ANFIS-Based Investment Recommendations for Government Bonds: Personalized Approach

The paper suggests a framework for investing advice based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) that is specifically designed for buyers of government bonds. The financial situation and investment goals of Hungarian clients are considered when customizing recommendations using this system. Based on their choices, it classifies consumers with comparable financial profiles and gives them advice on whether to invest in government bonds. 1542 possible investors’ data were used to test the suggested system. Of these investors, about 52% expressed interest in government bonds, and the remainder of investors had no interest at all. The system’s capacity to determine which client segments are appropriate for investing in government bonds by utilizing financial status criteria, like investment objectives, was demonstrated by the results. The report also identifies the shortcomings of the suggested system and makes recommendations for further research directions. Despite these limitations, the proposed framework presents a promising method for offering investment recommendations to government clients. It underscores the potential of employing ANFIS in this domain, paving the way for more sophisticated investment advisory systems.