AI-Powered Economic Digest and A Composite Index for National Financial Well-being: An AI-Driven Approach to Quantifying United States Financial Health with the USFHI

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Authors: Bireswar Banerjee, Rajib Maitra
Cited by: 0
References: 6

Abstract

This paper delivers a thorough analysis of the United States’ financial health by integrating critical economic indicators such as stock market performance, Consumer Price Index (CPI), unemployment rate, federal funds rate, and housing market trends. This AI-driven solution provides a snapshot of these key areas related to the present financial and economic condition. Along with the same, it provides a unified and actionable measure in terms of an index value, which is a weighted average of the indexes pertaining to the above topics. The paper introduces the US Financial Health Index (USFHI), a composite index designed to quantify and track the nation’s financial well-being, which can be useful for investors in making key decisions. It uses a RAG-based AI solution to gather required information from available financial information libraries to generate the snapshot details as a daily digest. It also performs behind-the-scenes calculation to combine the available financial indexes to generate a weighted average score or index.

Fields of Study & Subjects

Economic Analysis and Policy Financial Analysis and Corporate Governance Stock Market Forecasting Methods

Publication details

Journal / source
IEEE International Conference on AI in Cybersecurity (ICAIC)
Pages
1–4
Publication date
18 February 2026
Language
EN