LAUSR

In order to build an intelligent financial management model, based on computer information technology, this paper studies the traditional model intelligent model of financial time series, and solves the problem of insufficient correlation of financial data characteristics. Aiming at the complex and changeable financial time series, this paper has a basic understanding of financial time series data and extracts two new data features. Moreover, this paper preprocesses the financial raw data, and then combines the extracted data features to generate a new combination of data features, which improves the correlation with the data. In addition, this paper combines the financial management process to construct a financial management model system that can be used for financial data processing and risk processing and analyzes the performance of the financial management model constructed in this paper. From the research point of view, it can be seen that the financial management model constructed in this paper has a certain practical effect.