Name
Abstract | ||
|---|---|---|
In the wake of the ongoing global financial crisis, interdependencies among banks have come into focus in trying to assess systemic risk. To date, such analysis has largely been based on numerical data. By contrast, this study attempts to gain further insight into bank interconnections by tapping into financial discussion. Co-occurrences of bank names are turned into a network, which can be visualized and analyzed quantitatively, in order to illustrate characteristics of individual banks and the network as a whole. The approach also highlights temporal dynamics of the network, e.g. how global shifts in network structure coincide with severe crisis episodes. The usage of textual data holds an additional advantage in the possibility of gaining a more qualitative understanding of an observed interrelation, through its context. We illustrate our approach using a case study on Finnish banks and financial institutions, based on discussion in 3.9M online posts spanning 9 years. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CIFEr.2014.6924053 | Computational Intelligence for Financial Engineering & Economics |
Keywords | DocType | Volume |
bank data processing,data visualisation,text analysis,Finnish banks,Finnish financial institutions,bank interdependency,bank interrelation maps,bank names co-occurrences,data analysis,data visualization,financial discussion,global financial crisis,systemic risk assessment,textual data,bank interrelations,co-occurrences,network analysis,relation extraction,systemic risk,text mining | Journal | abs/1306.3856 |
ISSN | Citations | PageRank |
2380-8454 | 1 | 0.37 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Rönnqvist | 1 | 27 | 5.55 |
| Peter Sarlin | 2 | 156 | 18.44 |