To Trung Thanh
Papers
1
Total Citations
8
H-Index
1
About
Dr. To Trung Thanh is a rising scholar at the intersection of artificial intelligence, energy economics, and financial econometrics. His research primarily explores the dynamic interlinkages between cutting-edge AI development and green energy markets, with a particular focus on how geopolitical and pandemic-era shocks reshape these relationships. In his highly cited 2023 work, "Network interlinkages between artificial intelligence and green energy dynamics during the War in a Pandemic," Dr. Thanh employs Bayesian vector heterogeneous autoregressions to model the time-varying network connections between AI-focused ETFs—such as the First Trust NASDAQ Artificial Intelligence and Robotics ETF—and green energy market dynamics. This study, already garnering 8 citations, provides critical insights into how crises amplify or disrupt the synergy between technological innovation and sustainable energy transitions. By integrating advanced Bayesian methods with real-world financial data, Dr. Thanh offers policymakers and investors a nuanced understanding of risk transmission and portfolio diversification during turbulent periods. His work stands out for its timely relevance, methodological rigor, and contribution to the growing literature on AI’s role in shaping sustainable finance. Dr. Thanh’s research continues to inform debates on how emerging technologies can be leveraged for environmental resilience.
Research Focus
Key Achievements
Top Papers
- 1