Abstract
To realize the global scheduling of the financial investment of listed companies, a financial investment crisis early warning model of listed companies based on a random forest algorithm is proposed. Based on the random forest algorithm, the decision tree is selected and the key decision tree training set is extracted. Collect the financial investment crisis early warning data of listed companies, select the characteristic variables of financial investment crisis early warning of listed companies, and construct the financial investment crisis early warning model of listed companies based on random forest algorithm to realize the financial investment crisis early warning. The experimental results show that under the action of the early warning model based on the random forest algorithm, the overall early warning variance of financial investment of listed companies is larger, and the financial investment performance per unit time is relatively stronger, which meets the practical application requirements of global scheduling of financial investment of listed companies.
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