Business investment decision-making based on mathematical model and risk analysis.

The article focuses on the development and evaluation of a Decisive Risk Analytical Model (DRAM) designed to assess and mitigate risks in business investments across various financial quarters. DRAM integrates expert opinions, historical risk data, investment returns, and market periods, employing deep learning techniques to train and fine-tune the model for improved risk forecasting and investment decision-making. The model adapts to different economic cycles within a single financial year, identifies influential risk factors, and provides recommendations to enhance investment feasibility while minimizing errors and modifications. Empirical analysis using data from multiple organizations demonstrates DRAM's superior accuracy compared to existing models, validating its effectiveness in managing financial risks and supporting stable investment strategies. The article notes limitations in handling multivariate financial models for short-term investments and suggests future work to address these challenges.