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| Content Provider | Springer Nature Link |
|---|---|
| Author | Fricke, Daniel Lux, Thomas |
| Copyright Year | 2015 |
| Abstract | Previous literature on statistical properties of interbank networks has reported various power-laws, particularly for the degree distribution (i.e., the distribution of credit links between institutions). In this paper, we revisit data for the Italian interbank network based on overnight loans recorded on the e-MID trading platform during the period 1999–2010 using both daily and quarterly aggregates. In contrast to previous reports, we find no evidence in favor of a power-law characterizing the degree distribution. Rather, the data are best described by negative Binomial distributions. For quarterly data, Weibull, Gamma, and Exponential distributions tend to provide comparable fits. We find similar results when investigating the distribution of the number of transactions, even though in this case, the tails of the quarterly variables are much fatter. The absence of power-law behavior casts doubts on previous claims that these interbank data fall into the category of scale-free networks. |
| Starting Page | 1463 |
| Ending Page | 1495 |
| Page Count | 33 |
| File Format | |
| ISSN | 03777332 |
| Journal | Empirical Economics |
| Volume Number | 49 |
| Issue Number | 4 |
| e-ISSN | 14358921 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-02-13 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Interbank market Network models Financial network Systemic risk Power-law Econometrics Statistics for Business/Economics/Mathematical Finance/Insurance Economic Theory/Quantitative Economics/Mathematical Methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Social Sciences Economics and Econometrics |
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