本文選題：服務(wù)業(yè) + 小企業(yè)�。� 參考：《管理現(xiàn)代化》2017年04期

【摘要】：以1077筆服務(wù)業(yè)小企業(yè)的貸款數(shù)據(jù)為實證樣本,通過Fisher score值遴選違約鑒別力強的指標(biāo),匹配系數(shù)—Fisher score值相結(jié)合刪除信息冗余指標(biāo),基于指標(biāo)的違約鑒別能力Fisher score值對指標(biāo)賦權(quán),建立了服務(wù)業(yè)小企業(yè)債信評價體系。實證表明:速動比率、抵質(zhì)押擔(dān)保因素等25個指標(biāo)對服務(wù)業(yè)小企業(yè)債信評價具有顯著的違約鑒別力。
[Abstract]:Taking the loan data of 1077 small enterprises in service industry as an empirical sample, the author selects the index with strong discriminant ability of default through score value, combines the matching coefficient -Fisher score value with deleting the redundant index of information, and gives weight to the index based on the score value of default identification ability of index. A credit evaluation system for small service enterprises was established. The empirical results show that 25 indexes, such as quick ratio and collateralized guarantee factor, have significant ability to judge the credit of small enterprises in service industry.
【作者單位】： 大連理工大學(xué)管理與經(jīng)濟學(xué)部;
【基金】：國家自然科學(xué)基金項目(71171031;71471027) 國家社科基金項目(16BTJ017)
【分類號】：F719;F832.4
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本文編號：2003946