SakJae Lim

Evaluating Grounded Alignment of LLM Explanations in Financial Risk Early Warning: A Prediction–Explanation Separation Framework

Purpose: This study proposes a large language model (LLM) framework that separates prediction from explanation for early warning of high-volatility regimes in the Korean stock market, in which a dedicated model issues the forecast and an LLM produces auditable, evidence-grounded explanations. The goal is to evaluate an...