Name
Abstract | ||
|---|---|---|
Online social networks offer a new way to investigate financial marketsu0027 dynamics by enabling the large-scale analysis of investorsu0027 collective behavior. We provide empirical evidence that suggests social media and stock markets have a nonlinear causal relationship. We take advantage of an extensive data set composed of social media messages related to DJIA index components. By using information-theoretic measures to cope for possible nonlinear causal coupling between social media and stock markets systems, we point out stunning differences in the results with respect to linear coupling. Two main conclusions are drawn: First, social media significant causality on stocksu0027 returns are purely nonlinear in most cases; Second, social media dominates the directional coupling with stock market, an effect not observable within linear modeling. Results also serve as empirical guidance on model adequacy in the investigation of sociotechnical and financial systems. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Statistical Finance | Econometrics,Collective behavior,Financial economics,Economics,Causality,Social network,Social media,Empirical evidence,Stock (geology),Financial market,Stock market |
DocType | Volume | Citations |
Journal | abs/1601.04535 | 1 |
PageRank | References | Authors |
0.35 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thársis T. P. Souza | 1 | 1 | 0.68 |
| Tomaso Aste | 2 | 57 | 11.62 |