1. Carbon Price Forecasting and Market Characteristics Analysis in China: An Integrated Approach Using Overall and Market-Specific Models. (2025). Hu, Haolin ; Sun, Weibao ; Gao, Yafang ; Yang, Xuemei ; Zhang, Yalong.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:12:p:5407-:d:1676924.

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2. Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model. (2025). Han, Chonghao ; Wu, Qunli ; Chen, Haoyu.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:5:p:1054-:d:1596836.

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3. Predicting carbon and oil price returns using hybrid models based on machine and deep learning. (2024). Perote, Javier ; Molinamuoz, Jesus ; Moravalencia, Andres.
   In: Intelligent Systems in Accounting, Finance and Management.
   RePEc:wly:isacfm:v:31:y:2024:i:2:n:e1563.

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4. What drives the European carbon market? Macroeconomic factors and forecasts. (2024). Rossini, Luca ; Bastianin, Andrea ; Qin, Yan ; Mirto, Elisabetta.
   In: Working Papers.
   RePEc:fem:femwpa:2024.02.

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5. Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron. (2024). Wang, Minggang ; Zhu, Mengrui ; Tian, Lixin ; Xu, Hua.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:636:y:2024:i:c:s0378437124000517.

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6. Global spillovers of US climate policy risk: Evidence from EU carbon emissions futures. (2024). Lindequist, David ; Fields, Micah.
   In: Energy Economics.
   RePEc:eee:eneeco:v:139:y:2024:i:c:s014098832400639x.

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7. Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors. (2024). Zhang, Yaojie ; Wang, Yudong.
   In: Energy Economics.
   RePEc:eee:eneeco:v:133:y:2024:i:c:s0140988324002457.

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8. What drives the European carbon market? Macroeconomic factors and forecasts. (2024). Rossini, Luca ; Bastianin, Andrea ; Qin, Yan ; Mirto, Elisabetta.
   In: Papers.
   RePEc:arx:papers:2402.04828.

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9. What drives the European carbon market? Macroeconomic factors and forecasts. (2024). Rossini, Luca ; Bastianin, Andrea ; Qin, Yan ; Mirto, Elisabetta.
   In: FEEM Working Papers.
   RePEc:ags:feemwp:339740.

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10. Dynamic linear models with adaptive discounting. (2023). Pavlidis, Efthymios ; Yusupova, Alisa.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:39:y:2023:i:4:p:1925-1944.

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11. CRPS learning. (2023). Berrisch, Jonathan ; Ziel, Florian.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:237:y:2023:i:2:s0304407621002724.

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12. Performance Comparison of Predictive Methodologies for Carbon Emission Credit Price in the Korea Emission Trading System. (2022). Kim, Yujin ; Ko, Yongho ; Han, Seungwoo.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:13:p:8177-:d:855710.

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13. Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network. (2022). Yang, YU ; Wu, Yaqi ; Yun, PO ; Zhang, Chen.
    In: IJERPH.
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14. Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals. (2022). Tan, Xueping ; Wang, Xinyu ; Sirichand, Kavita ; Vivian, Andrew.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:38:y:2022:i:3:p:944-969.

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15. Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach. (2022). Wang, Ping ; Zhu, Bangzhu.
    In: Energy Economics.
    RePEc:eee:eneeco:v:115:y:2022:i:c:s014098832200490x.

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16. Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors. (2022). Liu, Huiling ; Xue, Minggao ; Lei, Heng.
    In: Energy Economics.
    RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003395.

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17. A novel framework for carbon price forecasting with uncertainties. (2022). Wang, Minggang ; Zhu, Mengrui ; Tian, Lixin.
    In: Energy Economics.
    RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322003164.

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18. Carbon prices forecasting in quantiles. (2022). Ren, Xiaohang ; Shi, Yukun ; Tao, Lizhu ; Duan, Kun ; Yan, Cheng.
    In: Energy Economics.
    RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322000457.

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19. Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model. (2021). Zhang, Ziting ; Yan, Lizhao ; Liu, Jian ; Wen, Fenghua.
    In: Financial Innovation.
    RePEc:spr:fininn:v:7:y:2021:i:1:d:10.1186_s40854-021-00292-8.

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20. Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine. (2021). Wang, Qiqi ; Zhou, Jianguo.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:15:p:8413-:d:603128.

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21. Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence. (2021). Liu, Yang ; Yang, Xueqing ; Wang, Mei.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:21:p:7286-:d:671615.

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22. A hybrid model for carbon price forecastingusing GARCH and long short-term memory network. (2021). Wang, Qunwei ; Huang, Yumeng ; Dai, Xingyu ; Zhou, Dequn.
    In: Applied Energy.
    RePEc:eee:appene:v:285:y:2021:i:c:s0306261921000489.

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23. Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting. (2021). Santucci de Magistris, Paolo ; Datta Gupta, Nabanita ; Christensen, Bent Jesper.
    In: Journal of the Royal Statistical Society Series A.
    RePEc:bla:jorssa:v:184:y:2021:i:1:p:118-149.

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24. AN OVERVIEW OF DYNAMIC MODEL AVERAGING TECHNIQUES IN TIME‐SERIES ECONOMETRICS. (2021). Nonejad, Nima.
    In: Journal of Economic Surveys.
    RePEc:bla:jecsur:v:35:y:2021:i:2:p:566-614.

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25. CRPS Learning. (2021). Berrisch, Jonathan ; Ziel, Florian.
    In: Papers.
    RePEc:arx:papers:2102.00968.

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26. A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction. (2020). He, Ling-Yun ; Qin, Quande.
    In: Computational Economics.
    RePEc:kap:compec:v:55:y:2020:i:4:d:10.1007_s10614-018-9862-1.

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27. A Novel Extended Higher-Order Moment Multi-Factor Framework for Forecasting the Carbon Price: Testing on the Multilayer Long Short-Term Memory Network. (2020). Wagan, Zulfiqar Ali ; Wu, Yaqi ; Yang, Xianzi ; Yun, PO ; Zhang, Chen.
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    RePEc:gam:jsusta:v:12:y:2020:i:5:p:1869-:d:327195.

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28. Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach. (2020). Ye, Shunxin ; Wang, Ping ; Huang, Liqing ; Yuan, Lili ; Zhu, Bangzhu.
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    RePEc:eee:reveco:v:67:y:2020:i:c:p:163-175.

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29. Carbon price forecasting with complex network and extreme learning machine. (2020). Yang, Weiguo ; Jiang, Shumin ; Wang, Minggang ; Xu, Hua.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119316097.

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30. Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm. (2019). Li, Yushuo ; Huo, Xuejing ; Xu, Xiaolei ; Zhou, Jianguo.
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31. A multiscale analysis for carbon price drivers. (2019). Wei, Yi-Ming ; Ye, Shunxin ; Xie, Rui ; Wang, Ping ; He, Kaijian ; Han, Dong ; Zhu, Bangzhu.
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    RePEc:eee:eneeco:v:78:y:2019:i:c:p:202-216.

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32. Adaptive Dynamic Model Averaging with an Application to House Price Forecasting. (2019). Pavlidis, Efthymios ; Yusupova, Alisa.
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33. Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices. (2018). Drachal, Krzysztof.
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34. Predictability of crude oil prices: An investor perspective. (2018). Wang, Yudong ; Yang, LI ; Liu, LI.
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35. Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model. (2018). Wang, Yudong ; Pan, Zhiyuan ; Yang, LI.
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    RePEc:eee:eneeco:v:72:y:2018:i:c:p:177-187.

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36. A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting. (2018). Wei, Yi-Ming ; Zhang, Tao ; Ye, Shunxin ; Wang, Ping ; He, Kaijian ; Zhu, Bangzhu.
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37. Contemporary Trends and Challenges in Finance. (2017). Staehr, Karsten ; Orlowski, Lucjan.
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38. Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016. (2017). Wei, Yi-Ming ; Chevallier, Julien ; Han, Dong ; Zhu, Bangzhu.
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39. Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market. (2017). Risse, Marian ; Ohl, Ludwig.
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40. Politics matters: Regulatory events as catalysts for price formation under cap-and-trade. (2016). Edenhofer, Ottmar ; Fuss, Sabine ; Koch, Nicolas ; Grosjean, Godefroy.
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41. Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach. (2016). Naser, Hanan.
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42. Forecasting excess stock returns with crude oil market data. (2015). Wang, Yudong ; Liu, LI ; Ma, Feng.
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43. Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data. (2014). Leiva-Leon, Danilo ; Guérin, Pierre.
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44. Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence. (2014). Edenhofer, Ottmar ; Fuss, Sabine ; Koch, Nicolas ; Grosjean, Godefroy.
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45. Modeling the relationship between European carbon permits and certified emission reductions. (2013). Koop, Gary.
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1. Carbon Price Forecasting and Market Characteristics Analysis in China: An Integrated Approach Using Overall and Market-Specific Models. (2025). Hu, Haolin ; Sun, Weibao ; Gao, Yafang ; Yang, Xuemei ; Zhang, Yalong.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:12:p:5407-:d:1676924.

   Full description at Econpapers || Download paper

2. A wavelet analysis of the relationship between carbon emissions rights and crude oil prices in China. (2024). Cao, Yafei ; Long, Huidian.
   In: Resources Policy.
   RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724000795.

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3. CO2 Emission Allowances Risk Prediction with GAS and GARCH Models. (2023). Tiwari, Aviral ; Trabelsi, Nader.
   In: Computational Economics.
   RePEc:kap:compec:v:61:y:2023:i:2:d:10.1007_s10614-021-10231-5.

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4. Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals. (2022). Tan, Xueping ; Wang, Xinyu ; Sirichand, Kavita ; Vivian, Andrew.
   In: International Journal of Forecasting.
   RePEc:eee:intfor:v:38:y:2022:i:3:p:944-969.

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5. Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence. (2021). Liu, Yang ; Yang, Xueqing ; Wang, Mei.
   In: Energies.
   RePEc:gam:jeners:v:14:y:2021:i:21:p:7286-:d:671615.

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6. The Impact of Industry on European Union Emissions Trading Market—From Network Perspective. (2020). Liu, Yinpeng ; Fan, Ying ; Wang, Jiqiang ; Guo, Jianfeng.
   In: Energies.
   RePEc:gam:jeners:v:13:y:2020:i:21:p:5642-:d:436174.

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7. An Estimation of Market-Based Carbon-Emission Prices Using Comparative Analogy: A Korean Case. (2019). Kim, Taegu ; Moon, Saedaseul ; Lee, Deok-Joo.
   In: The Energy Journal.
   RePEc:sae:enejou:v:40:y:2019:i:1_suppl:p:259-276.

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8. On the Strategic Effect of International Permits Trading on Local Pollution. (2019). Kyriakopoulou, Efthymia ; ANTONIOU, FABIO.
   In: Environmental & Resource Economics.
   RePEc:kap:enreec:v:74:y:2019:i:3:d:10.1007_s10640-019-00369-0.

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9. Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study. (2018). Yadav, Surendra S ; Jain, P K ; Dhamija, Ajay K.
   In: Environmental Economics and Policy Studies.
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10. Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns. (2018). Lu, Xinsheng ; Fang, Sheng ; Qu, Ling ; Li, Jianfeng.
    In: Physica A: Statistical Mechanics and its Applications.
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11. Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models. (2017). GUPTA, RANGAN ; Lux, Thomas ; Segnon, Mawuli.
    In: Renewable and Sustainable Energy Reviews.
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12. Can energy commodity futures add to the value of carbon assets?. (2017). Roubaud, David ; Bouri, Elie ; Wen, Xiaoqian.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:62:y:2017:i:c:p:194-206.

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13. Emission trading and carbon market performance in Shenzhen, China. (2017). Lo, Alex ; Cong, Ren.
    In: Applied Energy.
    RePEc:eee:appene:v:193:y:2017:i:c:p:414-425.

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14. Research on carbon emission trading mechanisms: current status and future possibilities. (2016). Zhang, Yue-Jun.
    In: International Journal of Global Energy Issues.
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15. Modeling persistence of carbon emission allowance prices. (2016). GUPTA, RANGAN ; Gil-Alana, Luis ; de Gracia, Fernando Perez.
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16. Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I. (2016). Balietti, Anca Claudia .
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17. The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process. (2014). Goutte, Stéphane ; Chevallier, Julien.
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18. Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence. (2014). Edenhofer, Ottmar ; Fuss, Sabine ; Koch, Nicolas ; Grosjean, Godefroy.
    In: Energy Policy.
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19. Carbon trading: past, present and future. (2013). Chevallier, Julien.
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20. Policy options to improve the effectiveness of the EU emissions trading system: A multi-criteria analysis. (2013). Clo, Stefano ; Battles, Susan ; Zoppoli, Pietro.
    In: Energy Policy.
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21. Modeling the relationship between European carbon permits and certified emission reductions. (2013). Koop, Gary.
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:24:y:2013:i:c:p:166-181.

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22. Forecasting the European carbon market. (2013). Koop, Gary.
    In: Journal of the Royal Statistical Society Series A.
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23. Carbon price drivers: Phase I versus Phase II equilibrium?. (2012). Mignon, Valérie ; Jouvet, Pierre-André ; Creti, Anna.
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24. Forecasting the European Carbon Market. (2011). Tole, Lise ; Koop, Gary.
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25. Forecasting the European Carbon Market. (2011). Koop, Gary.
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26. Bankable emission permits under uncertainty and optimal risk-management rules. (2011). Jouvet, Pierre-Andre ; Chevallier, Julien ; Etner, Johanna.
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27. Carbon Price Drivers: Phase I versus Phase II Equilibrium?. (2011). Mignon, Valérie ; Jouvet, Pierre-André ; Creti, Anna.
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28. Is There a Stochastic Trend in European Union Emission Trading Scheme Prices?. (2010). Bredin, Don ; Muckley, Cal.
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29. An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect. (2010). Zhang, Yue-Jun ; Wei, Yi-Ming.
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30. Estimating the value at risk of EUA futures prices based on the extreme value theory. (2010). Zhang, Yue-Jun.
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31. Emissions Compliances and Carbon Prices under the EU ETS: A Country Specific Analysis of Industrial Sectors. (2009). Chèze, Benoît ; Chevallier, Julien ; Alberola, Emilie ; Cheze, Benoit.
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32. EU Emission Allowances and the stock market: Evidence from the electricity industry. (2009). Oberndorfer, Ulrich .
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33. An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect. (2009). Zhang, Yue-Jun ; Wei, Yi-Ming.
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34. Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis. (2009). Rittler, Daniel .
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35. EU Emission Allowances and the Stock Market: Evidence from the Electricity Industry. (2008). Oberndorfer, Ulrich .
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36. Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence. (2008). Etner, Johanna ; Jouvet, Pierre-Andre ; Chevallier, Julien.
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37. Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence. (2008). Jouvet, Pierre-André ; Etner, Johanna ; Chevallier, Julien.
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