Abstract
To lower the risk of a chain reaction of bank failures, active studies of fund transaction networks that are related to systemic risks have been conducted globally, and they are centered in Europe. In this study, we propose a new systemic risk index that reduces the risk of a chain reaction of failures at minimum cost by building a model of interbank fund transaction networks. This model’s structure has as its basis on the Erdos-Renyi network and considers the network’s characteristics. Our verification, using an agent-based modeling method, confirms that financial assistance given to stop chain reaction failures could increase the possibility of a chain reaction and that the systemic risk index can be used as a reference to determine financial institutions that should be given financial assistance.
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References
Acharya, V., Engle, R., Richardson, M.: Capital shortfall: a new approach to ranking and regulating systemic risks. Am. Econ. Rev. 102(3), 59–64 (2012)
Benoit, S., Colliard, J.-E., Hurlin, C., Perignon, C.: Where the risks lie: a survey on systemic risk. HEC Paris Research Paper (2015)
Eisenberg, L., Noe, T.H.: Systemic risk in financial systems. Manag. Sci. 47(2), 236–249 (2001)
Gai, P., Kapadia, S.: Contagion in financial networks. Bank Engl. Q. Bull. 50(2), 124 (2010)
May, R.M., Arinaminpathy, N.: Systemic risk: the dynamics of model banking systems. J. Roy. Soc. Interface/Roy. Soc. 7(46), 823–838 (2010)
Nier, E., Yang, J., Yorulmazer, T., Alentorn, A.: Network models and financial stability. J. Econ. Dyn. Control 31(6), 2033–2060 (2007)
Kei, I., Yutaka, S.: Funds trading network of the call market. Stud. Financ. 27, 47–99 (2008)
Norio, K., Naoki, M.: Complex Network. Kindai Kagaku-Sya, Tokyo (2010)
Cifuentes, R., Ferrucci, G., Shin, H.S.: Liquidity risk and contagion. J. Eur. Econ. Assoc. 3(2–3), 556–566 (2005)
Dias, A., Campos, P., Garrido, P.: An agent based propagation model of bank failures. In: Amblard, F., Miguel, F.J., Blanchet, A., Gaudou, B. (eds.) Advances in Artificial Economics. LNEMS, vol. 676, pp. 119–130. Springer, Cham (2015). doi:10.1007/978-3-319-09578-3_10
Hyun, S.S.: Risk and Liquidity. Oxford University Press Inc., Oxford (2010)
Montagna, M., Lux, T.: Hubs and resilience: towards more realistic models of the interbank markets. Some Recent Developments, Banking Integration and Financial Crisis (2015)
Takamasa, K., Masaaki, K., Takashi, Y., Hiroshi, T., Takao, T.: Analysis of the influences of central bank financing on operative collapses of financial institutions using agent-based simulation. In: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), pp. 95–104. IEEE (2016)
Maeno, Y., Morinaga, S., Matsushima, H., Amaya, K.: Risk of the collapse of a bank credit network. JSAI 27(6), 338–345 (2012)
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Hashimoto, M., Kurahashi, S. (2017). The Research of Bankruptcies’ Succession by Systemic Risk Index. In: Kurahashi, S., Ohta, Y., Arai, S., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2016. Lecture Notes in Computer Science(), vol 10247. Springer, Cham. https://doi.org/10.1007/978-3-319-61572-1_15
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DOI: https://doi.org/10.1007/978-3-319-61572-1_15
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