Abstract

Company bankruptcy is a way of corporate restructuring, and bankruptcy prediction on various data of the enterprise in advance can avoid greater losses. The topic of this article also revolves around corporate bankruptcy predictions. This paper focuses on the screening of financial indicators related to corporate bankruptcy predictions, with a focus on the analysis of highly correlated data. In this work, SPSS is first used to screen the company's financial operation index data, and then focus on the data related to liabilities and working capital to carry out the company's bankruptcy prediction analysis, and it is concluded that these two indicators have a high impact on the company's operation and bankruptcy prediction. Its significance is that it has certain reference value for the subsequent decision-making of enterprises.

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