Dynamic Cause Analysis of Quantitative Investment Using Grey Correlation Analysis

Abstract

Quantitative investment itself has very complex operational logic, and how to effectively analyze the dynamic causes of quantitative investment has always been an urgent problem to be solved. This paper proposes a dynamic quantitative analysis of investment based on the gray relational analysis model, which reduces the influence of subjective factors and improves the objectivity of evaluation results through the selection of reference sequences. The results show that the method has significant analytical performance and can provide users with good guidance for quantitative investment.