The North American Journal of Economics and Finance, Journal Year: 2024, Volume and Issue: unknown, P. 102343 - 102343
Published: Dec. 1, 2024
Language: Английский
The North American Journal of Economics and Finance, Journal Year: 2024, Volume and Issue: unknown, P. 102343 - 102343
Published: Dec. 1, 2024
Language: Английский
Journal of International Money and Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103294 - 103294
Published: Feb. 1, 2025
Language: Английский
Citations
6SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
We uncover the opposite effects of climate policy uncertainty (CPU) and economic (EPU) on firm investment value. Based a sample Chinese listed firms, we find that CPU is negatively associated with while EPU positively investment. attribute different associations to inherent motivations behind (economic) polices tend inhibit (encourage) for sake green development (economic growth). further have value, acts as common channel through which affect Our results suggest high improves (impairs) value partly by inhibiting (encouraging)
Language: Английский
Citations
0Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 106799 - 106799
Published: Jan. 1, 2025
Language: Английский
Citations
0International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104128 - 104128
Published: March 1, 2025
Language: Английский
Citations
0China Finance Review International, Journal Year: 2025, Volume and Issue: unknown
Published: May 15, 2025
Purpose Clean energy stocks have recently received significant attention from both investors and researchers, reflecting their growing importance in financial markets. This paper forecasts clean stock (CES) returns using many predictors, including technical, macroeconomic, climate risk predictors. The goal is to reveal how different predictor groups work time-varying patterns. Design/methodology/approach study establishes a robust forecasting framework monthly data the WilderHill Energy Index, spanning January 2009 December 2023, integrates 56 predictors across four categories. To address multicollinearity identify key drivers, applies advanced shrinkage methods, regularization, quantile regression model combination. offers dynamic solution for CES returns. Findings identifies macroeconomic as most stable powerful drivers of returns; Chicago Fed National Activity Index (CFNAI) particularly important indicator. Climate show temporal variability, while technical are more during market volatility. A group-level analysis highlights variables accuracy. play critical roles specific periods. Medium-term dynamics (2–4 months) associated with strongest impact on performance. Originality/value introduces novel approach by integrating diverse addresses research gaps, given previous focus traditional or single-model frameworks. further examines grouping, component selection, rolling windows horizons increasing prediction accuracy describing interactions driving
Language: Английский
Citations
0Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108056 - 108056
Published: Nov. 1, 2024
Language: Английский
Citations
1Finance research letters, Journal Year: 2024, Volume and Issue: 73, P. 106627 - 106627
Published: Dec. 10, 2024
Language: Английский
Citations
1The North American Journal of Economics and Finance, Journal Year: 2024, Volume and Issue: unknown, P. 102343 - 102343
Published: Dec. 1, 2024
Language: Английский
Citations
0