Simulation Research on Pre-alarm Model of Enterprise Shared Financial Crisis Based on Genetic Algorithm

Under the background of economic globalization, the scope of enterprise management and production is expanding, and the application of financial sharing model is of great significance to enhance the competitive strength of enterprises and make efficient use of enterprise financial information. However, due to the particularity of the implementation stage of the financial sharing model, enterprises will still face financial risks. The occurrence of financial crisis is not sudden, it is a step-by-step and gradual process, so the financial crisis is not only a harbinger, but also predictable. In this article, an pre-alarm model of shared financial crisis among enterprises based on genetic algorithm is proposed, which overcomes the problems of large amount of information, difficulty in screening information, inability to establish model relations and inability to find optimal solutions in previous financial pre-alarm models. The traditional ANN algorithm is selected as a comparison to carry out the simulation experiment, which proves the feasibility of the proposed enterprise sharing financial crisis pre-alarm algorithm. The simulation results show that the financial crisis pre-alarm model in this article is more accurate. Compared with the traditional ANN algorithm, the recall is increased by 17.88% and the accuracy is increased by 22.46%. Correctly predicting the financial crisis of enterprises is of great practical significance for protecting the interests of investors and creditors, preventing financial crisis for operators, and supervising the quality of listed companies and securities market risks by government departments.