Price forecasting in China's carbon market shows substantial spillover effects across various scales, indicating interconnected market dynamics.
Key evidence highlights that spillover effects can influence carbon prices significantly, emphasizing a 30% variance in price predictions due to these interactions.
Multiscale analysis using historical market data unveiled complex relationships between different carbon trading entities and regional markets.
The findings suggest a need for enhanced forecasting models to better predict carbon market trends, highlighting potential regulatory implications.