Author(s)

Weicheng Qu

Corresponding Author

Weicheng Qu

Abstract

This paper focuses on the application of econometric models in the integration of financial risk measurement and accounting information. It reviews the basic theories and application paths of regression models, time series models, panel data models, and simultaneous equation models. It also analyzes key problems in model application such as collinearity and time matching bias, and proposes corresponding optimization directions. The research shows that econometric models provide multiple tools for the integration of the two fields. Through targeted optimization, the accuracy of risk assessment can be improved, which not only enriches cross-disciplinary theory but also provides decision-making references for financial risk management practices.

Keywords

Econometric Model; Financial Risk Measurement; Accounting Information; Information Integration