Enterprise financial index capital amount prediction method, device and equipment and storage medium

Abstract

The invention provides an enterprise financial index capital amount prediction method, device and equipment and a storage medium. The method comprises the steps: acquiring transaction data and auxiliary data of a cash center; performing feature extraction on the transaction data and the auxiliary data to obtain feature data; respectively inputting the feature data into a plurality of pre-trained monomer prediction models to obtain corresponding prediction values; adopting a non-dominated sorting genetic algorithm with an elitist strategy to process the prediction value of each single prediction model to obtain a cash inventory use amount prediction result, wherein the monomer prediction model is a ridge regression model, a classification regression tree model, an extreme random regressiontree model, a LightGBM regression model or a convolutional neural network model; the budget result of each index of an enterprise in a future period of time can be accurately predicted, so the optimalallocation of capital budget of each financial index of the enterprise in the future is realized, and the enterprise is helped to improve the management efficiency.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method and device for predicting the amount of capital of an enterprise's financial index, electronic equipment, and a storage medium. Background technique [0002] Financial indicators refer to the relative indicators for enterprises to summarize and evaluate the financial status and operating results. The financial indicators of enterprises include: solvency indicators, operating ability indicators, profitability indicators, etc., and solvency indicators include asset-liability ratio, current ratio, speed ratio, etc. operating ratio, etc.; operating capacity indicators include accounts receivable turnover rate, inventory turnover rate, etc.; profitability indicators include capital profit rate, sales profit rate (operating income profit and tax rate), cost profit rate, etc. [0003] The accurate prediction of financial indicators of enterprises can hel...

AI Technical Summary

Problems solved by technology

Usually, corporate financial forecasting includes two types of methods, qualitative forecasting and quantitative forecasting. Traditional forecasting methods have low management efficiency and forecasting accuracy, and cannot meet the needs of enterprises.

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