Analyzing market performance via social media: a case study of a banking industry crisis

作者：Jiang CuiQing; Liang Kun^*; Chen Hsinchun; Ding Yong

来源：Science China Information Sciences, 2014, 57(5): 052102.

DOI：10.1007/s11432-013-4860-3

• social media
• market performance
• stakeholder theory
• authorship analysis technique
• topic model

Analyzing market performance via social media has attracted a great deal of attention in the finance and machine-learning disciplines. However, the vast majority of research does not consider the enormous influence a crisis has on social media that further affects the relationship between social media and the stock market. This article aims to address these challenges by proposing a multistage dynamic analysis framework. In this framework, we use an authorship analysis technique and topic model method to identify stakeholder groups and topics related to a special firm. We analyze the activities of stakeholder groups and topics in different periods of a crisis to evaluate the crisis's influence on various social media parameters. Then, we construct a stock regression model in each stage of crisis to analyze the relationships of changes among stakeholder groups/topics and stock behavior during a crisis. Finally, we discuss some interesting and significant results, which show that a crisis affects social media discussion topics and that different stakeholder groups/topics have distinct effects on stock market predictions during each stage of a crisis.

• 出版日期2014-5
• 单位合肥工业大学