文献类型：会议论文

英文题名：STUDY ON EARLY WARNING OF ENTERPRISE FINANCIAL DISTRESS - BASED ON PARTIAL LEAST-SQUARES LOGISTIC REGRESSION

作者：Xu, Kun[1];Zhao, Qilan[2];Bao, Xinzhong[1]

第一作者：徐鲲

通讯作者：Xu, K[1]

机构：[1]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China;[2]Beijing Jiaotong Univ, Econ & Management Sch, Beijing 100044, Peoples R China

第一机构：北京联合大学管理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

会议论文集：9th International Conference of Organizational Innovation (ICOI)

会议日期：2015

会议地点：Yogyakarta, INDONESIA

语种：英文

外文关键词：early warning; financial distress; partial least-squares logistic regression; logistic model

摘要：Establishment of an effective early warning system can make the company operators make relevant decisions as soon as possible when finding the crisis, improve the operating results and financial condition of enterprise, and can also make investors avoid or reduce investment losses. This paper applies the partial least-squares logistic regression model for the analysis on early warning of enterprise financial distress in consideration of quite sensitive characteristics of common logistic model for the multicollinearity. The data of real estate industry listed companies in China are used to compare and analyze the early warning of financial distress by using the logistic model and the partial least- squares logistic model, respectively. The study results show that compared with the common logistic regression model, the applicability of partial least- squares logistic model is stronger due to its eliminating multicollinearity problem among various early warning indicators.