Open and transparent market information is a prerequisite to maintain the order of financial market and guarantee the normal financing of enterprises. In the real financial market, there is inevitably market information asymmetry. Information asymmetry has become a key factor in corporate financing constraints, and capital market information disclosure is conducive to solve problems such as information asymmetry in the capital market and smooth the financing channels of companies. In the process of economic globalization, some developed countries and industrial classes with damaged interests have set off a wave of counter-globalization, under which export-oriented enterprises in various countries are facing a series of investment dilemmas, which affect their choice of investment direction. In this paper, we study the relationship between corporate financing constraints and information disclosure, introduce information disclosure quality indicators and financing constraint measurement models, and analyze corporate investment dilemmas based on international disputes under the wave of counter-globalization.

The goal of financial management is to manage the purchase and sale of assets, the rational financing of funds, the management of cash flow in operations, and finally, the reasonable distribution of company profits in a certain task situation, which is simply the management of the “three statements” of the enterprise. The core issue of the financial mechanism is how to choose a centralized or decentralized management model, which requires the company to consider the internal and external environment, and according to the development of the company, the quality of employees and business characteristics of various factors, in order to make the best choice of the company’s financial management model. Therefore, in the context of the epidemic, this article conducts research related to the financial management of listed companies based on convolutional neural network models (radial basis neural network, generalized regression neural network, wavelet neural network, and fuzzy neural network). This article, firstly, discusses the basic theories of macro- and micro-financial management of enterprises and financial management of listed enterprises, secondly, examines the overall financial management model of listed enterprises in China through methods such as the convolutional neural network model research method introduced in this article, and then, after an overall examination and analysis of the financial management situation of X-listed enterprises, finds the macro- and micro-status quo of financial management of listed enterprises in China under the epidemic, and in the sub. On the basis of the status quo, suggestions are made to build a financial management model that combines centralization and decentralization and to build a group financial risk management system.

e digital transformation of manufacturing industry refers to the integration and application of the new generation of information technology in the eld of manufacturing in the context of the current digital economy development. Architecture is the foundation of the real economy, which is closely related to digital chemistry and industrial digitalization. On the one hand, hightech manufacturing of digital information products such as terminal equipment, smart equipment, electronic components, and integrated circuits is the material basis of digital chemical industry. It is a product of traditional manufacturing, blockchain, and arti cial intelligence. On the other hand, digital technologies such as simulation technology are the core of the development of manufacturing, the key to achieving precise market positioning, expanding product functions, and improving product quality and added value. Digital technology is an intellectual industry. From the perspective of investment returns, the investment behavior of enterprises is manifested as e ective investment and invalid investment. If the capital cost during the investment process is lower than the company's income, the company will not increase the investment amount for any reason, so it will not receive enough investment. Due to the low threshold of investment income, investment growth exceeding a certain threshold will actually reduce investment income and lead to excessive investment. In this context, this article studies the digital transformation of corporate enterprises based on algorithms: green innovation in investment e ciency organizations. is article deeply studies the status quo and the advantages of green innovation investment in digital technology and puts forward corresponding suggestions.