财务指标被研究者广泛用于预测导向的统计模型中,其中一个应用方向便是预测企业的失败,研究的一般方法是评估一个基于财务指标的横断面模型去判定失败与非失败的企业。然而,评估横断面模型的隐含假设条件是失败过程在时间上是稳定的,这一假设常常被违反。有证据表明这些模型中的关系和参数不是稳定的。因此,这些模型,由于它们经常用的是失败 Financial indicators are widely used by researchers in predictive-oriented statistical models. One of them is to predict the failure of an enterprise. The general method of research is to evaluate a cross-sectional model based on financial indicators to determine the failure and non-failure of the enterprise. However, the implicit assumption for assessing cross-sectional models is that the failure process is stable over time, a assumption often violated. There is evidence that the relationships and parameters in these models are not stable. Therefore, these models, because they are often used is failure