Abstract The credit relationships in an economic system are essentially three: the interbank market, the lending market between banks and firms, the commercial credit among firms. Here the focus is on the first two kinds of credit, using network tools. The graph theory, which is at the basis of network analysis, is used as the natural mathematical environment to investigate the architecture (topology) of these markets. The interbank market is represented as a network where the nodes are banks and the links are the reciprocal exposures. The lending relationships between banks and firms is represented by a bipartite graph where the nodes are of two kinds: banks and firms. From the bipartite graph, the network of cofinancing banks is extracted. We observe the leading role of large Italian banks which form a strong core in the network both in the interbank and in the lending market. The small banks act as lenders and the large as borrowers in the interbank market. Both of them finance firms on the lending market, the large ones financing the most of the large firms, while the small ones the small local firms.
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References
Dorogovtsev SN, Mendes JFF (2003) Evolution of networks from biological nets to the internet and the WWW. Oxford University Press, Oxford
Caldarelli G (2006) Scale-free networks. Complex webs in nature and technology. Oxford University Press
Caldarelli G Kirman A (1999) Beyond the representative agent. Edward Elgar, Cheltenham, UK
Serrano MA, Boguñá M (2003) Topology of the world trade web. Phys Rev E 68:015101
Garlaschelli D, Loffredo MI (2004) Fitness-dependent topological properties of the world trade web. Phys Rev Lett 93:188701
De Masi G, Iori G, Caldarelli G, (2006) A fitness model of the Italian interbank market. Phys Rev E 74:066112
Iori G, De Masi G, Precup O, Gabbi G and Caldarelli G (2007) A network analysis of the Italian overnight money market. J Econ Dynam and Control 32(1):259–278
Garlaschelli D, Battiston S, Castri M, Servedio VDP, Caldarelli G (2005) Th scale free topology of market investments. Physica A 350:491–499
Reichardt J, Bornholdt S (2005) eBay users form stable groups of common interest. arXiv:physics/0503138
Souma W, Fujiwara Y, Aoyama H (2003) Complex networks and economics. Physica A 324(1–2):396–401
Delli Gatti D, Gallegati M, Greenwald B, Russo A, Stiglitz JE (2006) Business fluctuations in a credit-network economy. Physica A 370:68–74
Hartmann P, Manna M, Manzanares A (2001) The microstructure of the euro money market. J Int Money Finance 20:895–948
Barucci E, Impenna C, Reno R (2004) Res Banking Finance 4:321–362
Boss M, Elsinger H, Summer M et al. (2004) Network topology of the interbank market. Quantitative Finance 4:677–684
Ogawa K, Sterken E, Tokutsu I (2007) Why do Japanese firms prefer multiple bank relationship? Some evidence from firm-level data. Econ Syst 31:49–70
Ongena S, Smith DC (2000) What determines the number of bank relationships? Crosscountry evidence. J Financial Intermediation 9(1):26–56
Detragiache E, Garella P, Guiso L (2000) Multiple vs single banking relationships: theory and evidence. J Finance LV(3)
Peltomaki M, Alava M (2006) Correlations in bipartite collaboration networks. J Stat Mech P01010
Sneppen K, Rosvall M, Trusina A (2004) A simple model for self organization of bipartite networks. Europhys Lett 67(3):349–354
Guillaume JL, Latapy M (2004) Bipartite structure of all complex networks. Inf Process Lett 90(5)
Lind PG, Hermann HJ (2007) New approaches to model and study social networks. arXiv:physics/0701107
Stanca L, Arosio S, Bonanno V, Cavalieri C (2005) La struttura finanziaria in Italia: evoluzione del rapporto banche e imprese. Politica Economica
Forestieri G, Tirri V (2002) Rapporto banca-impresa. Struttura del mercato e politiche del prezzo, Ente Luigi Einaudi. Quaderni di Ricerche 31
Annual report on vigilance activites of Bank of Italy, May 2005
The Italian Institute for Statistics provides a classification of Italian firms in micro-firms, small-size, medium-size and large. The classification depends on the numeber of workers: (1) less than 10 workers, micro; (2) between 10 and 50 small; (3) between 50 and 250 medium; (4) more than 250 large
Salza E (2004) Il sistema produttivo e il rapporto banca-impresa. Impresa e Stato 67
De Masi G, Gallegati M (2007) Debt-credit economic networks of banks and firms: the Italian case. Springer, Berlin Heidelberg New York. ISBN: 978-88-470-0664-5
De Masi G, Gallegati M (2007) The Bank-Firm topology in Italy (submitted)
Pastor-Satorras R, and Vespignani A (2001) Epidemic spreading in scale-free networks. Phys Rev Lett 86:3200–3203
Strogatz SH (2001) Exploring complex networks. Nature 410:268
Newman MEJ (2001) Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Phys Rev E 64(1):026118
Colizza V, Flammini A, Serrano MA, Vespignani A (2006) Nat Phys 2:110
Mantegna RN (1999) Hierarchical structure in financial markets. Eur Phys J B 11:193–197
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De Masi, G. (2009). Empirical Analysis of the Architecture of the Interbank Market and Credit Market Using Network Theory. In: Naimzada, A.K., Stefani, S., Torriero, A. (eds) Networks, Topology and Dynamics. Lecture Notes in Economics and Mathematical Systems, vol 613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68409-1_13
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