Financial distress alert model for listed company after full circulation — Empirical study based on binary logistic

摘要

This paper samples 30 listed companies which were the first time to ST (special treatment) because of abnormal financial situation after the announcement of 2008 Annual Report. The paper sets out from the perspective of financial indicators, introduces a new indicator of "total stock market value / total liabilities", and establishes the financial distress alert model with the use of Binary Logistic regression based on factor analysis. The results show that the forecast accuracy of this model is better than the existing research results.