The management discussion & analysis(MD&A)in the annual report of listed companies contains important non-financial information and forward-looking information,and the stock bar reflects the attitude of investors towards the company.This paper proposes a financial risk prediction model based on the fusion of heterogeneous features,which selects financial indicators with significant risk discrimination ability as the basic indicators,integrates the management discussion and analysis(MD&A)and the text information of Oriental Fortune Stock Bar in the annual report,and uses two different decision fusion schemes of Stacking and Bagging for risk prediction.The empirical results based on the sample of 151 new energy listed companies in China in 2022 show that the indicators constructed from different sources of financial text information can improve the prediction accuracy of the financial risk model,and the overall prediction performance of the index fusion scheme integrating multi-dimensional and multi-source text information is the best,and the prediction accuracy of the Bagging decision fusion strategy is up to 91.3％.
万方数据