Optimistic or pessimistic: How do investors impact the green bond market?

CW Su, XY Song, M Qin, OR Lobonţ, M Umar - The North American Journal …, 2024 - Elsevier
This study investigates the relationship between investor sentiment (IS) and the green bond
market by employing bootstrap full-and sub-sample rolling-window Granger causality tests …

Can green bond hedges climate policy uncertainty in the United States: New insights from novel time-varying causality and quantile-on-quantile methods?

J Wu, JP Li, CW Su - Economic Analysis and Policy, 2024 - Elsevier
Climate policy uncertainty (CPU) raises concerns about financial instability and creates
several macroeconomic challenges for the United States. Therefore, hedging against …

Are artificial intelligence and blockchain the key to unlocking the box of clean energy?

S Yang, MN Zhu, H Yu - Energy Economics, 2024 - Elsevier
The fourth industrial revolution has brought about key technological breakthroughs
represented by artificial intelligence (AI) and blockchain (BC), which provide an opportunity …

The investment of renewable energy: Is green bond a safe-haven to hedge US monetary policy uncertainty?

F Cao, CW Su, M Qin, NC Moldovan - Energy, 2024 - Elsevier
This paper uses the bootstrap rolling-window Granger causality test to investigate the
relationship between US monetary policy uncertainty and green bond. The method …

Energy imports in turbulent eras: evidence from China

CW Su, S Yang, AD Peculea, TI Biţoiu, M Qin - Energy, 2024 - Elsevier
The turbulent world situation is an urgent crisis in energy trade and may exacerbate regional
energy tensions. This paper measures the links between geopolitical risks (GPR), economic …

US monetary policy: The pushing hands of crude oil price?

F Cao, CW Su, D Sun, M Qin, M Umar - Energy Economics, 2024 - Elsevier
This paper uses the bootstrap rolling-window Granger causality method to investigate the
relationship between US monetary policy (UMP) and crude oil price (COP). The method …

A win-win relationship? New evidence on artificial intelligence and new energy vehicles

J Gu, Z Wu, Y Song, AC Nicolescu - Energy Economics, 2024 - Elsevier
Investigating the vital role of artificial intelligence is essential to develop the electric vehicle
market. This study utilises the wavelet-based QQR methodology to seize the dynamic …

Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty

L Tian, X Li, CW Lee, C Spulbăr - Energy Economics, 2024 - Elsevier
The focus on sustainable development and the transition to renewable energy sources has
intensified due to the risks associated with climate change. This study provides new insights …