Study on Improving Z-score Model Based on the Logistic Model: Evidence from Listed Companies in China

Autor:	Xiaomao Zhang, Gang Hu
Rok vydání:	2009
Předmět:	Actuarial science Econometrics Regression analysis Financial distress Standard score Logistic regression China Psychology Research method
Zdroj:	2009 International Conference on Information Management, Innovation Management and Industrial Engineering.
DOI:	10.1109/iciii.2009.216
Popis:	In this paper, based on the analysis of the Altman Z-score model, a new research instrument was proposed for the research method. In this paper, 41 ST companies and 41 non-ST companies were taken as samples, seven of the 20 financial indices two year before the financial distress of ST companies were selected as prediction variables and finally the financial distress model was set up with Logistic Regression Analysis. The results showed that compared with Altman Z-score model, the new model is of better prediction effect.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a485def7fe9128c10f3a0a5f2a5f7006 https://doi.org/10.1109/iciii.2009.216 Zobrazit plný text záznamu