Analysis of the Impact of ESG Factors on the Capital Market Based on Bayesian Network Algorithm

To systematically analyze the impact of ESG factors on the capital market, a Bayesian network model was used to construct the causal relationships between environmental, social, and governance factors and market indicators. The study examined the impact paths and intensities of ESG factors on stock price fluctuations and market value changes. The analysis indicates that governance factors have the most significant impact on the capital market. Through model optimization and the introduction of data features, the prediction accuracy can be further improved, providing a scientific basis for investment decisions and the optimization of corporate ESG strategies.