-ing, the impact of users' feelings on the Tehran Stock Exchange market has been investigated and evaluated. By using statistical models, the relationship between the intensity of users' emotions and the trend of financial markets has been in-vestigated, and finally, a method to improve the accuracy of the model has been presented.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Stock Market Forecasting Methods
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