Open AccessMathematical Statistical Analysis of Financial Investment Industry Combining Resistance Algorithm under the Context of Internet
Author(s) -
Yi Zhu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012065
Subject(s) - context (archaeology) , market liquidity , computer science , econometrics , investment (military) , algorithm , field (mathematics) , outlier , economics , finance , mathematics , artificial intelligence , paleontology , politics , political science , pure mathematics , law , biology
The reason why some mathematical approaches fail to achieve ideal results in social and economic statistics, especially in financial statistics, is that outliers and exceptions in the sample data lead to the fact that the calculation results cannot reflect the internal relationship of variables correctly and thus deviate from the practical economic significance. The resistance algorithm introduced in this paper can be used to solve these problems in many economic fields and achieve an excellent effect, especially in the financial, statistical analysis field. In this paper, the resistance algorithm is used to analyze the relationship of the liquidity preference with the income and interest rate. Based on the analysis of the annual network data in recent years, the effect of interest rate and liquidity preference is analyzed in this paper. The economic theory is combined with the actual situation in China for analysis. It is believed that a proper economic explanation can be obtained based on the application of the resistance algorithm proposed in this paper.