{"title":"Social media discussions anticipates financial market volumes","authors":"Giulio Vicentini , Alessandro Nucci , Guido Caldarelli , Elisa Omodei","doi":"10.1016/j.physa.2025.130388","DOIUrl":null,"url":null,"abstract":"<div><div>The role of social media platforms, where opinions form and are shared, in stock market movements is becoming increasingly important. Several past studies have demonstrated the predictive power of web-based information analysis on investor sentiment and opinion. This paper analyzes the present relationship between discussions on X (previously known as Twitter) and market movements. Additionally, we contribute to the existing body of knowledge by introducing novel approaches grounded in information theory. Through empirical analysis and advanced statistical techniques, our study sheds light on the continued influence of social media sentiment on stock price returns, providing valuable insights for investors and market analysts navigating the complexities of modern financial markets.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"661 ","pages":"Article 130388"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125000408","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The role of social media platforms, where opinions form and are shared, in stock market movements is becoming increasingly important. Several past studies have demonstrated the predictive power of web-based information analysis on investor sentiment and opinion. This paper analyzes the present relationship between discussions on X (previously known as Twitter) and market movements. Additionally, we contribute to the existing body of knowledge by introducing novel approaches grounded in information theory. Through empirical analysis and advanced statistical techniques, our study sheds light on the continued influence of social media sentiment on stock price returns, providing valuable insights for investors and market analysts navigating the complexities of modern financial markets.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.