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Exchange rate effect on carbon credit price via energy markets

Citations

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Cited by:

  1. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
  2. Hyunju Kang & Bok-Keun Yu & Jongmin Yu, 2016. "Global Liquidity and Commodity Prices," Review of International Economics, Wiley Blackwell, vol. 24(1), pages 20-36, February.
  3. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
  4. Hajar Nasrazadani & Maria Pilar Mu oz Gracia, 2017. "Comparing Iranian and Spanish Electricity Markets with Nonlinear Time Series," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 262-286.
  5. Huang, Xinya & Wang, Yufeng & Li, Houjian, 2024. "Exploring the asymmetric influence of economic policy uncertainty on the nonlinear relationship between exchange rate and carbon prices in China," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
  6. Xiaohua Song & Wen Zhang & Zeqi Ge & Siqi Huang & Yamin Huang & Sijia Xiong, 2022. "A Study of the Influencing Factors on the Carbon Emission Trading Price in China Based on the Improved Gray Relational Analysis Model," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
  7. Katarzyna Rudnik & Anna Hnydiuk-Stefan & Aneta Kucińska-Landwójtowicz & Łukasz Mach, 2022. "Forecasting Day-Ahead Carbon Price by Modelling Its Determinants Using the PCA-Based Approach," Energies, MDPI, vol. 15(21), pages 1-23, October.
  8. Go, You-How & Lau, Wee-Yeap, 2021. "Extreme risk spillovers between crude palm oil prices and exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  9. Lee, Jaeseok & Yue, Chengyan, 2017. "Impacts of the US dollar (USD) exchange rate on economic growth and the environment in the United States," Energy Economics, Elsevier, vol. 64(C), pages 170-176.
  10. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
  11. Chen, Zhang-Hangjian & Chu, Wei-Wei & Gao, Xiang & Koedijk, Kees G. & Xu, Yaping, 2024. "Extreme weather, climate risk, and the lead–lag role of carbon," Global Finance Journal, Elsevier, vol. 61(C).
  12. Go, You-How & Lau, Wee-Yeap, 2024. "Terms of trade or market power? Further evidence from dynamic spillovers in return and volatility between Malaysian crude palm oil and foreign exchange markets," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
  13. Vlad-Cosmin Bulai & Alexandra Horobet & Oana Cristina Popovici & Lucian Belascu & Sofia Adriana Dumitrescu, 2021. "A VaR-Based Methodology for Assessing Carbon Price Risk across European Union Economic Sectors," Energies, MDPI, vol. 14(24), pages 1-21, December.
  14. Jaeseok Lee & Jongmin Yu, 2017. "Market Analysis during the First Year of Korea Emission Trading Scheme," Energies, MDPI, vol. 10(12), pages 1-13, November.
  15. Maneejuk, Paravee & Huang, Wucaihong & Yamaka, Woraphon, 2025. "Asymmetric volatility spillover effects from energy, agriculture, green bond, and financial market uncertainty on carbon market during major market crisis," Energy Economics, Elsevier, vol. 145(C).
  16. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
  17. Qianqian Guo & Zhifang Su & Chaoshin Chiao, 2022. "Carbon emissions trading policy, carbon finance, and carbon emissions reduction: evidence from a quasi-natural experiment in China," Economic Change and Restructuring, Springer, vol. 55(3), pages 1445-1480, August.
  18. Xing Zhang & Chongchong Zhang & Zhuoqun Wei, 2019. "Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors," Energies, MDPI, vol. 12(22), pages 1-23, November.
  19. Chao Zhang & Yihang Zhao & Huiru Zhao, 2022. "A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach," Mathematics, MDPI, vol. 10(21), pages 1-16, November.
  20. Zeng, Shihong & Nan, Xin & Liu, Chao & Chen, Jiuying, 2017. "The response of the Beijing carbon emissions allowance price (BJC) to macroeconomic and energy price indices," Energy Policy, Elsevier, vol. 106(C), pages 111-121.
  21. Rundong Luo & Yan Li & Zhicheng Wang & Mengjiao Sun, 2022. "Co-Movement between Carbon Prices and Energy Prices in Time and Frequency Domains: A Wavelet-Based Analysis for Beijing Carbon Emission Trading System," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
  22. Yue-Jun Zhang, 2016. "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 89-107.
  23. Yang Liu & Tongshuai Qiao & Liyan Han, 2022. "Does clean energy matter? Revisiting the spillovers between energy and foreign exchange markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2068-2083, November.
  24. Yang, Kun & Sun, Yuying & Hong, Yongmiao & Wang, Shouyang, 2024. "Forecasting interval carbon price through a multi-scale interval-valued decomposition ensemble approach," Energy Economics, Elsevier, vol. 139(C).
  25. Jaeseok Lee & Jongmin Yu, 2019. "Heterogenous Energy Consumption Behavior by Firm Size: Evidence from Korean Environmental Regulations," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
  26. Tan, Xue-Ping & Wang, Xin-Yu, 2017. "Dependence changes between the carbon price and its fundamentals: A quantile regression approach," Applied Energy, Elsevier, vol. 190(C), pages 306-325.
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