Early-Warning Model of Financial Crisis: An Empirical Study Based on Listed Companies of Information Technology Industry in China
Based on the two dimensions of financial and non-financial index, this paper constructs a financial crisis early-warning index system of Chinese information technology listing companies from eight aspects: profitability, debt-paying ability, operational capacity, cash flow management, development ca...
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Veröffentlicht in: | Emerging markets finance & trade 2020-05, Vol.56 (7), p.1601-1614 |
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description | Based on the two dimensions of financial and non-financial index, this paper constructs a financial crisis early-warning index system of Chinese information technology listing companies from eight aspects: profitability, debt-paying ability, operational capacity, cash flow management, development capacity, innovation ability, governance structure, and external evaluation. This paper takes the listed companies of information technology industry appearing in Shanghai and Shenzhen stock exchange from 2003 to 2017 as samples for empirical research, and uses factor analysis and Logistic regression analysis to build the financial crisis early-warning model. The result shows that the predictive accuracy of this model is 87.5%, which is of guiding significance for the company to improve its financial management level. |
doi_str_mv | 10.1080/1540496X.2019.1703104 |
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This paper takes the listed companies of information technology industry appearing in Shanghai and Shenzhen stock exchange from 2003 to 2017 as samples for empirical research, and uses factor analysis and Logistic regression analysis to build the financial crisis early-warning model. The result shows that the predictive accuracy of this model is 87.5%, which is of guiding significance for the company to improve its financial management level.</description><identifier>ISSN: 1540-496X</identifier><identifier>EISSN: 1558-0938</identifier><identifier>DOI: 10.1080/1540496X.2019.1703104</identifier><language>eng</language><publisher>Abingdon: Routledge</publisher><subject>early-warning model ; Economic crisis ; Economic models ; Financial crisis ; Indexes ; Information technology ; Public companies</subject><ispartof>Emerging markets finance & trade, 2020-05, Vol.56 (7), p.1601-1614</ispartof><rights>2019 Taylor & Francis Group, LLC 2019</rights><rights>2019 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-a3f960f35f556c23578c9ec3fcd76d9bb9b25e98a02c5fdbd9f7597f0d4101943</citedby><cites>FETCH-LOGICAL-c428t-a3f960f35f556c23578c9ec3fcd76d9bb9b25e98a02c5fdbd9f7597f0d4101943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Xu, Lu</creatorcontrib><creatorcontrib>Qi, Qingzhu</creatorcontrib><creatorcontrib>Sun, Peiding</creatorcontrib><title>Early-Warning Model of Financial Crisis: An Empirical Study Based on Listed Companies of Information Technology Industry in China</title><title>Emerging markets finance & trade</title><description>Based on the two dimensions of financial and non-financial index, this paper constructs a financial crisis early-warning index system of Chinese information technology listing companies from eight aspects: profitability, debt-paying ability, operational capacity, cash flow management, development capacity, innovation ability, governance structure, and external evaluation. This paper takes the listed companies of information technology industry appearing in Shanghai and Shenzhen stock exchange from 2003 to 2017 as samples for empirical research, and uses factor analysis and Logistic regression analysis to build the financial crisis early-warning model. The result shows that the predictive accuracy of this model is 87.5%, which is of guiding significance for the company to improve its financial management level.</description><subject>early-warning model</subject><subject>Economic crisis</subject><subject>Economic models</subject><subject>Financial crisis</subject><subject>Indexes</subject><subject>Information technology</subject><subject>Public companies</subject><issn>1540-496X</issn><issn>1558-0938</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxDAUhosoeH0EIeC6Y9IkbeJKLeMFRlyo6C5kctFIJxmTDtKlb25KFXeucjj5_vPDVxTHCM4QZPAUUQIJr19mFUR8hhqIESRbxR6ilJWQY7Y9zgSWI7Rb7Kf0DiFiGLG94msuYzeUzzJ651_BXdCmA8GCK-elV052oI0uuXQGLjyYr9YuOpWXD_1GD-BSJqNB8GDhUp-nNqzW0juTxgu33oa4kr3L_49GvfnQhdchr_Um9XEAzoP2LbccFjtWdskc_bwHxdPV_LG9KRf317ftxaJUpGJ9KbHlNbSYWkprVWHaMMWNwlbpptZ8ueTLihrOJKwUtXqpuW0obyzUBGUtBB8UJ9PddQwfG5N68R420edKURHEGow5o5miE6ViSCkaK9bRrWQcBIJitC1-bYvRtvixnXNgyhkVvEt_qZo3TUVIVWfkfELcZOYzxE6LXg5diDaOtpPA_7d8Aw8ukeQ</recordid><startdate>20200527</startdate><enddate>20200527</enddate><creator>Xu, Lu</creator><creator>Qi, Qingzhu</creator><creator>Sun, Peiding</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200527</creationdate><title>Early-Warning Model of Financial Crisis: An Empirical Study Based on Listed Companies of Information Technology Industry in China</title><author>Xu, Lu ; Qi, Qingzhu ; Sun, Peiding</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-a3f960f35f556c23578c9ec3fcd76d9bb9b25e98a02c5fdbd9f7597f0d4101943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>early-warning model</topic><topic>Economic crisis</topic><topic>Economic models</topic><topic>Financial crisis</topic><topic>Indexes</topic><topic>Information technology</topic><topic>Public companies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Lu</creatorcontrib><creatorcontrib>Qi, Qingzhu</creatorcontrib><creatorcontrib>Sun, Peiding</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Emerging markets finance & trade</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Lu</au><au>Qi, Qingzhu</au><au>Sun, Peiding</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early-Warning Model of Financial Crisis: An Empirical Study Based on Listed Companies of Information Technology Industry in China</atitle><jtitle>Emerging markets finance & trade</jtitle><date>2020-05-27</date><risdate>2020</risdate><volume>56</volume><issue>7</issue><spage>1601</spage><epage>1614</epage><pages>1601-1614</pages><issn>1540-496X</issn><eissn>1558-0938</eissn><abstract>Based on the two dimensions of financial and non-financial index, this paper constructs a financial crisis early-warning index system of Chinese information technology listing companies from eight aspects: profitability, debt-paying ability, operational capacity, cash flow management, development capacity, innovation ability, governance structure, and external evaluation. 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subjects | early-warning model Economic crisis Economic models Financial crisis Indexes Information technology Public companies |
title | Early-Warning Model of Financial Crisis: An Empirical Study Based on Listed Companies of Information Technology Industry in China |
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