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Optimization of Statistical Methods for Evaluating the Efficiency of Financial Markets

Author(s)

Xinyue Ao*

Affiliation(s)

Experimental Middle School Affiliated to Beijing Normal University, Beijing, China *Corresponding Author

Abstract

Accurate assessment of the efficiency of the financial market is of great significance for understanding the market operation mechanism, formulating reasonable policies and guiding investment decisions. This paper focuses on the optimization of statistical methods for evaluating the efficiency of financial markets. It first elaborates on the connotation of financial market efficiency and the existing evaluation methods, then analyzes the limitations of traditional statistical methods in the evaluation, and finally proposes a series of targeted optimization strategies, including introducing cutting-edge statistical models, improving data collection and processing methods, and combining multi-source data fusion analysis, etc. The effectiveness and superiority of the optimization method have been verified through empirical research, providing more scientific and accurate tools and methods for the efficiency assessment of the financial market.

Keywords

Financial Market; Efficiency Statistical Methods; Model Optimization; Data Fusion

References

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