Finding communities in credit networks
In this paper the authors focus on credit connections as a potential source of systemic risk. In particular, they seek to answer the following question: how do we find densely connected subsets of nodes within a credit network? The question is relevant for policy, since these subsets are likely to channel any shock affecting the network. As it turns out, a reliable answer can be obtained with the aid of complex network theory. In particular, the authors show how it is possible to take advantage of the ''community detection'' network literature. The proposed answer entails two subsequent steps. Firstly, the authors verify the hypothesis that the network under study truly has communities. Secondly, they devise a reliable algorithm to find those communities. In order to be sure that a given algorithm works, they test it over a sample of random benchmark networks with known communities. To overcome the limitation of existing benchmarks, the authors introduce a new model and test alternative algorithms, obtaining very good results with an adapted spectral decomposition method. To illustrate this method they provide a community description of the Japanese bank-firm credit network, getting evidence of a strengthening of communities over time and finding support for the well-known Japanese main ''bank'' system. Thus, the authors find comfort both from simulations and from real data on the possibility to apply community detection methods to credit markets. They believe that this method can fruitfully complement the study of contagious defaults. Since network risk depends crucially on community structure, their results suggest that policy maker should identify systemically important communities, i.e. those able extend the initial shock to the entire system.
Volume (Year): 7 (2013)
Issue (Month): ()
|Contact details of provider:|| Postal: Kiellinie 66, D-24105 Kiel|
Phone: +49 431 8814-1
Fax: +49 431 8814528
Web page: http://www.economics-ejournal.org/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stefano Battiston & Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Joseph E. Stiglitz, 2009.
"Liaisons Dangereuses: Increasing Connectivity, Risk Sharing, and Systemic Risk,"
NBER Working Papers
15611, National Bureau of Economic Research, Inc.
- Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
- Lelyveld, Iman van & Liedorp, Franka, 2006.
"Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis,"
806, University Library of Munich, Germany.
- Iman van Lelyveld & Franka Liedorp, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
- Mauro Gallegati, 2011.
"Random Digraphs with Given Expected Degree Sequences: A Model for Economic Networks,"
- Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
- Upper, Christian & Worms, Andreas, 2002.
"Estimating Bilateral Exposures in the German Interbank Market: Is there a Danger of Contagion?,"
Discussion Paper Series 1: Economic Studies
2002,09, Deutsche Bundesbank, Research Centre.
- Upper, Christian & Worms, Andreas, 2004. "Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?," European Economic Review, Elsevier, vol. 48(4), pages 827-849, August.
- Christian Upper & Andreas Worms, 2001. "Estimating bilateral exposures in the German interbank market: is there a danger of contagion?," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 211-229 Bank for International Settlements.
- Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007.
"Network models and financial stability,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 31(6), pages 2033-2060, June.
- Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
- Kavonius, Ilja Kristian & Castrén, Olli, 2009. "Balance Sheet Interlinkages and Macro-Financial Risk Analysis in the Euro Area," Working Paper Series 1124, European Central Bank.
- Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
- Paolo Emilio Mistrulli, 2007.
"Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns,"
Temi di discussione (Economic working papers)
641, Bank of Italy, Economic Research and International Relations Area.
- Mistrulli, Paolo Emilio, 2011. "Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1114-1127, May.
- G. De Masi & Y. Fujiwara & M. Gallegati & B. Greenwald & J. E. Stiglitz, 2009. "An Analysis of the Japanese Credit Network," Papers 0901.2384, arXiv.org, revised Nov 2010.
- Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Systemically important banks: an analysis for the European banking system," International Economics and Economic Policy, Springer, vol. 3(1), pages 73-89, April.
- E. N. Sawardecker & C. A. Amundsen & M. Sales-Pardo & L. A.N. Amaral, 2009. "Comparison of methods for the detection of node group membership in bipartite networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 72(4), pages 671-677, December.
When requesting a correction, please mention this item's handle: RePEc:zbw:ifweej:201317. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.