Industry Risk Assessment via Hierarchical Financial Data Using Stock Market Sentiment Indicators

Understand

Risk assessment across industries is paramount for ensuring a robust and sustainable economy.

• While previous studies have relied heavily on official statistics for their accuracy, they often lag behind real-time developments.
• Addressing this gap, our research endeavors to integrate market microstructure theory with AI technologies to refine industry risk predictions.
• This paper presents an approach to analyzing industry trends leveraging real-time stock market data and generative small language models (SLMs).