Systemic Risk on Trade Credit Systems: with The Tangible Interconnectedness

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Using the unique data set of all the transactions with trade credit via 17 major banks in Korea during 2008–2012, we investigate the relationship between the network structure and the contagion of failures in the financial network. Due to the difference of terms between two types of trade credits in Korea, Account Receivable Financing and Supplier Loan, a non-trivial directed network of banks and firms can be formulated. With respect to this trade credit network (TCN), we propose a measure for systemic risk on liquidity channels by calculating the monthly potential risk of liquidity shortage in the worst-case scenarios and show some comparisons with the basic network characteristics. Results claim that the PageRank centralities of individual banks have significant positive impact on the level of systemic risk. More on, degrees of nodes in TCN follows power-law distributions and the network heterogeneity of given month also has significant positive impact on the risk level: that is, the high degree of imbalance in the liquidity channel implies the severe systemic shortage of the liquidity in the worst-case.
Publisher
SPRINGER
Issue Date
2018-02
Language
English
Keywords

AGGREGATE FLUCTUATIONS; FINANCIAL NETWORKS; ORIGINS

Citation

COMPUTATIONAL ECONOMICS, v.51, no.2, pp.211 - 226

ISSN
0927-7099
DOI
10.1007/s10614-016-9632-x
URI
http://hdl.handle.net/10203/240092
Appears in Collection
MG-Journal Papers(저널논문)
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