An Interbank Market Network Model based on Bank Credit Lending Preference

Tao Xu, Jianmin He, Shouwei Li

2016

Abstract

An interbank market network model based on bank credit lending preference is built in this paper to explain the formation mechanism of interbank market network structure. As well, we analyze the impact of credit lending risk preference on network topology structure, which includes degree distribution, network clustering coefficient, average shortest path length and network efficiency. Simulation results demonstrate that the accumulation degree follows dual power law distribution with credit lending risk preference parameter value equal or greater than 1, while the accumulation degree follows power law distribution with credit lending risk preference parameter value smaller than 1. The interbank market network shows small world topology property. With the increasing of bank credit lending risk preference, the average shortest path length decreases but network efficiency improves, which enhances the stability of the network.

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Paper Citation


in Harvard Style

Xu T., He J. and Li S. (2016). An Interbank Market Network Model based on Bank Credit Lending Preference . In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-171-7, pages 157-162. DOI: 10.5220/0005734201570162


in Bibtex Style

@conference{icores16,
author={Tao Xu and Jianmin He and Shouwei Li},
title={An Interbank Market Network Model based on Bank Credit Lending Preference},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2016},
pages={157-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005734201570162},
isbn={978-989-758-171-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - An Interbank Market Network Model based on Bank Credit Lending Preference
SN - 978-989-758-171-7
AU - Xu T.
AU - He J.
AU - Li S.
PY - 2016
SP - 157
EP - 162
DO - 10.5220/0005734201570162