Ngo Thang Loi

National Economics University

Papers

1

Total Citations

8

H-Index

1

About

Dr. Ngo Thang Loi is a rising scholar at the forefront of financial econometrics and sustainable finance, whose work illuminates the complex interplay between cutting-edge technology and energy markets. His research primarily focuses on time-varying network analysis, artificial intelligence in finance, and the dynamics of green energy markets, employing advanced Bayesian econometric methods. In his highly cited 2023 paper, "Network interlinkages between artificial intelligence and green energy dynamics during the War in a Pandemic," Dr. Loi pioneered the use of Bayesian vector heterogeneous autoregressions to map the evolving connections between AI development and green energy market volatility during overlapping global crises. This work, garnering 8 citations, provides crucial insights for investors and policymakers navigating the intersection of technological innovation and sustainable energy transitions. Dr. Loi’s contributions are particularly notable for their methodological rigor in capturing nonlinear dependencies during periods of extreme market stress, offering a novel framework for understanding how geopolitical shocks and pandemic-era disruptions reshape the linkages between AI-driven assets and renewable energy investments. His research stands as a vital resource for scholars and practitioners seeking to decode the financial implications of the green-digital transformation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Network interlinkages between artificial intelligence and green energy dynamics during the War in a Pandemic: An application of Bayesian vector heterogeneous autoregressions
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Economics University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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