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From Text to Bank Interrelation Maps

Samuel Rönnqvist, Peter Sarlin, From Text to Bank Interrelation Maps. In: Antoaneta Serguieva, Dietmar Maringer, Vasile Palade, Rui Jorge Almeida (Eds.), 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 48–54, IEEE, 2014.

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.

BibTeX entry:

@INPROCEEDINGS{inpRxSa14a,
  title = {From Text to Bank Interrelation Maps},
  booktitle = {2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr)},
  author = {Rönnqvist, Samuel and Sarlin, Peter},
  editor = {Serguieva, Antoaneta and Maringer, Dietmar and Palade, Vasile and Almeida, Rui Jorge},
  publisher = {IEEE},
  pages = {48–54},
  year = {2014},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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