Deep learning for enhanced risk management: a novel approach to analyzing financial reports.

ABSTRACT: Risk management is a critical component of today's financial environment because of the enormity and complexity of data contained in financial statements. Business situations, plans, and schedule risk assessment with the help of conventional ways which involve analytical, technical, and heuristic models are inadequate to address the complex structures of the latest data. This research brings out the Hybrid Financial Risk Predictor (HFRP) model, using the convolutional neural networks (CNN) and long-short term memory (LSTM) networks to improve financial risk prediction. A combination of quantitative and qualitative ratings derived from the analysis of financial texts results in high accuracy and stability compared with the HFRP model. Evaluating key findings, the quantity of training & test

SUBMITTER: Shi X 

PROVIDER: S-EPMC11784821 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature