Abstract
The mechanism of fund transaction conducted between banks is comprised of a network based on multiple banks. The suspension of bank funding directly causes a loss of depositor settlement methods. This subject attracts much attention from the nation because of the possibility of an increase in the national burden if public funds are injected to banks in the event of a financial crisis. Although many researchers have attempted to understand the propagation mechanisms of the crises in Systemic risk, the mechanism is not yet clearly understood. This research proposes a new agent-based modeling method for systemic risk based on a model that uses simple balance sheets and regulations of the financial institution. The model considers liquidity effects on interbank networks and endogenous risks. Using this model, this research validates the effect of bankruptcy in the case of the structure of the financial group in regional banks. In Japan, cases of financial groups, which is a kind of merger, are increasing recently in regional banks in particular, and it is significant to clarify the effect of the resilience of bankruptcy. In this research, our aim is to evaluate the effect of loss-absorbing mechanism that can be taken when banks constituting the financial group falls into a crisis of bankruptcy. And we made it clear that the selection of the banks that make up the financial group has an impact on the loss propagation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Berger Allen N, Demsetz Rebecca S, Strahan PE (1999) The consolidation of the financial services industry: causes, consequences, and implications for the future. J Bank Financ 23(2–4):135–194
Chen N, Liu X, Yao DD (2016) An optimization view of financial systemic risk modeling: network effect and market liquidity effect. Oper Res
Cifuentes R, Ferrucci G, Shin HS (2005) Liquidity risk and contagion. J Eur Econ Assoc 3(2–3):556–566
Diebold FX, Yilmaz K (2014) On the network topology of variance decompositions: measuring the connectedness of financial firms. J Econom 182(1):119–134
Eisenberg L, Noe TH (2001) Systemic risk in financial systems. Manag Sci 47(2):236–249
Espinosa-Vega MA, Sole JA (2010) Cross-border financial surveillance: a network perspective. IMF Working Papers, p 1–27
Hashimoto M, Kurahashi S (2017) Management integration impact analysis of financial institutions based on a fund transaction network model. In: Social simulation conference
Imakubo K, Soejima Y (2008) Funds trading network of the call market. Stud Financ 27:47–99
Konno N, Masuda N (2010) Complex network. Kindai Kagaku-sya
Kuroda H (2017) Building a more robust financial system: where are we after the global financial crisis and where do we go from here? In: Speech at the DICJ-IADI international conference
Mattia M, Thomas L (2015) Hubs and resilience: towards more realistic models of the interbank markets. Some recent developments, Banking integration and financial crisis
May RM, Arinaminpathy N (2010) Systemic risk: the dynamics of model banking systems. J R Soc Interface R Soc 7(46):823–838
Nier E, Yang J, Yorulmazer T, Alentorn A (2007) Network models and financial stability. J Econ Dyn Control 31(6):2033–2060
Prasanna G, Sujit K (2010) Contagion in financial networks. Bank Engl Q Bull 50(2):124
Shin HS (2015) Risk and liquidity. Oxford university Press Inc
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Hashimoto, M., Kurahashi, S. (2019). Research on Loss Absorption of Financial Group. In: Chakrabarti, A., Pichl, L., Kaizoji, T. (eds) Network Theory and Agent-Based Modeling in Economics and Finance. Springer, Singapore. https://doi.org/10.1007/978-981-13-8319-9_18
Download citation
DOI: https://doi.org/10.1007/978-981-13-8319-9_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8318-2
Online ISBN: 978-981-13-8319-9
eBook Packages: Economics and FinanceEconomics and Finance (R0)