摘要
以我国农业上市公司为研究对象,从财务风险测控出发,利用主成分分析法建立判断上市公司是否发生财务风险的预警模型——T模型,针对目前以"ST"作为财务困境企业的分界点不能准确判断出企业是否有足够的现金流量以及能否真正避免财务危机这一现状,结合各项现金类指标,可从企业现金流量的角度判断企业是否存在财务困境,能否偿还各类到期利息及债务,为企业提供一个更为准确的预测和控制财务危机的工具。
This paper, taking agricultural listed companies as an object and starting with measure and control of financial risks, uses the Principal Components Analysis to build a preventive model -T Model to judge whether listed companies havefinancial risks or not. This model, targeting at a situation in which “ST” , as the boundary of financially difficult enterprises can not precisely judge whether enterprises have sufficient cash flow to avoid financial crisis, combines every cash indicators so as to judge whether enterprises have financial difficulties in terms of cash flow, whether they can refund all kinds of interests and debts, and become a tool to preciselv predict and control financial crisis.
出处
《贵州财经学院学报》
CSSCI
2008年第5期67-70,共4页
Journal of Guizhou College of Finance and Economics
基金
湖南省社会科学基金项目"我国农业上市公司财务预警研究"(项目编号:06YB45)
关键词
农业上市公司
财务风险测控
现金流量
主成分分析
agricultural listed companies, measure and control financial risks, cash flow, the Principal Components Analysis （ PCA ）
