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With the deepening of enterprise financialization, the trend of "moving away from reality to emptiness" has increased the difficulty of financial management in the manufacturing industry. This paper selects the data of A-share main board listed companies from 2012 to 2021 to study the motivation of financial investment in the manufacturing industry and its impact on financial risk. The research results show that the main motivation of listed companies' financial investment in the manufacturing industry is "substitution" motivation. With the purpose of maximizing profits, the excessive allocation of monetary assets, especially long-term financial assets, increases financial risks of enterprises. Furthermore, the financial risk caused by the financial investment of state-owned enterprises is greater. [ABSTRACT FROM AUTHOR]

As a key component of enterprise assets, accounts receivable play an important role in enterprise financial management and determine the long-term development of enterprises in the later period. In order to minimize the financial risk brought by the credit sales of enterprises, this subject studies the intelligent optimization of enterprise financial account receivable management. BP neural network and K -means clustering algorithm are used to evaluate the risk of account receivable and the owner's credit, respectively. The account balance accounts for 45.20% of the total amount, and the risk rating of accounts receivable is 4. The training result of BP neural network algorithm has high accuracy. With K -means clustering algorithm, accurate evaluation of owner's credit can be achieved, which can provide reference for optimization of enterprise account receivable management mode. [ABSTRACT FROM AUTHOR]

In view of the poor effect of traditional management methods, a quantitative model of financial risk management for forestry enterprises based on nonlinear differential equation is proposed. According to the definition of forestry enterprises, this paper analyzes the development status of forestry enterprises from the quantitative analysis and industrial analysis of forestry enterprises. This paper constructs a nonlinear differential equation model, and analyzes the risks faced by enterprises in operation. The specific application content is studied, and the quantitative model analysis of financial risk management of forestry enterprises is completed. The simulation results show that the management effect of this method is good, which lays a foundation for the protection of forestry economy. [ABSTRACT FROM AUTHOR]