Nobushige Doi

LLM-Structured Business Risk Disclosures from Japanese Annual Securities Reports for Long-Horizon Equity Risk Forecasting

This study evaluates whether large language models (LLMs) can convert the "Business and other risks" sections of Japanese annual securities reports into interpretable signals for long-horizon equity risk forecasting. Each extraction returns schema-constrained JSON, which is flattened into ordinal, binary, category-leve...