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Towards a Proper Assignment of Systemic Risk: The Combined Roles of Network Topology and Shock Characteristics

Overview of attention for article published in PLOS ONE, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
11 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
2 CiteULike
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Title
Towards a Proper Assignment of Systemic Risk: The Combined Roles of Network Topology and Shock Characteristics
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077526
Pubmed ID
Authors

Lasse Loepfe, Antonio Cabrales, Angel Sánchez

Abstract

The 2007-2008 financial crisis solidified the consensus among policymakers that a macro-prudential approach to regulation and supervision should be adopted. The currently preferred policy option is the regulation of capital requirements, with the main focus on combating procyclicality and on identifying the banks that have a high systemic importance, those that are "too big to fail". Here we argue that the concept of systemic risk should include the analysis of the system as a whole and we explore systematically the most important properties for policy purposes of networks topology on resistance to shocks. In a thorough study going from analytical models to empirical data, we show two sharp transitions from safe to risky regimes: 1) diversification becomes harmful with just a small fraction (~2%) of the shocks sampled from a fat tailed shock distributions and 2) when large shocks are present a critical link density exists where an effective giant cluster forms and most firms become vulnerable. This threshold depends on the network topology, especially on modularity. Firm size heterogeneity has important but diverse effects that are heavily dependent on shock characteristics. Similarly, degree heterogeneity increases vulnerability only when shocks are directed at the most connected firms. Furthermore, by studying the structure of the core of the transnational corporation network from real data, we show that its stability could be clearly increased by removing some of the links with highest centrality betweenness. Our results provide a novel insight and arguments for policy makers to focus surveillance on the connections between firms, in addition to capital requirements directed at the nodes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Belgium 1 2%
Switzerland 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 6 14%
Professor 6 14%
Student > Postgraduate 4 9%
Professor > Associate Professor 4 9%
Other 10 23%
Unknown 7 16%
Readers by discipline Count As %
Economics, Econometrics and Finance 11 25%
Social Sciences 6 14%
Physics and Astronomy 6 14%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Other 9 20%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2016.
All research outputs
#662,465
of 23,245,494 outputs
Outputs from PLOS ONE
#9,241
of 198,655 outputs
Outputs of similar age
#6,170
of 212,940 outputs
Outputs of similar age from PLOS ONE
#270
of 5,150 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 212,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 5,150 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.