Randomized trial investigates energy price effects on stock-market volatility in Thailand, indicating the need for consistent policy communication.
This study investigates the roles of climate policy uncertainty, oil price shocks, and global macro-financial factors in shaping stock-market volatility in Thailand, an emerging economy undergoing an energy transition and increasing financial integration. Using monthly data from January 2000 to September 2025, we estimate a GARCH(1,1) model with exogenous regressors to capture conditional heteroscedasticity and employ support vector regression (SVR) to assess nonlinear out-of-sample predictability. The results indicate that oil-price changes, exchange-rate movements, and global-equity returns exert significant contemporaneous effects on Thai stock returns. In contrast, climate- and policy-related uncertainty measures appear to play a more indirect role within broader volatility dynamics rather than serving as primary return drivers. Volatility persistence is high but mean-reverting, suggesting sustained yet stabilizing adjustment processes in a semi-integrated emerging market. Out-of-sample evidence shows that SVR outperforms both GARCH and random-walk benchmarks, indicating the presence of partial predictability under structured uncertainty. These findings contribute to the understanding of financial stability under transition-related risks and highlight the importance of consistent policy communication in emerging markets.
No takes yet. Share an insight, caveat, or question.
Huỳnh et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: