Loading…

Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan

We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph...

Full description

Saved in:
Bibliographic Details
Published in:Economics. The open-access, open-assessment e-journal open-assessment e-journal, 2009-12, Vol.3 (2009-7), p.1-18
Main Authors: Iyetomi, Hiroshi, Ikeda, Yuichi, Aoyama, Hideaki, Fujiwara, Yoshi, Souma, Wataru
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3
cites cdi_FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3
container_end_page 18
container_issue 2009-7
container_start_page 1
container_title Economics. The open-access, open-assessment e-journal
container_volume 3
creator Iyetomi, Hiroshi
Ikeda, Yuichi
Aoyama, Hideaki
Fujiwara, Yoshi
Souma, Wataru
description We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph where edges correspond to the relationships and weights refer to the amounts of loans. Reduction in the supply of credit affects firms as debtor, and failure of a firm influences banks as creditor. To quantify the dependency and influence between banks and firms, we propose a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined by the weight of the credit network. We found that a few largest eigenvalues and corresponding eigenvectors are significant by using a null hypothesis of random bipartite graphs, and that the scores can quantitatively describe the stability or fragility of the credit network during the 25 years.
doi_str_mv 10.5018/economics-ejournal.ja.2009-7
format article
fullrecord <record><control><sourceid>walterdegruyter_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_97265cb97f0641e4a7f71f096f5884d6</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_97265cb97f0641e4a7f71f096f5884d6</doaj_id><sourcerecordid>10_5018_economics_ejournal_ja_2009_731</sourcerecordid><originalsourceid>FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3</originalsourceid><addsrcrecordid>eNqNkDFv2zAQhYWiBZqm_QcdOHSVS1ISKQJdWqNuEhjpkGTpQpzIoyNFFo0jjSD_vrKdBhkLHPAeDu99wyuKL4IvGi7ar-jiFLe9SyUOcU8TjIsBFpJzU-o3xZloVV0qXsu3r_z74kNKA-dKGKnPij83mfYu7wkZTJ7d4nYXCUa2vIdpgywGlu-RLQl9n9k15sdID6ybFXFiP2B6SMfeGmhOr3raJtZP7Ap2MH0s3gUYE3561vPibvXzdnlRrn__ulx-X5euNm0uFXBwHJ2vajGfCrJVxggZdIXgOxBV43UQulLGK62w7UKNVQeV9CiEwuq8uDxxfYTB7qjfAj3ZCL09PiJtLFDu3YjWaKka1xkduKoF1qCDFoEbFZq2rb2aWd9OLEcxJcLwwhPcHja3L5vbf5vbAexhc6vn-upUf4QxI3nc0P5pNvY5mv4PI2bQ5xPokOvTMZ5yJCt1I3X1F2f3n2M</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan</title><source>EconLit s plnými texty</source><source>Business Source Ultimate</source><creator>Iyetomi, Hiroshi ; Ikeda, Yuichi ; Aoyama, Hideaki ; Fujiwara, Yoshi ; Souma, Wataru</creator><creatorcontrib>Iyetomi, Hiroshi ; Ikeda, Yuichi ; Aoyama, Hideaki ; Fujiwara, Yoshi ; Souma, Wataru</creatorcontrib><description>We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph where edges correspond to the relationships and weights refer to the amounts of loans. Reduction in the supply of credit affects firms as debtor, and failure of a firm influences banks as creditor. To quantify the dependency and influence between banks and firms, we propose a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined by the weight of the credit network. We found that a few largest eigenvalues and corresponding eigenvectors are significant by using a null hypothesis of random bipartite graphs, and that the scores can quantitatively describe the stability or fragility of the credit network during the 25 years.</description><identifier>ISSN: 1864-6042</identifier><identifier>EISSN: 1864-6042</identifier><identifier>DOI: 10.5018/economics-ejournal.ja.2009-7</identifier><language>eng</language><publisher>Kiel: Kiel Institute for the World Economy (IfW)</publisher><subject>Bank ; Banking ; bipartite network ; Business Network ; credit topology ; E51 ; E52 ; G21 ; Graphentheorie ; Japan ; Kredit ; Lieferanten-Kunden-Beziehung ; systemic risk</subject><ispartof>Economics. The open-access, open-assessment e-journal, 2009-12, Vol.3 (2009-7), p.1-18</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3</citedby><cites>FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Iyetomi, Hiroshi</creatorcontrib><creatorcontrib>Ikeda, Yuichi</creatorcontrib><creatorcontrib>Aoyama, Hideaki</creatorcontrib><creatorcontrib>Fujiwara, Yoshi</creatorcontrib><creatorcontrib>Souma, Wataru</creatorcontrib><title>Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan</title><title>Economics. The open-access, open-assessment e-journal</title><description>We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph where edges correspond to the relationships and weights refer to the amounts of loans. Reduction in the supply of credit affects firms as debtor, and failure of a firm influences banks as creditor. To quantify the dependency and influence between banks and firms, we propose a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined by the weight of the credit network. We found that a few largest eigenvalues and corresponding eigenvectors are significant by using a null hypothesis of random bipartite graphs, and that the scores can quantitatively describe the stability or fragility of the credit network during the 25 years.</description><subject>Bank</subject><subject>Banking</subject><subject>bipartite network</subject><subject>Business Network</subject><subject>credit topology</subject><subject>E51</subject><subject>E52</subject><subject>G21</subject><subject>Graphentheorie</subject><subject>Japan</subject><subject>Kredit</subject><subject>Lieferanten-Kunden-Beziehung</subject><subject>systemic risk</subject><issn>1864-6042</issn><issn>1864-6042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqNkDFv2zAQhYWiBZqm_QcdOHSVS1ISKQJdWqNuEhjpkGTpQpzIoyNFFo0jjSD_vrKdBhkLHPAeDu99wyuKL4IvGi7ar-jiFLe9SyUOcU8TjIsBFpJzU-o3xZloVV0qXsu3r_z74kNKA-dKGKnPij83mfYu7wkZTJ7d4nYXCUa2vIdpgywGlu-RLQl9n9k15sdID6ybFXFiP2B6SMfeGmhOr3raJtZP7Ap2MH0s3gUYE3561vPibvXzdnlRrn__ulx-X5euNm0uFXBwHJ2vajGfCrJVxggZdIXgOxBV43UQulLGK62w7UKNVQeV9CiEwuq8uDxxfYTB7qjfAj3ZCL09PiJtLFDu3YjWaKka1xkduKoF1qCDFoEbFZq2rb2aWd9OLEcxJcLwwhPcHja3L5vbf5vbAexhc6vn-upUf4QxI3nc0P5pNvY5mv4PI2bQ5xPokOvTMZ5yJCt1I3X1F2f3n2M</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Iyetomi, Hiroshi</creator><creator>Ikeda, Yuichi</creator><creator>Aoyama, Hideaki</creator><creator>Fujiwara, Yoshi</creator><creator>Souma, Wataru</creator><general>Kiel Institute for the World Economy (IfW)</general><general>Sciendo</general><general>De Gruyter</general><scope>OT2</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20091201</creationdate><title>Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan</title><author>Iyetomi, Hiroshi ; Ikeda, Yuichi ; Aoyama, Hideaki ; Fujiwara, Yoshi ; Souma, Wataru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Bank</topic><topic>Banking</topic><topic>bipartite network</topic><topic>Business Network</topic><topic>credit topology</topic><topic>E51</topic><topic>E52</topic><topic>G21</topic><topic>Graphentheorie</topic><topic>Japan</topic><topic>Kredit</topic><topic>Lieferanten-Kunden-Beziehung</topic><topic>systemic risk</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iyetomi, Hiroshi</creatorcontrib><creatorcontrib>Ikeda, Yuichi</creatorcontrib><creatorcontrib>Aoyama, Hideaki</creatorcontrib><creatorcontrib>Fujiwara, Yoshi</creatorcontrib><creatorcontrib>Souma, Wataru</creatorcontrib><collection>EconStor</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Economics. The open-access, open-assessment e-journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iyetomi, Hiroshi</au><au>Ikeda, Yuichi</au><au>Aoyama, Hideaki</au><au>Fujiwara, Yoshi</au><au>Souma, Wataru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan</atitle><jtitle>Economics. The open-access, open-assessment e-journal</jtitle><date>2009-12-01</date><risdate>2009</risdate><volume>3</volume><issue>2009-7</issue><spage>1</spage><epage>18</epage><pages>1-18</pages><issn>1864-6042</issn><eissn>1864-6042</eissn><abstract>We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph where edges correspond to the relationships and weights refer to the amounts of loans. Reduction in the supply of credit affects firms as debtor, and failure of a firm influences banks as creditor. To quantify the dependency and influence between banks and firms, we propose a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined by the weight of the credit network. We found that a few largest eigenvalues and corresponding eigenvectors are significant by using a null hypothesis of random bipartite graphs, and that the scores can quantitatively describe the stability or fragility of the credit network during the 25 years.</abstract><cop>Kiel</cop><pub>Kiel Institute for the World Economy (IfW)</pub><doi>10.5018/economics-ejournal.ja.2009-7</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1864-6042
ispartof Economics. The open-access, open-assessment e-journal, 2009-12, Vol.3 (2009-7), p.1-18
issn 1864-6042
1864-6042
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_97265cb97f0641e4a7f71f096f5884d6
source EconLit s plnými texty; Business Source Ultimate
subjects Bank
Banking
bipartite network
Business Network
credit topology
E51
E52
G21
Graphentheorie
Japan
Kredit
Lieferanten-Kunden-Beziehung
systemic risk
title Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T10%3A34%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-walterdegruyter_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Structure%20and%20Temporal%20Change%20of%20the%20Credit%20Network%20between%20Banks%20and%20Large%20Firms%20in%20Japan&rft.jtitle=Economics.%20The%20open-access,%20open-assessment%20e-journal&rft.au=Iyetomi,%20Hiroshi&rft.date=2009-12-01&rft.volume=3&rft.issue=2009-7&rft.spage=1&rft.epage=18&rft.pages=1-18&rft.issn=1864-6042&rft.eissn=1864-6042&rft_id=info:doi/10.5018/economics-ejournal.ja.2009-7&rft_dat=%3Cwalterdegruyter_doaj_%3E10_5018_economics_ejournal_ja_2009_731%3C/walterdegruyter_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c498t-6a0ac0ecd3413416f2869912f73eadba135d7f17369d676e8bf4e3ba32de116e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true