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This paper selects the 2017 to 2019 science and technology innovation board listed companies and ST companies as samples, from finance, corporate governance and life cycle three categories to construct and optimize the financial risk early warning index system. Factor analysis method and binary logistic regression method are used to construct the financial early warning models of listed companies in the science and technology innovation board in the growth and maturity periods, and then tested. It is found that the accuracy of the early-warning model in the growth stage can reach 90%, and the accuracy of the early-warning model in the growth stage can reach 95%.

Research on Financial Risk Early Warning of Listed Companies on the Science and Technology Innovation Board Based on the Life Cycle Perspective