摘要
以2010-2018年的房地产上市公司为研究对象,选取10家财务危机公司和30家财务健康公司,共计40家样本数据。结合主成分分析建立财务变量logistic模型。研究结果发现,企业盈利能力、成长能力、偿债能力能很好地显著区分房地产财务健康与财务危机。在此基础纳入非财务指标,形成logistic综合模型。对比发现,综合模型辨别房地产企业财务危机的能力提高了30%,效果更好。有效地为房地产上市公司利益相关者提供财务风险警示及参考。
Taking the listed real estate companies from 2010 to 2018 as the research object,10 financial crisis companies and 30 financial health companies are selected,40 sample data in total.Principal component analysis is combined to establish a financial variable logistic model.The research results show that profitability,growth ability,and solvency in a company can significantly distinguish between financial health and financial risk.In this foundation,non-financial indicators are established to form a logistic comprehensive model.The comparison discovers that the ability of the comprehensive model to identify the financial crisis of real estate enterprises has increased by 30%with a better effect.The paper effectively provides financial risk warnings and provides reference for stakeholders of the listed real estate companies.
作者
田珅
陈文熙
TIAN Shen;CHEN Wenxi(School of Management,Shenyang Jianzhu University,Shenyang 110168,China)
出处
《沈阳建筑大学学报（社会科学版）》
2019年第4期376-381,共6页
Journal of Shenyang Jianzhu University:Social Science
基金
辽宁省社会科学规划基金项目(L17BJY029)。
关键词
房地产企业
财务预警
主成分分析
LOGISTIC模型
real estate enterprise
financial early warning
principal component analysis
logistic model
