Geopolitical risk and long-term stock market volatility: evidence from the Korean Peninsula using a GJR-GARCH-MIDAS framework

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Authors: Shun Li, Yang Liu
Cited by: 0
References: 14

Abstract

This study uses the GJR-GARCH-MIDAS model to empirically analyse the impact of Geopolitical Risk from North Korea (GPRNK) on the long-term volatility of South Korea’s KOSPI stock market. The estimation results based on daily returns and monthly GPRNK indicators indicate that realized volatility (RV) has a significant positive impact on long-term volatility. In contrast, GPRNK has a significant negative effect on long-term volatility. This result suggests that, in the context of frequent exposure to geopolitical risk (GPR), investors tend to adopt more conservative trading strategies, thereby reducing market volatility. Further analysis reveals that incorporating GPRNK into the model significantly enhances the predictive performance of long-term volatility, with a maximum predicted loss reduction of 4.2%. In summary, GPRNK has played a significant role in shaping the volatility characteristics of the South Korean stock market, providing valuable empirical evidence for improving long-term volatility forecasts.

Fields of Study & Subjects

Financial Risk and Volatility Modeling Market Dynamics and Volatility Financial Markets and Investment Strategies

Publication details

Journal / source
Applied Economics Letters
Pages
1–6
Publication date
4 January 2026
Language
EN