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Julien Chevallier

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Julien Chevallier, 2021. "Covid-19 Pandemic and Financial Contagion," Working Papers 2021-001, Department of Research, Ipag Business School.

    Cited by:

    1. Katerina Lyroudi & Sotirios Nikolopoulos, 2021. "Stock Market Reaction at the WHO’s Announcement of a Pandemic due to COVID-19 of the French Pharmaceuticals," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 482-496.
    2. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    3. Mohamed Yousfi & Abderrazak Dhaoui & Houssam Bouzgarrou, 2021. "Risk Spillover during the COVID-19 Global Pandemic and Portfolio Management," JRFM, MDPI, vol. 14(5), pages 1-29, May.
    4. Constantin Anghelache & Mădălina-Gabriela Anghel & Ștefan Virgil Iacob & Mirela Panait & Irina Gabriela Rădulescu & Alina Gabriela Brezoi & Adrian Miron, 2022. "The Effects of Health Crisis on Economic Growth, Health and Movement of Population," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    5. Letife Özdemir & Ercan OZEN & Simon Grima & Inna RomÄ nova, 2021. "Determining the Return Volatility of Major Stock Markets Before and During the COVID-19 Pandemic by Applying the EGARCH Model," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 68(4), pages 405-419, October.
    6. Belhassine, Olfa & Karamti, Chiraz, 2021. "Contagion and portfolio management in times of COVID-19," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 73-86.
    7. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
    8. Jialei Jiang & Eun-Mi Park & Seong-Taek Park, 2021. "The Impact of the COVID-19 on Economic Sustainability—A Case Study of Fluctuation in Stock Prices for China and South Korea," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    9. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
    10. Jorge Omar Razo-De-Anda & Luis Lorenzo Romero-Castro & Francisco Venegas-Martínez, 2023. "Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
    11. Lin, Weinan & Ouyang, Ruolan & Zhang, Xuan & Zhuang, Chengkai, 2023. "Network analysis of international financial markets contagion based on volatility indexes," Finance Research Letters, Elsevier, vol. 56(C).

  2. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.

    Cited by:

    1. Mohamed Yousfi & Abderrazak Dhaoui & Houssam Bouzgarrou, 2021. "Risk Spillover during the COVID-19 Global Pandemic and Portfolio Management," JRFM, MDPI, vol. 14(5), pages 1-29, May.
    2. Fares Almomani & Amera Abdelbar & Sophia Ghanimeh, 2023. "A Review of the Recent Advancement of Bioconversion of Carbon Dioxide to Added Value Products: A State of the Art," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    3. Md. Bokhtiar Hasan & Masnun Mahi & Tapan Sarker & Md. Ruhul Amin, 2021. "Spillovers of the COVID-19 Pandemic: Impact on Global Economic Activity, the Stock Market, and the Energy Sector," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    4. Jawadi, Fredj & Rozin, Philippe & Bourghelle, David, 2023. "Insights into CO2 emissions in Europe in the context of COVID-19: A panel data analysis," International Economics, Elsevier, vol. 173(C), pages 164-174.
    5. Tsai, I-Chun, 2022. "Changes in social behavior and impacts of the COVID-19 pandemic on regional housing markets: Independence and risk," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    6. Rafał Nagaj & Brigita Žuromskaitė, 2021. "Tourism in the Era of Covid-19 and Its Impact on the Environment," Energies, MDPI, vol. 14(7), pages 1-18, April.
    7. Shah, Muhammad Ibrahim & Foglia, Matteo & Shahzad, Umer & Fareed, Zeeshan, 2022. "Green innovation, resource price and carbon emissions during the COVID-19 times: New findings from wavelet local multiple correlation analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

  3. Benoît Chèze & Julien Chevallier & Nicolas Berghmans & Emilie Alberola, 2020. "On the CO2 emissions determinants during the EU ETS Phases I and II: a plant-level analysis merging the EUTL and Platts power data [Sur les déterminants des émissions de CO2 durant les phases I et ," Post-Print hal-02379553, HAL.

    Cited by:

    1. Jan-Horst Keppler & Simon Quemin & Marcelo Saguan, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Post-Print hal-03964488, HAL.
    2. Pilar Gargallo & Luis Lample & Jesús A. Miguel & Manuel Salvador, 2021. "Co-Movements between Eu Ets and the Energy Markets: A Var-Dcc-Garch Approach," Mathematics, MDPI, vol. 9(15), pages 1-36, July.
    3. Quemin, Simon & Trotignon, Raphaël, 2021. "Emissions trading with rolling horizons," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    4. Liao, Ling & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda & Gehricke, Sebastian, 2023. "The role of fundamentals and policy in New Zealand's carbon prices," Energy Economics, Elsevier, vol. 124(C).
    5. Quemin, Simon, 2022. "Raising climate ambition in emissions trading systems: The case of the EU ETS and the 2021 review," Resource and Energy Economics, Elsevier, vol. 68(C).
    6. Kramer, Niklas & Lessmann, Christian, 2023. "The Effects of Carbon Trading: Evidence from California’s ETS," MPRA Paper 116796, University Library of Munich, Germany.
    7. Simon Quemin, 2020. "Using Supply-Side Policies to Raise Ambition: The Case of the EU ETS and the 2021 Review," Working Papers 2002, Chaire Economie du climat.

  4. Ilyes Abid & Khaled Guesmi & Stéphane Goutte & Christian Urom & Julien Chevallier, 2019. "Commodities risk premia and regional integration in gas-exporting countries," Post-Print halshs-02148921, HAL.

    Cited by:

    1. Lin, Boqiang & Xu, Bin, 2019. "How to effectively stabilize China's commodity price fluctuations?," Energy Economics, Elsevier, vol. 84(C).
    2. Ireneusz Górowski & Bartosz Kurek & Marek Szarucki, 2022. "The Impact of a New Accounting Standard on Assets, Liabilities and Leverage of Companies: Evidence from Energy Industry," Energies, MDPI, vol. 15(4), pages 1-15, February.

  5. Julien Chevallier & Stéphane Goutte & Khaled Guesmi & Samir Saadi, 2019. "Study of the dynamic of Bitcoin's price," Working Papers halshs-02175669, HAL.

    Cited by:

    1. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.

  6. William Irungu Ng'Ang'A & Julien Chevallier & Simon Wagura Ndiritu, 2019. "Investigating Fiscal and Monetary Policies Coordination and Public Debt in Kenya: Evidence from regime-switching and self-exciting threshold autoregressive models," Working Papers halshs-02156495, HAL.

    Cited by:

    1. Hlongwane, Nyiko Worship & Daw, Olebogeng David, 2022. "Determinants of public debt in South Africa: A Regime-Switching Approach," MPRA Paper 113203, University Library of Munich, Germany.
    2. Ebenezer Olamide & Andrew Maredza & Kanayo Ogujiuba, 2022. "Monetary Policy, External Shocks and Economic Growth Dynamics in East Africa: An S-VAR Model," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    3. Olaoye, Olumide Olusegun & Olomola, P.A., 2022. "Empirical analysis of asymmetry phenomenon in the public debt structure of Sub-Saharan Africa's five biggest economies: A Markov-Switching model," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    4. Rufus Adebayo AJISAFE & Kazeem FASOYE & Musbau Olaniyan FATAI & Folorunsho M. AJIDE, 2022. "Optimal Fiscal and Monetary Policy Under Uncertainty in Nigeria: A Markov-Switching Dynamic Approach," Romanian Journal of Economics, Institute of National Economy, vol. 55(2(64)), pages 113-128, December.

  7. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "Financial Mathematics, Volatility and Covariance Modelling," Post-Print halshs-02183052, HAL.

    Cited by:

    1. Qiyue He & Anatoliy Swishchuk, 2019. "Quantitative and Comparative Analyses of Limit Order Books with General Compound Hawkes Processes," Risks, MDPI, vol. 7(4), pages 1-21, November.
    2. Anatoliy Swishchuk & Aiden Huffman, 2020. "General Compound Hawkes Processes in Limit Order Books," Risks, MDPI, vol. 8(1), pages 1-25, March.
    3. Christian Conrad & Robert F. Engle, 2021. "Modelling Volatility Cycles: The (MF)2 GARCH Model," Working Paper series 21-05, Rimini Centre for Economic Analysis.
    4. Alessandra Amendola & Vincenzo Candila & Fabrizio Cipollini & Giampiero M. Gallo, 2020. "Doubly Multiplicative Error Models with Long- and Short-run Components," Papers 2006.03458, arXiv.org.
    5. Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model," CREATES Research Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
    6. Christian Conrad & Onno Kleen, 2020. "Two are better than one: Volatility forecasting using multiplicative component GARCH‐MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 19-45, January.
    7. Sucarrat, Genaro, 2020. "Identification of Volatility Proxies as Expectations of Squared Financial Return," MPRA Paper 101953, University Library of Munich, Germany.
    8. Anatoliy Swishchuk, 2021. "Merton Investment Problems in Finance and Insurance for the Hawkes-Based Models," Risks, MDPI, vol. 9(6), pages 1-13, June.

  8. Bangzhu Zhu & Runzhi Pang & Julien Chevallier & Yi-Ming Wei & Dinh-Tri Vo, 2019. "Including intangible costs into the cost-of-illness approach: a method refinement illustrated based on the PM2.5 economic burden in China," Working Papers 2019-010, Department of Research, Ipag Business School.

    Cited by:

    1. Frida Schain & Nurgul Batyrbekova & Johan Liwing & Simona Baculea & Thomas Webb & Mats Remberger & Jonas Mattsson, 2021. "Real-world study of direct medical and indirect costs and time spent in healthcare in patients with chronic graft versus host disease," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 169-180, February.
    2. Castells-Quintana, David & Dienesch, Elisa & Krause, Melanie, 2021. "Air pollution in an urban world: A global view on density, cities and emissions," Ecological Economics, Elsevier, vol. 189(C).

  9. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

    Cited by:

    1. Monica Billio & Roberto Casarin & Michele Costola & Lorenzo Frattarolo, 2019. "Opinion Dynamics and Disagreements on Financial Networks," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 24-51, December.

  10. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating Provincial CO2 Quotas for the Chinese National Carbon Program," Working Papers 2018-010, Department of Research, Ipag Business School.

    Cited by:

    1. Yue‐Jun Zhang & Jing‐Yue Liu & Richard T. Woodward, 2023. "Has Chinese Certified Emission Reduction trading reduced rural poverty in China?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 438-458, July.
    2. Tang, Kai & He, Chuantian & Ma, Chunbo & Wang, Dong, 2019. "Does carbon farming provide a cost-effective option to mitigate GHG emissions? Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    3. Shuhong Wang & Xiaojing Yi, 2023. "Can the Financial Industry ‘Anchor’ Carbon Emission Reductions?— The Mediating and Moderating Effects of the Technology Market," Energy & Environment, , vol. 34(3), pages 533-559, May.
    4. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
    5. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    6. Zi‐rui Chen & Pu‐yan Nie, 2020. "Implications of a cap‐and‐trade system for emission reductions under an asymmetric duopoly," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3135-3145, December.
    7. Shi, Wei & Li, Wei & Qiao, Fuwei & Wang, Weijuan & An, Yi & Zhang, Guowei, 2023. "An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction," Energy Policy, Elsevier, vol. 182(C).
    8. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.

  11. Khaled Guesmi & Ilyes Abid & Anna Creti & Julien Chevallier, 2018. "Oil Price Risk and Financial Contagion," Post-Print hal-02314038, HAL.

    Cited by:

    1. Abid, Ilyes & Goutte, Stéphane & Guesmi, Khaled & Jamali, Ibrahim, 2019. "Transmission of shocks and contagion from U.S. to MENA equity markets: The role of oil and gas markets," Energy Policy, Elsevier, vol. 134(C).
    2. Pick Schen Yip & Robert Brooks & Hung Xuan Do & Duc Khuong Nguyen, 2019. "Dynamic Volatility Spillover Effect between Oil and Agricultural Products," Working Papers 2019-009, Department of Research, Ipag Business School.
    3. Razek, Noha H.A. & Michieka, Nyakundi M., 2019. "OPEC and non-OPEC production, global demand, and the financialization of oil," Research in International Business and Finance, Elsevier, vol. 50(C), pages 201-225.
    4. Arthur J. Lin & Hai-Yen Chang, 2020. "Volatility Transmission from Equity, Bulk Shipping, and Commodity Markets to Oil ETF and Energy Fund—A GARCH-MIDAS Model," Mathematics, MDPI, vol. 8(9), pages 1-21, September.
    5. Sunil K. Mohanty & Stein Frydenberg & Petter Osmundsen & Sjur Westgaard & Christian Skjøld, 2023. "Risk factors in stock returns of U.S. oil and gas companies: evidence from quantile regression analysis," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 715-746, February.
    6. Imane El Ouadghiri & Mathieu Gomes & Jonathan Peillex & Guillaume Pijourlet, 2022. "Investor Attention to the Fossil Fuel Divestment Movement and Stock Returns," Post-Print hal-03549713, HAL.
    7. Dinesh Gajurel & Akhila Chawla, 2022. "The oil price crisis and contagion effects on the Canadian economy," Applied Economics, Taylor & Francis Journals, vol. 54(13), pages 1527-1543, March.
    8. Arthur Jin Lin, 2023. "Volatility Contagion from Bulk Shipping and Petrochemical Industries to Oil Futures Market during the Economic Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-19, August.

  12. William Irungu Nganga & Julien Chevallier & Simon Wagura Ndiritu, 2018. "Regime changes and fiscal sustainability in Kenya with comparative nonlinear Granger causalities across East-African countries," Working Papers halshs-01941226, HAL.

    Cited by:

    1. Chemnyongoi, Hellen, 2023. "Fiscal Policy Sustainability in Kenya," African Journal of Economic Review, African Journal of Economic Review, vol. 7(4), June.
    2. Irungu, William Nganga & Chevallier, Julien & Ndiritu, Simon Wagura, 2020. "Regime changes and fiscal sustainability in Kenya," Economic Modelling, Elsevier, vol. 86(C), pages 1-9.

  13. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.

    Cited by:

    1. Wu, Nan & Wen, Fenghua & Gong, Xu, 2022. "Marionettes behind co-movement of commodity prices: Roles of speculative and hedging activities," Energy Economics, Elsevier, vol. 115(C).
    2. Jozef Baruník & Evžen Kocenda, 2019. "Total, Asymmetric and Frequency Connectedness Between Oil and Forex Markets," CESifo Working Paper Series 7756, CESifo.
    3. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    4. Derek W. Bunn, 2021. "Observations on “Risk Transmission Across Supply Chains”," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4588-4589, December.
    5. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).
    6. Okhrin, Yarema & Uddin, Gazi Salah & Yahya, Muhammad, 2023. "Nonlinear and asymmetric interconnectedness of crude oil with financial and commodity markets," Energy Economics, Elsevier, vol. 125(C).
    7. Rousse, O. & Sévi, B., 2016. "Informed trading in oil-futures market," Working Papers 2016-07, Grenoble Applied Economics Laboratory (GAEL).
    8. Lyócsa, Štefan & Molnár, Peter, 2018. "Exploiting dependence: Day-ahead volatility forecasting for crude oil and natural gas exchange-traded funds," Energy, Elsevier, vol. 155(C), pages 462-473.
    9. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Guan, Qing & An, Haizhong, 2017. "The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic," Applied Energy, Elsevier, vol. 203(C), pages 154-163.
    11. Li, Fengyun & Li, Xingmei & Zheng, Haofeng & Yang, Fei & Dang, Ruinan, 2021. "How alternative energy competition shocks natural gas development in China: A novel time series analysis approach," Resources Policy, Elsevier, vol. 74(C).
    12. Kim, Jong-Min & Tabacu, Lucia & Jung, Hojin, 2020. "A quantile-copula approach to dependence between financial assets," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. Halser, Christoph & Paraschiv, Florentina & Russo, Marianna, 2023. "Oil–gas price relationships on three continents: Disruptions and equilibria," Journal of Commodity Markets, Elsevier, vol. 31(C).
    14. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
    15. Jonathan Doh & Pawan Budhwar & Geoffrey Wood, 2021. "Long-term energy transitions and international business: Concepts, theory, methods, and a research agenda," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(5), pages 951-970, July.

  14. Zhu Bangzhu & Julien Chevallier, 2017. "Pricing and Forecasting Carbon Markets: Models and Empirical Analyses," Post-Print hal-02879366, HAL.

    Cited by:

    1. Liudmila Reshetnikova & Natalia Boldyreva & Anton Devyatkov & Zhanna Pisarenko & Danila Ovechkin, 2023. "Carbon Pricing in Current Global Institutional Changes," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Weijia Shao & Lukas Friedemann Radke & Fikret Sivrikaya & Sahin Albayrak, 2021. "Adaptive Online Learning for the Autoregressive Integrated Moving Average Models," Mathematics, MDPI, vol. 9(13), pages 1-30, June.
    3. Madeline Hui Li Lee & Yee Chee Ser & Ganeshsree Selvachandran & Pham Huy Thong & Le Cuong & Le Hoang Son & Nguyen Trung Tuan & Vassilis C. Gerogiannis, 2022. "A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    4. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    5. Emmanuel Senyo Fianu, 2022. "Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach," Forecasting, MDPI, vol. 4(2), pages 1-27, June.

  15. Julien Chevallier & Duc Khuong Nguyen & Jonathan Siverskog & Gazi Salah Uddin, 2017. "Market Integration and Financial Linkages among Stock Markets in Pacific Basin Countries," Working Papers 2017-005, Department of Research, Ipag Business School.

    Cited by:

    1. Vo, Dinh-Tri, 2021. "Dependency on FDI inflows and stock market linkages," Finance Research Letters, Elsevier, vol. 38(C).
    2. Vuong, Giang Thi Huong & Nguyen, Manh Huu & Huynh, Anh Ngoc Quang, 2022. "Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    3. Jung-Bin Su, 2022. "The Research on the Interactions between the Emerging and Developed Markets: From Region and Structural Break Perspectives," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    4. Mardi Dungey & Moses Kangogo & Vladimir Volkov, 2022. "Dynamic effects of network exposure on equity markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 569-629, December.
    5. Ashfaq, Saira & Ayub, Usman & Mujtaba, Ghulam & Raza, Naveed & Gulzar, Saqib, 2021. "Gainers and losers with higher order portfolio risk optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Cao, Li & Jiang, Junhua & Piljak, Vanja, 2023. "Did mega-regional trade agreements reshuffle the financial influence of the US, China, and Japan in ASEAN? Evidence from the volatility-spillover effects," Research in International Business and Finance, Elsevier, vol. 65(C).
    7. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    8. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    9. Charfeddine, Lanouar & Al Refai, Hisham, 2019. "Political tensions, stock market dependence and volatility spillover: Evidence from the recent intra-GCC crises," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    10. Chen, Yuxuan & Chiu, Junmao & Chung, Huimin, 2022. "Givers or Receivers? Return and volatility spillovers between Fintech and the Traditional Financial Industry," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Nguyen, Duc Khuong, 2023. "Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 191-199.
    12. Ngo Thai Hung, 2021. "Financial connectedness of GCC emerging stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 753-773, December.
    13. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
    14. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    15. Jian, Zhihong & Lu, Haisong & Zhu, Zhican & Xu, Huiling, 2023. "Frequency heterogeneity of tail connectedness: Evidence from global stock markets," Economic Modelling, Elsevier, vol. 125(C).
    16. Chen, Yanhua & Li, Youwei & Pantelous, Athanasios & Stanley, Eugene, 2020. "Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach," MPRA Paper 101700, University Library of Munich, Germany.
    17. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    18. Ahmed Shafique Joyo & Lin Lefen, 2019. "Stock Market Integration of Pakistan with Its Trading Partners: A Multivariate DCC-GARCH Model Approach," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
    19. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo & Simshauer, Paul, 2022. "Renewable energy and portfolio volatility spillover effects of GCC oil exporting countries," MPRA Paper 114164, University Library of Munich, Germany.
    20. Sowmya Subramaniam & David Gabauer & Rangan Gupta, 2018. "On the Transmission Mechanism of Asia-Pacific Yield Curve Characteristics," Working Papers 201864, University of Pretoria, Department of Economics.
    21. Muhammad Niaz Khan & Suzanne G. M. Fifield & Nongnuch Tantisantiwong & David M. Power, 2022. "Changes in co-movement and risk transmission between South Asian stock markets amidst the development of regional co-operation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 87-117, March.
    22. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin, 2018. "Heterogeneous dependence and dynamic hedging between sectors of BRIC and global markets," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 117-133.
    23. Ngo Thai Hung, 2020. "Market integration among foreign exchange rate movements in central and eastern European countries," Society and Economy, Akadémiai Kiadó, Hungary, vol. 42(1), pages 1-20, March.

  16. Frédéric Branger & P. Quirion & Julien Chevallier, 2016. "Carbon Leakage and Competitiveness of Cement and Steel Industries Under the EU ETS: Much Ado About Nothing," Post-Print hal-01425095, HAL.

    Cited by:

    1. Shaikh M. S. U. Eskander & Sam Fankhauser, 2023. "The Impact of Climate Legislation on Trade-Related Carbon Emissions 1996–2018," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 167-194, May.
    2. Antoine Dechezleprêtre & Misato Sato, 2017. "The Impacts of Environmental Regulations on Competitiveness," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 183-206.
    3. Frédéric Branger & Misato Sato, 2015. "Solving the clinker dilemma with hybrid output-based allocation," GRI Working Papers 201, Grantham Research Institute on Climate Change and the Environment.
    4. Eskander, Shaikh & Fankhauser, Samuel, 2021. "The impact of climate legislation on trade-related carbon emissions, 1997–2017," LSE Research Online Documents on Economics 111509, London School of Economics and Political Science, LSE Library.
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    7. Fabio Antoniou & Panos Hatzipanayotou & Nikos Tsakiris, 2023. "Regulatory Stringency and Emission Leakage Mitigation," DEOS Working Papers 2302, Athens University of Economics and Business.
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    11. Özge Demiral & Mehmet Demiral & Emine Dilara Aktekin‐Gök, 2022. "Extra‐regional trade and consumption‐based carbon dioxide emissions in the European countries: Is there a carbon leakage?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1987-2001, December.
    12. Julien Bueb & Lilian Richieri Hanania & Alice Leclezio, 2016. "Border adjustment mechanisms : Elements for economic, legal, and political analysis," Sciences Po publications 2016/20, Sciences Po.
    13. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among carbon, traditional/new energy and material markets of China in pre- and post-COVID-19 outbreak periods," Energy, Elsevier, vol. 246(C).
    14. Antoine Dechezleprêtre & Caterina Gennaioli & Ralf Martin & Mirabelle Muûls & Thomas Stoerk, 2019. "Searching for Carbon Leaks in Multinational Companies," Working Papers 97, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    15. Hélène Ollivier & Geoffrey Barrows, 2021. "Foreign Demand, Developing Country Exports, and CO2 Emissions: Firm-Level Evidence from India," Post-Print halshs-03029861, HAL.
    16. Vögele, Stefan & Grajewski, Matthias & Govorukha, Kristina & Rübbelke, Dirk, 2020. "Challenges for the European steel industry: Analysis, possible consequences and impacts on sustainable development," Applied Energy, Elsevier, vol. 264(C).
    17. Stede, Jan & Pauliuk, Stefan & Hardadi, Gilang & Neuhoff, Karsten, 2021. "Carbon pricing of basic materials: Incentives and risks for the value chain and consumers," Ecological Economics, Elsevier, vol. 189(C).
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    19. Anissa Nurdiawati & Frauke Urban, 2021. "Towards Deep Decarbonisation of Energy-Intensive Industries: A Review of Current Status, Technologies and Policies," Energies, MDPI, vol. 14(9), pages 1-33, April.
    20. Stefan Vögele & Dirk Rübbelke & Kristina Govorukha & Matthias Grajewski, 2020. "Socio-technical scenarios for energy-intensive industries: the future of steel production in Germany," Climatic Change, Springer, vol. 162(4), pages 1763-1778, October.
    21. Hille, Erik, 2014. "Pollution havens: International empirical evidence using a shadow price measure of climate policy stringency," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100551, Verein für Socialpolitik / German Economic Association.
    22. Mohamed Amine Boutabba & Sandrine Lardic, 2017. "EU Emissions Trading Scheme, competitiveness and carbon leakage: new evidence from cement and steel industries," Annals of Operations Research, Springer, vol. 255(1), pages 47-61, August.
    23. Bierbrauer, Felix & Felbermayr, Gabriel & Ockenfels, Axel & Schmidt, Klaus M. & Südekum, Jens, 2021. "A CO2-border adjustment mechanism as a building block of a climate club," Kiel Policy Brief 151, Kiel Institute for the World Economy (IfW Kiel).
    24. Sadayuki, Taisuke & Arimura, Toshi H., 2021. "Do regional emission trading schemes lead to carbon leakage within firms? Evidence from Japan," Energy Economics, Elsevier, vol. 104(C).
    25. Geoffrey Barrows & Helene Ollivier, 2018. "Foreign Demand and Greenhouse Gas Emissions: Empirical Evidence with Implications for Leakage," Working Papers 2018.16, FAERE - French Association of Environmental and Resource Economists.
    26. Josef Gotvald, 2024. "The role of environmental taxes and other political instruments on the road to climate neutrality [Role environmentálních daní a dalších politických nástrojů na cestě za klimatickou neutralitou]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2024(1), pages 47-76.
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    28. Mireille Chiroleu-Assouline & Mouez Fodha, 2023. "Dette, taxe et politique environnementale," Revue française d'économie, Presses de Sciences-Po, vol. 0(1), pages 55-106.
    29. Lin, Weiming & Chen, Jianling & Zheng, Yi & Dai, Yongwu, 2019. "Effects of the EU Emission Trading Scheme on the international competitiveness of pulp-and-paper industry," Forest Policy and Economics, Elsevier, vol. 109(C).
    30. Arik Levinson, 2021. "Globalization and Greenhouse Gas Emissions: Evidence from the United States," Working Papers gueconwpa~21-21-01, Georgetown University, Department of Economics.
    31. Stefano F. Verde & Christoph Graf & Thijs Jong and Claudio Marcantonini, 2016. "Installation entries and exits in the EU ETS industrial sector," RSCAS Working Papers 2016/19, European University Institute.
    32. Dechezleprêtre, Antoine & Gennaioli, Caterina & Martin, Ralf & Muuls, Mirabelle & Stoerk, Thomas, 2019. "Searching for carbon leaks in multinational companies," LSE Research Online Documents on Economics 102615, London School of Economics and Political Science, LSE Library.
    33. Alex Borodin & Vladislav Zaitsev & Zahid F. Mamedov & Galina Panaedova & Andrey Kulikov, 2022. "Mechanisms for Tax Regulation of CO 2 -Equivalent Emissions," Energies, MDPI, vol. 15(19), pages 1-15, September.
    34. Vrontisi, Zoi & Charalampidis, Ioannis & Paroussos, Leonidas, 2020. "What are the impacts of climate policies on trade? A quantified assessment of the Paris Agreement for the G20 economies," Energy Policy, Elsevier, vol. 139(C).
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    38. Julien Bueb & Lilian Richieri Hanania & Alice Leclezio, 2017. "Border Adjustment Mechanisms: Elements for Economic, Legal, and Political Analysis," Sciences Po publications info:hdl:2441/3fenpfdsd19, Sciences Po.
    39. Svetlana V. Doroshenko & Anna D. Mingaleva, 2020. "Carbon Exchanges: European Experience in Developing the Mechanism of Emission Permit Trading," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 52-68, August.
    40. Rissman, Jeffrey & Bataille, Chris & Masanet, Eric & Aden, Nate & Morrow, William R. & Zhou, Nan & Elliott, Neal & Dell, Rebecca & Heeren, Niko & Huckestein, Brigitta & Cresko, Joe & Miller, Sabbie A., 2020. "Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070," Applied Energy, Elsevier, vol. 266(C).
    41. Wu, Libo & Zhou, Ying & Qian, Haoqi, 2022. "Global actions under the Paris agreement: Tracing the carbon leakage flow and pursuing countermeasures," Energy Economics, Elsevier, vol. 106(C).
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  17. Sofiane Aboura & Julien Chevallier, 2016. "Oil vs. gasoline: The dark side of volatility and taxation," Post-Print halshs-01348705, HAL.

    Cited by:

    1. Palencia-González, Francisco J. & Navío-Marco, Julio & Juberías-Cáceres, Gema, 2020. "Analysis of brand influence in the rockets and feathers effect using disaggregated data," Research in International Business and Finance, Elsevier, vol. 52(C).

  18. Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2016. "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Working Papers 2016-004, Department of Research, Ipag Business School.

    Cited by:

    1. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    2. Flavio Barboza & Geraldo Nunes Silva & José Augusto Fiorucci, 2023. "A review of artificial intelligence quality in forecasting asset prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1708-1728, November.
    3. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    4. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    5. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    6. He Jiang, 2023. "Forecasting global solar radiation using a robust regularization approach with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 1989-2010, December.
    7. Feng, Ling & Wang, Jieyu, 2023. "Random sources correlations and carbon futures pricing," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021. "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 537-575, February.
    9. Zhidan Luo & Wei Guo & Qingfu Liu & Yiuman Tse, 2023. "A hybrid prediction model with time‐varying gain tracking differentiator in Taylor expansion: Evidence from precious metals," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1138-1149, August.
    10. Wei Sun & Ming Duan, 2019. "Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machin," Energies, MDPI, vol. 12(2), pages 1-27, January.
    11. Lingohr, Daniel & Müller, Gernot, 2019. "Stochastic modeling of intraday photovoltaic power generation," Energy Economics, Elsevier, vol. 81(C), pages 175-186.
    12. Yang, Dongchuan & Guo, Ju-e & Li, Yanzhao & Sun, Shaolong & Wang, Shouyang, 2023. "Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach," Energy, Elsevier, vol. 263(PA).
    13. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    14. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    15. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    16. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    17. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    18. Ehsan Mansouri & Maeve Manfredi & Jong-Wan Hu, 2022. "Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    19. Huang, Zhehao & Dong, Hao & Jia, Shuaishuai, 2022. "Equilibrium pricing for carbon emission in response to the target of carbon emission peaking," Energy Economics, Elsevier, vol. 112(C).
    20. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    21. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    22. Jiang Wu & Yu Chen & Tengfei Zhou & Taiyong Li, 2019. "An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting," Energies, MDPI, vol. 12(7), pages 1-23, April.
    23. Jiang Wu & Feng Miu & Taiyong Li, 2020. "Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market," Energies, MDPI, vol. 13(7), pages 1-20, April.
    24. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    25. Shenghua Xiong & Chunfeng Wang & Zhenming Fang & Dan Ma, 2019. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm," Energies, MDPI, vol. 12(1), pages 1-21, January.
    26. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    27. Qin, Quande & Xie, Kangqiang & He, Huangda & Li, Li & Chu, Xianghua & Wei, Yi-Ming & Wu, Teresa, 2019. "An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction," Energy Economics, Elsevier, vol. 83(C), pages 402-414.
    28. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    29. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.
    30. Wang, Jujie & Cui, Quan & He, Maolin, 2022. "Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    31. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.

  19. Sofiane Aboura & Julien Chevallier, 2016. "Spikes and crashes in the oil market," Post-Print halshs-01348711, HAL.

    Cited by:

    1. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    2. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    3. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    4. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).

  20. Sofiane Aboura & Julien Chevallier, 2015. "Volatility returns with vengeance: Financial markets vs. commodities," Post-Print hal-01529747, HAL.

    Cited by:

    1. Shank, Corey A. & Vianna, Andre C., 2016. "Are US-Dollar-Hedged-ETF investors aggressive on exchange rates? A panel VAR approach," Research in International Business and Finance, Elsevier, vol. 38(C), pages 430-438.
    2. Fernanda Fuentes & Rodrigo Herrera & Adam Clements, 2016. "Modelling Extreme Risks in Commodities and Commodity Currencies," NCER Working Paper Series 115, National Centre for Econometric Research.
    3. Sila Alan, Nazli & Karagozoglu, Ahmet K. & Korkmaz, Sibel, 2016. "Growing pains: The evolution of new stock index futures in emerging markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 1-16.
    4. Tanha, Hassan & Dempsey, Michael, 2015. "The asymmetric response of volatility to market changes and the volatility smile: Evidence from Australian options," Research in International Business and Finance, Elsevier, vol. 34(C), pages 164-176.
    5. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 277-285.
    6. Belhassine, Olfa, 2020. "Volatility spillovers and hedging effectiveness between the oil market and Eurozone sectors: A tale of two crises," Research in International Business and Finance, Elsevier, vol. 53(C).
    7. Morrison, Eleanor J., 2019. "Energy price implications for emerging market bond returns," Research in International Business and Finance, Elsevier, vol. 50(C), pages 398-415.
    8. Bouri, Elie & Jain, Anshul & Biswal, P.C. & Roubaud, David, 2017. "Cointegration and nonlinear causality amongst gold, oil, and the Indian stock market: Evidence from implied volatility indices," Resources Policy, Elsevier, vol. 52(C), pages 201-206.
    9. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    10. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    11. Andriosopoulos, Kostas & Galariotis, Emilios & Spyrou, Spyros, 2017. "Contagion, volatility persistence and volatility spill-overs: The case of energy markets during the European financial crisis," Energy Economics, Elsevier, vol. 66(C), pages 217-227.
    12. Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
    13. F. Benedetto & L. Mastroeni & P. Vellucci, 2021. "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, vol. 299(1), pages 1235-1252, April.
    14. Karyotis, Catherine & Alijani, Sharam, 2016. "Soft commodities and the global financial crisis: Implications for the economy, resources and institutions," Research in International Business and Finance, Elsevier, vol. 37(C), pages 350-359.
    15. Muhammad Abubakr Naeem & Saqib Farid & Safwan Mohd Nor & Syed Jawad Hussain Shahzad, 2021. "Spillover and Drivers of Uncertainty among Oil and Commodity Markets," Mathematics, MDPI, vol. 9(4), pages 1-26, February.
    16. Huchet, Nicolas & Fam, Papa Gueye, 2016. "The role of speculation in international futures markets on commodity prices," Research in International Business and Finance, Elsevier, vol. 37(C), pages 49-65.
    17. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    18. Ibhagui, Oyakhilome, 2021. "Stock market and deviations from covered interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    19. Wang, Shu & Zhou, Baicheng & Gao, Tianshu, 2023. "Speculation or actual demand? The return spillover effect between stock and commodity markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
    20. Akkoc, Ugur & Civcir, Irfan, 2019. "Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model," Resources Policy, Elsevier, vol. 62(C), pages 231-239.
    21. Konstantinos Tsiaras, 2020. "Contagion in Futures Metal Markets during the Recent Global Financial Crisis: Evidence from Gold, Silver, Copper, Zinc and Aluminium," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(3-4), pages 42-55, July-Dece.
    22. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.

  21. Zhu, Bangzhu & Wang, Kefan & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Post-Print hal-02875959, HAL.

    Cited by:

    1. Changfei Nie & Wen Luo & Yuan Feng & Zhi Chen, 2023. "The Impact of Economic Growth Target Constraints on Environmental Pollution: Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    2. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
    3. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    4. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    5. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    6. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    7. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
    8. Yannan Zhou & Jixia Huang & Mingxiang Huang & Yicheng Lin, 2019. "The Driving Forces of Carbon Dioxide Equivalent Emissions Have Spatial Spillover Effects in Inner Mongolia," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    9. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    10. Xiaofei Han & Jianling Jiao & Lancui Liu & Lanlan Li, 2017. "China’s energy demand and carbon dioxide emissions: do carbon emission reduction paths matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1333-1345, April.
    11. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    12. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    13. Qi Jiang & Zhigang Yin, 2023. "The Optimal Path for China to Achieve the “Dual Carbon” Target from the Perspective of Energy Structure Optimization," Sustainability, MDPI, vol. 15(13), pages 1-32, June.
    14. Fei Ye & Xinxiu Xie & Li Zhang & Xiaoling Hu, 2018. "An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China," Energies, MDPI, vol. 11(1), pages 1-16, January.
    15. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
    16. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    17. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    18. Yu, Yongze & Li, Ke & Duan, Shenglan & Song, Chenchen, 2023. "Economic growth and environmental pollution in China: New evidence from government work reports," Energy Economics, Elsevier, vol. 124(C).
    19. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    20. Ying QU & Yue LIU, 2017. "Evaluating the low-carbon development of urban China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 939-953, June.
    21. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    22. Shi, Daqian & Yang, Zhijiu & Ji, Hongkun, 2022. "Energy target-based responsibility system and corporate energy efficiency: Evidence from the eleventh Five Year Plan in China," Energy Policy, Elsevier, vol. 169(C).
    23. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.
    24. Sarfraz, Muddassar & Iqbal, Kashif & Wang, Yichu & Bhutta, Muhammad Shoaib & Jaffri, Zain ul Abidin, 2023. "Role of agricultural resource sector in environmental emissions and its explicit relationship with sustainable development: Evidence from agri-food system in China," Resources Policy, Elsevier, vol. 80(C).
    25. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    26. Boqiang Lin & Chongchong Xu, 2024. "Evaluating the effect of green fiscal policy on firm energy performance: evidence from China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-29, April.
    27. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
    28. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
    29. Min Zhao & Yu Fang & Debao Dai, 2023. "Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    30. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
    31. Zhen, Wei & Qin, Quande & Qian, Xiaoying & Wei, Yi-Ming, 2018. "Inequality across China's Staple Crops in Energy Consumption and Related GHG Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 17-30.

  22. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.

    Cited by:

    1. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    2. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.

  23. Sofiane Aboura & Julien Chevallier, 2015. "A cross-volatility index for hedging the country risk," Post-Print hal-01529742, HAL.

    Cited by:

    1. Ching-Chun Wei, 2016. "Empirical Analysis of ¡°Volatility Surprise¡± between Dollar Exchange Rate and CRB Commodity Future Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 117-126, September.
    2. Cañón Salazar Carlos Iván & Gallón Santiago & Olivar Santiago, 2016. "Functional Systemic Risk, Complementarities and Early Warnings," Working Papers 2016-12, Banco de México.
    3. Guido Bonatti & Andrea Ciacci & Enrico Ivaldi, 2021. "Different Measures of Country Risk: An Application to European Countries," JRFM, MDPI, vol. 14(1), pages 1-16, January.
    4. Kilic, Erdem, 2017. "Contagion effects of U.S. Dollar and Chinese Yuan in forward and spot foreign exchange markets," Economic Modelling, Elsevier, vol. 62(C), pages 51-67.

  24. Julien Chevallier & Sofiane Aboura, 2014. "Cross-market index with Factor-DCC," Post-Print hal-01531234, HAL.

    Cited by:

    1. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    2. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    3. Tsuji, Chikashi, 2018. "New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries," Applied Energy, Elsevier, vol. 229(C), pages 1202-1217.

  25. Bangzhu Zhu & Shujiao Ma & Julien Chevallier & Yiming Wei, 2014. "Modeling the dynamics of European carbon futures price: a Zipf analysis," Working Papers 2014-155, Department of Research, Ipag Business School.

    Cited by:

    1. Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
    2. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    3. Fan, Xinghua & Li, Xuxia & Yin, Jiuli & Tian, Lixin & Liang, Jiaochen, 2019. "Similarity and heterogeneity of price dynamics across China’s regional carbon markets: A visibility graph network approach," Applied Energy, Elsevier, vol. 235(C), pages 739-746.
    4. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
    5. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
    6. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    7. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    8. 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.
    9. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    10. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    11. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    12. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1323-1343, June.
    13. 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.
    14. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    15. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.

  26. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Post-Print hal-01531250, HAL.

    Cited by:

    1. Jana Vychytilová, 2014. "Intermarket Technical Research of the U.S. Capital Markets and the Czech Stock Market Performance," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(6), pages 1509-1519.

  27. Sofiane Aboura & Julien Chevallier, 2014. "Cross-Market Spillovers with ‘Volatility Surprise’," EconomiX Working Papers 2014-46, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Baumöhl, Eduard & Kočenda, Evžen & Lyócsa, Štefan & Výrost, Tomáš, 2018. "Networks of volatility spillovers among stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1555-1574.
    2. Jozef Baruník & Evžen Kocenda, 2019. "Total, Asymmetric and Frequency Connectedness Between Oil and Forex Markets," CESifo Working Paper Series 7756, CESifo.
    3. Zhang, Weiping & Zhuang, Xintian, 2019. "The stability of Chinese stock network and its mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 748-761.
    4. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    5. Baklaci, Hasan Fehmi & Aydoğan, Berna & Yelkenci, Tezer, 2020. "Impact of stock market trading on currency market volatility spillovers," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. Shah, Adil Ahmad & Dar, Arif Billah, 2022. "Asymmetric, time and frequency-based spillover transmission in financial and commodity markets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    7. Ngene, Geoffrey M., 2021. "What drives dynamic connectedness of the U.S equity sectors during different business cycles?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Kanamura, Takashi, 2016. "Role of carbon swap trading and energy prices in price correlations and volatilities between carbon markets," Energy Economics, Elsevier, vol. 54(C), pages 204-212.
    9. Gagan Sharma & Parthajit Kayal & Piyush Pandey, 2019. "Information Linkages Among BRICS Countries: Empirical Evidence from Implied Volatility Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 263-289, December.
    10. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.

  28. Julien Chevallier & Stéphane Goutte, 2014. "Detecting jumps and regime-switches in international stock markets returns," Working Papers hal-01090833, HAL.

    Cited by:

    1. Samuel Asante Gyamerah & Philip Ngare & Dennis Ikpe, 2018. "Regime-Switching Temperature Dynamics Model for Weather Derivatives," Papers 1808.04710, arXiv.org.
    2. Andrea Bucci & Vito Ciciretti, 2021. "Market Regime Detection via Realized Covariances: A Comparison between Unsupervised Learning and Nonlinear Models," Papers 2104.03667, arXiv.org.
    3. Hainaut, Donatien & Moraux, Franck, 2019. "A switching self-exciting jump diffusion process for stock prices," LIDAM Reprints ISBA 2019017, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Asante Gyamerah, Samuel & Ngare, Philip & Ikpe, Dennis, 2018. "A Levy Regime-Switching Temperature Dynamics Model for Weather Derivatives," MPRA Paper 89680, University Library of Munich, Germany, revised 10 Jul 2018.
    5. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2019. "Regime switching dynamic correlations for asymmetric and fat-tailed conditional returns," Journal of Econometrics, Elsevier, vol. 213(2), pages 493-515.

  29. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Post-Print hal-01474249, HAL.

    Cited by:

    1. Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
    2. Yuanfeng Hu & Yixiang Tian & Luping Zhang, 2023. "Green Bond Pricing and Optimization Based on Carbon Emission Trading and Subsidies: From the Perspective of Externalities," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    3. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    4. Mason, Charles F. & A. Wilmot, Neil, 2014. "Jump processes in natural gas markets," Energy Economics, Elsevier, vol. 46(S1), pages 69-79.
    5. Bai, Yiyi & Okullo, Samuel J., 2023. "Drivers and pass-through of the EU ETS price: Evidence from the power sector," Energy Economics, Elsevier, vol. 123(C).
    6. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
    7. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    8. Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Charles F. Mason & Neil A. Wilmot, 2023. "On Climate Fat Tails and Politics," CESifo Working Paper Series 10815, CESifo.
    10. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    11. Coleman, Andrew, 2018. "Forest-based carbon sequestration, and the role of forward, futures, and carbon-lending markets: A comparative institutions approach," Journal of Forest Economics, Elsevier, vol. 33(C), pages 95-104.
    12. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    13. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.

  30. Julien Chevallier & Sofiane Aboura, 2014. "Volatility equicorrelation: A cross-market perspective," Post-Print hal-01531237, HAL.

    Cited by:

    1. Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. R. REYTIER & A. Blanes & Q. Gaucher & S. Thiam & P. Debled, 2015. "Behavior of Covariance Matrices with Equi-Correlation Approach," Proceedings of International Academic Conferences 2805027, International Institute of Social and Economic Sciences.
    3. Mensi, Walid & Hammoudeh, Shawkat & Rehman, Mobeen Ur & Al-Maadid, Alanoud Ali S. & Hoon Kang, Sang, 2020. "Dynamic risk spillovers and portfolio risk management between precious metals and global foreign exchange markets," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    4. Ching-Chun Wei, 2016. "Empirical Analysis of ¡°Volatility Surprise¡± between Dollar Exchange Rate and CRB Commodity Future Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 117-126, September.
    5. Cui, Jinxin & Goh, Mark & Zou, Huiwen, 2021. "Coherence, extreme risk spillovers, and dynamic linkages between oil and China’s commodity futures markets," Energy, Elsevier, vol. 225(C).
    6. Mensi, Walid & Hammoudeh, Shawkat & Al-Jarrah, Idries Mohammad Wanas & Sensoy, Ahmet & Kang, Sang Hoon, 2017. "Dynamic risk spillovers between gold, oil prices and conventional, sustainability and Islamic equity aggregates and sectors with portfolio implications," Energy Economics, Elsevier, vol. 67(C), pages 454-475.
    7. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    8. Yilmaz, Mustafa K. & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2015. "Cross-sectoral interactions in Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 1-20.
    9. Ngo Thai Hung, 2021. "Directional Spillover Effects Between BRICS Stock Markets and Economic Policy Uncertainty," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 429-448, September.
    10. Bouri, Elie & Lucey, Brian & Roubaud, David, 2020. "The volatility surprise of leading cryptocurrencies: Transitory and permanent linkages," Finance Research Letters, Elsevier, vol. 33(C).
    11. Elsayed, Ahmed H. & Hammoudeh, Shawkat & Sousa, Ricardo M., 2021. "Inflation synchronization among the G7and China: The important role of oil inflation," Energy Economics, Elsevier, vol. 100(C).
    12. Kang, Sang Hoon & Uddin, Gazi Salah & Troster, Victor & Yoon, Seong-Min, 2019. "Directional spillover effects between ASEAN and world stock markets," Journal of Multinational Financial Management, Elsevier, vol. 52.
    13. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.

  31. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    3. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    4. Tian, Hu & Zheng, Xiaolong & Zeng, Daniel Danjun, 2019. "Analyzing the dynamic sectoral influence in Chinese and American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    5. Jihong Xiao & Xuehong Zhu & Chuangxia Huang & Xiaoguang Yang & Fenghua Wen & Meirui Zhong, 2019. "A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 287-310, January.
    6. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
    7. Zhou, Jie & Sun, Mei & Han, Dun & Gao, Cuixia, 2021. "Analysis of oil price fluctuation under the influence of crude oil stocks and US dollar index — Based on time series network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    8. Yelin Wang & Ping Yang & Zan Song & Julien Chevallier & Qingtai Xiao, 2024. "Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 711-740, February.
    9. Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari & Olaolu Richard Olayeni, 2015. "What Determines Bitcoin’s Value?," Working papers of CATT hal-01880330, HAL.
    10. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    11. Guoqiang Sun & Tong Chen & Zhinong Wei & Yonghui Sun & Haixiang Zang & Sheng Chen, 2016. "A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks," Energies, MDPI, vol. 9(1), pages 1-16, January.
    12. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    13. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    14. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    15. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    16. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati & Gupta, Rangan, 2016. "A historical analysis of the US stock price index using empirical mode decomposition over 1791-2015," Economics Discussion Papers 2016-9, Kiel Institute for the World Economy (IfW Kiel).
    17. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    18. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    19. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    20. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    21. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    22. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
    23. Chang-Jing Ji & Yu-Jie Hu & Bao-Jun Tang, 2018. "Research on carbon market price mechanism and influencing factors: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 761-782, June.
    24. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    25. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    26. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    27. Liu, Ying Lin & Zhang, Jing Jie & Fang, Yan, 2023. "The driving factors of China's carbon prices: Evidence from using ICEEMDAN-HC method and quantile regression," Finance Research Letters, Elsevier, vol. 54(C).
    28. Yanzhi Duan & Chunlei He & Li Yao & Yue Wang & Nan Tang & Zhong Wang, 2023. "Research on Risk Measurement of China’s Carbon Trading Market," Energies, MDPI, vol. 16(23), pages 1-28, December.
    29. Hanmin Dong & Xiujie Tan & Si Cheng & Yishuang Liu, 2023. "COVID-19, recovery policies and the resilience of EU ETS," Economic Change and Restructuring, Springer, vol. 56(5), pages 2965-2991, October.
    30. Zhou, Feite & Huang, Zhehao & Zhang, Changhong, 2022. "Carbon price forecasting based on CEEMDAN and LSTM," Applied Energy, Elsevier, vol. 311(C).
    31. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    32. Ramón Egea Pérez & Mónica Cortés-Molina & Francisco J. Navarro-González, 2021. "Analysis of Rainfall Time Series with Application to Calculation of Return Periods," Sustainability, MDPI, vol. 13(14), pages 1-18, July.

  32. Julien Chevallier & Florian Ielpo, 2013. "The Economics of Commodity Markets," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02879507, HAL.

    Cited by:

    1. Magkonis, Georgios & Tsouknidis, Dimitris A., 2017. "Dynamic spillover effects across petroleum spot and futures volatilities, trading volume and open interest," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 104-118.
    2. Takashi Miyazaki & Shigeyuki Hamori, 2016. "The determinants of a simultaneous crash in gold and stock markets: An ordered logit approach," Discussion Papers 1603, Graduate School of Economics, Kobe University.
    3. Jozef Baruník, Evzen Kocenda and Lukáa Vácha, 2015. "Volatility Spillovers Across Petroleum Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    4. Noureddine Benlagha & Wael Hemrit, 2022. "Does economic policy uncertainty matter to explain connectedness within the international sovereign bond yields?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 1-21, January.
    5. Górska, Anna & Krawiec, Monika, 2017. "Statistical Analysis of Soft Commodities Returns in the Period 2007-2016," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 17(32, Part ), December.
    6. Lin, Sihan & Chen, Shoudong, 2021. "Dynamic connectedness of major financial markets in China and America," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 646-656.
    7. Diebold, Francis X. & Liu, Laura & Yilmaz, Kamil, 2017. "Commodity connectedness," CFS Working Paper Series 575, Center for Financial Studies (CFS).
    8. Debasish Maitra & Varun Dawar, 2019. "Return and Volatility Spillover among Commodity Futures, Stock Market and Exchange Rate: Evidence from India," Global Business Review, International Management Institute, vol. 20(1), pages 214-237, February.
    9. Liu, Lu & Zhang, Xiang, 2019. "Financialization and commodity excess spillovers," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 195-216.
    10. Hayette Gatfaoui, 2019. "Diversifying portfolios of U.S. stocks with crude oil and natural gas: A regime-dependent optimization with several risk measures," Post-Print hal-02115626, HAL.
    11. Jean-François Carpantier, 2020. "Anything but gold. The golden constant revisited," LIDAM Discussion Papers IRES 2020036, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    12. Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.
    13. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
    14. Powell, Robert J. & Vo, Duc H. & Pham, Thach N. & Singh, Abhay K., 2017. "The long and short of commodity tails and their relationship to Asian equity markets," Journal of Asian Economics, Elsevier, vol. 52(C), pages 32-44.
    15. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A. & Fijorek, Kamil, 2018. "What drives food price volatility? Evidence based on a generalized VAR approach applied to the food, financial and energy markets," Economics Discussion Papers 2018-55, Kiel Institute for the World Economy (IfW Kiel).
    16. Mohammad Isleimeyyeh & Amine Ben Amar & Stéphane Goutte & Ramzi Benkraiem, 2022. "Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?," Post-Print hal-03674806, HAL.
    17. Brian M. Lucey, 2014. "Return and Volatility Spillovers in Industrial Metals," The Institute for International Integration Studies Discussion Paper Series iiisdp463, IIIS.
    18. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    19. Michal Čermák, 2017. "Leverage Effect and Stochastic Volatility in the Agricultural Commodity Market under the CEV Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1671-1678.
    20. Jahantigh , Forough & Rahmi Ghasemabadi , Mohammad & Jalali , Omolbanin, 2018. "The Impact of Monetary Policy Shock on the Price of Storable Goods: A Case Study of Food," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(4), pages 471-490, October.
    21. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    22. Fernandez, Viviana, 2015. "Influence in commodity markets: Measuring co‐movement globally," Resources Policy, Elsevier, vol. 45(C), pages 151-164.
    23. Muneesh Kumar & Tarunika Jain Agrawal & Srishti Sehgal, 2017. "Domestic and International Information Linkages for Indian Commodities Market in the Pre- and Post-CTT Periods," Metamorphosis: A Journal of Management Research, , vol. 16(2), pages 75-91, December.

  33. Julien Chevallier & Sofiane Aboura, 2013. "Leverage vs. Feedback: Which Effect Drives the Oil Market ?," Post-Print hal-01531283, HAL.

    Cited by:

    1. Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
    2. Sofiane Aboura & Julien Chevallier, 2016. "Spikes and crashes in the oil market," Post-Print halshs-01348711, HAL.
    3. Florian Ielpo & Benoît Sévi, 2014. "Forecasting the density of oil futures," Working Papers 2014-601, Department of Research, Ipag Business School.
    4. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    5. Lu, Xinjie & Ma, Feng & Wang, Jiqian & Wang, Jianqiong, 2020. "Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models," Energy, Elsevier, vol. 212(C).
    6. Julien Chevallier & Benoît Sévi, 2013. "A Fear Index to Predict Oil Futures Returns," Working Papers 2013.62, Fondazione Eni Enrico Mattei.
    7. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    8. Terence D. Agbeyegbe, 2015. "An inverted U‐shaped crude oil price return‐implied volatility relationship," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 28-45, November.
    9. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2020. "Risk appetite and oil prices," Energy Economics, Elsevier, vol. 85(C).
    10. Raggad, Bechir, 2023. "Can implied volatility predict returns on oil market? Evidence from Cross-Quantilogram Approach," Resources Policy, Elsevier, vol. 80(C).
    11. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    12. Bechir Raggad & Elie Bouri, 2023. "Quantile Dependence between Crude Oil Returns and Implied Volatility: Evidence from Parametric and Nonparametric Tests," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    13. Hiroyuki Okawa, 2023. "Markov-Regime Switches in Oil Markets: The Fear Factor Dynamics," JRFM, MDPI, vol. 16(2), pages 1-20, January.
    14. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    15. Ji, Qiang & Fan, Ying, 2016. "Modelling the joint dynamics of oil prices and investor fear gauge," Research in International Business and Finance, Elsevier, vol. 37(C), pages 242-251.
    16. Sheung Yin Kevin Mo & Anqi Liu & Steve Y. Yang, 2016. "News sentiment to market impact and its feedback effect," Environment Systems and Decisions, Springer, vol. 36(2), pages 158-166, June.
    17. Deeney, Peter & Cummins, Mark & Dowling, Michael & Bermingham, Adam, 2015. "Sentiment in oil markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 179-185.
    18. Liu, Bing-Yue & Ji, Qiang & Fan, Ying, 2017. "Dynamic return-volatility dependence and risk measure of CoVaR in the oil market: A time-varying mixed copula model," Energy Economics, Elsevier, vol. 68(C), pages 53-65.
    19. Geng, Jiang-Bo & Chen, Fu-Rui & Ji, Qiang & Liu, Bing-Yue, 2021. "Network connectedness between natural gas markets, uncertainty and stock markets," Energy Economics, Elsevier, vol. 95(C).
    20. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2021. "The day-of-the-week-effect on the volatility of commodities," Resources Policy, Elsevier, vol. 71(C).
    21. Ioannis Dokas & Georgios Oikonomou & Minas Panagiotidis & Eleftherios Spyromitros, 2023. "Macroeconomic and Uncertainty Shocks’ Effects on Energy Prices: A Comprehensive Literature Review," Energies, MDPI, vol. 16(3), pages 1-35, February.
    22. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    23. Jeng-Bau Lin & Wei Tsai, 2019. "The Relations of Oil Price Change with Fear Gauges in Global Political and Economic Environment," Energies, MDPI, vol. 12(15), pages 1-17, August.
    24. Fousekis, Panos, 2020. "Sign and size asymmetry in the stock returns-implied volatility relationship," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    25. Brice V. Dupoyet & Corey A. Shank, 2018. "Oil prices implied volatility or direction: Which matters more to financial markets?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(3), pages 275-295, August.
    26. Endri Endri & M. Iqbal Rasyid Supeni & Yanti Budiasih & Matdio Siahaan & A. Razak & Sudjono Sudjono, 2021. "Oil Price and Leverage for Mining Sector Companies in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 24-30.
    27. Li, Shuping & Li, Jianfeng & Lu, Xinsheng & Sun, Yihong, 2022. "Exploring the dynamic nonlinear relationship between crude oil price and implied volatility indices: A new perspective from MMV-MFDFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    28. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
    29. Luo, Xingguo & Qin, Shihua, 2017. "Oil price uncertainty and Chinese stock returns: New evidence from the oil volatility index," Finance Research Letters, Elsevier, vol. 20(C), pages 29-34.
    30. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    31. Nguyen, Duc Khuong & Sousa, Ricardo M. & Uddin, Gazi Salah, 2015. "Testing for asymmetric causality between U.S. equity returns and commodity futures returns," Finance Research Letters, Elsevier, vol. 12(C), pages 38-47.

  34. Julien Chevallier, 2013. "Understanding the link between aggregated industrial production and the carbon price," Post-Print halshs-00846340, HAL.

    Cited by:

    1. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.

  35. Julien, Chevallier & Sévi, Benoît, 2013. "A Fear Index to Predict Oil Futures Returns," Energy: Resources and Markets 156489, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    2. Da Fonseca, José & Ignatieva, Katja, 2019. "Jump activity analysis for affine jump-diffusion models: Evidence from the commodity market," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 45-62.
    3. Sun, Hang & Bos, Jaap W.B. & Li, Zhuo, 2017. "In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    5. Cortazar, Gonzalo & Ortega, Hector & Rojas, Maximiliano & Schwartz, Eduardo S., 2021. "Commodity index risk premium," Journal of Commodity Markets, Elsevier, vol. 22(C).
    6. José Renato Haas Ornelas & Roberto Baltieri Mauad, 2017. "Volatility Risk Premia and Future Commodity Returns," Working Papers Series 455, Central Bank of Brazil, Research Department.
    7. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
    8. Da Fonseca, José & Xu, Yahua, 2017. "Higher moment risk premiums for the crude oil market: A downside and upside conditional decomposition," Energy Economics, Elsevier, vol. 67(C), pages 410-422.
    9. Marinela Adriana Finta & José Renato Haas Ornelas, 2018. "Commodity Return Predictability: evidence from implied variance, skewness and their risk premia and their risk premia," Working Papers Series 479, Central Bank of Brazil, Research Department.
    10. Finta, Marinela Adriana & Ornelas, José Renato Haas, 2022. "Commodity return predictability: Evidence from implied variance, skewness, and their risk premia☆☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    11. Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.

  36. Benoit Cheze & Pascal Gastineau & Julien Chevallier, 2012. "Air traffic energy efficiency differs from place to place: new results from a macro-level approach," Working Papers 1205, Chaire Economie du climat.

    Cited by:

    1. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l'œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Post-Print halshs-01716169, HAL.
    2. Marion Dupoux, 2019. "The land use change time-accounting failure," Post-Print hal-02409626, HAL.
    3. Banal-Estanol, A. & Eckhause, J. & Massol, O., 2015. "Incentives for early adoption of carbon capture technology: further considerations from a European perspective," Working Papers 15/03, Department of Economics, City University London.
    4. Vincent Brémond & Emmanuel Hache & Tovonony Razafindrabe, 2015. "On the link between oil price and exchange rate : A time-varying VAR parameter approach," Working Papers hal-03206684, HAL.
    5. Lo, Pak Lam & Martini, Gianmaria & Porta, Flavio & Scotti, Davide, 2020. "The determinants of CO2 emissions of air transport passenger traffic: An analysis of Lombardy (Italy)," Transport Policy, Elsevier, vol. 91(C), pages 108-119.
    6. Anthony Paris, 2016. "The Effect of Biofuels on the Link between Oil and Agricultural Commodity Prices: A Smooth Transition Cointegration Approach," Working Papers hal-02475518, HAL.
    7. Emmanuel Hache, 2018. "Do renewable energies improve energy security in the long run?," International Economics, CEPII research center, issue 156, pages 127-135.
    8. Grampella, Mattia & Lo, Pak Lam & Martini, Gianmaria & Scotti, Davide, 2017. "The impact of technology progress on aviation noise and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 525-540.
    9. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l’œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Économie et Statistique, Programme National Persée, vol. 457(1), pages 161-183.
    10. Benoît Chèze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to stabilize CO2 emissions from air transport in the mid-term?," Working Papers hal-04141052, HAL.

  37. Benoît Chèze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to stabilize CO2 emissions from air transport in the mid-term?," EconomiX Working Papers 2012-35, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Pedro Dorta Antequera & Jaime Díaz Pacheco & Abel López Díez & Celia Bethencourt Herrera, 2021. "Tourism, Transport and Climate Change: The Carbon Footprint of International Air Traffic on Islands," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    2. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    3. Alonso, G. & Benito, A. & Lonza, L. & Kousoulidou, M., 2014. "Investigations on the distribution of air transport traffic and CO2 emissions within the European Union," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 85-93.
    4. Marion Dupoux, 2019. "The land use change time-accounting failure," Post-Print hal-02409626, HAL.
    5. Banal-Estanol, A. & Eckhause, J. & Massol, O., 2015. "Incentives for early adoption of carbon capture technology: further considerations from a European perspective," Working Papers 15/03, Department of Economics, City University London.
    6. Vincent Brémond & Emmanuel Hache & Tovonony Razafindrabe, 2015. "On the link between oil price and exchange rate : A time-varying VAR parameter approach," Working Papers hal-03206684, HAL.
    7. Amizadeh, Fatemeh & Alonso, Gustavo & Benito, Arturo & Morales-Alonso, Gustavo, 2016. "Analysis of the recent evolution of commercial air traffic CO2 emissions and fleet utilization in the six largest national markets of the European Union," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 9-19.
    8. S. M. Phyoe & Y. X. Lee & Z. W. Zhong, 2016. "Determining the Future Demand: Studies for Air Traffic Forecasting," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 2(3), pages 83-86.
    9. Anthony Paris, 2016. "The Effect of Biofuels on the Link between Oil and Agricultural Commodity Prices: A Smooth Transition Cointegration Approach," Working Papers hal-02475518, HAL.
    10. Gössling, Stefan & Cohen, Scott, 2014. "Why sustainable transport policies will fail: EU climate policy in the light of transport taboos," Journal of Transport Geography, Elsevier, vol. 39(C), pages 197-207.
    11. Emmanuel Hache, 2018. "Do renewable energies improve energy security in the long run?," International Economics, CEPII research center, issue 156, pages 127-135.
    12. Grampella, Mattia & Lo, Pak Lam & Martini, Gianmaria & Scotti, Davide, 2017. "The impact of technology progress on aviation noise and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 525-540.
    13. González, Rodrigo & Hosoda, Eiji B., 2016. "Environmental impact of aircraft emissions and aviation fuel tax in Japan," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 234-240.
    14. Wajahat Ali & Azrai Abdullah & Muhammad Azam, 2016. "The Dynamic Linkage between Technological Innovation and carbon dioxide emissions in Malaysia: An Autoregressive Distributed Lagged Bound Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 389-400.
    15. Gössling, Stefan & Cohen, Scott Allen & Hares, Andrew, 2016. "Inside the black box: EU policy officers' perspectives on transport and climate change mitigation," Journal of Transport Geography, Elsevier, vol. 57(C), pages 83-93.
    16. Lilis Yuaningsih & R. Adjeng Mariana Febrianti, 2021. "The Nexus between Technological Advancement and CO2 Emissions in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 160-169.
    17. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.

  38. Julien Chevallier, 2012. "Econometric Analysis of Carbon Markets: The European Union Emissions Trading Scheme and the Clean Development Mechanism," Post-Print halshs-00642336, HAL.

    Cited by:

    1. Maryniak, Paweł & Trück, Stefan & Weron, Rafał, 2019. "Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill," Energy Economics, Elsevier, vol. 79(C), pages 45-58.
    2. Borghesi, Simone & Flori, Andrea, 2018. "EU ETS facets in the net: Structure and evolution of the EU ETS network," Energy Economics, Elsevier, vol. 75(C), pages 602-635.
    3. Silvia Albrizio & Helia Costa, 2012. "Policy Uncertainty and Investment in Low-Carbon Technology," Economics Working Papers ECO2012/27, European University Institute.
    4. Borghesi, Simone & Flori, Andrea, 2016. "EU ETS Facets in the Net: How Account Types Influence the Structure of the System," MITP: Mitigation, Innovation and Transformation Pathways 232214, Fondazione Eni Enrico Mattei (FEEM).
    5. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    6. Rachid Boutti & Florence Rodhain & Isabelle Bourdon & El Amri Adil, 2016. "Finance Carbone à l’heure de la COP 22 : performativité au prisme du Management Responsable au Maroc," Post-Print hal-03666924, HAL.
    7. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    8. Roger Fouquet, 2012. "Economics of Energy and Climate Change: Origins, Developments and Growth," Working Papers 2012-08, BC3.
    9. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    10. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    11. Díaz Valdivia, Carlos, 2014. "The Role of EU-ETS Mechanism as Environmental Investment Promoter in Europe and Developing Countries," Documentos de trabajo 1/2014, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    12. Agnolucci, Paolo & Arvanitopoulos, Theodoros, 2019. "Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector," Energy Economics, Elsevier, vol. 78(C), pages 546-566.
    13. Pawel Maryniak & Stefan Trueck & Rafal Weron, 2016. "Carbon pricing, forward risk premiums and pass-through rates in Australian electricity futures markets," HSC Research Reports HSC/16/10, Hugo Steinhaus Center, Wroclaw University of Technology.
    14. Tajbakhsh, Alireza & Hassini, Elkafi, 2022. "A game-theoretic approach for pollution control initiatives," International Journal of Production Economics, Elsevier, vol. 254(C).
    15. Rachid Boutti & El Amri Adil & Florence Rodhain, 2019. "Multivariate Analysis of a Time Series EU ETS: Methods and Applications in Carbon Finance," Post-Print hal-03676358, HAL.
    16. Adil El Amri & Rachid Boutti & Florence Rodhain, 2020. "Sustainable Finance at the time of Institutions: Performativity through the lens of Responsible Management in Morocco," Post-Print hal-03128882, HAL.
    17. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    18. Adil El Amri & Rachid Boutti & Salah Oulfarsi & Florence Rodhain & Brahim Bouzahir, 2020. "Carbon financial markets underlying climate risk management, pricing and forecasting: Fundamental analysis," Post-Print hal-03120782, HAL.
    19. Yang Liu & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    20. Díaz Valdivia, Carlos, 2014. "El rol del mercado de bonos de carbono europeo (EU–ETS) como gestor de inversión en medioambiente en Europa y países en desarrollo," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 22, pages 85-134, Noviembre.

  39. Julien Chevallier, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Post-Print hal-00991961, HAL.

    Cited by:

    1. Qi, Haozhi & Wu, Tiantian & Chen, Hao & Lu, Xiuling, 2023. "Time-frequency connectedness and cross-quantile dependence between carbon emission trading and commodity markets: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    2. Luís Aguiar-Conraria & Maria Joana Soares & Rita Sousa, 2017. "California´s Carbon Market and Energy Prices: A Wavelet Analysis," NIPE Working Papers 13/2017, NIPE - Universidade do Minho.
    3. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Working Papers 2024.02, Fondazione Eni Enrico Mattei.
    4. Minggang Wang & Chenyu Hua & Hua Xu, 2022. "Dynamic Linkages among Carbon, Energy and Financial Markets: Multiplex Recurrence Network Approach," Mathematics, MDPI, vol. 10(11), pages 1-23, May.
    5. Saeed, Asif & Chaudhry, Sajid M. & Arif, Ahmed & Ahmed, Rizwan, 2023. "Spillover of energy commodities and inflation in G7 plus Chinese economies," Energy Economics, Elsevier, vol. 127(PA).
    6. Marc Lamphiere & Jonathan Blackledge & Derek Kearney, 2021. "Carbon Futures Trading and Short-Term Price Prediction: An Analysis Using the Fractal Market Hypothesis and Evolutionary Computing," Mathematics, MDPI, vol. 9(9), pages 1-32, April.
    7. Ye, Jing & Xue, Minggao, 2021. "Influences of sentiment from news articles on EU carbon prices," Energy Economics, Elsevier, vol. 101(C).
    8. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    9. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    10. Chune Young Chung & Minkyu Jeong & Jason Young, 2018. "The Price Determinants of the EU Allowance in the EU Emissions Trading Scheme," Sustainability, MDPI, vol. 10(11), pages 1-29, November.
    11. Yu, Jongmin & Mallory, Mindy L., 2014. "Exchange rate effect on carbon credit price via energy markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 145-161.
    12. Chunguang Sheng & Guangyu Wang & Yude Geng & Lirong Chen, 2020. "The Correlation Analysis of Futures Pricing Mechanism in China’s Carbon Financial Market," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    13. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    14. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    15. 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).
    16. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    17. Libo Yin & Liyan Han, 2016. "Macroeconomic impacts on commodity prices: China vs. the United States," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 489-500, March.
    18. Frank Venmans, 2015. "Capital market response to emission allowance prices: a multivariate GARCH approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 577-620, October.
    19. Bredin, Don & Hyde, Stuart & Muckley, Cal, 2014. "A microstructure analysis of the carbon finance market," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 222-234.
    20. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    21. Yang Liu & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    22. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    23. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    24. Chen, Hao & Xu, Chao, 2022. "The impact of cryptocurrencies on China's carbon price variation during COVID-19: A quantile perspective," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

  40. Julien Chevallier, 2011. "Carbon Price Drivers: An Updated Literature Review," Working Papers halshs-00586513, HAL.

    Cited by:

    1. Agustín García & Agustín García & Miguel A. Jaramillo-Morán, 2020. "Short-term European Union Allowance price forecasting with artificial neural networks," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 261-275, September.
    2. Miguel A. Jaramillo-Morán & Agustín García-García, 2019. "Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors," Energies, MDPI, vol. 12(23), pages 1-18, November.
    3. Bento, Nuno & Gianfrate, Gianfranco, 2020. "Determinants of internal carbon pricing," Energy Policy, Elsevier, vol. 143(C).
    4. Liu, Zhiqing & Geng, Yong & Dai, Hancheng & Wilson, Jeffrey & Xie, Yang & Wu, Rui & You, Wei & Yu, Zhongjue, 2018. "Regional impacts of launching national carbon emissions trading market: A case study of Shanghai," Applied Energy, Elsevier, vol. 230(C), pages 232-240.
    5. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    6. Susaeta, Andres & Chang, Sun Joseph & Carter, Douglas R. & Lal, Pankaj, 2014. "Economics of carbon sequestration under fluctuating economic environment, forest management and technological changes: An application to forest stands in the southern United States," Journal of Forest Economics, Elsevier, vol. 20(1), pages 47-64.
    7. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    8. Raphaël-Homayoun Boroumand & Stéphane Goutte & Thomas Porcher & Thomas Stocker, 2020. "How to implement a fair and progressive carbon price to fight climate change?," Working Papers halshs-02613281, HAL.
    9. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.

  41. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2011. "EUA and sCER Phase II Price Drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00991939, HAL.

    Cited by:

    1. Xuedi Li & Jie Ma & Zhu Chen & Haitao Zheng, 2018. "Linkage Analysis among China’s Seven Emissions Trading Scheme Pilots," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    2. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
    3. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    4. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    5. Antonio Bento & Ravi Kanbur & Benjamin Leard, 2016. "On the importance of baseline setting in carbon offsets markets," Climatic Change, Springer, vol. 137(3), pages 625-637, August.
    6. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    7. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    8. Emma Schultz & John Swieringa, 2018. "Information linkages between emission allowance and energy markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 921-935, September.
    9. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    10. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    11. Marc Gronwald & Beat Hintermann, 2016. "Explaining the EUA-CER Spread," CESifo Working Paper Series 5795, CESifo.
    12. Gavard, Claire & Kirat, Djamel, 2020. "Short-term impacts of carbon offsetting on emissions trading schemes: Empirical insights from the EU experience," ZEW Discussion Papers 20-058, ZEW - Leibniz Centre for European Economic Research.
    13. Maria Mansanet-Bataller, 2011. "CO2 Prices and Portfolio Management during Phase II of the EU ETS," Working Papers 1101, Chaire Economie du climat.
    14. Frédéric Branger, Philippe Quirion, Julien Chevallier, 2017. "Carbon Leakage and Competitiveness of Cement and Steel Industries Under the EU ETS: Much Ado About Nothing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Julien Chevallier, 2011. "Anticipating correlations between EUAs and CERs: a Dynamic Conditional Correlation GARCH model," Economics Bulletin, AccessEcon, vol. 31(1), pages 255-272.
    16. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    17. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    18. Nazifi, Fatemeh, 2013. "Modelling the price spread between EUA and CER carbon prices," Energy Policy, Elsevier, vol. 56(C), pages 434-445.
    19. Xianzi Yang & Chen Zhang & Yu Yang & Yaqi Wu & Po Yun & Zulfiqar Ali Wagan, 2020. "China’s Carbon Pricing Based on Heterogeneous Tail Distribution," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    20. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    21. Chunguang Sheng & Guangyu Wang & Yude Geng & Lirong Chen, 2020. "The Correlation Analysis of Futures Pricing Mechanism in China’s Carbon Financial Market," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    22. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    23. Jongmin Yu & Mindy L. Mallory, 2020. "Carbon price interaction between allocated permits and generated offsets," Operational Research, Springer, vol. 20(2), pages 671-700, June.
    24. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    25. Aatola, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports P62, VATT Institute for Economic Research.
    26. Naegele, Helene, 2015. "Offset Credits in the EU Emissions Trading System : A Firm-Level Evaluation of Transaction Costs," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112817, Verein für Socialpolitik / German Economic Association.
    27. Hieronymi, Philipp & Schüller, David, 2015. "The Clean-Development Mechanism, stochastic permit prices and energy investments," Energy Economics, Elsevier, vol. 47(C), pages 25-36.
    28. Helene Naegele, 2018. "Offset Credits in the EU ETS: A Quantile Estimation of Firm-Level Transaction Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 77-106, May.
    29. Vicente Medina & Angel Pardo & Roberto Pascual, 2013. "Carbon Credits: Who is the Leader of the Pack?," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 210-220.
    30. Naegele, Helene, 2018. "Offset Credits in the EU ETS: A Quantile Estimation of Firm-Level Transaction Costs," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(1), pages 77-106.
    31. Beat Hintermann & Marc Gronwald, 2019. "Linking with Uncertainty: The Relationship Between EU ETS Pollution Permits and Kyoto Offsets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 761-784, October.
    32. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    33. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    34. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.
    35. Wen, Fenghua & Zhao, Haocen & Zhao, Lili & Yin, Hua, 2022. "What drive carbon price dynamics in China?," International Review of Financial Analysis, Elsevier, vol. 79(C).
    36. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    37. Julien Chevallier, 2013. "Understanding the link between aggregated industrial production and the carbon price," Post-Print halshs-00846340, HAL.
    38. Julien Chevallier, 2011. "Carbon Price Drivers: An Updated Literature Review," Working Papers halshs-00586513, HAL.
    39. Oscar Carchano & Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Rolling over EUAs and CERs," Working Papers. Serie AD 2012-15, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    40. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    41. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    42. 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.
    43. Djamel KIRAT & Claire GAVARD, 2020. "Short-term impacts of carbon offsetting on emissions trading schemes: empirical insights from the EU experience," LEO Working Papers / DR LEO 2821, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    44. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    45. Aatola, Piia & Ollikainen, Markku & Toppinen, Anne, 2013. "Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals," Energy Economics, Elsevier, vol. 36(C), pages 380-395.
    46. Gasbarro, Federica & Rizzi, Francesco & Frey, Marco, 2013. "The mutual influence of Environmental Management Systems and the EU ETS: Findings for the Italian pulp and paper industry," European Management Journal, Elsevier, vol. 31(1), pages 16-26.
    47. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    48. Julien Chevallier, 2012. "EUAs and CERs: Interactions in a Markov regime-switching environment," Economics Bulletin, AccessEcon, vol. 32(1), pages 86-101.
    49. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.

  42. Julien Chevallier, 2011. "Time-varying correlations in oil, gas and CO2 prices: an application using BEKK, CCC, and DCC-MGARCH models," Post-Print hal-00716634, HAL.

    Cited by:

    1. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    2. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    3. Alkathery, Mohammed A. & Chaudhuri, Kausik & Nasir, Muhammad Ali, 2023. "Dependence between the GCC energy equities, global clean energy and emission markets: Evidence from wavelet analysis," Energy Economics, Elsevier, vol. 121(C).
    4. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    5. Lovcha, Yuliya & Perez-Laborda, Alejandro & Sikora, Iryna, 2022. "The determinants of CO2 prices in the EU emission trading system," Applied Energy, Elsevier, vol. 305(C).
    6. Lim, Siok Jin, 2020. "Portfolio diversification opportunities for U.S. Islamic investors with its trading partners when the world catches a cold: A Multivariate-GARCH and wavelet approach," MPRA Paper 103295, University Library of Munich, Germany.
    7. Compernolle, T. & Welkenhuysen, K. & Huisman, K. & Piessens, K. & Kort, P., 2017. "Off-shore enhanced oil recovery in the North Sea: The impact of price uncertainty on the investment decisions," Energy Policy, Elsevier, vol. 101(C), pages 123-137.
    8. Lerskullawat, Polwat, 2019. "Hedging Effectiveness on the Thailand Futures Exchange Market," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    9. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    10. Liu, Jianing & Man, Yuanyuan & Dong, Xiuliang, 2023. "Tail dependence and risk spillover effects between China's carbon market and energy markets," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 553-567.
    11. Dey Shubhasis & Sampath Aravind, 2017. "Dynamic Linkages between Gold and Equity Prices: Evidence from Indian Financial Services and Information Technology Companies," Working papers 251, Indian Institute of Management Kozhikode.
    12. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Noman, Ambreen, 2021. "The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the U.S. economic policy uncertainty," Resources Policy, Elsevier, vol. 74(C).
    13. Pierret, D., 2013. "The systemic risk of energy markets," LIDAM Discussion Papers ISBA 2013061, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    14. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    15. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
    16. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    17. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Energy prices and CO2 emission allowance prices: A quantile regression approach," NIPE Working Papers 06/2014, NIPE - Universidade do Minho.
    18. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    19. Gaye GENCER & Sercan DEMIRALAY, 2013. "The impact of oil prices on sectoral returns: an empirical analysis from Borsa Istanbul," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(12(589)), pages 7-24, December.
    20. Vellachami, Sanggetha & Hasanov, Akram Shavkatovich & Brooks, Robert, 2023. "Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    21. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    22. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    23. Zhou, Yuqin & Wu, Shan & Zhang, Zeyi, 2022. "Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network," Energy Economics, Elsevier, vol. 114(C).
    24. Yaya, OlaOluwa S. & Lukman, Adewale F. & Vo, Xuan Vinh, 2022. "Persistence and volatility spillovers of bitcoin price to gold and silver prices," Resources Policy, Elsevier, vol. 79(C).
    25. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    26. Wen, Fenghua & Zhao, Haocen & Zhao, Lili & Yin, Hua, 2022. "What drive carbon price dynamics in China?," International Review of Financial Analysis, Elsevier, vol. 79(C).
    27. Frank Venmans, 2015. "Capital market response to emission allowance prices: a multivariate GARCH approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 577-620, October.
    28. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    29. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    30. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    31. Kamaruzdin, Thaqif & Masih, Mansur, 2014. "An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches," MPRA Paper 60248, University Library of Munich, Germany.
    32. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).
    33. Cao, Guangxi & Xu, Wei, 2016. "Nonlinear structure analysis of carbon and energy markets with MFDCCA based on maximum overlap wavelet transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 505-523.
    34. Innocensia Owuor & Hartwig H. Hochmair, 2023. "Temporal Relationship between Daily Reports of COVID-19 Infections and Related GDELT and Tweet Mentions," Geographies, MDPI, vol. 3(3), pages 1-26, September.
    35. Debalke, Negash Mulatu, 2023. "Examining volatility and spillover effects between markets for sovereign bonds of African countries and the world’s long term interest rate," MPRA Paper 117491, University Library of Munich, Germany.

  43. Benoît Cheze & Pascal Gastineau & Julien Chevallier, 2011. "Forecasting world and regional aviation jet fuel demands to the mid-term (2025)," Post-Print hal-00990189, HAL.

    Cited by:

    1. Francisco A. Buendia-Hernandez & Maria J. Ortiz Bevia & Francisco J. Alvarez-Garcia & Antonio Ruizde Elvira, 2022. "Sensitivity of a Dynamic Model of Air Traffic Emissions to Technological and Environmental Factors," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    2. Zhang, Chi & Hui, Xin & Lin, Yuzhen & Sung, Chih-Jen, 2016. "Recent development in studies of alternative jet fuel combustion: Progress, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 120-138.
    3. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
    4. Ekaterina Grushevenko, 2015. "Complex method of petroleum products demand forecasting considering economic, demographic and technological factors," Economics and Business Letters, Oviedo University Press, vol. 4(3), pages 98-107.
    5. Benoit Cheze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to effectively lead the air transport to a sustainable development in the mid-term (2025)?," Working Papers 1207, Chaire Economie du climat.
    6. Dewansh Raheja & R. Guo & S. M. Phyoe & Y. X. Lee & Z. W. Zhong, 2017. "Air Traffic and Economic Output: Projections for ASEAN," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 3(3), pages 92-99.
    7. Benoît Chèze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to stabilize CO2 emissions from air transport in the mid-term?," EconomiX Working Papers 2012-35, University of Paris Nanterre, EconomiX.
    8. Bigazzi, Alexander, 2019. "Comparison of marginal and average emission factors for passenger transportation modes," Applied Energy, Elsevier, vol. 242(C), pages 1460-1466.
    9. Becken, Susanne & Mackey, Brendan, 2017. "What role for offsetting aviation greenhouse gas emissions in a deep-cut carbon world?," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 71-83.
    10. Yilmaz, Nadir & Atmanli, Alpaslan, 2017. "Sustainable alternative fuels in aviation," Energy, Elsevier, vol. 140(P2), pages 1378-1386.
    11. Lobo, Benjamin J. & Brown, Donald E. & Grazaitis, Peter J., 2019. "Long-term forecasting of fuel demand at theater entry points," International Journal of Forecasting, Elsevier, vol. 35(2), pages 502-520.
    12. Balli, Ozgur, 2017. "Advanced exergy analyses of an aircraft turboprop engine (TPE)," Energy, Elsevier, vol. 124(C), pages 599-612.
    13. Wajahat Ali & Inam Ur Rahman & Muhammad Zahid & Muhammad Anees Khan & Tafazal Kumail, 2020. "Do technology and structural changes favour environment in Malaysia: an ARDL-based evidence for environmental Kuznets curve," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7927-7950, December.
    14. Zhou, Wenji & Wang, Tao & Yu, Yadong & Chen, Dingjiang & Zhu, Bing, 2016. "Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030," Applied Energy, Elsevier, vol. 175(C), pages 100-108.
    15. Jian Chai & Shubin Wang & Shouyang Wang & Ju’e Guo, 2012. "Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry," Energies, MDPI, vol. 5(3), pages 1-22, March.
    16. Lo, Pak Lam & Martini, Gianmaria & Porta, Flavio & Scotti, Davide, 2020. "The determinants of CO2 emissions of air transport passenger traffic: An analysis of Lombardy (Italy)," Transport Policy, Elsevier, vol. 91(C), pages 108-119.
    17. Peeters, Paul M. & Eijgelaar, Eke, 2014. "Tourism's climate mitigation dilemma: Flying between rich and poor countries," Tourism Management, Elsevier, vol. 40(C), pages 15-26.
    18. Chai, Jian & Zhang, Zhong-Yu & Wang, Shou-Yang & Lai, Kin Keung & Liu, John, 2014. "Aviation fuel demand development in China," Energy Economics, Elsevier, vol. 46(C), pages 224-235.
    19. Grampella, Mattia & Lo, Pak Lam & Martini, Gianmaria & Scotti, Davide, 2017. "The impact of technology progress on aviation noise and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 525-540.
    20. Chen, Yu-Kai & Hsieh, Chung-Hung & Wang, Wei-Cheng, 2020. "The production of renewable aviation fuel from waste cooking oil. Part II: Catalytic hydro-cracking/isomerization of hydro-processed alkanes into jet fuel range products," Renewable Energy, Elsevier, vol. 157(C), pages 731-740.
    21. Tang, Nga Yung Agnes & Wu, Cheng-Lung & Tan, David, 2020. "Evaluating the implementation of performance-based fuel uplift regulation for airline operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 47-61.
    22. Manoela Cabo & Elton Fernandes & Paulo Alonso & Ricardo Rodrigues Pacheco & Felipe Fagundes, 2019. "Energy Effectiveness of Jet Fuel Utilization in Brazilian Air Transport," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    23. Miyoshi, Chikage & Fukui, Hideki, 2018. "Measuring the rebound effects in air transport: The impact of jet fuel prices and air carriers’ fuel efficiency improvement of the European airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 71-84.
    24. González, Rodrigo & Hosoda, Eiji B., 2016. "Environmental impact of aircraft emissions and aviation fuel tax in Japan," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 234-240.
    25. Aleksandar S. Jovanović & P. Klimek & Flor A. Quintero, 2015. "Forecast for the use of alternative fuels in aviation under environmental constraints and volatile market conditions," Environment Systems and Decisions, Springer, vol. 35(4), pages 521-531, December.
    26. Benoît Chèze & Julien Chevallier & Pascal Gastineau, 2012. "Will technological progress be sufficient to stabilize CO2 emissions from air transport in the mid-term?," Working Papers hal-04141052, HAL.
    27. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).

  44. Julien Chevallier & Benoît Sévi, 2011. "On the volatility-volume relationship in energy futures markets using intraday data," EconomiX Working Papers 2011-16, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
    2. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    3. Da Fonseca, José & Ignatieva, Katja, 2019. "Jump activity analysis for affine jump-diffusion models: Evidence from the commodity market," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 45-62.
    4. Florian Ielpo & Benoît Sévi, 2014. "Forecasting the density of oil futures," Working Papers 2014-601, Department of Research, Ipag Business School.
    5. Magkonis, Georgios & Tsouknidis, Dimitris A., 2017. "Dynamic spillover effects across petroleum spot and futures volatilities, trading volume and open interest," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 104-118.
    6. Jena, Sangram Keshari & Lahiani, Amine & Tiwari, Aviral Kumar & Roubaud, David, 2021. "Uncovering the complex asymmetric relationship between trading activity and commodity futures price: Evidenced from QNARDL study," Resources Policy, Elsevier, vol. 74(C).
    7. Lee, Hwang Hee & Hyun, Jung-Soon, 2019. "The asymmetric effect of equity volatility on credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 125-136.
    8. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    9. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    10. Julien Chevallier & Benoît Sévi, 2013. "A Fear Index to Predict Oil Futures Returns," Working Papers 2013.62, Fondazione Eni Enrico Mattei.
    11. Stephanie-Carolin Grosche, 2014. "What Does Granger Causality Prove? A Critical Examination of the Interpretation of Granger Causality Results on Price Effects of Index Trading in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 279-302, June.
    12. Yves Rannou & Mohamed Amine Boutabba & Pascal Barneto, 2021. "Are Green Bond and Carbon Markets in Europe complements or substitutes? Insights from the activity of power firms," Post-Print hal-03435879, HAL.
    13. Jing Ao & Jihui Chen, 2020. "Price Volatility, the Maturity Effect, and Global Oil Prices: Evidence from Chinese Commodity Futures Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 627-654, October.
    14. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    15. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    16. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    17. Slim, Skander & Dahmene, Meriam, 2016. "Asymmetric information, volatility components and the volume–volatility relationship for the CAC40 stocks," Global Finance Journal, Elsevier, vol. 29(C), pages 70-84.
    18. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    19. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.
    20. Fredj Jawadi & Wael Louhichi & Hachmi Ben Ameur & Abdoulkarim Idi Cheffou, 2017. "On Oil-US Exchange Rate Volatility Relationships: an Intradaily Analysis," Working Papers hal-04141662, HAL.
    21. Xu Gong & Boqiang Lin, 2021. "Effects of structural changes on the prediction of downside volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1124-1153, July.
    22. Fredj Jawadi & Waël Louhichi & Hachmi Ben Ameur & Abdoulkarim Idi Cheffou, 2017. "On Oil-US Exchange Rate Volatility Relationships: an Intradaily Analysis," EconomiX Working Papers 2017-11, University of Paris Nanterre, EconomiX.
    23. Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
    24. Zied Ftiti & Fredj Jawadi & Waël Louhichi, 2017. "Modelling the relationship between future energy intraday volatility and trading volume with wavelet," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1981-1993, April.
    25. Da Fonseca, José & Xu, Yahua, 2017. "Higher moment risk premiums for the crude oil market: A downside and upside conditional decomposition," Energy Economics, Elsevier, vol. 67(C), pages 410-422.
    26. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    27. Todorova, Neda & Clements, Adam E., 2018. "The volatility-volume relationship in the LME futures market for industrial metals," Resources Policy, Elsevier, vol. 58(C), pages 111-124.
    28. Todorova, Neda, 2017. "The asymmetric volatility in the gold market revisited," Economics Letters, Elsevier, vol. 150(C), pages 138-141.
    29. Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.
    30. Ignatieva, Katja & Wong, Patrick, 2022. "Modelling high frequency crude oil dynamics using affine and non-affine jump–diffusion models," Energy Economics, Elsevier, vol. 108(C).
    31. Fatih Çemrek & Hakkı Polat, 2014. "Modeling Natural Gas Prices Volatility," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 2(1), pages 1-12, June.
    32. Ma, Feng & Wahab, M.I.M. & Huang, Dengshi & Xu, Weiju, 2017. "Forecasting the realized volatility of the oil futures market: A regime switching approach," Energy Economics, Elsevier, vol. 67(C), pages 136-145.
    33. Zhenwei Li & Jing Han & Yuping Song, 2020. "On the forecasting of high‐frequency financial time series based on ARIMA model improved by deep learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1081-1097, November.

  45. Benoit Chèze & Pascal Gastineau & Julien Chevallier, 2011. "Air traffic energy efficiency differs from place to place: analysis of historical trends by geographical zones using a macro-level methodology," Working Papers hal-02474644, HAL.

    Cited by:

    1. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l'œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Post-Print halshs-01716169, HAL.
    2. Marion Dupoux, 2019. "The land use change time-accounting failure," Post-Print hal-02409626, HAL.
    3. Banal-Estanol, A. & Eckhause, J. & Massol, O., 2015. "Incentives for early adoption of carbon capture technology: further considerations from a European perspective," Working Papers 15/03, Department of Economics, City University London.
    4. Vincent Brémond & Emmanuel Hache & Tovonony Razafindrabe, 2015. "On the link between oil price and exchange rate : A time-varying VAR parameter approach," Working Papers hal-03206684, HAL.
    5. Anthony Paris, 2016. "The Effect of Biofuels on the Link between Oil and Agricultural Commodity Prices: A Smooth Transition Cointegration Approach," Working Papers hal-02475518, HAL.
    6. Emmanuel Hache, 2018. "Do renewable energies improve energy security in the long run?," International Economics, CEPII research center, issue 156, pages 127-135.
    7. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l’œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Économie et Statistique, Programme National Persée, vol. 457(1), pages 161-183.

  46. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2011. "Options introduction and volatility in the EU ETS," Working Papers 1107, Chaire Economie du climat.

    Cited by:

    1. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    2. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    3. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    4. Xu, Li & Deng, Shi-Jie & Thomas, Valerie M., 2016. "Carbon emission permit price volatility reduction through financial options," Energy Economics, Elsevier, vol. 53(C), pages 248-260.
    5. Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    6. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    7. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    8. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    9. Viteva, Svetlana & Veld-Merkoulova, Yulia V. & Campbell, Kevin, 2014. "The forecasting accuracy of implied volatility from ECX carbon options," Energy Economics, Elsevier, vol. 45(C), pages 475-484.
    10. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    11. Compernolle, Tine & Kort, Peter M. & Thijssen, Jacco J.J., 2022. "The effectiveness of carbon pricing: The role of diversification in a firm’s investment decision," Energy Economics, Elsevier, vol. 112(C).
    12. Andrea Petrella & Sandro Sapio, 2010. "No PUN intended: A time series analysis of the Italian day-ahead electricity prices," RSCAS Working Papers 2010/03, European University Institute.
    13. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    14. Joao Leitao & Joaquim Ferreira & Ernesto Santibanez‐Gonzalez, 2021. "Green bonds, sustainable development and environmental policy in the European Union carbon market," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2077-2090, May.
    15. Janina Ketterer, 2012. "The Impact of Wind Power Generation on the Electricity Price in Germany," ifo Working Paper Series 143, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Fagiani, Riccardo & Hakvoort, Rudi, 2014. "The role of regulatory uncertainty in certificate markets: A case study of the Swedish/Norwegian market," Energy Policy, Elsevier, vol. 65(C), pages 608-618.
    17. Jiemin Huang & Jiaoju Ge & Kai Chang & Yixiang Tian, 2020. "Dynamic hedging analysis of carbon emission trading yield in Shenzhen," Energy & Environment, , vol. 31(5), pages 870-885, August.
    18. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    19. Shuyi Wang & Zhenhua Wu & Baochen Yang, 2018. "Decision and Performance Analysis of a Price-Setting Manufacturer with Options under a Flexible-Cap Emission Trading Scheme (ETS)," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    20. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    21. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    22. Yanxin Liu & Huajiao Li & Jianhe Guan & Xueyong Liu & Yajie Qi, 2019. "The role of the world’s major steel markets in price spillover networks: an analysis based on complex network motifs," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 697-720, December.
    23. 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.

  47. Julien Chevallier, 2011. "Detecting Instability in the Volatility of Carbon Prices," Post-Print hal-00991957, HAL.

    Cited by:

    1. Mengrui Zhu & Hua Xu & Xingyu Gao & Minggang Wang & André L. M. Vilela & Lixin Tian, 2022. "Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network," Energies, MDPI, vol. 15(15), pages 1-18, July.
    2. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    3. Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," LIDAM Reprints LFIN 2015004, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Paresh Kumar Narayan & Seema Narayan & Siroos Khademalomoom & Dinh Hoang Bach Phan, 2018. "Do Terrorist Attacks Impact Exchange Rate Behavior? New International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 547-561, January.
    5. Li, Gang & Li, Yong, 2015. "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, vol. 46(P2), pages 167-176.
    6. Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    7. Siroos Khademalomoom & Paresh Kumar Narayan & Susan Sunila Sharma, 2019. "Higher Moments and Exchange Rate Behavior," The Financial Review, Eastern Finance Association, vol. 54(1), pages 201-229, February.
    8. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    9. Wang, Yun & Xie, Haipeng & Sun, Xiaotian & Tang, Lingfeng & Bie, Zhaohong, 2022. "A cross-chain enabled day-ahead collaborative power-carbon-TGC market," Energy, Elsevier, vol. 258(C).
    10. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Noman, Ambreen, 2021. "The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the U.S. economic policy uncertainty," Resources Policy, Elsevier, vol. 74(C).
    11. Anna Creti & Marc Joëts, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Post-Print hal-01549809, HAL.
    12. Yang, Lu & Hamori, Shigeyuki, 2021. "The role of the carbon market in relation to the cryptocurrency market: Only diversification or more?," International Review of Financial Analysis, Elsevier, vol. 77(C).
    13. Stefan Trück & Rafal Weron, 2015. "Convenience yields and risk premiums in the EU-ETS - Evidence from the Kyoto commitment period," HSC Research Reports HSC/15/03, Hugo Steinhaus Center, Wroclaw University of Technology.
    14. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    15. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
    16. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    17. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    18. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    19. Palzer, Andreas & Westner, Günther & Madlener, Reinhard, 2012. "Evaluation of Different Hedging Strategies for Commodity Price Risks of Industrial Cogeneration Plants," FCN Working Papers 2/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
    20. Marc Gronwald & Janina Ketterer, 2012. "What Moves the European Carbon Market? - Insights from Conditional Jump Models," CESifo Working Paper Series 3795, CESifo.
    21. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    22. Rickels, Wilfried & Görlich, Dennis & Oberst, Gerrit & Peterson, Sonja, 2012. "Carbon price dynamics: Evidence from Phase II of the European Emission Trading Scheme," Kiel Working Papers 1804, Kiel Institute for the World Economy (IfW Kiel).
    23. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    24. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    25. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    26. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    27. Zhang, Xingmin & Zhang, Shuai & Lu, Liping, 2022. "The banking instability and climate change: Evidence from China," Energy Economics, Elsevier, vol. 106(C).
    28. Wen, Fenghua & Zhao, Lili & He, Shaoyi & Yang, Guozheng, 2020. "Asymmetric relationship between carbon emission trading market and stock market: Evidences from China," Energy Economics, Elsevier, vol. 91(C).
    29. Stefan Trück & Wolfgang Härdle & Rafal Weron, 2012. "The relationship between spot and futures CO2 emission allowance prices in the EU-ETS," HSC Research Reports HSC/12/02, Hugo Steinhaus Center, Wroclaw University of Technology.
    30. Rita Sousa & Luís Francisco Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon and Energy Prices: Surfing the Wavelets of California," NIPE Working Papers 19/2014, NIPE - Universidade do Minho.
    31. Jin, Jiayu & Han, Liyan & Wu, Lei & Zeng, Hongchao, 2020. "The hedging effect of green bonds on carbon market risk," International Review of Financial Analysis, Elsevier, vol. 71(C).
    32. Rannou, Yves & Barneto, Pascal, 2016. "Futures trading with information asymmetry and OTC predominance: Another look at the volume/volatility relations in the European carbon markets," Energy Economics, Elsevier, vol. 53(C), pages 159-174.
    33. Rialdi Azhar & Febryan Kusuma Wisnu & Fajrin Satria Dwi Kesuma & Widya Rizki Eka Putri & Rian Andri Prasetya, 2022. "State-space Implementation in Forecasting Carbon and Gas Prices in Commodity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 280-286, May.
    34. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    35. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    36. Reboredo, Juan C., 2014. "Volatility spillovers between the oil market and the European Union carbon emission market," Economic Modelling, Elsevier, vol. 36(C), pages 229-234.
    37. Sahbi FARHANI, 2012. "Tests of Parameters Instability: Theoretical Study and Empirical Analysis on Two Types of Models (ARMA Model and Market Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 246-266.
    38. Claudia Kettner & Daniela Kletzan-Slamanig & Angela Köppl, 2015. "The EU Emission Trading Scheme: sectoral allocation and factors determining emission changes," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(1), pages 1-14, March.
    39. Kanamura, Takashi, 2016. "Role of carbon swap trading and energy prices in price correlations and volatilities between carbon markets," Energy Economics, Elsevier, vol. 54(C), pages 204-212.
    40. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    41. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    42. Po Yun & Chen Zhang & Yaqi Wu & Yu Yang, 2022. "Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    43. 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.
    44. Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.
    45. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    46. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    47. 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.
    48. Claudia Kettner & Daniela Kletzan-Slamanig & Angela Köppl & Thomas Schinko & Andreas Türk, 2011. "ETCLIP – The Challenge of the European Carbon Market: Emission Trading, Carbon Leakage and Instruments to Stabilise the CO2 Price. Price Volatility in Carbon Markets: Why it Matters and How it Can be ," WIFO Working Papers 409, WIFO.

  48. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.

    Cited by:

    1. Guy Meunier, 2015. "Prices vs. quantities in presence of a second, unpriced, externality," Working Papers hal-01242040, HAL.
    2. Nicolas Sanz & Sonia Schwartz, 2011. "Are Pollution Permit Markets Harmful for Employment?," Documents de Travail 2011-04, CEREGMIA, Université des Antilles et de la Guyane.
    3. Lee, Woo-Nam & Kim, Hyeong-Jung & Park, Jong-Bae & Cho, Ki-Seon & Roh, Jae Hyung & Son, Sung-Yong, 2012. "Economic analysis of heating and cooling systems from the various perspectives: Application to EHP and GHP in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4116-4125.

  49. Benoit Chèze & Pascal Gastineau & Julien Chevallier, 2010. "Forecasting air traffic and corresponding jet-fuel demande until 2025," Working Papers hal-02489878, HAL.

    Cited by:

    1. Dewansh Raheja & Y. X. LEE & Z. W. Zhong, 2017. "Utilizing Regression Algorithms for ATS Route Forecasts," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 1(1), pages 10-12.

  50. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.

    Cited by:

    1. Don Bredin and John Parsons, 2016. "Why is Spot Carbon so Cheap and Future Carbon so Dear? The Term Structure of Carbon Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

  51. Julien Chevallier, 2010. "The European carbon market (2005-2007): banking, pricing and risk-hedging strategies," Working Papers halshs-00458787, HAL.

    Cited by:

    1. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.

  52. Julien Chevallier, 2010. "Spéculation et marchés dérivés du pétrole," Working Papers halshs-00458916, HAL.

    Cited by:

    1. Gourène, Grakolet Arnold Zamereith & Mendy, Pierre, 2015. "Oil Prices and African Stock Markets Co-movement: A Time and Frequency Analysis," MPRA Paper 75852, University Library of Munich, Germany.

  53. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.

    Cited by:

    1. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    2. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    3. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    4. Vasa, Alexander & Neuhoff, Karsten, 2011. "The Role of CDM Post-2012," EconStor Research Reports 65871, ZBW - Leibniz Information Centre for Economics.
    5. Johann Wackerbauer & Jutta Albrecht-Saavedra & Marc Gronwald & Janina Ketterer & Jana Lippelt & Johannes Pfeiffer & Luise Röpke & Markus Zimmer, 2011. "Bewertung der klimapolitischen Maßnahmen und Instrumente: eine Studie im Auftrag der E.ON AG," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 51.
    6. Igor Shishlov & Valentin Bellassen, 2012. "10 lessons from 10 years of the CDM," Working Papers hal-01151437, HAL.

  54. Julien Chevallier, 2010. "Carbon Capture and Storage (CCS) Technologies and Economic Investment Opportunities in the UK," Working Papers halshs-00465621, HAL.

    Cited by:

    1. Lai, N.Y.G. & Yap, E.H. & Lee, C.W., 2011. "Viability of CCS: A broad-based assessment for Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3608-3616.

  55. Julien Chevallier, 2010. "Price relationships in the EU emissions trading system," Working Papers halshs-00458728, HAL.

    Cited by:

    1. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.
    2. Copenhagen Economics, 2010. "Tax Treatment of ETS Allowances: Options for Improving Transparency and Efficiency," Taxation Studies 0035, Directorate General Taxation and Customs Union, European Commission.

  56. Julien Chevallier & Emilie Alberola, 2009. "Banking and Borrowing in the EU ETS: An Econometric Appraisal of the 2005-2007 Intertemporal Market," Working Papers halshs-00388071, HAL.

    Cited by:

    1. Grüll, Georg & Taschini, Luca, 2010. "A comparison of reduced-form permit price models and their empirical performances," LSE Research Online Documents on Economics 37603, London School of Economics and Political Science, LSE Library.
    2. Rittler, Daniel, 2009. "Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis," Working Papers 0492, University of Heidelberg, Department of Economics.
    3. Leon Vinokur, 2009. "Disposition in the Carbon Market and Institutional Constraints," Working Papers 652, Queen Mary University of London, School of Economics and Finance.

  57. Julien Chevallier, 2009. "Re-examining the concept of sustainable development in light of climate change," Working Papers halshs-00388069, HAL.

    Cited by:

    1. Hala Abou-Ali & Yasmine M. Abdelfattah, 2011. "Integrated Paradigm for Sustainable Development: A Panel Data Study," Working Papers 646, Economic Research Forum, revised 10 Jan 2011.

  58. Chevallier, Julien & Benoit, Sevi, 2009. "On the Realized Volatility of the ECX CO2 Emissions 2008 Futures Contract: Distribution, Dynamics and Forecasting," Sustainable Development Papers 55834, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Post-Print hal-01474249, HAL.
    2. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    3. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
    4. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    5. Rittler, Daniel, 2012. "Price discovery and volatility spillovers in the European Union emissions trading scheme: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 774-785.
    6. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    7. Viteva, Svetlana & Veld-Merkoulova, Yulia V. & Campbell, Kevin, 2014. "The forecasting accuracy of implied volatility from ECX carbon options," Energy Economics, Elsevier, vol. 45(C), pages 475-484.
    8. Rittler, Daniel, 2009. "Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis," Working Papers 0492, University of Heidelberg, Department of Economics.
    9. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    10. Yves Rannou, 2017. "Liquidity, information, strategic trading in an electronic order book: New insights from the European carbon markets," Post-Print hal-01650533, HAL.
    11. Bredin, Don & Hyde, Stuart & Muckley, Cal, 2014. "A microstructure analysis of the carbon finance market," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 222-234.
    12. Oscar Carchano & Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Rolling over EUAs and CERs," Working Papers. Serie AD 2012-15, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Reckling, Dennis, 2016. "Variance risk premia in CO2 markets: A political perspective," Energy Policy, Elsevier, vol. 94(C), pages 345-354.
    14. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    15. Shenghua Xiong & Chunfeng Wang & Zhenming Fang & Dan Ma, 2019. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm," Energies, MDPI, vol. 12(1), pages 1-21, January.
    16. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    17. 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.
    18. Didit Budi Nugroho & Takayuki Morimoto, 2019. "Incorporating Realized Quarticity into a Realized Stochastic Volatility Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(4), pages 495-528, December.
    19. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    20. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    21. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    22. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    23. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.

  59. Julien Chevallier, 2009. "Energy Risk Management with Carbon Assets," Working Papers halshs-00410059, HAL.

    Cited by:

    1. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    2. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    3. Palao, Fernando & Pardo, Ángel, 2021. "The inconvenience yield of carbon futures," Energy Economics, Elsevier, vol. 101(C).
    4. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    5. Reboredo, Juan C., 2013. "Modeling EU allowances and oil market interdependence. Implications for portfolio management," Energy Economics, Elsevier, vol. 36(C), pages 471-480.
    6. Cristiana Tudor, 2016. "Predicting the Evolution of CO 2 Emissions in Bahrain with Automated Forecasting Methods," Sustainability, MDPI, vol. 8(9), pages 1-10, September.
    7. Anne Schopp & Karsten Neuhoff, 2013. "The Role of Hedging in Carbon Markets," Discussion Papers of DIW Berlin 1271, DIW Berlin, German Institute for Economic Research.

  60. Julien Chevallier, 2009. "Emissions Trading: What Makes It Work?," Working Papers halshs-00401725, HAL.

    Cited by:

    1. Julien Chevallier, 2013. "At the crossroads: can China grow in a low-carbon way?," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 31, pages 666-681, Edward Elgar Publishing.
    2. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    3. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.

  61. Emilie Alberola & Julien Chevallier & Benoît Chèze, 2009. "Emissions Compliances and Carbon Prices under the EU ETS: A Country Specific Analysis of Industrial SectorsEmissions Compliances and Carbon Price," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00649925, HAL.

    Cited by:

    1. Jilin Zhang & Yukun Xu, 2020. "Research on the Price Fluctuation and Risk Formation Mechanism of Carbon Emission Rights in China Based on a GARCH Model," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    2. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    3. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    4. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    5. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    7. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    8. Emma Schultz & John Swieringa, 2018. "Information linkages between emission allowance and energy markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 921-935, September.
    9. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    10. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    11. Marin, Giovanni & Mazzanti, Massimiliano, 2009. "Emissions Trends, Labour Productivity Dynamics and Time-Related Events - Sector Heterogeneous Analyses of Decoupling/Recoupling on a 1990-2006 NAMEA," MPRA Paper 17903, University Library of Munich, Germany.
    12. Boersen, Arieke & Scholtens, Bert, 2014. "The relationship between European electricity markets and emission allowance futures prices in phase II of the EU (European Union) emission trading scheme," Energy, Elsevier, vol. 74(C), pages 585-594.
    13. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    15. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    16. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    17. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," ZEW Discussion Papers 13-001, ZEW - Leibniz Centre for European Economic Research.
    18. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    19. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    20. Cainelli, Giulio & Mazzanti, Massimiliano, 2013. "Environmental innovations in services: Manufacturing–services integration and policy transmissions," Research Policy, Elsevier, vol. 42(9), pages 1595-1604.
    21. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    22. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    23. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    24. Wang, Qiang & Chen, Xi, 2013. "Rethinking and reshaping the climate policy: Literature review and proposed guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 469-477.
    25. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    26. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    27. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    28. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.
    29. Rachid Boutti & El Amri Adil & Florence Rodhain, 2019. "Multivariate Analysis of a Time Series EU ETS: Methods and Applications in Carbon Finance," Post-Print hal-03676358, HAL.
    30. Atalla, Tarek & Bigerna, Simona & Bollino, Carlo Andrea & Polinori, Paolo, 2018. "An alternative assessment of global climate policies," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1272-1289.
    31. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    32. Giovanni Marin & Massimiliano Mazzanti, 2013. "The evolution of environmental and labor productivity dynamics," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 357-399, April.
    33. Ye Duan & Zenglin Han & Hailin Mu & Jun Yang & Yonghua Li, 2019. "Research on the Impact of Various Emission Reduction Policies on China’s Iron and Steel Industry Production and Economic Level under the Carbon Trading Mechanism," Energies, MDPI, vol. 12(9), pages 1-26, April.
    34. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    35. Adil El Amri & Rachid Boutti & Salah Oulfarsi & Florence Rodhain & Brahim Bouzahir, 2020. "Carbon financial markets underlying climate risk management, pricing and forecasting: Fundamental analysis," Post-Print hal-03120782, HAL.
    36. 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.
    37. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," Working Papers hal-04140857, HAL.
    38. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    39. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.

  62. Emilie Alberola & Benoît Chèze & Julien Chevallier, 2008. "The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices," EconomiX Working Papers 2008-12, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Oberndorfer, Ulrich, 2008. "EU Emission Allowances and the Stock Market: Evidence from the Electricity Industry," ZEW Discussion Papers 08-059, ZEW - Leibniz Centre for European Economic Research.
    2. 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.
    3. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    4. Alberola, Emilie & Chevallier, Julien & Chèze, Benoît, 2009. "Emissions Compliances and Carbon Prices under the EU ETS: A Country Specific Analysis of Industrial Sectors," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 446-462, May.
    5. Jiqiang Wang & Yinpeng Liu & Ying Fan & Jianfeng Guo, 2020. "The Impact of Industry on European Union Emissions Trading Market—From Network Perspective," Energies, MDPI, vol. 13(21), pages 1-16, October.
    6. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    7. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    8. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    9. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    10. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    12. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    13. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    14. Fabio Antoniou & Efthymia Kyriakopoulou, 2019. "On the Strategic Effect of International Permits Trading on Local Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1299-1329, November.
    15. Rittler, Daniel, 2009. "Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis," Working Papers 0492, University of Heidelberg, Department of Economics.
    16. Julien Chevallier & Johanna Etner & Pierre-André Jouvet, 2008. "Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence," Working Papers hal-04140731, HAL.
    17. Oberndorfer, Ulrich, 2009. "EU Emission Allowances and the stock market: Evidence from the electricity industry," Ecological Economics, Elsevier, vol. 68(4), pages 1116-1126, February.
    18. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    19. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    20. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    21. Nader Trabelsi & Aviral Kumar Tiwari, 2023. "CO2 Emission Allowances Risk Prediction with GAS and GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 775-805, February.
    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. Don BREDIN & Cal MUCKLEY, 2010. "Is There a Stochastic Trend in European Union Emission Trading Scheme Prices?," Sosyoekonomi Journal, Sosyoekonomi Society, issue 2010-EN.
    24. Yang Liu & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    25. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    26. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    27. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
    28. Clò, Stefano & Battles, Susan & Zoppoli, Pietro, 2013. "Policy options to improve the effectiveness of the EU emissions trading system: A multi-criteria analysis," Energy Policy, Elsevier, vol. 57(C), pages 477-490.

  63. Julien Chevallier & Johanna Etner & Pierre-André Jouvet, 2008. "Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence," EconomiX Working Papers 2008-25, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Christian de Perthuis & Raphaël Trotignon, 2013. "The European CO2 allowances market: issues in the transition to Phase III," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 23, pages 500-520, Edward Elgar Publishing.
    2. Julien Chevallier, 2009. "Intertemporal Emissions Trading and Market Power: A Dominant Firm with Competitive Fringe Model," Working Papers halshs-00388207, HAL.
    3. Christian de Perthuis & Raphaël Trotignon, 2017. "Marché européen des quotas de CO2 : Les enjeux du passage à la phase 3," Working Papers hal-01504990, HAL.
    4. Julien Chevallier, 2010. "The European carbon market (2005-2007): banking, pricing and risk-hedging strategies," Working Papers halshs-00458787, HAL.

  64. Emilie Alberola & Julien Pierre Chevallier, 2007. "European carbon prices and banking restrictions: evidence from phase I (2005-2007)," EconomiX Working Papers 2007-32, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
    2. Amélie Charles & Olivier Darné & Jessica Fouilloux, 2010. "Testing the Martingale Difference Hypothesis in the EU ETS Markets for the CO2 Emission Allowances: Evidence from Phase I and Phase II," Post-Print hal-00797491, HAL.
    3. Tanattrin Bunnag, 2015. "Volatility Transmission in Oil Futures Markets and Carbon Emissions Futures," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 647-659.
    4. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    5. Veith, Stefan & Werner, Jörg R. & Zimmermann, Jochen, 2009. "Capital market response to emission rights returns: Evidence from the European power sector," Energy Economics, Elsevier, vol. 31(4), pages 605-613, July.
    6. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    7. Xu, Li & Deng, Shi-Jie & Thomas, Valerie M., 2016. "Carbon emission permit price volatility reduction through financial options," Energy Economics, Elsevier, vol. 53(C), pages 248-260.
    8. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    9. Sabbaghi, Omid & Sabbaghi, Navid, 2011. "Carbon Financial Instruments, thin trading, and volatility: Evidence from the Chicago Climate Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 399-407.
    10. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2011. "Testing the martingale difference hypothesis in CO2 emission allowances," Economic Modelling, Elsevier, vol. 28(1-2), pages 27-35, January.
    11. Emilie Alberola & Julien Chevallier & Benoît Chèze, 2008. "The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices," Working Papers hal-04140795, HAL.
    12. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    13. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.
    14. Yu, Fei & Grady, Patrick & Knipp, Robert, 2012. "Regulatory Stringency in Issuing Certified Emission Reductions and Price Effects in Secondary Markets," MPRA Paper 50184, University Library of Munich, Germany.
    15. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    16. Fan, Ying & Jia, Jun-Jun & Wang, Xin & Xu, Jin-Hua, 2017. "What policy adjustments in the EU ETS truly affected the carbon prices?," Energy Policy, Elsevier, vol. 103(C), pages 145-164.
    17. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    18. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    19. Robert W. Hahn & Robert N. Stavins, 2011. "The Effect of Allowance Allocations on Cap-and-Trade System Performance," Journal of Law and Economics, University of Chicago Press, vol. 54(S4), pages 267-294.
    20. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    21. Frédéric Branger, Philippe Quirion, Julien Chevallier, 2017. "Carbon Leakage and Competitiveness of Cement and Steel Industries Under the EU ETS: Much Ado About Nothing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    22. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
    23. Anna Creti & Marc Joëts, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Post-Print hal-01549809, HAL.
    24. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    25. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    26. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    27. Julien Chevallier, 2009. "Intertemporal Emissions Trading and Market Power: A Dominant Firm with Competitive Fringe Model," Working Papers halshs-00388207, HAL.
    28. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.
    29. Nazifi, Fatemeh, 2013. "Modelling the price spread between EUA and CER carbon prices," Energy Policy, Elsevier, vol. 56(C), pages 434-445.
    30. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    31. Julien Chevallier, 2012. "Time-varying correlations in oil, gas and CO2 prices: an application using BEKK, CCC, and DCC-MGARCH models," Post-Print hal-00991899, HAL.
    32. Alexeeva-Talebi, Victoria, 2011. "Cost pass-through of the EU emissions allowances: Examining the European petroleum markets," Energy Economics, Elsevier, vol. 33(S1), pages 75-83.
    33. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    34. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2014. "Estimation and performance evaluation of optimal hedge ratios in the carbon market of the European Union Emissions Trading Scheme," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 73-91, February.
    35. Julien Chevallier, 2011. "Detecting Instability in the Volatility of Carbon Prices," Post-Print hal-00991957, HAL.
    36. Omid Sabbaghi & Navid Sabbaghi, 2014. "An empirical analysis of the Carbon Financial Instrument," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(2), pages 209-234, April.
    37. Corinne Chaton & Anna Créti & Benoit Peluchon, 2013. "Banking and backloading emission permits," Working Papers hal-00915944, HAL.
    38. Julien Chevallier, 2012. "Banking And Borrowing In The Eu Ets: A Review Of Economic Modelling, Current Provisions And Prospects For Future Design," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 157-176, February.
    39. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers halshs-00387286, HAL.
    40. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    41. Marc Gronwald & Janina Ketterer, 2012. "What Moves the European Carbon Market? - Insights from Conditional Jump Models," CESifo Working Paper Series 3795, CESifo.
    42. Rickels, Wilfried & Görlich, Dennis & Oberst, Gerrit & Peterson, Sonja, 2012. "Carbon price dynamics: Evidence from Phase II of the European Emission Trading Scheme," Kiel Working Papers 1804, Kiel Institute for the World Economy (IfW Kiel).
    43. Liao, Ling & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda & Gehricke, Sebastian, 2023. "The role of fundamentals and policy in New Zealand's carbon prices," Energy Economics, Elsevier, vol. 124(C).
    44. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    45. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2022. "The relationship between carbon-intensive fuel and renewable energy stock prices under the emissions trading system," Energy Economics, Elsevier, vol. 114(C).
    46. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2013. "Analyse temps-fréquence de la relation entre les prix du quota et du crédit carbone," Working Papers 13-12, LAMETA, Universtiy of Montpellier, revised Nov 2013.
    47. Tang, Bao-jun & Shen, Cheng & Gao, Chao, 2013. "The efficiency analysis of the European CO2 futures market," Applied Energy, Elsevier, vol. 112(C), pages 1544-1547.
    48. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2016. "The impact of verified emissions announcements on the European Union emissions trading scheme: A bilaterally modified dummy variable modelling analysis," Applied Energy, Elsevier, vol. 173(C), pages 567-577.
    49. Chang-Yi Li & Son-Nan Chen & Shih-Kuei Lin, 2016. "Pricing derivatives with modeling CO emission allowance using a regime-switching jump diffusion model: with regime-switching risk premium," The European Journal of Finance, Taylor & Francis Journals, vol. 22(10), pages 887-908, August.
    50. Rittler, Daniel, 2009. "Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis," Working Papers 0492, University of Heidelberg, Department of Economics.
    51. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    52. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    53. Julien Chevallier & Johanna Etner & Pierre-André Jouvet, 2008. "Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence," Working Papers hal-04140731, HAL.
    54. Emilie Alberola & Julien Chevallier & Benoît Chèze, 2009. "The EU ETS: CO2 prices drivers during the learning experience (2005-2007)," Working Papers halshs-00389916, HAL.
    55. Karsten Neuhoff & Anne Schopp & Rodney Boyd & Kateryna Stelmakh & Alexander Vasa, 2012. "Banking of Surplus Emissions Allowances: Does the Volume Matter?," Discussion Papers of DIW Berlin 1196, DIW Berlin, German Institute for Economic Research.
    56. Chang-Jing Ji & Yu-Jie Hu & Bao-Jun Tang, 2018. "Research on carbon market price mechanism and influencing factors: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 761-782, June.
    57. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    58. Julien Chevallier, 2012. "Cointegration between carbon spot and futures prices: from linear to nonlinear modeling," Economics Bulletin, AccessEcon, vol. 32(1), pages 160-181.
    59. Emilie Alberola & Benoît Chèze & Julien Chevallier, 2008. "The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices," EconomiX Working Papers 2008-12, University of Paris Nanterre, EconomiX.
    60. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    61. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
    62. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2015. "Analyse temps-fréquence du co-mouvement entre le marché européen du CO2 et les autres marchés de l'énergie," Working Papers 15-08, LAMETA, Universtiy of Montpellier, revised May 2015.
    63. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    64. Benoît Chèze, Julien Chevallier, Nicolas Berghmans, and Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 153-184.
    65. Rachid Boutti & El Amri Adil & Florence Rodhain, 2019. "Multivariate Analysis of a Time Series EU ETS: Methods and Applications in Carbon Finance," Post-Print hal-03676358, HAL.
    66. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    67. Pardo, Ángel, 2021. "Carbon and inflation," Finance Research Letters, Elsevier, vol. 38(C).
    68. Carlos Pinho & Mara Madaleno, 2011. "CO 2 emission allowances and other fuel markets interaction," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(3), pages 259-281, September.
    69. Julien Chevallier, 2010. "The European carbon market (2005-2007): banking, pricing and risk-hedging strategies," Working Papers halshs-00458787, HAL.
    70. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    71. Liu, Ying Lin & Zhang, Jing Jie & Fang, Yan, 2023. "The driving factors of China's carbon prices: Evidence from using ICEEMDAN-HC method and quantile regression," Finance Research Letters, Elsevier, vol. 54(C).
    72. Koenig, P., 2011. "Modelling Correlation in Carbon and Energy Markets," Cambridge Working Papers in Economics 1123, Faculty of Economics, University of Cambridge.
    73. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    74. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    75. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    76. Marcel Gorenflo, 2013. "Futures price dynamics of CO 2 emission allowances," Empirical Economics, Springer, vol. 45(3), pages 1025-1047, December.
    77. Julien Chevallier, 2010. "Price relationships in the EU emissions trading system," Working Papers halshs-00458728, HAL.
    78. Adil El Amri & Rachid Boutti & Salah Oulfarsi & Florence Rodhain & Brahim Bouzahir, 2020. "Carbon financial markets underlying climate risk management, pricing and forecasting: Fundamental analysis," Post-Print hal-03120782, HAL.
    79. Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    80. George Daskalakis, Lazaros Symeonidis, Raphael N. Markellos, 2015. "Electricity futures prices in an emissions constrained economy: Evidence from European power markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    81. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," Working Papers hal-04140857, HAL.
    82. Claudia Kettner & Angela Köppl & Stefan Schleicher, 2010. "The EU Emission Trading Scheme. Insights from the First Trading Years with a Focus on Price Volatility," WIFO Working Papers 368, WIFO.
    83. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    84. Chau, Frankie & Kuo, Jing-Ming & Shi, Yukun, 2015. "Arbitrage opportunities and feedback trading in emissions and energy markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 130-147.
    85. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    86. Julien Chevallier, 2010. "A Note on Cointegrating and Vector Autoregressive Relationships between CO2 allowances spot and futures prices," Economics Bulletin, AccessEcon, vol. 30(2), pages 1564-1584.
    87. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.
    88. Clò, Stefano & Battles, Susan & Zoppoli, Pietro, 2013. "Policy options to improve the effectiveness of the EU emissions trading system: A multi-criteria analysis," Energy Policy, Elsevier, vol. 57(C), pages 477-490.
    89. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.
    90. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.

  65. Emilie Alberola & Julien Pierre Chevallier & Benoît Chèze, 2007. "European carbon prices fundamentals in 2005-2007: the effects of energy markets, temperatures and sectorial production," EconomiX Working Papers 2007-33, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Thijs Benschopa & Brenda López Cabrera, 2014. "Volatility Modelling of CO2 Emission Allowance Spot Prices with Regime-Switching GARCH Models," SFB 649 Discussion Papers SFB649DP2014-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Thijs Benschop & Brenda López Cabrera, 2017. "Realized volatility of CO2 futures," SFB 649 Discussion Papers SFB649DP2017-025, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    4. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    5. Leon Vinokur, 2009. "Disposition in the Carbon Market and Institutional Constraints," Working Papers 652, Queen Mary University of London, School of Economics and Finance.
    6. Don BREDIN & Cal MUCKLEY, 2010. "Is There a Stochastic Trend in European Union Emission Trading Scheme Prices?," Sosyoekonomi Journal, Sosyoekonomi Society, issue 2010-EN.
    7. Chan, Ying Tung & Zhao, Hong, 2019. "How do credit market frictions affect carbon cycles? an estimated DSGE model approach," MPRA Paper 106987, University Library of Munich, Germany, revised 05 Dec 2020.
    8. Rotfuß, Waldemar, 2009. "Intraday price formation and volatility in the European Union emissions trading scheme: an introductory analysis," ZEW Discussion Papers 09-018, ZEW - Leibniz Centre for European Economic Research.

Articles

  1. Feng Ma & M. I. M. Wahab & Julien Chevallier & Ziyang Li, 2023. "A tug of war of forecasting the US stock market volatility: Oil futures overnight versus intraday information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 60-75, January.

    Cited by:

    1. Xu, Yongan & Duong, Duy & Xu, Hualong, 2023. "Attention! Predicting crude oil prices from the perspective of extreme weather," Finance Research Letters, Elsevier, vol. 57(C).

  2. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).

    Cited by:

    1. He, Yixiong & Zhang, Fengxuan & Wang, Yanwei, 2023. "How to facilitate efficient blue carbon trading? A simulation study using the game theory to find the optimal strategy for each participant," Energy, Elsevier, vol. 276(C).

  3. Ren, Shenggang & Yang, Xuanyu & Hu, Yucai & Chevallier, Julien, 2022. "Emission trading, induced innovation and firm performance," Energy Economics, Elsevier, vol. 112(C).

    Cited by:

    1. Mo, Jianlei & Tu, Qiang & Wang, Jianing, 2023. "Carbon pricing and enterprise productivity-The role of price stabilization mechanism," Energy Economics, Elsevier, vol. 120(C).
    2. Li, Xuelian & Zhou, Wei & Lin, Jyh-Jiuan & Chang, Ching-Hui, 2023. "Insurer financing for borrowing producers in a supply chain under alternative carbon allowance trades," Energy Economics, Elsevier, vol. 121(C).

  4. Hu, Yucai & Li, Ranran & Du, Lei & Ren, Shenggang & Chevallier, Julien, 2022. "Could SO2 and CO2 emissions trading schemes achieve co-benefits of emissions reduction?," Energy Policy, Elsevier, vol. 170(C).

    Cited by:

    1. Shen, Jun & Tang, Pengcheng & Zeng, Hao & Cheng, Jinhua & Liu, Xiuli, 2023. "Does emission trading system reduce mining cities’ pollution emissions? A quasi-natural experiment based on Chinese prefecture-level cities," Resources Policy, Elsevier, vol. 81(C).
    2. Zijian Liu & Lian Cai & Yabin Zhang, 2023. "Co-Benefits of China’s Carbon Emissions Trading Scheme: Impact Mechanism and Spillover Effect," IJERPH, MDPI, vol. 20(5), pages 1-13, February.

  5. Mohamed Sahbi Nakhli & Abderrazak Dhaoui & Julien Chevallier, 2022. "Bootstrap rolling-window Granger causality dynamics between momentum and sentiment: implications for investors," Annals of Finance, Springer, vol. 18(2), pages 267-283, June.

    Cited by:

    1. Florin Cornel Dumiter & Florin Turcaș & Ștefania Amalia Nicoară & Cristian Bențe & Marius Boiță, 2023. "The Impact of Sentiment Indices on the Stock Exchange—The Connections between Quantitative Sentiment Indicators, Technical Analysis, and Stock Market," Mathematics, MDPI, vol. 11(14), pages 1-26, July.
    2. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    3. Kanzari, Dalel & Nakhli, Mohamed Sahbi & Gaies, Brahim & Sahut, Jean-Michel, 2023. "Predicting macro-financial instability – How relevant is sentiment? Evidence from long short-term memory networks," Research in International Business and Finance, Elsevier, vol. 65(C).

  6. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.

    Cited by:

    1. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    2. Hamdy Ahmad Aly Alhendawy & Mohammed Galal Abdallah Mostafa & Mohamed Ibrahim Elgohari & Ibrahim Abdalla Abdelraouf Mohamed & Nabil Medhat Arafat Mahmoud & Mohamed Ahmed Mohamed Mater, 2023. "Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 679-689, November.
    3. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).
    4. Dai, Yeming & Yang, Xinyu & Leng, Mingming, 2022. "Forecasting power load: A hybrid forecasting method with intelligent data processing and optimized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    5. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).
    6. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).

  7. Ma, Feng & Guo, Yangli & Chevallier, Julien & Huang, Dengshi, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).

    Cited by:

    1. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Drivers of Realized Volatility for Emerging Countries with a Focus on South Africa: Fundamentals versus Sentiment," Mathematics, MDPI, vol. 11(6), pages 1-26, March.
    2. Ding, Hui & Huang, Yisu & Wang, Jiqian, 2023. "Have the predictability of oil changed during the COVID-19 pandemic: Evidence from international stock markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan & Vo, Xuan Vinh, 2023. "Portfolio diversification during the COVID-19 pandemic: Do vaccinations matter?," Journal of Financial Stability, Elsevier, vol. 65(C).
    4. Liu, Jing & Chen, Zhonglu, 2023. "How do stock prices respond to the leading economic indicators? Analysis of large and small shocks," Finance Research Letters, Elsevier, vol. 51(C).
    5. Yang, Xin & Jin, Cheng & Huang, Chuangxia & Yang, Xiaoguang, 2023. "Network characteristics and stock liquidity:Evidence from the UK," Finance Research Letters, Elsevier, vol. 53(C).
    6. Han, Yingwei & Li, Jie, 2023. "The impact of global economic policy uncertainty on portfolio optimization: A Black–Litterman approach," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023. "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, vol. 85(C).
    8. Zeng, Qing & Cao, Jiawei & Guo, Yangli & Dong, Dayong, 2023. "The macroeconomic attention index: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    9. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
    10. Lu, Xinjie & Lang, Qiaoqi, 2023. "Categorial economic policy uncertainty indices or Twitter-based uncertainty indices? Evidence from Chinese stock market," Finance Research Letters, Elsevier, vol. 55(PB).

  8. Chen, Wang & Chevallier, Julien & Wang, Jiqian & Zhong, Juandan, 2022. "Stock market return predictability revisited: Evidence from a new index constructing the oil market," Finance Research Letters, Elsevier, vol. 49(C).

    Cited by:

    1. Peng, Qiao & Liu, Weilong & Zhang, Yong & Zeng, Shihong & Graham, Byron, 2023. "Generation planning for power companies with hybrid production technologies under multiple renewable energy policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

  9. Huang, Liqing & Zhu, Bangzhu & Wang, Ping & Chevallier, Julien, 2022. "Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 344-352.

    Cited by:

    1. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    2. Rui Zhou, 2022. "Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China," Land, MDPI, vol. 11(8), pages 1-36, July.

  10. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).

    Cited by:

    1. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    2. Liu, Tao & Guan, Xinyue & Wei, Yigang & Xue, Shan & Xu, Liang, 2023. "Impact of economic policy uncertainty on the volatility of China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 121(C).
    3. Zhang, Ditian & Tang, Pan, 2023. "Forecasting European Union allowances futures: The role of technical indicators," Energy, Elsevier, vol. 270(C).
    4. Huang, Wenyang & Gao, Tianxiao & Hao, Yun & Wang, Xiuqing, 2023. "Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices," Energy Economics, Elsevier, vol. 127(PA).
    5. Guo, Lili & Huang, Xinya & Li, Yanjiao & Li, Houjian, 2023. "Forecasting crude oil futures price using machine learning methods: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    6. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Muziyun Liu & Hui Liu, 2023. "Influence of Climate Change on Carbon Emissions during Grain Production and Its Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    8. Liu, Xiaoqin & Wojewodzki, Michal & Cai, Yifei & Sharma, Satish, 2023. "The dynamic relationships between carbon prices and policy uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

  11. Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021. "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 537-575, February.

    Cited by:

    1. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).

  12. Zhu, Bo & Liu, Jiahao & Lin, Renda & Chevallier, Julien, 2021. "Cross-border systemic risk spillovers in the global oil system: Does the oil trade pattern matter?," Energy Economics, Elsevier, vol. 101(C).

    Cited by:

    1. Wu, Fei & Xiao, Xuanqi & Zhou, Xinyu & Zhang, Dayong & Ji, Qiang, 2022. "Complex risk contagions among large international energy firms: A multi-layer network analysis," Energy Economics, Elsevier, vol. 114(C).
    2. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    3. Tongshuai Qiao & Liyan Han, 2023. "COVID‐19 and tail risk contagion across commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 242-272, February.
    4. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).

  13. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.

    Cited by:

    1. Wang, Ruting & Althof, Michael & Härdle, Wolfgang Karl, 2023. "A financial risk meter for China," Emerging Markets Review, Elsevier, vol. 56(C).
    2. Wang, Gang-Jin & Wan, Li & Feng, Yusen & Xie, Chi & Uddin, Gazi Salah & Zhu, You, 2023. "Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    4. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023. "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    5. Chen, Yan & Mo, Dongxu & Xu, Zezhou, 2022. "A study of interconnections and contagion among Chinese financial institutions using a ΔCoV aR network," Finance Research Letters, Elsevier, vol. 45(C).
    6. Tian, Maoxi & Guo, Fei & Niu, Rong, 2022. "Risk spillover analysis of China’s financial sectors based on a new GARCH copula quantile regression model," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    7. Zhou, Yuqin & Wu, Shan & Zhang, Zeyi, 2022. "Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network," Energy Economics, Elsevier, vol. 114(C).
    8. Beibei Zhang & Xuemei Xie & Chunmei Li, 2023. "How Connected Is China’s Systemic Financial Risk Contagion Network?—A Dynamic Network Perspective Analysis," Mathematics, MDPI, vol. 11(10), pages 1-19, May.
    9. Dai, Zhifeng & Tang, Rui & Zhang, Xiaotong, 2023. "A new multilayer network for measuring interconnectedness among the energy firms," Energy Economics, Elsevier, vol. 124(C).
    10. Ouyang, Zisheng & Zhou, Xuewei, 2023. "Multilayer networks in the frequency domain: Measuring extreme risk connectedness of Chinese financial institutions," Research in International Business and Finance, Elsevier, vol. 65(C).
    11. Liu, Peipei & Huang, Wei-Qiang, 2022. "Modelling international sovereign risk information spillovers: A multilayer network approach," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    12. Huang, Chuangxia & Deng, Yunke & Yang, Xiaoguang & Cao, Jinde & Yang, Xin, 2021. "A network perspective of comovement and structural change: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 76(C).
    13. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022. "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    14. Dai, Zhifeng & Tang, Rui & Zhang, Xinhua, 2023. "Multilayer network analysis for measuring the inter-connectedness between the oil market and G20 stock markets," Energy Economics, Elsevier, vol. 120(C).
    15. Fuwei Xu, 2024. "Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 47-73, January.
    16. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023. "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, vol. 87(C).

  14. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.

    Cited by:

    1. Zeyd Boukhers & Azeddine Bouabdallah & Matthias Lohr & Jan Jurjens, 2022. "Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price," Papers 2202.08967, arXiv.org.
    2. Kate Murray & Andrea Rossi & Diego Carraro & Andrea Visentin, 2023. "On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles," Forecasting, MDPI, vol. 5(1), pages 1-14, January.

  15. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes & Chevallier, Julien, 2021. "On the nonlinear relationship between energy use and CO2 emissions within an EKC framework: Evidence from panel smooth transition regression in the MENA region," Research in International Business and Finance, Elsevier, vol. 55(C).

    Cited by:

    1. Cheng, Louis T.W. & Shen, Jianfu & Wojewodzki, Michal, 2023. "A cross-country analysis of corporate carbon performance: An international investment perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Nidhaleddine Ben Cheikh & Younes Ben Zaied, 2021. "A new look at carbon dioxide emissions in MENA countries," Climatic Change, Springer, vol. 166(3), pages 1-22, June.
    3. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    4. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. Jiang, Qichuan & Ma, Xuejiao & Wang, Yun, 2021. "How does the one belt one road initiative affect the green economic growth?," Energy Economics, Elsevier, vol. 101(C).
    6. Lv, Zhike & Jiang, Fei & Xu, Ting, 2022. "Female parliamentarians and environment nexus: The neglected role of governance quality," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Sun, Yunpeng & Li, Haoning & Andlib, Zubaria & Genie, Mesfin G., 2022. "How do renewable energy and urbanization cause carbon emissions? Evidence from advanced panel estimation techniques," Renewable Energy, Elsevier, vol. 185(C), pages 996-1005.
    8. Leitão, João & Ferreira, Joaquim & Santibanez-González, Ernesto, 2022. "New insights into decoupling economic growth, technological progress and carbon dioxide emissions: Evidence from 40 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Ayhan Orhan & Tomiwa Sunday Adebayo & Sema Yılmaz Genç & Dervis Kirikkaleli, 2021. "Investigating the Linkage between Economic Growth and Environmental Sustainability in India: Do Agriculture and Trade Openness Matter?," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    10. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    11. Mohammed Musah & Yusheng Kong & Isaac Adjei Mensah & Stephen Kwadwo Antwi & Agyemang Andrew Osei & Mary Donkor, 2021. "Modelling the connection between energy consumption and carbon emissions in North Africa: Evidence from panel models robust to cross-sectional dependence and slope heterogeneity," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15225-15239, October.
    12. Obobisa, Emma Serwaa, 2022. "Achieving 1.5 °C and net-zero emissions target: The role of renewable energy and financial development," Renewable Energy, Elsevier, vol. 188(C), pages 967-985.
    13. Khan, Rabnawaz, 2023. "The impact of a new techno-nationalism era on eco-economic decoupling," Resources Policy, Elsevier, vol. 82(C).
    14. Wang, Yongpei & Yan, Qing & Luo, Yifei & Zhang, Qian, 2023. "Carbon abatement of electricity sector with renewable energy deployment: Evidence from China," Renewable Energy, Elsevier, vol. 210(C), pages 1-11.
    15. Yu, Zhang & Khan, Syed Abdul Rehman & Ponce, Pablo & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose, 2022. "Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    16. Montassar Kahia & Anis Omri & Bilel Jarraya, 2020. "Does Green Energy Complement Economic Growth for Achieving Environmental Sustainability? Evidence from Saudi Arabia," Sustainability, MDPI, vol. 13(1), pages 1-12, December.
    17. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    18. Wang, Yunxian & Wang, Xin & Zhang, Zheng & Cui, Zhanmin & Zhang, Yuan, 2023. "Role of fiscal and monetary policies for economic recovery in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 51-63.
    19. Shah, Syed Ale Raza & Zhang, Qianxiao & Abbas, Jaffar & Balsalobre-Lorente, Daniel & Pilař, Ladislav, 2023. "Technology, Urbanization and Natural Gas Supply Matter for Carbon Neutrality: A New Evidence of Environmental Sustainability under the Prism of COP26," Resources Policy, Elsevier, vol. 82(C).
    20. Wang, Zheng-Xin & Jv, Yue-Qi, 2022. "A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution," Finance Research Letters, Elsevier, vol. 50(C).
    21. Mounir Dahmani & Mohamed Mabrouki & Adel Ben Youssef, 2021. "The ICT, Financial Development, Energy Consumption and Economic Growth Nexus in MENA Countries: Panel CS-ARDL Evidence," GREDEG Working Papers 2021-46, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

  16. Wang, Gang-Jin & Si, Hui-Bin & Chen, Yang-Yang & Xie, Chi & Chevallier, Julien, 2021. "Time domain and frequency domain Granger causality networks: Application to China’s financial institutions," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    2. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    3. Tian, Maoxi & Guo, Fei & Niu, Rong, 2022. "Risk spillover analysis of China’s financial sectors based on a new GARCH copula quantile regression model," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2022. "Research on stock volatility risk and investor sentiment contagion from the perspective of multi-layer dynamic network," International Review of Financial Analysis, Elsevier, vol. 84(C).
    5. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhu, Huiming, 2022. "Multiscale features of extreme risk spillover networks among global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    6. Hu, Yunchao & Lu, Guibin & Gao, Wenyu, 2022. "A study on China’s systemically important financial institutions based on multi-time scale causality networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

  17. Zhu, Bo & Lin, Renda & Deng, Yuanyue & Chen, Pingshe & Chevallier, Julien, 2021. "Intersectoral systemic risk spillovers between energy and agriculture under the financial and COVID-19 crises," Economic Modelling, Elsevier, vol. 105(C).

    Cited by:

    1. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    2. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    3. Mathias Mandla Manguzvane & John Weirstrass Muteba Mwamba, 2022. "South African Banks’ Cross-Border Systemic Risk Exposure: An Application of the GAS Copula Marginal Expected Shortfall," IJFS, MDPI, vol. 10(1), pages 1-19, March.
    4. Lu, Ran & Xu, Wen & Zeng, Hongjun & Zhou, Xiangjing, 2023. "Volatility connectedness among the Indian equity and major commodity markets under the COVID-19 scenario," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1465-1481.
    5. Just, Małgorzata & Echaust, Krzysztof, 2022. "Dynamic spillover transmission in agricultural commodity markets: What has changed after the COVID-19 threat?," Economics Letters, Elsevier, vol. 217(C).
    6. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    7. Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
    8. Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
    9. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Tiwari, Aviral Kumar & Farid, Saqib, 2023. "Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19," Economic Modelling, Elsevier, vol. 118(C).

  18. Chevallier, Julien & Goutte, Stéphane & Ji, Qiang & Guesmi, Khaled, 2021. "Green finance and the restructuring of the oil-gas-coal business model under carbon asset stranding constraints," Energy Policy, Elsevier, vol. 149(C).

    Cited by:

    1. Gutiérrez-López, Cristina & Castro, Paula & Tascón, María T., 2022. "How can firms' transition to a low-carbon economy affect the distance to default?," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Tzai-Chiao Lee & Muhammad Khalid Anser & Abdelmohsen A. Nassani & Mohamed Haffar & Khalid Zaman & Muhammad Moinuddin Qazi Abro, 2021. "Managing Natural Resources through Sustainable Environmental Actions: A Cross-Sectional Study of 138 Countries," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    3. Egging-Bratseth, Ruud & Holz, Franziska & Czempinski, Victoria, 2021. "Freedom gas to Europe: Scenarios analyzed using the Global Gas Model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 58.
    4. Xu, Yong & Li, Shanshan & Zhou, Xiaoxiao & Shahzad, Umer & Zhao, Xin, 2022. "How environmental regulations affect the development of green finance: Recent evidence from polluting firms in China," Renewable Energy, Elsevier, vol. 189(C), pages 917-926.
    5. Olga S. Eremeeva & Lyudmila A. Mochalova, 2023. "Organisational economic mechanism of circular subsoil use," Journal of New Economy, Ural State University of Economics, vol. 24(1), pages 104-125, April.
    6. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    7. Zhang, Xinhua & Zhang, Qianqian & Dai, Zhifeng & Zhang, Xiaotong, 2023. "The impact of carbon markets on the financial performance of power producers: Evidence based on China," Energy Economics, Elsevier, vol. 127(PA).
    8. Louis Daumas, 2021. "Should we fear transition risks - A review of the applied literature," Working Papers 2021.05, FAERE - French Association of Environmental and Resource Economists.
    9. Wang, Zilong & Wang, Xinbin, 2022. "Research on the impact of green finance on energy efficiency in different regions of China based on the DEA-Tobit model," Resources Policy, Elsevier, vol. 77(C).
    10. Liu, Yue & Tian, Lixin & Sun, Huaping & Zhang, Xiling & Kong, Chuimin, 2022. "Option pricing of carbon asset and its application in digital decision-making of carbon asset," Applied Energy, Elsevier, vol. 310(C).

  19. Feng Ma & Xinjie Lu & Lu Wang & Julien Chevallier, 2021. "Global economic policy uncertainty and gold futures market volatility: Evidence from Markov regime‐switching GARCH‐MIDAS models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1070-1085, September.

    Cited by:

    1. Wang, Jiqian & Li, Liang, 2023. "Climate risk and Chinese stock volatility forecasting: Evidence from ESG index," Finance Research Letters, Elsevier, vol. 55(PA).
    2. Guo, Xiaozhu & Huang, Dengshi & Li, Xiafei & Liang, Chao, 2023. "Are categorical EPU indices predictable for carbon futures volatility? Evidence from the machine learning method," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 672-693.
    3. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    4. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    5. Qifa Xu & Zezhou Wang & Cuixia Jiang & Yezheng Liu, 2023. "Deep learning on mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2099-2120, December.
    6. Hong, Yanran & Yu, Jize & Su, Yuquan & Wang, Lu, 2023. "Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 358-368.
    7. Zhang, Lixia & Bai, Jiancheng & Zhang, Yueyan & Cui, Can, 2023. "Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    9. Su, Chi-Wei & Pang, Lidong & Umar, Muhammad & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2022. "Does gold's hedging uncertainty aura fade away?," Resources Policy, Elsevier, vol. 77(C).
    10. Wu, Hao & Zhu, Huiming & Huang, Fei & Mao, Weifang, 2023. "How does economic policy uncertainty drive time–frequency connectedness across commodity and financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    11. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    12. Hong, Yanran & Xu, Pengfei & Wang, Lu & Pan, Zhigang, 2022. "Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis," Finance Research Letters, Elsevier, vol. 48(C).
    13. Li, Xiafei & Liang, Chao & Chen, Zhonglu & Umar, Muhammad, 2022. "Forecasting crude oil volatility with uncertainty indicators: New evidence," Energy Economics, Elsevier, vol. 108(C).
    14. Liu, Na & Gao, Fumin, 2022. "The world uncertainty index and GDP growth rate," Finance Research Letters, Elsevier, vol. 49(C).
    15. Lv, Wendai & Qi, Jipeng & Feng, Jing, 2023. "Economic policy uncertainty and environmental governance company volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    16. Chi-Wei Su & Lidong Pang & Muhammad Umar & Oana-Ramona Lobonţ, 2022. "Will Gold Always Shine amid World Uncertainty?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(12), pages 3425-3438, September.
    17. Yu, Fanchao, 2023. "Macroeconomic information, global economic policy uncertainty and gold futures return predictability," Finance Research Letters, Elsevier, vol. 55(PA).

  20. Abdullah Alqahtani & Julien Chevallier, 2020. "Dynamic Spillovers between Gulf Cooperation Council’s Stocks, VIX, Oil and Gold Volatility Indices," JRFM, MDPI, vol. 13(4), pages 1-17, April.

    Cited by:

    1. Zhifang He & Jiaqi Chen & Fangzhao Zhou & Guoqing Zhang & Fenghua Wen, 2022. "Oil price uncertainty and the risk‐return relation in stock markets: Evidence from oil‐importing and oil‐exporting countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1154-1172, January.
    2. Ngo Thai Hung, 2021. "Financial connectedness of GCC emerging stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 753-773, December.

  21. Nguyen, Quynh Nga & Bedoui, Rihab & Majdoub, Najemeddine & Guesmi, Khaled & Chevallier, Julien, 2020. "Hedging and safe-haven characteristics of Gold against currencies: An investigation based on multivariate dynamic copula theory," Resources Policy, Elsevier, vol. 68(C).

    Cited by:

    1. Zhu, Xuehong & Niu, Zibo & Zhang, Hongwei & Huang, Jiaxin & Zuo, Xuguang, 2022. "Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach," Resources Policy, Elsevier, vol. 79(C).
    2. Zhu, Pengfei & Lu, Tuantuan & Chen, Shenglan, 2022. "How do crude oil futures hedge crude oil spot risk after the COVID-19 outbreak? A wavelet denoising-GARCHSK-SJC Copula hedge ratio estimation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Wang, Kuan-Min & Lee, Yuan-Ming, 2022. "Is gold a safe haven for exchange rate risks? An empirical study of major currency countries," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    4. Yang, Cai & Wang, Xinyi & Gao, Wang, 2022. "Is Bitcoin a better hedging and safe-haven investment than traditional assets against currencies? Evidence from the time-frequency domain approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Marwa Talbi & Rihab Bedoui & Christian de Peretti & Lotfi Belkacem, 2021. "Is the role of precious metals as precious as they are? A vine copula and BiVaR approaches," Post-Print hal-03671370, HAL.
    6. Yunsong Xu & Hanying Qi & Jiaqi Li & Ning Ding, 2021. "The Risk Spillover Effects of the Real Estate Industry on the Financial Industry: A GARCH-Time-Varying-Copula-CoVaR Approach on China," SAGE Open, , vol. 11(4), pages 21582440211, December.
    7. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    8. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    9. Będowska-Sójka, Barbara & Kliber, Agata, 2022. "Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective," Energy Economics, Elsevier, vol. 115(C).
    10. Munir Khamis & Dalal Aassouli, 2023. "The Eligibility of Green Bonds as Safe Haven Assets: A Systematic Review," Sustainability, MDPI, vol. 15(8), pages 1-27, April.
    11. Kunkler, Michael, 2022. "Hedging local currency risk with precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    12. Kliber, Agata, 2022. "Looking for a safe haven against American stocks during COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. Tanin, Tauhidul Islam & Sarker, Ashutosh & Brooks, Robert, 2021. "Do currency exchange rates impact gold prices? New evidence from the ongoing COVID-19 period," International Review of Financial Analysis, Elsevier, vol. 77(C).
    14. Beatriz de la Flor & Javier Ojea-Ferreiro & Eva Ferreira, 2022. "The Hedging Cost of Forgetting the Exchange Rate," Documentos de Trabajo del ICAE 2022-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  22. Julien Chevallier, 2020. "COVID-19 Outbreak and CO 2 Emissions: Macro-Financial Linkages," JRFM, MDPI, vol. 14(1), pages 1-18, December.
    See citations under working paper version above.
  23. Urom, Christian & Abid, Ilyes & Guesmi, Khaled & Chevallier, Julien, 2020. "Quantile spillovers and dependence between Bitcoin, equities and strategic commodities," Economic Modelling, Elsevier, vol. 93(C), pages 230-258.

    Cited by:

    1. Ayedi Ahmed & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2023. "Managing Portfolio Risk During the BREXIT Crisis: A Cross-Quantilogram Analysis of Stock Markets and Commodities Across European Countries, the US, and BRICS," Working Papers halshs-04068651, HAL.
    2. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    3. Wu, Gabriel Shui Tang & Leung, Pak Ho, 2023. "Do asset-backed stablecoins spread crypto volatility to traditional financial assets? Evidence from Tether," Economics Letters, Elsevier, vol. 229(C).
    4. José Almeida & Tiago Cruz Gonçalves, 2022. "Portfolio Diversification, Hedge and Safe-Haven Properties in Cryptocurrency Investments and Financial Economics: A Systematic Literature Review," JRFM, MDPI, vol. 16(1), pages 1-25, December.
    5. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
    6. Ben Khelifa, Soumaya & Guesmi, Khaled & Urom, Christian, 2021. "Exploring the relationship between cryptocurrencies and hedge funds during COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 76(C).
    7. Zhang, Chuanhai & Zhang, Zhengjun & Xu, Mengyu & Peng, Zhe, 2023. "Good and bad self-excitation: Asymmetric self-exciting jumps in Bitcoin returns," Economic Modelling, Elsevier, vol. 119(C).
    8. Urom, Christian, 2023. "Time–frequency dependence and connectedness between financial technology and green assets," International Economics, Elsevier, vol. 175(C), pages 139-157.
    9. Walid Chkili, 2021. "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 433-448, September.
    10. Cao, Guangxi & Xie, Wenhao, 2021. "The impact of the shutdown policy on the asymmetric interdependence structure and risk transmission of cryptocurrency and China’s financial market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    11. Urom, C. & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, K., 2022. "Dynamic dependence between clean investments and economic policy uncertainty," MERIT Working Papers 2022-027, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Bhuiyan, Rubaiyat Ahsan & Husain, Afzol & Zhang, Changyong, 2021. "A wavelet approach for causal relationship between bitcoin and conventional asset classes," Resources Policy, Elsevier, vol. 71(C).
    13. Bojaj, Martin M. & Muhadinovic, Milica & Bracanovic, Andrej & Mihailovic, Andrej & Radulovic, Mladen & Jolicic, Ivan & Milosevic, Igor & Milacic, Veselin, 2022. "Forecasting macroeconomic effects of stablecoin adoption: A Bayesian approach," Economic Modelling, Elsevier, vol. 109(C).
    14. Jiang, Wen & Xu, Qiuhua & Zhang, Ruige, 2022. "Tail-event driven network of cryptocurrencies and conventional assets," Finance Research Letters, Elsevier, vol. 46(PB).
    15. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    16. Chu, Meifen, 2021. "Bitcoin and traditional currencies during the Covid-19 pandemic period," MPRA Paper 110117, University Library of Munich, Germany.
    17. Urom, Christian & Guesmi, Khaled & Abid, Ilyes & Dagher, Leila, 2023. "Dynamic integration and transmission channels among interest rates and oil price shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 296-317.
    18. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    19. Urom, Christian & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Directional predictability and time-frequency spillovers among clean energy sectors and oil price uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 326-341.
    20. Georgios Bampinas & Theodore Panagiotidis, 2024. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," Working Paper series 24-01, Rimini Centre for Economic Analysis.
    21. Le, Trung Hai & Do, Hung Xuan & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Covid-19 pandemic and tail-dependency networks of financial assets," Finance Research Letters, Elsevier, vol. 38(C).
    22. Urom, Christian & Mzoughi, Hela & Abid, Ilyes & Brahim, Mariem, 2021. "Green markets integration in different time scales: A regional analysis," Energy Economics, Elsevier, vol. 98(C).
    23. Maghyereh, Aktham & Abdoh, Hussein, 2021. "Time–frequency quantile dependence between Bitcoin and global equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    24. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    25. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    26. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.
    27. Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
    28. Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).
    29. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    30. Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Mirza, Nawazish & Umar, Muhammad, 2022. "Safe haven properties of green, Islamic, and crypto assets and investor's proclivity towards treasury and gold," Energy Economics, Elsevier, vol. 115(C).
    31. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    32. Abdullah, Mohammad & Adeabah, David & Abakah, Emmanuel Joel Aikins & Lee, Chi-Chuan, 2023. "Extreme return and volatility connectedness among real estate tokens, REITs, and other assets: The role of global factors and portfolio implications," Finance Research Letters, Elsevier, vol. 56(C).
    33. Ruano, Fábio & Barros, Victor, 2022. "Commodities and portfolio diversification: Myth or fact?," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 281-295.
    34. Chkili, Walid & Ben Rejeb, Aymen & Arfaoui, Mongi, 2021. "Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold," Resources Policy, Elsevier, vol. 74(C).

  24. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben & Chevallier, Julien, 2020. "Asymmetric volatility in cryptocurrency markets: New evidence from smooth transition GARCH models," Finance Research Letters, Elsevier, vol. 35(C).

    Cited by:

    1. Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2022. "On the volatility of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    3. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    4. Giannellis, Nikolaos, 2022. "Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Cryptocurrencies vs. US dollar: Evidence from causality in quantiles analysis," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 238-252.
    6. Kislay Kumar Jha & Dirk G. Baur, 2020. "Regime-Dependent Good and Bad Volatility of Bitcoin," JRFM, MDPI, vol. 13(12), pages 1-16, December.
    7. Zhang, Chuanhai & Zhang, Zhengjun & Xu, Mengyu & Peng, Zhe, 2023. "Good and bad self-excitation: Asymmetric self-exciting jumps in Bitcoin returns," Economic Modelling, Elsevier, vol. 119(C).
    8. Walid Chkili, 2021. "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 433-448, September.
    9. Aharon, David Y. & Butt, Hassan Anjum & Jaffri, Ali & Nichols, Brian, 2023. "Asymmetric volatility in the cryptocurrency market: New evidence from models with structural breaks," International Review of Financial Analysis, Elsevier, vol. 87(C).
    10. Yin, Libo & Nie, Jing & Han, Liyan, 2021. "Understanding cryptocurrency volatility: The role of oil market shocks," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 233-253.
    11. Fang, Tong & Su, Zhi & Yin, Libo, 2020. "Economic fundamentals or investor perceptions? The role of uncertainty in predicting long-term cryptocurrency volatility," International Review of Financial Analysis, Elsevier, vol. 71(C).
    12. D’Amato, Valeria & Levantesi, Susanna & Piscopo, Gabriella, 2022. "Deep learning in predicting cryptocurrency volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    13. Siu Hin Tang & Mathieu Rosenbaum & Chao Zhou, 2023. "Forecasting Volatility with Machine Learning and Rough Volatility: Example from the Crypto-Winter," Papers 2311.04727, arXiv.org, revised Feb 2024.
    14. Elie Bouri & Afees A. Salisu & Rangan Gupta, 2023. "The predictive power of Bitcoin prices for the realized volatility of US stock sector returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    15. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
    16. Pascal Bruhn & Dietmar Ernst, 2022. "Assessing the Risk Characteristics of the Cryptocurrency Market: A GARCH-EVT-Copula Approach," JRFM, MDPI, vol. 15(8), pages 1-28, August.
    17. Fung, Kennard & Jeong, Jiin & Pereira, Javier, 2022. "More to cryptos than bitcoin: A GARCH modelling of heterogeneous cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PA).
    18. Fahad Mostafa & Pritam Saha & Mohammad Rafiqul Islam & Nguyet Nguyen, 2021. "GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies," JRFM, MDPI, vol. 14(9), pages 1-22, September.
    19. José Antonio Núñez-Mora & Mario Iván Contreras-Valdez & Roberto Joaquín Santillán-Salgado, 2023. "Risk Premium of Bitcoin and Ethereum during the COVID-19 and Non-COVID-19 Periods: A High-Frequency Approach," Mathematics, MDPI, vol. 11(20), pages 1-20, October.
    20. Kakinaka, Shinji & Umeno, Ken, 2022. "Asymmetric volatility dynamics in cryptocurrency markets on multi-time scales," Research in International Business and Finance, Elsevier, vol. 62(C).
    21. Day Yang Liu & Ming Chen Chun & Yi Kai Su, 2021. "The impacts of Covid-19 pandemic on the smooth transition dynamics of stock market index volatilities for the Four Asian Tigers and Japan," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(4), pages 183-194, June.
    22. Jie Cheng, 2023. "Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies," Empirical Economics, Springer, vol. 65(2), pages 899-924, August.
    23. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    24. Ghosh, Bikramaditya & Bouri, Elie & Wee, Jung Bum & Zulfiqar, Noshaba, 2023. "Return and volatility properties: Stylized facts from the universe of cryptocurrencies and NFTs," Research in International Business and Finance, Elsevier, vol. 65(C).
    25. Brini, Alessio & Lenz, Jimmie, 2022. "Assessing the resiliency of investors against cryptocurrency market crashes through the leverage effect," Economics Letters, Elsevier, vol. 220(C).
    26. Maurice Omane‐Adjepong & Imhotep Paul Alagidede, 2021. "Modelling Asymmetry and Leverage in Cryptocurrencies and Emerging Financial Markets," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 152-166, June.
    27. Wang, Jying-Nan & Liu, Hung-Chun & Lee, Yen-Hsien & Hsu, Yuan-Teng, 2023. "FoMO in the Bitcoin market: Revisiting and factors," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 244-253.
    28. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    29. Wu, Xinyu & Yin, Xuebao & Umar, Zaghum & Iqbal, Najaf, 2023. "Volatility forecasting in the Bitcoin market: A new proposed measure based on the VS-ACARR approach," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    30. Guo, Zi-Yi, 2022. "Risk management of Bitcoin futures with GARCH models," Finance Research Letters, Elsevier, vol. 45(C).

  25. Urom, Christian & Chevallier, Julien & Zhu, Bangzhu, 2020. "A dynamic conditional regime-switching GARCH CAPM for energy and financial markets," Energy Economics, Elsevier, vol. 85(C).

    Cited by:

    1. José Antonio Núñez-Mora & Roberto Joaquín Santillán-Salgado & Mario Iván Contreras-Valdez, 2022. "COVID Asymmetric Impact on the Risk Premium of Developed and Emerging Countries’ Stock Markets," Mathematics, MDPI, vol. 10(9), pages 1-36, April.

  26. Li, Yan & Chevallier, Julien & Wei, Yigang & Li, Jing, 2020. "Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach," Energy Economics, Elsevier, vol. 87(C).

    Cited by:

    1. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
    2. Chen, Jiandong & Xie, Qiaoli & Shahbaz, Muhammad & Song, Malin & Wu, Yuliang, 2021. "The fossil energy trade relations among BRICS countries," Energy, Elsevier, vol. 217(C).
    3. Villa-Loaiza, Carlos & Taype-Huaman, Irvin & Benavides-Franco, Julián & Buenaventura-Vera, Guillermo & Carabalí-Mosquera, Jaime, 2023. "Does climate impact the relationship between the energy price and the stock market? The Colombian case," Applied Energy, Elsevier, vol. 336(C).
    4. Yang, Haijun & Han, Xin & Wang, Li, 2021. "Is there a bubble in the shale gas market?," Energy, Elsevier, vol. 215(PA).
    5. Gharib, Cheima & Mefteh-Wali, Salma & Serret, Vanessa & Ben Jabeur, Sami, 2021. "Impact of COVID-19 pandemic on crude oil prices: Evidence from Econophysics approach," Resources Policy, Elsevier, vol. 74(C).
    6. Wang, Zuyi & Kim, Man-Keun, 2022. "Price bubbles in oil & gas markets and their transfer," Resources Policy, Elsevier, vol. 79(C).
    7. Khan, Khalid & Su, Chi Wei & Khurshid, Adnan, 2022. "Do booms and busts identify bubbles in energy prices?," Resources Policy, Elsevier, vol. 76(C).
    8. Ozgur, Onder & Yilanci, Veli & Ozbugday, Fatih Cemil, 2021. "Detecting speculative bubbles in metal prices: Evidence from GSADF test and machine learning approaches," Resources Policy, Elsevier, vol. 74(C).
    9. Kaushik Ranjan Bandyopadhyay, 2022. "Oil and Gas Markets and COVID-19: A Critical Rumination on Drivers, Triggers, and Volatility," Energies, MDPI, vol. 15(8), pages 1-21, April.
    10. Akcora, Begum & Kandemir Kocaaslan, Ozge, 2023. "Price bubbles in the European natural gas market between 2011 and 2020," Resources Policy, Elsevier, vol. 80(C).
    11. Bai, Dongbei & Hu, Jin & Irfan, Muhammad & Hu, Mingjun, 2023. "Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model," Energy Economics, Elsevier, vol. 125(C).
    12. Potrykus, Marcin, 2023. "Investing in wine, precious metals and G-7 stock markets – A co-occurrence analysis for price bubbles," International Review of Financial Analysis, Elsevier, vol. 87(C).
    13. Pastor, Daniel J. & Ewing, Bradley T., 2022. "Is there evidence of mild explosive behavior in Alaska North Slope crude oil prices?," Energy Economics, Elsevier, vol. 114(C).
    14. Zhang, Lingge & Yang, Dong & Wu, Shining & Luo, Meifeng, 2023. "Revisiting the pricing benchmarks for Asian LNG — An equilibrium analysis," Energy, Elsevier, vol. 262(PA).
    15. Yan Li & Zhicheng Wang & Hongchuan Wang & Meiyu Wu & Lingling Xie, 2021. "Identifying price bubble periods in the Bitcoin market-based on GSADF model," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1829-1844, October.
    16. Su, Chi Wei & Qin, Meng & Chang, Hsu-Ling & Țăran, Alexandra-Mădălina, 2023. "Which risks drive European natural gas bubbles? Novel evidence from geopolitics and climate," Resources Policy, Elsevier, vol. 81(C).
    17. Potrykus, Marcin, 2022. "Diamond investments – Is the market free from multiple price bubbles?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    18. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Mokni, Khaled, 2021. "Detection of bubbles in WTI, brent, and Dubai oil prices: A novel double recursive algorithm," Resources Policy, Elsevier, vol. 70(C).
    19. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    20. Potrykus, Marcin, 2023. "Price bubbles in commodity market – A single time series and panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 110-117.
    21. Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022. "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, vol. 259(C).
    22. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    23. Ziwei Yan & Chunying Cui, 2022. "How Natural Gas Infrastructure Affects Carbon Emission Indicators in Guangdong Province?," Sustainability, MDPI, vol. 14(13), pages 1-26, July.
    24. Yousaf, Imran & Nekhili, Ramzi & Umar, Muhammad, 2022. "Extreme connectedness between renewable energy tokens and fossil fuel markets," Energy Economics, Elsevier, vol. 114(C).
    25. Khan, Khalid & Su, Chi-Wei & Rehman, Ashfaq U., 2021. "Do multiple bubbles exist in coal price?," Resources Policy, Elsevier, vol. 73(C).
    26. Yan Li & Yigang Wei & Xueqing Wang & Hanxiao Xu, 2021. "Substantial Nitrogen Oxide Pollution Is Embodied in the Bilateral Trade between China and the European Union," IJERPH, MDPI, vol. 18(2), pages 1-16, January.
    27. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    28. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
    29. Majd Olleik & Hassan Hamie & Hans Auer, 2022. "Using Natural Gas Resources to De-Risk Renewable Energy Investments in Lower-Income Countries," Energies, MDPI, vol. 15(5), pages 1-22, February.

  27. Wang, Jiqian & Huang, Yisu & Ma, Feng & Chevallier, Julien, 2020. "Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? New evidence," Energy Economics, Elsevier, vol. 91(C).

    Cited by:

    1. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    3. Ding, Hui & Huang, Yisu & Wang, Jiqian, 2023. "Have the predictability of oil changed during the COVID-19 pandemic: Evidence from international stock markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    5. Jiqian Wang & Rangan Gupta & Oğuzhan Çepni & Feng Ma, 2023. "Forecasting international REITs volatility: the role of oil-price uncertainty," The European Journal of Finance, Taylor & Francis Journals, vol. 29(14), pages 1579-1597, September.
    6. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    7. O-Chia Chuang & Chenxu Yang, 2022. "Identifying the Determinants of Crude Oil Market Volatility by the Multivariate GARCH-MIDAS Model," Energies, MDPI, vol. 15(8), pages 1-14, April.
    8. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 397-419.
    9. Monika Roman & Aleksandra Górecka & Joanna Domagała, 2020. "The Linkages between Crude Oil and Food Prices," Energies, MDPI, vol. 13(24), pages 1-18, December.
    10. Si Mohammed, Kamel & Tedeschi, Marco & Mallek, Sabrine & Tarczyńska-Łuniewska, Małgorzata & Zhang, Anqi, 2023. "Realized semi variance quantile connectedness between oil prices and stock market: Spillover from Russian-Ukraine clash," Resources Policy, Elsevier, vol. 85(PA).
    11. Ghani, Usman & Zhu, Bo & Ghani, Maria & Khan, Nasir & khan, Raja Danish Akbar, 2023. "Role of oil shocks in US stock market volatility: A new insight from GARCH-MIDAS perspective," Resources Policy, Elsevier, vol. 85(PB).
    12. Kuang, Wei, 2022. "The economic value of high-frequency data in equity-oil hedge," Energy, Elsevier, vol. 239(PA).
    13. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
    14. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    15. Guo, Yangli & He, Feng & Liang, Chao & Ma, Feng, 2022. "Oil price volatility predictability: New evidence from a scaled PCA approach," Energy Economics, Elsevier, vol. 105(C).
    16. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023. "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, vol. 117(C).
    17. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
    18. Chen, Zhonglu & Liang, Chao & Umar, Muhammad, 2021. "Is investor sentiment stronger than VIX and uncertainty indices in predicting energy volatility?," Resources Policy, Elsevier, vol. 74(C).

  28. Nguyen, Quynh Nga & Aboura, Sofiane & Chevallier, Julien & Zhang, Lyuyuan & Zhu, Bangzhu, 2020. "Local Gaussian correlations in financial and commodity markets," European Journal of Operational Research, Elsevier, vol. 285(1), pages 306-323.

    Cited by:

    1. Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
    2. Sleire, Anders D. & Støve, Bård & Otneim, Håkon & Berentsen, Geir Drage & Tjøstheim, Dag & Haugen, Sverre Hauso, 2022. "Portfolio allocation under asymmetric dependence in asset returns using local Gaussian correlations," Finance Research Letters, Elsevier, vol. 46(PB).
    3. Reinhold Heinlein & Gabriella D. Legrenzi & Scott M. R. Mahadeo, 2020. "Energy contagion in the COVID-19 crisis," Working Paper series 20-19, Rimini Centre for Economic Analysis.
    4. Heinlein, Reinhold & Legrenzi, Gabriella D. & Mahadeo, Scott M.R., 2021. "Crude oil and stock markets in the COVID-19 crisis: Evidence from oil exporters and importers," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 223-229.
    5. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
    6. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    7. Georgios Bampinas & Theodore Panagiotidis, 2024. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," Working Paper series 24-01, Rimini Centre for Economic Analysis.
    8. Chatziantoniou, Ioannis & Filippidis, Michail & Filis, George & Gabauer, David, 2021. "A closer look into the global determinants of oil price volatility," Energy Economics, Elsevier, vol. 95(C).
    9. Adams, Zeno & Collot, Solène & Kartsakli, Maria, 2020. "Have commodities become a financial asset? Evidence from ten years of Financialization," Energy Economics, Elsevier, vol. 89(C).
    10. Lei Ming & Yao Shen & Shenggang Yang & Minyi Dong, 2022. "Contagion or flight‐to‐quality? The linkage between oil price and the US dollar based on the local Gaussian approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 722-750, April.
    11. Cheuathonghua, Massaporn & de Boyrie, Maria E. & Pavlova, Ivelina & Wongkantarakorn, Jutamas, 2022. "Extreme risk spillovers from commodity indexes to sovereign CDS spreads of commodity dependent countries: A VAR quantile analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).

  29. Julien Chevallier, 2020. "COVID-19 Pandemic and Financial Contagion," JRFM, MDPI, vol. 13(12), pages 1-25, December.
    See citations under working paper version above.
  30. Bangzhu Zhu & Runzhi Pang & Julien Chevallier & Yi-Ming Wei & Dinh-Tri Vo, 2019. "Including intangible costs into the cost-of-illness approach: a method refinement illustrated based on the PM2.5 economic burden in China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 501-511, June.
    See citations under working paper version above.
  31. Chevallier, Julien & Khuong Nguyen, Duc & Carlos Reboredo, Juan, 2019. "A conditional dependence approach to CO2-energy price relationships," Energy Economics, Elsevier, vol. 81(C), pages 812-821.

    Cited by:

    1. Lovcha, Yuliya & Pérez Laborda, Àlex & Sikora, Iryna, 2019. "The Determinants of CO2 prices in the EU ETS System," Working Papers 2072/376031, Universitat Rovira i Virgili, Department of Economics.
    2. Pilar Gargallo & Luis Lample & Jesús A. Miguel & Manuel Salvador, 2021. "Co-Movements between Eu Ets and the Energy Markets: A Var-Dcc-Garch Approach," Mathematics, MDPI, vol. 9(15), pages 1-36, July.
    3. Lovcha, Yuliya & Perez-Laborda, Alejandro & Sikora, Iryna, 2022. "The determinants of CO2 prices in the EU emission trading system," Applied Energy, Elsevier, vol. 305(C).
    4. Guo, Li-Yang & Feng, Chao & Yang, Jun, 2022. "Can energy predict the regional prices of carbon emission allowances in China?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    6. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
    7. Saeed, Asif & Chaudhry, Sajid M. & Arif, Ahmed & Ahmed, Rizwan, 2023. "Spillover of energy commodities and inflation in G7 plus Chinese economies," Energy Economics, Elsevier, vol. 127(PA).
    8. Andr s Oviedo-G mez & Sandra Milena Londo o-Hern ndez & Diego Fernando Manotas-Duque, 2023. "Directional Spillover of Fossil Fuels Prices on a Hydrothermal Power Generation Market," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 85-90, January.
    9. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Noman, Ambreen, 2021. "The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the U.S. economic policy uncertainty," Resources Policy, Elsevier, vol. 74(C).
    10. Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023. "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Energy Economics, Elsevier, vol. 117(C).
    11. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among carbon, traditional/new energy and material markets of China in pre- and post-COVID-19 outbreak periods," Energy, Elsevier, vol. 246(C).
    12. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    13. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    14. Fan, Shengyue & Zha, Shuai & Zhao, Chenxi & Sizheng, Fangyuan & Li, Meihui, 2022. "Using energy vulnerability to measure distributive injustice in rural heating energy reform: A case study of natural gas replacing bulk coal for heating in Gaocheng District, Hebei Province, China," Ecological Economics, Elsevier, vol. 197(C).
    15. Yeonjeong Lee & Seong-Min Yoon, 2020. "Dynamic Spillover and Hedging among Carbon, Biofuel and Oil," Energies, MDPI, vol. 13(17), pages 1-19, August.
    16. Berrisch, Jonathan & Pappert, Sven & Ziel, Florian & Arsova, Antonia, 2023. "Modeling volatility and dependence of European carbon and energy prices," Finance Research Letters, Elsevier, vol. 52(C).
    17. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    18. Dai, Xingyu & Wang, Qunwei & Zha, Donglan & Zhou, Dequn, 2020. "Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach," Energy Economics, Elsevier, vol. 88(C).
    19. Jonathan Berrisch & Sven Pappert & Florian Ziel & Antonia Arsova, 2022. "Modeling Volatility and Dependence of European Carbon and Energy Prices," Papers 2208.14311, arXiv.org, revised Feb 2023.
    20. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    21. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    22. Dorota Ciesielska-Maciągowska & Dawid Klimczak & Małgorzata Skrzek-Lubasińska, 2021. "Central and Eastern European CO 2 Market—Challenges of Emissions Trading for Energy Companies," Energies, MDPI, vol. 14(4), pages 1-14, February.
    23. Dou, Yue & Li, Yiying & Dong, Kangyin & Ren, Xiaohang, 2022. "Dynamic linkages between economic policy uncertainty and the carbon futures market: Does Covid-19 pandemic matter?," Resources Policy, Elsevier, vol. 75(C).
    24. Feng Liu & Yu Fu & Weiguo Wang, 2023. "Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method," Sustainability, MDPI, vol. 16(1), pages 1-20, December.

  32. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.

    Cited by:

    1. Longyu Shi & Fengmei Yang & Lijie Gao, 2020. "The Allocation of Carbon Intensity Reduction Target by 2030 among Cities in China," Energies, MDPI, vol. 13(22), pages 1-14, November.
    2. Gao, Mingyun & Yang, Honglin & Xiao, Qinzi & Goh, Mark, 2022. "A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector," Renewable Energy, Elsevier, vol. 181(C), pages 803-819.
    3. Pan, Xiongfeng & Xu, Haitao & Feng, Shenghan, 2022. "The economic and environment impacts of energy intensity target constraint: Evidence from low carbon pilot cities in China," Energy, Elsevier, vol. 261(PA).
    4. Keke Wang & Dongxiao Niu & Min Yu & Yi Liang & Xiaolong Yang & Jing Wu & Xiaomin Xu, 2021. "Analysis and Countermeasures of China’s Green Electric Power Development," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    5. Wang, Bingqing & Li, Yongping & Huang, Guohe & Gao, Pangpang & Liu, Jing & Wen, Yizhuo, 2023. "Development of an integrated BLSVM-MFA method for analyzing renewable power-generation potential under climate change: A case study of Xiamen," Applied Energy, Elsevier, vol. 337(C).
    6. Chen, Ying & Koch, Thorsten & Zakiyeva, Nazgul & Zhu, Bangzhu, 2020. "Modeling and forecasting the dynamics of the natural gas transmission network in Germany with the demand and supply balance constraint," Applied Energy, Elsevier, vol. 278(C).
    7. Sun, Wei & Zhang, Junjian, 2022. "A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction," Energy, Elsevier, vol. 253(C).
    8. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    9. Choi, Yosoon & Nguyen, Hoang & Bui, Xuan-Nam & Nguyen-Thoi, Trung, 2022. "Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods," Resources Policy, Elsevier, vol. 75(C).
    10. Niu, Dongxiao & Ji, Zhengsen & Li, Wanying & Xu, Xiaomin & Liu, Da, 2021. "Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization," Energy, Elsevier, vol. 234(C).
    11. Zhou, Yanting & Wang, Yanan & Wang, Kai & Kang, Le & Peng, Fei & Wang, Licheng & Pang, Jinbo, 2020. "Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors," Applied Energy, Elsevier, vol. 260(C).
    12. Hui Huang & Xiaoli Yan & Shizhong Song & Yingying Du & Yanlei Guo, 2020. "An Economic and Technology Analysis of a New High-Efficiency Biomass Cogeneration System: A Case Study in DC County, China," Energies, MDPI, vol. 13(15), pages 1-21, August.
    13. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    14. Song, Chao & Wang, Tao & Chen, Xiaohong & Shao, Quanxi & Zhang, Xianqi, 2023. "Ensemble framework for daily carbon dioxide emissions forecasting based on the signal decomposition–reconstruction model," Applied Energy, Elsevier, vol. 345(C).

  33. Bedoui, Rihab & Braiek, Sana & Guesmi, Khaled & Chevallier, Julien, 2019. "On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model," Energy Economics, Elsevier, vol. 80(C), pages 876-889.

    Cited by:

    1. Zhang, Pinyi & Ci, Bicong, 2020. "Deep belief network for gold price forecasting," Resources Policy, Elsevier, vol. 69(C).
    2. Ding, Qian & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2022. "Does political risk matter for gold market fluctuations? A structural VAR analysis," Research in International Business and Finance, Elsevier, vol. 60(C).
    3. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    4. Yu-Hui Liao & Yeong-Jia Goo, 2019. "Do Higher Asymmetry Threshold Effects Exist on the Gold Return Volatility during Highly Fluctuating Periods?," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    5. Nigar Huseynli, 2023. "Analyzing the Relationship between Oil Prices and Gold Prices before and after COVID-19," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 373-378, March.
    6. Gharib, Cheima & Mefteh-Wali, Salma & Jabeur, Sami Ben, 2021. "The bubble contagion effect of COVID-19 outbreak: Evidence from crude oil and gold markets," Finance Research Letters, Elsevier, vol. 38(C).
    7. Mustafa Kocoglu & Phouphet Kyophilavong & Ashar Awan & So Young Lim, 2023. "Time-varying causality between oil price and exchange rate in five ASEAN economies," Economic Change and Restructuring, Springer, vol. 56(2), pages 1007-1031, April.
    8. Zeng, Sheng & Liu, Xinchun & Li, Xiafei & Wei, Qi & Shang, Yue, 2019. "Information dominance among hedging assets: Evidence from return and volatility directional spillovers in time and frequency domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    9. Bedoui, Rihab & Benkraiem, Ramzi & Guesmi, Khaled & Kedidi, Islem, 2023. "Portfolio optimization through hybrid deep learning and genetic algorithms vine Copula-GARCH-EVT-CVaR model," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    10. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    11. Khan, Muhammad Asif & Khan, Farhad & Sharif, Arshian & Suleman, Muhammad Tahir, 2023. "Dynamic linkages between Islamic equity indices, oil prices, gold prices, and news-based uncertainty: New insights from partial and multiple wavelet coherence," Resources Policy, Elsevier, vol. 80(C).
    12. Srivastava, Mrinalini & Rao, Amar & Parihar, Jaya Singh & Chavriya, Shubham & Singh, Surendar, 2023. "What do the AI methods tell us about predicting price volatility of key natural resources: Evidence from hyperparameter tuning," Resources Policy, Elsevier, vol. 80(C).
    13. Chkir, Imed & Guesmi, Khaled & Brayek, Angham Ben & Naoui, Kamel, 2020. "Modelling the nonlinear relationship between oil prices, stock markets, and exchange rates in oil-exporting and oil-importing countries," Research in International Business and Finance, Elsevier, vol. 54(C).
    14. Hemei Li & Zhenya Liu & Shixuan Wang, 2022. "Vines climbing higher: Risk management for commodity futures markets using a regular vine copula approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2438-2457, April.
    15. Kim, Jong-Min & Kim, Dong H. & Jung, Hojin, 2021. "Estimating yield spreads volatility using GARCH-type models," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    16. Ying-Sing Liu, 2021. "The Impact of Trading Information Sets on Exchange Rate Change and Volatility: Evidence From Taiwan," SAGE Open, , vol. 11(4), pages 21582440211, November.
    17. Le, Trung Hai & Do, Hung Xuan & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Covid-19 pandemic and tail-dependency networks of financial assets," Finance Research Letters, Elsevier, vol. 38(C).
    18. Li, Zijian & Meng, Qiaoyu, 2022. "Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    19. Dai, Xingyu & Wang, Qunwei & Zha, Donglan & Zhou, Dequn, 2020. "Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach," Energy Economics, Elsevier, vol. 88(C).
    20. Wen, Danyan & Liu, Li & Ma, Chaoqun & Wang, Yudong, 2020. "Extreme risk spillovers between crude oil prices and the U.S. exchange rate: Evidence from oil-exporting and oil-importing countries," Energy, Elsevier, vol. 212(C).
    21. Salisu, Afees A. & Vo, Xuan Vinh & Lawal, Adedoyin, 2021. "Hedging oil price risk with gold during COVID-19 pandemic," Resources Policy, Elsevier, vol. 70(C).
    22. Qian Wang & Yu Wei & Yifeng Zhang & Yuntong Liu, 2023. "Evaluating the Safe-Haven Abilities of Bitcoin and Gold for Crude Oil Market: Evidence During the COVID-19 Pandemic," Evaluation Review, , vol. 47(3), pages 391-432, June.

  34. Abid, Ilyes & Guesmi, Khaled & Goutte, Stéphane & Urom, Christian & Chevallier, Julien, 2019. "Commodities risk premia and regional integration in gas-exporting countries," Energy Economics, Elsevier, vol. 80(C), pages 267-276.
    See citations under working paper version above.
  35. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.

    Cited by:

    1. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    2. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    3. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    4. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    5. Elena Villar-Rubio & María-Dolores Huete-Morales & Federico Galán-Valdivieso, 2023. "Using EGARCH models to predict volatility in unconsolidated financial markets: the case of European carbon allowances," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(3), pages 500-509, September.
    6. Manrui Jiang & Lifen Jia & Zhensong Chen & Wei Chen, 2022. "The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm," Annals of Operations Research, Springer, vol. 309(2), pages 553-585, February.
    7. Amiri , Hossein & Najafi Nejad , Mahmood & Mousavi , Seyede Mohadese, 2021. "Estimation of Value at Risk (VaR) Based On Lévy-GARCH Models: Evidence from Tehran Stock Exchange," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 165-186, June.
    8. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    9. Yingchao Zou & Kaijian He, 2022. "Forecasting Crude Oil Risk Using a Multivariate Multiscale Convolutional Neural Network Model," Mathematics, MDPI, vol. 10(14), pages 1-11, July.

  36. Zhu, Bangzhu & Jiang, Minxing & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2018. "On the road to China's 2020 carbon intensity target from the perspective of “double control”," Energy Policy, Elsevier, vol. 119(C), pages 377-387.

    Cited by:

    1. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    2. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    3. Wu, C.B. & Guan, P.B. & Zhong, L.N. & Lv, J. & Hu, X.F. & Huang, G.H. & Li, C.C., 2020. "An optimized low-carbon production planning model for power industry in coal-dependent regions - A case study of Shandong, China," Energy, Elsevier, vol. 192(C).
    4. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    5. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    6. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Yuan, Yongna & Duan, Hongbo & Tsvetanov, Tsvetan G., 2020. "Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment," Energy Economics, Elsevier, vol. 89(C).
    8. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    9. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    10. Jin, Zhida & Li, Zheng & Yang, Mian, 2022. "Producer services development and manufacturing carbon intensity: Evidence from an international perspective," Energy Policy, Elsevier, vol. 170(C).

  37. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Erratum to: Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 123-123, June.

    Cited by:

    1. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    2. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    3. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    4. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    5. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    6. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Kai Wu & E Bai & Hejie Zhu & Zhijiang Lu & Hongxin Zhu, 2023. "Can Green Credit Policy Promote the High-Quality Development of China’s Heavily-Polluting Enterprises?," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    8. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    9. Bashir Muhammad & Sher Khan, 2021. "Understanding the relationship between natural resources, renewable energy consumption, economic factors, globalization and CO2 emissions in developed and developing countries," Natural Resources Forum, Blackwell Publishing, vol. 45(2), pages 138-156, May.

  38. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei & Rui Xie, 2018. "Enriching the VaR framework to EEMD with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 315-328, July.

    Cited by:

    1. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
    2. Md. Samsul Alam & Sajid Ali & Naceur Khraief & Syed Jawad Hussain Shahzad, 2021. "Time‐varying causal nexuses between economic growth and CO2 emissions in G‐7 countries: A bootstrap rolling window approach over 1820–2015," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6128-6148, October.
    3. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    4. Su, Hui & Zhou, Na & Wu, Qiaosheng & Bi, Zhiwei & Wang, Yuli, 2023. "Investigating price fluctuations in copper futures: Based on EEMD and Markov-switching VAR model," Resources Policy, Elsevier, vol. 82(C).

  39. Aboura, Sofiane & Chevallier, Julien, 2018. "Tail risk and the return-volatility relation," Research in International Business and Finance, Elsevier, vol. 46(C), pages 16-29.

    Cited by:

    1. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).

  40. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.

    Cited by:

    1. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    2. Xi Chen & Yingying Zhen & Zhanming Chen, 2023. "Household Carbon Footprint Characteristics and Driving Factors: A Global Comparison Based on a Dynamic Input–Output Model," Energies, MDPI, vol. 16(9), pages 1-18, May.
    3. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    4. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    5. Jiekun Song & Lina Jiang & Zeguo He & Zhicheng Liu & Xueli Leng, 2022. "Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network," IJERPH, MDPI, vol. 19(15), pages 1-28, July.

  41. Jiang, Minxing & Zhu, Bangzhu & Wei, Yi-Ming & Chevallier, Julien & He, Kaijian, 2018. "An intertemporal carbon emissions trading system with cap adjustment and path control," Energy Policy, Elsevier, vol. 122(C), pages 152-161.

    Cited by:

    1. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    2. Kangkang Zhang & Deyi Xu & Shiran Li & Na Zhou & Jinhui Xiong, 2019. "Has China’s Pilot Emissions Trading Scheme Influenced the Carbon Intensity of Output?," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    3. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    4. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    5. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.
    6. Wen Jiang & Wenfei Lu & Qianwen Xu, 2019. "Profit Distribution Model for Construction Supply Chain with Cap-and-Trade Policy," Sustainability, MDPI, vol. 11(4), pages 1-24, February.

  42. Chevallier, Julien & Nguyen, Duc Khuong & Siverskog, Jonathan & Uddin, Gazi Salah, 2018. "Market integration and financial linkages among stock markets in Pacific Basin countries," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 77-92.
    See citations under working paper version above.
  43. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.

    Cited by:

    1. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    2. Di Li & Qianbin Di & Hailin Mu & Zenglin Han & Hongye Wang & Ye Duan, 2022. "Research on the Impact of Output Adjustment Strategy and Carbon Trading Policy on the Response, Stability and Complexity of Steel Market under the Dynamic Game," Sustainability, MDPI, vol. 14(19), pages 1-40, September.
    3. Yu, Anyu & Lee, Andy & Chen, Yao, 2021. "Carbon allocation targeting with abatement capability: A firm-level study," International Journal of Production Economics, Elsevier, vol. 235(C).
    4. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    5. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    6. Xu, Bin & Lin, Boqiang, 2021. "Investigating spatial variability of CO2 emissions in heavy industry: Evidence from a geographically weighted regression model," Energy Policy, Elsevier, vol. 149(C).
    7. Dalai Ma & Yaping Xiao & Na Zhao, 2022. "Optimization and Spatiotemporal Differentiation of Carbon Emission Rights Allocation in the Power Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    8. Xu, Bin & Chen, Jianbao, 2021. "How to achieve a low-carbon transition in the heavy industry? A nonlinear perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    9. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.

  44. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.

    Cited by:

    1. Zhao, Lili & Wen, Fenghua, 2022. "Risk-return relationship and structural breaks: Evidence from China carbon market," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 481-492.
    2. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    3. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    4. Chen, Zhongfei & Zhang, Xiao & Chen, Fanglin, 2021. "Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Chang, Kai & Ye, Zhifang & Wang, Weihong, 2019. "Volatility spillover effect and dynamic correlation between regional emissions allowances and fossil energy markets: New evidence from China’s emissions trading scheme pilots," Energy, Elsevier, vol. 185(C), pages 1314-1324.
    6. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    7. Ying, Zhou & Xin-gang, Zhao, 2021. "The impact of Renewable Portfolio Standards on carbon emission trading under the background of China’s electricity marketization reform," Energy, Elsevier, vol. 226(C).
    8. Yi Yao & Lixin Tian & Guangxi Cao, 2022. "The Information Spillover among the Carbon Market, Energy Market, and Stock Market: A Case Study of China’s Pilot Carbon Markets," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    9. Guo, Wen & Liu, Xiaorui, 2022. "Market fragmentation of energy resource prices and green total factor energy efficiency in China," Resources Policy, Elsevier, vol. 76(C).
    10. Song, Xiang & Wang, Dingyu & Zhang, Xuantao & He, Yuan & Wang, Yong, 2022. "A comparison of the operation of China's carbon trading market and energy market and their spillover effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    11. Jin, Chenfei & Tsai, Fu-Sheng & Gu, Qiuyang & Wu, Bao, 2022. "Does the porter hypothesis work well in the emission trading schema pilot? Exploring moderating effects of institutional settings," Research in International Business and Finance, Elsevier, vol. 62(C).
    12. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    13. Wu, Ruirui & Qin, Zhongfeng & Liu, Bing-Yue, 2022. "A systemic analysis of dynamic frequency spillovers among carbon emissions trading (CET), fossil energy and sectoral stock markets: Evidence from China," Energy, Elsevier, vol. 254(PA).
    14. Song, Yazhi & Liu, Tiansen & Li, Yin & Zhu, Yue & Ye, Bin, 2022. "Paths and policy adjustments for improving carbon-market liquidity in China," Energy Economics, Elsevier, vol. 115(C).
    15. Miaomiao Tao & Pierre Failler & Lim Thye Goh & Wee Yeap Lau & Hanghang Dong & Liang Xie, 2022. "Quantify the Effect of China’s Emission Trading Scheme on Low-carbon Eco-efficiency: Evidence from China’s 283 Cities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-33, August.
    16. Du, Gang & Yu, Meng & Sun, Chuanwang & Han, Zhao, 2021. "Green innovation effect of emission trading policy on pilot areas and neighboring areas: An analysis based on the spatial econometric model," Energy Policy, Elsevier, vol. 156(C).
    17. Weng, Zhixiong & Liu, Tingting & Wu, Yufeng & Cheng, Cuiyun, 2022. "Air quality improvement effect and future contributions of carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 170(C).
    18. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "An analysis of investor behaviour and information flows surrounding the negative WTI oil price futures event," Energy Economics, Elsevier, vol. 104(C).
    19. Li, Zheng-Zheng & Li, Yameng & Huang, Chia-Yun & Peculea, Adelina Dumitrescu, 2023. "Volatility spillover across Chinese carbon markets: Evidence from quantile connectedness method," Energy Economics, Elsevier, vol. 119(C).
    20. Jakub Kubiczek & Marcin Tuszkiewicz, 2022. "Intraday Patterns of Liquidity on the Warsaw Stock Exchange before and after the Outbreak of the COVID-19 Pandemic," IJFS, MDPI, vol. 10(1), pages 1-16, February.

  45. Jiang, Minxing & Zhu, Bangzhu & Chevallier, Julien & Xie, Rui, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), July.
    See citations under working paper version above.
  46. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 105-121, June.

    Cited by:

    1. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    2. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    3. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    4. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    5. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    6. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Kai Wu & E Bai & Hejie Zhu & Zhijiang Lu & Hongxin Zhu, 2023. "Can Green Credit Policy Promote the High-Quality Development of China’s Heavily-Polluting Enterprises?," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    8. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    9. Bashir Muhammad & Sher Khan, 2021. "Understanding the relationship between natural resources, renewable energy consumption, economic factors, globalization and CO2 emissions in developed and developing countries," Natural Resources Forum, Blackwell Publishing, vol. 45(2), pages 138-156, May.

  47. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
    3. Jing Deng & Yujie Zheng & Yun Zhang & Cheng Liu & Huanxue Pan, 2023. "Dynamic Spillovers between Carbon Price and Power Sector Returns in China: A Network-Based Analysis before and after Launching National Carbon Emissions Trading Market," Energies, MDPI, vol. 16(14), pages 1-27, July.
    4. Dmitriy O. Afanasyev & Elena A. Fedorova & Evgeniy V. Gilenko, 2021. "The fundamental drivers of electricity price: a multi-scale adaptive regression analysis," Empirical Economics, Springer, vol. 60(4), pages 1913-1938, April.
    5. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    6. Gilmore, J. & Nolan, T. & Simshauser, P., 2022. "The Levelised Cost of Frequency Control Ancillary Services in Australia’s National Electricity Market," Cambridge Working Papers in Economics 2203, Faculty of Economics, University of Cambridge.
    7. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    8. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    9. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    10. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    11. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    12. Li, Wei & Sun, Wen & Li, Guomin & Jin, Baihui & Wu, Wen & Cui, Pengfei & Zhao, Guohao, 2018. "Transmission mechanism between energy prices and carbon emissions using geographically weighted regression," Energy Policy, Elsevier, vol. 115(C), pages 434-442.
    13. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    14. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    15. Qing Peng & Fenghua Wen & Xu Gong, 2021. "Time‐dependent intrinsic correlation analysis of crude oil and the US dollar based on CEEMDAN," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 834-848, January.
    16. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    17. Xu, Yingying, 2021. "Risk spillover from energy market uncertainties to the Chinese carbon market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    18. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.

  48. Derek Bunn, Julien Chevallier, Yannick Le Pen, and Benoit Sevi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    See citations under working paper version above.
  49. Frédéric Branger, Philippe Quirion, Julien Chevallier, 2017. "Carbon Leakage and Competitiveness of Cement and Steel Industries Under the EU ETS: Much Ado About Nothing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    See citations under working paper version above.
  50. Julien Chevallier & Stéphane Goutte, 2017. "Cross-country performance of Lévy regime-switching models for stock markets," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 111-137, January.

    Cited by:

    1. Samuel Asante Gyamerah & Philip Ngare & Dennis Ikpe, 2018. "Regime-Switching Temperature Dynamics Model for Weather Derivatives," Papers 1808.04710, arXiv.org.
    2. Asante Gyamerah, Samuel & Ngare, Philip & Ikpe, Dennis, 2018. "A Levy Regime-Switching Temperature Dynamics Model for Weather Derivatives," MPRA Paper 89680, University Library of Munich, Germany, revised 10 Jul 2018.

  51. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.

    Cited by:

    1. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
    2. Charles Shaw, 2022. "Portfolio Diversification Revisited," Papers 2204.13398, arXiv.org.

  52. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.

    Cited by:

    1. Fumin Deng & Yanan Jin & Meng Ye & Shuangyi Zheng, 2019. "New Fixed Assets Investment Project Environmental Performance and Influencing Factors—An Empirical Analysis in China’s Optics Valley," IJERPH, MDPI, vol. 16(24), pages 1-21, December.
    2. Marina Marena & Andrea Romeo & Patrizia Semeraro, 2022. "Non-maturing deposits modelling in a Ornstein-Uhlenbeck framework," Papers 2209.13314, arXiv.org.
    3. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    4. Samuel Asante Gyamerah & Philip Ngare & Dennis Ikpe, 2018. "Regime-Switching Temperature Dynamics Model for Weather Derivatives," Papers 1808.04710, arXiv.org.
    5. Asante Gyamerah, Samuel & Ngare, Philip & Ikpe, Dennis, 2018. "A Levy Regime-Switching Temperature Dynamics Model for Weather Derivatives," MPRA Paper 89680, University Library of Munich, Germany, revised 10 Jul 2018.
    6. Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).

  53. Aboura, Sofiane & Chevallier, Julien, 2017. "Oil vs. gasoline: The dark side of volatility and taxation," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 976-989.
    See citations under working paper version above.
  54. Chevallier, Julien, 2017. "Mean-field limit of generalized Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 127(12), pages 3870-3912.

    Cited by:

    1. Duval, Céline & Luçon, Eric & Pouzat, Christophe, 2022. "Interacting Hawkes processes with multiplicative inhibition," Stochastic Processes and their Applications, Elsevier, vol. 148(C), pages 180-226.
    2. Cormier, Quentin & Tanré, Etienne & Veltz, Romain, 2020. "Long time behavior of a mean-field model of interacting neurons," Stochastic Processes and their Applications, Elsevier, vol. 130(5), pages 2553-2595.
    3. Heesen, Sophie & Stannat, Wilhelm, 2021. "Fluctuation limits for mean-field interacting nonlinear Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 139(C), pages 280-297.
    4. Gao, Xuefeng & Zhu, Lingjiong, 2018. "Limit theorems for Markovian Hawkes processes with a large initial intensity," Stochastic Processes and their Applications, Elsevier, vol. 128(11), pages 3807-3839.
    5. Chevallier, J. & Duarte, A. & Löcherbach, E. & Ost, G., 2019. "Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels," Stochastic Processes and their Applications, Elsevier, vol. 129(1), pages 1-27.
    6. Agathe-Nerine, Zoé, 2022. "Multivariate Hawkes processes on inhomogeneous random graphs," Stochastic Processes and their Applications, Elsevier, vol. 152(C), pages 86-148.
    7. Antonov, A. & Leonidov, A. & Semenov, A., 2021. "Self-excited Ising game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    8. Xuefeng Gao & Lingjiong Zhu, 2018. "Functional central limit theorems for stationary Hawkes processes and application to infinite-server queues," Queueing Systems: Theory and Applications, Springer, vol. 90(1), pages 161-206, October.
    9. Li, Bo & Pang, Guodong, 2022. "Functional limit theorems for nonstationary marked Hawkes processes in the high intensity regime," Stochastic Processes and their Applications, Elsevier, vol. 143(C), pages 285-339.
    10. Gao, Fuqing & Zhu, Lingjiong, 2018. "Some asymptotic results for nonlinear Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 128(12), pages 4051-4077.
    11. Maxime Morariu-Patrichi & Mikko S. Pakkanen, 2017. "Hybrid marked point processes: characterisation, existence and uniqueness," Papers 1707.06970, arXiv.org, revised Oct 2018.
    12. Schmutz, Valentin, 2022. "Mean-field limit of age and leaky memory dependent Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 149(C), pages 39-59.
    13. Pfaffelhuber, P. & Rotter, S. & Stiefel, J., 2022. "Mean-field limits for non-linear Hawkes processes with excitation and inhibition," Stochastic Processes and their Applications, Elsevier, vol. 153(C), pages 57-78.

  55. Chevallier Julien & Goutte Stéphane, 2017. "On the estimation of regime-switching Lévy models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 3-29, February.

    Cited by:

    1. Torben Klarl, 2019. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Bremen Papers on Economics & Innovation 1902, University of Bremen, Faculty of Business Studies and Economics.
    2. Klarl, Torben, 2020. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Energy Economics, Elsevier, vol. 85(C).
    3. Krishnamurthy, Vikram & Leoff, Elisabeth & Sass, Jörn, 2018. "Filterbased stochastic volatility in continuous-time hidden Markov models," Econometrics and Statistics, Elsevier, vol. 6(C), pages 1-21.
    4. Shaw, Charles, 2018. "Regime-Switching And Levy Jump Dynamics In Option-Adjusted Spreads," MPRA Paper 94154, University Library of Munich, Germany, revised 27 May 2019.
    5. Nikita Ratanov, 2020. "Kac–Lévy Processes," Journal of Theoretical Probability, Springer, vol. 33(1), pages 239-267, March.
    6. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

  56. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.

    Cited by:

    1. Bahloul, Walid & Bouri, Abdelfettah, 2016. "The impact of investor sentiment on returns and conditional volatility in U.S. futures markets," Journal of Multinational Financial Management, Elsevier, vol. 36(C), pages 89-102.
    2. Baur, Dirk G. & Dimpfl, Thomas, 2018. "The asymmetric return-volatility relationship of commodity prices," Energy Economics, Elsevier, vol. 76(C), pages 378-387.
    3. Bahloul, Walid & Bouri, Abdelfettah, 2016. "Profitability of return and sentiment-based investment strategies in US futures markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 254-270.

  57. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.

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    1. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    2. Abid, Ilyes & Goutte, Stéphane & Guesmi, Khaled & Jamali, Ibrahim, 2019. "Transmission of shocks and contagion from U.S. to MENA equity markets: The role of oil and gas markets," Energy Policy, Elsevier, vol. 134(C).
    3. Naeem, Muhammad Abubakr & Balli, Faruk & Shahzad, Syed Jawad Hussain & de Bruin, Anne, 2020. "Energy commodity uncertainties and the systematic risk of US industries," Energy Economics, Elsevier, vol. 85(C).
    4. Stefano Di Bucchianico, 2020. "A note on financialization from a Classical-Keynesian standpoint," Department of Economics University of Siena 824, Department of Economics, University of Siena.
    5. Qingqing Hu & Tinghui Li & Xue Li & Hao Dong, 2021. "Dynamic Characteristics of Oil Attributes and Their Market Effects," Energies, MDPI, vol. 14(13), pages 1-22, June.
    6. Chen, Louisa & Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2023. "Financial stress and commodity price volatility," Energy Economics, Elsevier, vol. 125(C).
    7. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).
    8. Cifarelli, Giulio & Paesani, Paolo, 2018. "Navigating the oil bubble: A non-linear heterogeneous-agent dynamic model of futures oil pricing," MPRA Paper 90470, University Library of Munich, Germany.
    9. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    10. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    11. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    12. Belhassine, Olfa & Karamti, Chiraz, 2021. "Volatility spillovers and hedging effectiveness between oil and stock markets: Evidence from a wavelet-based and structural breaks analysis," Energy Economics, Elsevier, vol. 102(C).
    13. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    14. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    15. Selmi, Refk & Hammoudeh, Shawkat & Kasmaoui, Kamal & Sousa, Ricardo M. & Errami, Youssef, 2022. "The dual shocks of the COVID-19 and the oil price collapse: A spark or a setback for the circular economy?," Energy Economics, Elsevier, vol. 109(C).
    16. Wang, Xunxiao & Wang, Yudong, 2019. "Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective," Energy Economics, Elsevier, vol. 80(C), pages 995-1009.
    17. Kumar, Satish & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2019. "Correlations and volatility spillovers between oil, natural gas, and stock prices in India," Resources Policy, Elsevier, vol. 62(C), pages 282-291.
    18. Jean-François Carpantier, 2021. "Commodity Prices in Empirical Research," Dynamic Modeling and Econometrics in Economics and Finance, in: Gilles Dufrénot & Takashi Matsuki (ed.), Recent Econometric Techniques for Macroeconomic and Financial Data, pages 199-227, Springer.
    19. Walid Chkili, 2022. "The links between gold, oil prices and Islamic stock markets in a regime switching environment," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 169-186, March.
    20. Rashid Khan, Haroon Ur & Islam, Talat & Yousaf, Sheikh Usman & Zaman, Khalid & Shoukry, Alaa Mohamd & Sharkawy, Mohamed A. & Gani, Showkat & Aamir, Alamzeb & Hishan, Sanil S., 2019. "The impact of financial development indicators on natural resource markets: Evidence from two-step GMM estimator," Resources Policy, Elsevier, vol. 62(C), pages 240-255.
    21. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    22. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    23. Claudiu Albulescu & Michel Mina & Cornel Oros, 2021. "Oil-US Stock Market Nexus: Some insights about the New Coronavirus Crisis," Papers 2104.05273, arXiv.org.
    24. Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Energy commodities, precious metals and industrial metal markets: A nexus across different investment horizons and market conditions," Resources Policy, Elsevier, vol. 70(C).
    25. Ipsita Saishree & Puja Padhi, 2022. "Exploring the dynamics of the equity–commodity nexus: A study of base metal futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1573-1596, August.
    26. Bianchi, Robert J. & Fan, John Hua & Todorova, Neda, 2020. "Financialization and de-financialization of commodity futures: A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    27. F. Benedetto & L. Mastroeni & P. Vellucci, 2021. "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, vol. 299(1), pages 1235-1252, April.
    28. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    29. Sifat, Imtiaz & Ghafoor, Abdul & Ah Mand, Abdollah, 2021. "The COVID-19 pandemic and speculation in energy, precious metals, and agricultural futures," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    30. Nicoleta BARBUTA-MISU & Teodor HADA & Iulia Cristina IUGA & Dorin WAINBERG, 2023. "Do Methane Gas Prices Interact with Stock Indices?," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 90-100.
    31. Urom, Christian & Anochiwa, Lasbrey & Yuni, Denis & Idume, Gabriel, 2019. "Asymmetric linkages among precious metals, global equity and bond yields: The role of volatility and business cycle factors," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    32. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    33. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    34. Pavel Kotyza & Katarzyna Czech & Michał Wielechowski & Luboš Smutka & Petr Procházka, 2021. "Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    35. Qian, Lanping & Bai, Yang & Wang, Wenya & Meng, Fanyi & Chen, Zhisong, 2023. "Natural gas crisis, system resilience and emergency responses: A China case," Energy, Elsevier, vol. 276(C).
    36. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
    37. Mensi, Walid & Rehman, Mobeen Ur & Hammoudeh, Shawkat & Vo, Xuan Vinh, 2021. "Spillovers between natural gas, gasoline, oil, and stock markets: Evidence from MENA countries," Resources Policy, Elsevier, vol. 71(C).
    38. Zhang, Yue-Jun & Yan, Xing-Xing, 2020. "The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 750-768.
    39. Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
    40. Yanqiong Liu & Zhenghui Li & Yanyan Yao & Hao Dong, 2021. "Asymmetry of Risk Evolution in Crude Oil Market: From the Perspective of Dual Attributes of Oil," Energies, MDPI, vol. 14(13), pages 1-22, July.
    41. Huang, Kuan-Ming & Etienne, Xiaoli, 2021. "Do natural hazards in the Gulf Coast still matter for state-level natural gas prices in the US? Evidence after the shale gas boom," Energy Economics, Elsevier, vol. 98(C).
    42. Chincarini, Ludwig B. & Moneta, Fabio, 2021. "The challenges of oil investing: Contango and the financialization of commodities," Energy Economics, Elsevier, vol. 102(C).
    43. Tetsuji Tanaka & Jin Guo, 2020. "International price volatility transmission and structural change: a market connectivity analysis in the beef sector," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    44. Shen, Yifan & Shi, Xunpeng & Variam, Hari Malamakkavu Padinjare, 2018. "Risk transmission mechanism between energy markets: A VAR for VaR approach," Energy Economics, Elsevier, vol. 75(C), pages 377-388.
    45. Zhang, Yue-Jun & Ma, Shu-Jiao, 2019. "How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective," Energy Economics, Elsevier, vol. 84(C).
    46. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
    47. Chatziantoniou, Ioannis & Filippidis, Michail & Filis, George & Gabauer, David, 2021. "A closer look into the global determinants of oil price volatility," Energy Economics, Elsevier, vol. 95(C).
    48. Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019. "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, vol. 80(C), pages 707-719.
    49. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    50. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    51. Adams, Zeno & Collot, Solène & Kartsakli, Maria, 2020. "Have commodities become a financial asset? Evidence from ten years of Financialization," Energy Economics, Elsevier, vol. 89(C).
    52. Oleksandr Castello & Marina Resta, 2023. "A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling," Energies, MDPI, vol. 16(12), pages 1-22, June.
    53. Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2021. "Commodity financialisation and price co-movement: Lessons from two centuries of evidence," Finance Research Letters, Elsevier, vol. 38(C).
    54. Pierluigi Vellucci, 2021. "A critique of financial neoliberalism: a perspective combining multidisciplinary methods and commodity markets," SN Business & Economics, Springer, vol. 1(3), pages 1-11, March.
    55. Anna Grosman & Gerhard Schnyder & Alvaro Cuervo-Cazurra & Ilya Okhmatovskiy & Geoffrey T. Wood, 2023. "Rethinking State Capitalism: A Cross-Disciplinary Perspective on the State’s Role in the Economy," Annals of Corporate Governance, now publishers, vol. 7(4), pages 252-328, August.
    56. Qing Peng & Fenghua Wen & Xu Gong, 2021. "Time‐dependent intrinsic correlation analysis of crude oil and the US dollar based on CEEMDAN," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 834-848, January.
    57. Liu, Yan & Shi, Xunpeng & Laurenceson, James, 2020. "Dynamics of Australia's LNG export performance: A modified constant market shares analysis," Energy Economics, Elsevier, vol. 89(C).
    58. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).
    59. Yang, Kun & Wei, Yu & Li, Shouwei & Liu, Liang & Wang, Lei, 2021. "Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics," Energy Economics, Elsevier, vol. 96(C).
    60. Sharma, Aarzoo, 2022. "A comparative analysis of the financialization of commodities during COVID-19 and the global financial crisis using a quantile regression approach," Resources Policy, Elsevier, vol. 78(C).
    61. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
    62. Robert Socha & Piotr Wdowiński, 2018. "Crude oil price and speculative activity: a cointegration analysis," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 263-304, September.
    63. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2023. "Does market sentiment and global uncertainties influence ESG-oil nexus? A time-frequency analysis," Resources Policy, Elsevier, vol. 86(PA).
    64. Sheng Cheng & Wei Liu & Qisheng Jiang & Yan Cao, 2023. "Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1593-1616, April.
    65. Chkili, Walid & Ben Rejeb, Aymen & Arfaoui, Mongi, 2021. "Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold," Resources Policy, Elsevier, vol. 74(C).

  58. Aboura, Sofiane & Chevallier, Julien, 2016. "Spikes and crashes in the oil market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 615-623.
    See citations under working paper version above.
  59. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.

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    1. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    2. Najeh Bouchoucha, 2021. "The Effect of Environmental Degradation on Health Status: Do Institutions Matter?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1618-1634, December.
    3. Liu, Ximei & Latif, Zahid & Danish, & Latif, Shahid & Mahmood, Nasir, 2021. "The corruption-emissions nexus: Do information and communication technologies make a difference?," Utilities Policy, Elsevier, vol. 72(C).
    4. Chen, Wenhui & Lei, Yalin, 2018. "The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression," Renewable Energy, Elsevier, vol. 123(C), pages 1-14.
    5. Francesco Nicolli & Francesco Vona, 2019. "Energy market liberalization and renewable energy policies in OECD countries," Post-Print hal-02562707, HAL.
    6. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    7. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    8. Madhu Sehrawat & Sanjay Kumar Singh, 2021. "Do Corruption and Income Inequality Play Spoilsport in The Energy Efficiency-Growth Relationship in BRICS Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 727-746, December.
    9. Zheng, Yanting & Yang, Huidan & Huang, Jinyuan & Cui, Qi & Zhan, Jinyan, 2022. "Industrial agglomeration measured by plants’ distance and CO2 emissions: Evidence from 268 Chinese prefecture-level cities," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Ren, Yi-Shuai & Ma, Chao-Qun & Apergis, Nicholas & Sharp, Basil, 2021. "Responses of carbon emissions to corruption across Chinese provinces," Energy Economics, Elsevier, vol. 98(C).
    11. PU, Zhengning & YUE, Shujing & GAO, Peng, 2020. "The driving factors of China's embodied carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    12. Fredrick Oteng Agyeman & Ma Zhiqiang & Mingxing Li & Agyemang Kwasi Sampene & Malcom Frimpong Dapaah & Emmanuel Adu Gyamfi Kedjanyi & Paul Buabeng & Yiyao Li & Saifullah Hakro & Mohammad Heydari, 2022. "Probing the Effect of Governance of Tourism Development, Economic Growth, and Foreign Direct Investment on Carbon Dioxide Emissions in Africa: The African Experience," Energies, MDPI, vol. 15(13), pages 1-24, June.
    13. Hanif, Imran, 2017. "Economics-energy-environment nexus in Latin America and the Caribbean," Energy, Elsevier, vol. 141(C), pages 170-178.
    14. Chinazaekpere Nwani & Andrew Adewale Alola & Chimobi Philip Omoke & Bosede Ngozi Adeleye & Festus Victor Bekun, 2022. "Responding to the environmental effects of remittances and trade liberalization in net-importing economies: the role of renewable energy in Sub-Saharan Africa," Economic Change and Restructuring, Springer, vol. 55(4), pages 2631-2661, November.
    15. Sami Ben Jabeur & Asma Sghaier, 2018. "The relationship between energy, pollution, economic growth and corruption: A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach," Economics Bulletin, AccessEcon, vol. 38(4), pages 1927-1946.
    16. Yajie Liu & Feng Dong, 2020. "Corruption, Economic Development and Haze Pollution: Evidence from 139 Global Countries," Sustainability, MDPI, vol. 12(9), pages 1-22, April.
    17. Tiyas Kurnia Sari & Fitra Roman Cahaya & Corina Joseph, 2021. "Coercive Pressures and Anti-corruption Reporting: The Case of ASEAN Countries," Journal of Business Ethics, Springer, vol. 171(3), pages 495-511, July.
    18. Zhang, Wenwen & Chiu, Yi-Bin, 2020. "Do country risks influence carbon dioxide emissions? A non-linear perspective," Energy, Elsevier, vol. 206(C).
    19. Joseph Pozsgai-Alvarez & Iván Pastor Sanz, 2021. "Mapping the (anti-)corruption field: key topics and changing trends, 1968–2020," Journal of Computational Social Science, Springer, vol. 4(2), pages 851-881, November.
    20. Arminen, Heli & Menegaki, Angeliki N., 2019. "Corruption, climate and the energy-environment-growth nexus," Energy Economics, Elsevier, vol. 80(C), pages 621-634.
    21. Rashid Latief & Usman Sattar & Sohail Ahmad Javeed & Ammar Ali Gull & Yingshun Pei, 2022. "The Environmental Effects of Urbanization, Education, and Green Innovation in the Union for Mediterranean Countries: Evidence from Quantile Regression Model," Energies, MDPI, vol. 15(15), pages 1-17, July.
    22. Simplice A. Asongu & Raufhon Salahodjaev, 2022. "Do female parliamentarians improve environmental quality? Cross-country evidence," Working Papers 22/001, European Xtramile Centre of African Studies (EXCAS).
    23. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    24. Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023. "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers 23/002, European Xtramile Centre of African Studies (EXCAS).
    25. Nicolae Stef & Sami Ben Jabeur, 2020. "Climate Change Legislations and Environmental Degradation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 839-868, December.
    26. Danish, & Baloch, Muhammad Awais & Wang, Bo, 2019. "Analyzing the role of governance in CO2 emissions mitigation: The BRICS experience," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 119-125.
    27. Muhammad Sohail Amjad Makhdum & Muhammad Usman & Rakhshanda Kousar & Javier Cifuentes-Faura & Magdalena Radulescu & Daniel Balsalobre-Lorente, 2022. "How Do Institutional Quality, Natural Resources, Renewable Energy, and Financial Development Reduce Ecological Footprint without Hindering Economic Growth Trajectory? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    28. Alexandra-Anca Purcel, 2019. "Does Political Stability Hinder Pollution? Evidence From Developing States," Economic Research Guardian, Weissberg Publishing, vol. 9(2), pages 75-98, December.
    29. Muhammad Tariq Majeed & Maria Mazhar & Isma Samreen & Aisha Tauqir, 2022. "Economic complexities and environmental degradation: evidence from OECD countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5846-5866, April.
    30. Boying Li & Yu Hao & Chun-Ping Chang, 2018. "Does an anticorruption campaign deteriorate environmental quality? Evidence from China," Energy & Environment, , vol. 29(1), pages 67-94, February.
    31. Destek, Mehmet Akif & Aydın, Sercan & Destek, Gamze, 2022. "Investigating an optimal resource dependency to prevent natural resource curse: Evidence from countries with the curse risk," Resources Policy, Elsevier, vol. 79(C).
    32. Yu, Zhang & Khan, Syed Abdul Rehman & Ponce, Pablo & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose, 2022. "Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    33. Hussain, Jamal & Zhou, Kui & Muhammad, Faqir & Khan, Danish & Khan, Anwar & Ali, Najabat & Akhtar, Rizwan, 2021. "Renewable energy investment and governance in countries along the belt & Road Initiative: Does trade openness matter?," Renewable Energy, Elsevier, vol. 180(C), pages 1278-1289.
    34. Zhang, Mingming & Wong, Wing-Keung & Kim Oanh, Thai Thi & Muda, Iskandar & Islam, Saiful & Hishan, Sanil S. & Abduvaxitovna, Shamansurova Zilola, 2023. "Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations," Resources Policy, Elsevier, vol. 85(PA).
    35. Lan Khanh Chu, 2022. "The impact of informal economy on technological innovation–ecological footprint nexus in OECD countries: new evidence from panel quantile regression," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 12(3), pages 515-533, September.
    36. Tao, Miaomiao & Dagestani, Abd Alwahed & Goh, Lim Thye & Zheng, Yuhang & Le, Wen, 2023. "Do China's anti-corruption efforts improve corporate productivity? A difference-in-difference exploration of Chinese listed enterprises," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    37. Shi Wang & Yizhou Yuan & Hua Wang, 2019. "Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    38. Bakry, Walid & Mallik, Girijasankar & Nghiem, Xuan-Hoa & Sinha, Avik & Vo, Xuan Vinh, 2023. "Is green finance really “green”? Examining the long-run relationship between green finance, renewable energy and environmental performance in developing countries," Renewable Energy, Elsevier, vol. 208(C), pages 341-355.
    39. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    40. Sekrafi Habib & Snoussi Abdelmonen & Mili Khaled, 2020. "The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 788-804, June.
    41. João Leitão & João Capucho, 2021. "Institutional, Economic, and Socio-Economic Determinants of the Entrepreneurial Activity of Nations," Administrative Sciences, MDPI, vol. 11(1), pages 1-32, March.
    42. Güney, Taner, 2022. "Solar energy, governance and CO2 emissions," Renewable Energy, Elsevier, vol. 184(C), pages 791-798.
    43. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.
    44. Li, Rongrong & Wang, Qiang & Li, Lejia & Hu, Sailan, 2023. "Do natural resource rent and corruption governance reshape the environmental Kuznets curve for ecological footprint? Evidence from 158 countries," Resources Policy, Elsevier, vol. 85(PB).
    45. Fhima, Fredj & Nouira, Ridha & Sekkat, Khalid, 2023. "How does corruption affect sustainable development? A threshold non-linear analysis," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 505-523.
    46. Kassouri, Yacouba & Altuntaş, Mehmet & Alola, Andrew Adewale, 2022. "The contributory capacity of natural capital to energy transition in the European Union," Renewable Energy, Elsevier, vol. 190(C), pages 617-629.
    47. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
    48. Rahman, Mohammad Mafizur & Alam, Khosrul, 2022. "Effects of corruption, technological innovation, globalisation, and renewable energy on carbon emissions in Asian countries," Utilities Policy, Elsevier, vol. 79(C).

  60. Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi‐Ming Wei, 2016. "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(7), pages 633-651, November.
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  61. Julien Chevallier & St�phane Goutte, 2015. "Detecting jumps and regime switches in international stock markets returns," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1011-1019, September.
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  62. Zhu, Bangzhu & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Ecological Economics, Elsevier, vol. 119(C), pages 209-216.
    See citations under working paper version above.
  63. Aboura, Sofiane & Chevallier, Julien, 2015. "Volatility returns with vengeance: Financial markets vs. commodities," Research in International Business and Finance, Elsevier, vol. 33(C), pages 334-354.
    See citations under working paper version above.
  64. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2015. "Carbon Price Analysis Using Empirical Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 195-206, February.
    See citations under working paper version above.
  65. Aboura, Sofiane & Chevallier, Julien, 2015. "A cross-volatility index for hedging the country risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 25-41.
    See citations under working paper version above.
  66. Julien Chevallier, 2015. "Forecasting the density of returns in crude oil futures markets," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(4/5/6), pages 201-231.

    Cited by:

    1. Feng Ma & Yu Wei & Wang Chen & Feng He, 2018. "Forecasting the volatility of crude oil futures using high-frequency data: further evidence," Empirical Economics, Springer, vol. 55(2), pages 653-678, September.

  67. Aboura, Sofiane & Chevallier, Julien, 2015. "Cross-market volatility index with Factor-DCC," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 132-140.
    See citations under working paper version above.
  68. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.

    Cited by:

    1. Mengrui Zhu & Hua Xu & Xingyu Gao & Minggang Wang & André L. M. Vilela & Lixin Tian, 2022. "Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network," Energies, MDPI, vol. 15(15), pages 1-18, July.
    2. Zhao, Lili & Wen, Fenghua, 2022. "Risk-return relationship and structural breaks: Evidence from China carbon market," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 481-492.
    3. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    4. Anna Creti & Marc Joëts, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Post-Print hal-01549809, HAL.
    5. Deeney, Peter & Cummins, Mark & Dowling, Michael & Smeaton, Alan F., 2016. "Influences from the European Parliament on EU emissions prices," Energy Policy, Elsevier, vol. 88(C), pages 561-572.
    6. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    7. Reyer Gerlagh & Roweno J. R. K. Heijmans & Knut Einar Rosendahl, 2020. "COVID-19 Tests the Market Stability Reserve," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 855-865, August.
    8. Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).
    9. 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).
    10. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    11. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    12. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.

  69. Aboura, Sofiane & Chevallier, Julien, 2014. "Volatility equicorrelation: A cross-market perspective," Economics Letters, Elsevier, vol. 122(2), pages 289-295.
    See citations under working paper version above.
  70. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    See citations under working paper version above.
  71. Aboura, Sofiane & Chevallier, Julien, 2014. "Cross-market index with Factor-DCC," Economic Modelling, Elsevier, vol. 40(C), pages 158-166.
    See citations under working paper version above.
  72. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    See citations under working paper version above.
  73. Aboura, Sofiane & Chevallier, Julien, 2014. "Cross-market spillovers with ‘volatility surprise’," Review of Financial Economics, Elsevier, vol. 23(4), pages 194-207.
    See citations under working paper version above.
  74. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 127-153, May.
    See citations under working paper version above.
  75. Julien Chevallier & Mathieu Gatumel & Florian Ielpo, 2014. "Commodity markets through the business cycle," Quantitative Finance, Taylor & Francis Journals, vol. 14(9), pages 1597-1618, September.

    Cited by:

    1. Wei Yang & Ai Han & Yongmiao Hong & Shouyang Wang, 2016. "Analysis of crisis impact on crude oil prices: a new approach with interval time series modelling," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1917-1928, December.
    2. Hayette Gatfaoui, 2019. "Diversifying portfolios of U.S. stocks with crude oil and natural gas: A regime-dependent optimization with several risk measures," Post-Print hal-02115626, HAL.
    3. Zhang, Yongmin & Ding, Shusheng, 2021. "Liquidity effects on price and return co-movements in commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    4. Aneeta Elsa Simon & Manu K.S., 2023. "Does Sentiments Impact the Returns of Commodity Derivatives? An Evidence from Multi-commodity Exchange India," Vision, , vol. 27(1), pages 79-92, February.
    5. Charalampos Stasinakis & Georgios Sermpinis & Ioannis Psaradellis & Thanos Verousis, 2016. "Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1901-1915, December.
    6. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
    7. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.

  76. Julien Chevallier & Florian Ielpo, 2014. "Twenty years of jumps in commodity markets," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(1), pages 64-82, January.

    Cited by:

    1. Maslyuk-Escobedo, Svetlana & Rotaru, Kristian & Dokumentov, Alexander, 2017. "News sentiment and jumps in energy spot and futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 186-210.
    2. Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2017. "Jumps in Commodity Markets," Hannover Economic Papers (HEP) dp-615, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Abakah, Emmanuel Joel Aikins & Nasreen, Samia & Tiwari, Aviral Kumar & Lee, Chien-Chiang, 2023. "U.S. leveraged loan and debt markets: Implications for optimal portfolio and hedging," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Manuel Ammann & Mathis Moerke & Marcel Prokopczuk & Christoph Matthias Würsig, 2023. "Commodity tail risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 168-197, February.
    5. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
    6. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    7. Boako, Gideon & Alagidede, Paul, 2016. "Global commodities and African stocks: A ‘market of one?’," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 226-237.
    8. Julien Chevallier & St�phane Goutte, 2015. "Detecting jumps and regime switches in international stock markets returns," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1011-1019, September.
    9. Neil A. Wilmot, 2019. "Heavy Metals: Might as Well Jump," IJFS, MDPI, vol. 7(2), pages 1-14, June.
    10. Charles F. Mason & Neil A. Wilmot, 2023. "On Climate Fat Tails and Politics," CESifo Working Paper Series 10815, CESifo.
    11. Chih-Chen Hsu & An-Sing Chen & Shih-Kuei Lin & Ting-Fu Chen, 2017. "The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(3), pages 819-848, April.
    12. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Shao, Xuefeng & Le, TN-Lan & Gyamfi, Matthew Ntow, 2023. "Financial technology stocks, green financial assets, and energy markets: A quantile causality and dependence analysis," Energy Economics, Elsevier, vol. 118(C).
    13. Huhtala, Anni & Ropponen, Olli, 2020. "Resource and Environmental Policies for the Mining Industry: What Should Governments Do About the Increasing Social and Environmental Risks?," Working Papers 137, VATT Institute for Economic Research.
    14. Elie Bouri, 2019. "The Effect of Jumps in the Crude Oil Market on the Sovereign Risks of Major Oil Exporters," Risks, MDPI, vol. 7(4), pages 1-15, December.

  77. Julien Chevallier & Florian Ielpo, 2013. "Volatility spillovers in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1211-1227, September.

    Cited by:

    1. Ding, Yinghui & Chen, Shan & Li, Haoran & Sun, Qingru & Chen, Hanyu & Yu, Hui, 2023. "Causality inference among base metal, rare metal and precious metal markets," Resources Policy, Elsevier, vol. 85(PB).
    2. Magkonis, Georgios & Tsouknidis, Dimitris A., 2017. "Dynamic spillover effects across petroleum spot and futures volatilities, trading volume and open interest," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 104-118.
    3. Takashi Miyazaki & Shigeyuki Hamori, 2016. "The determinants of a simultaneous crash in gold and stock markets: An ordered logit approach," Discussion Papers 1603, Graduate School of Economics, Kobe University.
    4. Jozef Baruník, Evzen Kocenda and Lukáa Vácha, 2015. "Volatility Spillovers Across Petroleum Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    5. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Collet, Jerome & Ielpo, Florian, 2018. "Sector spillovers in credit markets," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 267-278.
    7. Nishimura, Yusaku & Sun, Bianxia, 2018. "The intraday volatility spillover index approach and an application in the Brexit vote," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 241-253.
    8. Lin, Sihan & Chen, Shoudong, 2021. "Dynamic connectedness of major financial markets in China and America," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 646-656.
    9. Lu, Ran & Xu, Wen & Zeng, Hongjun & Zhou, Xiangjing, 2023. "Volatility connectedness among the Indian equity and major commodity markets under the COVID-19 scenario," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1465-1481.
    10. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    11. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018. "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 205-230.
    12. Debasish Maitra & Varun Dawar, 2019. "Return and Volatility Spillover among Commodity Futures, Stock Market and Exchange Rate: Evidence from India," Global Business Review, International Management Institute, vol. 20(1), pages 214-237, February.
    13. Liu, Lu & Zhang, Xiang, 2019. "Financialization and commodity excess spillovers," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 195-216.
    14. Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.
    15. Yin, Kedong & Liu, Zhe & Jin, Xue, 2020. "Interindustry volatility spillover effects in China’s stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    16. Powell, Robert J. & Vo, Duc H. & Pham, Thach N. & Singh, Abhay K., 2017. "The long and short of commodity tails and their relationship to Asian equity markets," Journal of Asian Economics, Elsevier, vol. 52(C), pages 32-44.
    17. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A. & Fijorek, Kamil, 2018. "What drives food price volatility? Evidence based on a generalized VAR approach applied to the food, financial and energy markets," Economics Discussion Papers 2018-55, Kiel Institute for the World Economy (IfW Kiel).
    18. Just, Małgorzata & Echaust, Krzysztof, 2022. "Dynamic spillover transmission in agricultural commodity markets: What has changed after the COVID-19 threat?," Economics Letters, Elsevier, vol. 217(C).
    19. Rafael Baptista Palazzi & Ata Assaf & Marcelo Cabus Klotzle, 2024. "Dynamic connectedness between energy markets and the Brazilian cash market: An empirical analysis pre‐ and post‐COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 27-56, January.
    20. Mohammad Isleimeyyeh & Amine Ben Amar & Stéphane Goutte & Ramzi Benkraiem, 2022. "Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?," Post-Print hal-03674806, HAL.
    21. Néjib Hachicha & Amine Ben Amar & Ikrame Ben Slimane & Makram Bellalah & Jean-Luc Prigent, 2022. "Dynamic connectedness and optimal hedging strategy among commodities and financial indices," Post-Print hal-03745047, HAL.
    22. Liu, Bin & Xiao, Wen & Zhu, Xingting, 2023. "How does inter-industry spillover improve the performance of volatility forecasting?," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    23. Brian M. Lucey, 2014. "Return and Volatility Spillovers in Industrial Metals," The Institute for International Integration Studies Discussion Paper Series iiisdp463, IIIS.
    24. Ben Amar, Amine & Goutte, Stéphane & Isleimeyyeh, Mohammad, 2022. "Asymmetric cyclical connectedness on the commodity markets: Further insights from bull and bear markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 386-400.
    25. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    26. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    27. Radu Lupu & Adrian Cantemir Călin & Cristina Georgiana Zeldea & Iulia Lupu, 2021. "Systemic Risk Spillovers in the European Energy Sector," Energies, MDPI, vol. 14(19), pages 1-23, October.
    28. Jahantigh , Forough & Rahmi Ghasemabadi , Mohammad & Jalali , Omolbanin, 2018. "The Impact of Monetary Policy Shock on the Price of Storable Goods: A Case Study of Food," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(4), pages 471-490, October.
    29. Takashi Miyazaki, 2019. "Clarifying the Response of Gold Return to Financial Indicators: An Empirical Comparative Analysis Using Ordinary Least Squares, Robust and Quantile Regressions," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    30. Sanjay Kumar Rout & Hrushikesh Mallick, 2022. "Sovereign Bond Market Shock Spillover Over Different Maturities: A Journey from Normal to Covid-19 Period," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 697-734, December.
    31. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    32. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).

  78. Julien Chevallier, 2013. "Price relationships in crude oil futures: new evidence from CFTC disaggregated data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(2), pages 133-170, April.

    Cited by:

    1. Julien Chevallier & Benoît Sévi, 2013. "A Fear Index to Predict Oil Futures Returns," Working Papers 2013.62, Fondazione Eni Enrico Mattei.
    2. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    3. Frank Venmans, 2015. "Capital market response to emission allowance prices: a multivariate GARCH approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 577-620, October.
    4. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., 2018. "Mapping algorithms, agricultural futures, and the relationship between commodity investment flows and crude oil futures prices," Energy Economics, Elsevier, vol. 72(C), pages 486-504.
    5. Ayben Koy, 2017. "Modelling Nonlinear Dynamics of Oil Futures Market," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 23-42, June.

  79. Aboura, Sofiane & Chevallier, Julien, 2013. "Leverage vs. feedback: Which Effect drives the oil market?," Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
    See citations under working paper version above.
  80. Sofiane Aboura & Julien Chevallier, 2013. "An equicorrelation measure for equity, bond, foreign exchange and commodity returns," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1618-1624, December.

    Cited by:

    1. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).

  81. Julien Chevallier, 2013. "Carbon Price Drivers: An Updated Literature Review," International Journal of Applied Logistics (IJAL), IGI Global, vol. 4(4), pages 1-7, October.
    See citations under working paper version above.
  82. Julien Chevallier & Mathieu Gatumel & Florian Ielpo, 2013. "Understanding momentum in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1383-1402, October.

    Cited by:

    1. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    2. Baur, Dirk G. & Dichtl, Hubert & Drobetz, Wolfgang & Wendt, Viktoria-Sophie, 2020. "Investing in gold – Market timing or buy-and-hold?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    3. Benjamin R. Auer, 2021. "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 533-553, December.

  83. Julien Chevallier & Florian Ielpo, 2013. "Cross-market linkages between commodities, stocks and bonds," Applied Economics Letters, Taylor & Francis Journals, vol. 20(10), pages 1008-1018, July.

    Cited by:

    1. Alessandra Amendola & Marinella Boccia & Vincenzo Candila & Giampiero M. Gallo, 2020. "Energy and non–energy Commodities: Spillover Effects on African Stock Markets," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-7.
    2. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    3. Noureddine Benlagha, 2014. "Dependence structure between nominal and index-linked bond returns: a bivariate copula and DCC-GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3849-3860, November.
    4. Urom, Christian & Anochiwa, Lasbrey & Yuni, Denis & Idume, Gabriel, 2019. "Asymmetric linkages among precious metals, global equity and bond yields: The role of volatility and business cycle factors," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    5. Hamadi, Hassan & Bassil, Charbel & Nehme, Tamara, 2017. "News surprises and volatility spillover among agricultural commodities: The case of corn, wheat, soybean and soybean oil," Research in International Business and Finance, Elsevier, vol. 41(C), pages 148-157.
    6. Sharma, Aarzoo, 2022. "A comparative analysis of the financialization of commodities during COVID-19 and the global financial crisis using a quantile regression approach," Resources Policy, Elsevier, vol. 78(C).

  84. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.

    Cited by:

    1. Sattarhoff, Cristina & Gronwald, Marc, 2022. "Measuring informational efficiency of the European carbon market — A quantitative evaluation of higher order dependence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    2. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    3. Tietjen, Oliver & Lessmann, Kai & Pahle, Michael, 2021. "Hedging and temporal permit issuances in cap-and-trade programs: The Market Stability Reserve under risk aversion," Resource and Energy Economics, Elsevier, vol. 63(C).
    4. Pedro Antonio Martín-Cervantes & María del Carmen Valls Martínez, 2023. "Unraveling the relationship between betas and ESG scores through the Random Forests methodology," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-29, September.
    5. Cipollini, Andrea & Lo Cascio, Iolanda & Muzzioli, Silvia, 2018. "Risk aversion connectedness in five European countries," Economic Modelling, Elsevier, vol. 71(C), pages 68-79.
    6. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    7. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    8. 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.
    9. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.

  85. Julien Chevallier, 2012. "Time-varying correlations in oil, gas and CO 2 prices: an application using BEKK, CCC and DCC-MGARCH models," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4257-4274, November.
    See citations under working paper version above.
  86. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.

    Cited by:

    1. Pami Dua & Divya Tuteja, 2021. "Regime Shifts in the Behaviour of International Currency and Equity Markets: A Markov-Switching Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 309-336, December.
    2. Wuyi Ye & Kebing Luo & Shaofu Du, 2014. "Measuring Contagion of Subprime Crisis Based on MVMQ-CAViaR Method," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-12, June.
    3. Ozgur, Gokcer, 2023. "The cross-border interconnectedness of shadow banking," Economic Modelling, Elsevier, vol. 126(C).
    4. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    5. Liao, Jui-Jung & Shih, Ching-Hui & Chen, Tai-Feng & Hsu, Ming-Fu, 2014. "An ensemble-based model for two-class imbalanced financial problem," Economic Modelling, Elsevier, vol. 37(C), pages 175-183.
    6. Pami Dua & Divya Tuteja, 2016. "Linkages between Indian and US financial markets: impact of global financial crisis and Eurozone debt crisis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(3), pages 217-240, September.

  87. Julien Chevallier, 2012. "Cointegration between carbon spot and futures prices: from linear to nonlinear modeling," Economics Bulletin, AccessEcon, vol. 32(1), pages 160-181.

    Cited by:

    1. Thijs Benschopa & Brenda López Cabrera, 2014. "Volatility Modelling of CO2 Emission Allowance Spot Prices with Regime-Switching GARCH Models," SFB 649 Discussion Papers SFB649DP2014-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    3. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    4. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.

  88. Julien Chevallier, 2012. "Banking And Borrowing In The Eu Ets: A Review Of Economic Modelling, Current Provisions And Prospects For Future Design," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 157-176, February.

    Cited by:

    1. Marc Baudry & Anouk Faure, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers 2021.10, FAERE - French Association of Environmental and Resource Economists.
    2. Anne Schopp & William Acworth & Daniel Huppmann & Karsten Neuhoff, 2015. "Modelling a Market Stability Reserve in Carbon Markets," Discussion Papers of DIW Berlin 1483, DIW Berlin, German Institute for Economic Research.
    3. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2013. "Market efficiency in the European carbon markets," Energy Policy, Elsevier, vol. 60(C), pages 785-792.
    4. Anna Creti & Bertrand Villeneuve, 2013. "Commodity storage with durable shocks : A simple Markovian model," Post-Print hal-01517436, HAL.
    5. Vollebergh, Herman & Brink, Corjan & Verdonk, Martijn & Roelfsema, Mark, 2013. "Evaluation of Policy Options to Reform the EU Emissions Trading System - Effects on Carbon Price, Emissions and the Economy," Other publications TiSEM 76a2d0f3-cda8-48e8-a881-d, Tilburg University, School of Economics and Management.
    6. Bocklet, Johanna & Hintermayer, Martin, 2020. "How does the EU ETS reform impact allowance prices? The role of myopia, hedging requirements and the Hotelling rule," EWI Working Papers 2020-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    7. Garth Heutel, 2018. "Bankable Prices," NBER Working Papers 25235, National Bureau of Economic Research, Inc.
    8. Jun Dong & Yu Ma & Hongxing Sun, 2016. "From Pilot to the National Emissions Trading Scheme in China: International Practice and Domestic Experiences," Sustainability, MDPI, vol. 8(6), pages 1-17, May.
    9. Anna Creti & Marc Joëts, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Post-Print hal-01549809, HAL.
    10. Brouwers, Roel & Schoubben, Frederiek & Van Hulle, Cynthia & Van Uytbergen, Steve, 2016. "The initial impact of EU ETS verification events on stock prices," Energy Policy, Elsevier, vol. 94(C), pages 138-149.
    11. Hintermayer, Martin, 2020. "A Carbon Price Floor in the Reformed EU ETS: Design matters!," EWI Working Papers 2020-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    12. Timothy N. Cason & Lana Friesen & Lata Gangadharan, 2021. "Complying with environmental regulations: experimental evidence," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 4, pages 69-92, Edward Elgar Publishing.
    13. Arslan Razmi, 2013. "Environmental Macroeconomics: Simple Stylized Frameworks for Short-Run Analysis," UMASS Amherst Economics Working Papers 2013-02, University of Massachusetts Amherst, Department of Economics.
    14. Hintermayer, Martin, 2020. "A carbon price floor in the reformed EU ETS: Design matters!," Energy Policy, Elsevier, vol. 147(C).
    15. Wolfgang Buchholz & Jonas Frank & Hans-Dieter Karl & Johannes Pfeiffer & Karen Pittel & Ursula Triebswetter & Jochen Habermann & Wolfgang Mauch & Thomas Staudacher, 2012. "Die Zukunft der Energiemärkte: Ökonomische Analyse und Bewertung von Potenzialen und Handlungsmöglichkeiten," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 57.
    16. Johanna Bocklet & Martin Hintermayer, 2020. "How Does the EU ETS Reform Impact Allowance Prices? The Role of Myopia, Hedging Requirements and the Hotelling Rule," CESifo Working Paper Series 8579, CESifo.
    17. Perino, Grischa & Willner, Maximilian, 2015. "The price and emission effects of a market stability reserve in a competitive allowance market," WiSo-HH Working Paper Series 28, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    18. Bocklet, Johanna & Hintermayer, Martin & Schmidt, Lukas & Wildgrube, Theresa, 2019. "The Reformed EU ETS - Intertemporal Emission Trading with Restricted Banking," EWI Working Papers 2019-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    19. Marc Gronwald & Janina Ketterer, 2012. "What Moves the European Carbon Market? - Insights from Conditional Jump Models," CESifo Working Paper Series 3795, CESifo.
    20. Liao, Ling & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda & Gehricke, Sebastian, 2023. "The role of fundamentals and policy in New Zealand's carbon prices," Energy Economics, Elsevier, vol. 124(C).
    21. Schmidt, Lukas, 2020. "Puncturing the Waterbed or the New Green Paradox? The Effectiveness of Overlapping Policies in the EU ETS under Perfect Foresight and Myopia," EWI Working Papers 2020-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    22. Hintermayer, Martin, 2020. "A Carbon Price Floor in the Reformed EU ETS: Design Matters!," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224576, Verein für Socialpolitik / German Economic Association.
    23. Jussi Lintunen & Olli-Pekka Kuusela, 2015. "Optimal Management of Markets for Bankable Emission PermitsOptimal Management of Markets for Bankable Emission Permits," Working Papers 2015.48, Fondazione Eni Enrico Mattei.
    24. Bocklet, Johanna & Hintermayer, Martin & Schmidt, Lukas & Wildgrube, Theresa, 2019. "The reformed EU ETS - Intertemporal emission trading with restricted banking," Energy Economics, Elsevier, vol. 84(C).
    25. Vincent Bertrand, 2013. "Modeling of Emission Allowance Markets: A Literature Review," Working Papers 1304, Chaire Economie du climat.
    26. Bocklet, Johanna, 2020. "The Reformed EU ETS in Times of Economic Crises: the Case of the COVID-19 Pandemic," EWI Working Papers 2020-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    27. Pauli Lappi, 2017. "Emissions trading, non-compliance and bankable permits," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1081-1099, December.
    28. Bruno Bosco, 2020. "Auctioning C02 Emission Allowances in Europe. A Time Series Analysis of Equilibrium Prices," Working Papers 448, University of Milano-Bicocca, Department of Economics.

  89. Julien Chevallier, 2012. "EUAs and CERs: Interactions in a Markov regime-switching environment," Economics Bulletin, AccessEcon, vol. 32(1), pages 86-101.

    Cited by:

    1. Marc Gronwald & Beat Hintermann, 2016. "Explaining the EUA-CER Spread," CESifo Working Paper Series 5795, CESifo.
    2. Beat Hintermann & Marc Gronwald, 2019. "Linking with Uncertainty: The Relationship Between EU ETS Pollution Permits and Kyoto Offsets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 761-784, October.

  90. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    See citations under working paper version above.
  91. Julien Chevallier & Erik Delarue & Emeric Lujan & William D'haeseleer;, 2012. "A counterfactual simulation exercise of CO 2 emissions abatement through fuel-switching in the UK (2008-2012)," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(5), pages 311-331.

    Cited by:

    1. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2021. "How effective is carbon pricing? A machine learning approach to policy evaluation," ZEW Discussion Papers 21-039, ZEW - Leibniz Centre for European Economic Research.
    2. Jan Abrell & Mirjam Kosch & Sebastian Rausch, 2019. "How Effective Was the UK Carbon Tax? — A Machine Learning Approach to Policy Evaluation," CER-ETH Economics working paper series 19/317, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.

  92. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    See citations under working paper version above.
  93. Julien Chevallier & Benoît Sévi, 2011. "On the realized volatility of the ECX CO 2 emissions 2008 futures contract: distribution, dynamics and forecasting," Annals of Finance, Springer, vol. 7(1), pages 1-29, February.
    See citations under working paper version above.
  94. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.

    Cited by:

    1. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    2. Dai, Peng-Fei & Xiong, Xiong & Duc Huynh, Toan Luu & Wang, Jiqiang, 2022. "The impact of economic policy uncertainties on the volatility of European carbon market," Journal of Commodity Markets, Elsevier, vol. 26(C).
    3. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    4. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    5. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    6. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
    7. Kim, Jeonghyun & Seo, Byeongseon, 2015. "Transaction Costs And Nonlinear Mean Reversion In The Eu Emission Trading Scheme," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 56(2), pages 281-296, December.
    8. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    9. Caner Demir & Raif Cergibozan & Ali Ari, 2020. "Environmental dimension of innovation: time series evidence from Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2497-2516, March.
    10. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    11. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    12. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    13. Yu, Jongmin & Mallory, Mindy L., 2014. "Exchange rate effect on carbon credit price via energy markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 145-161.
    14. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    15. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
    16. Yoo, Do-il & Kim, Hyeon-woong & Kwon, Ji-soo & Kim, So-Jin, 2018. "Multivariate Analysis of Carbon Price with Energy Market, Climate Change, and Political Issues," 2018 Annual Meeting, August 5-7, Washington, D.C. 274298, Agricultural and Applied Economics Association.
    17. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    18. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," ZEW Discussion Papers 13-001, ZEW - Leibniz Centre for European Economic Research.
    19. Esteve, Vicente & Tamarit, Cecilio, 2012. "Threshold cointegration and nonlinear adjustment between CO2 and income: The Environmental Kuznets Curve in Spain, 1857–2007," Energy Economics, Elsevier, vol. 34(6), pages 2148-2156.
    20. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    21. Li, Xin & Li, Zheng & Su, Chi-Wei & Umar, Muhammad & Shao, Xuefeng, 2022. "Exploring the asymmetric impact of economic policy uncertainty on China's carbon emissions trading market price: Do different types of uncertainty matter?," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    22. Roach, Travis, 2015. "Hidden regimes and the demand for carbon dioxide from motor-gasoline," Energy Economics, Elsevier, vol. 52(PB), pages 306-315.
    23. 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.
    24. Yeonjeong Lee & Seong-Min Yoon, 2020. "Dynamic Spillover and Hedging among Carbon, Biofuel and Oil," Energies, MDPI, vol. 13(17), pages 1-19, August.
    25. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    26. Eleni Zafeiriou & Constantinos Katrakilidis & Chrysanthi Pegiou, 2019. "Consumer Confidence on Heating Oil Prices: An Empirical Study of their Relationship for European Union in a Nonlinear Framework," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 63-90.
    27. Julien Chevallier, 2012. "Cointegration between carbon spot and futures prices: from linear to nonlinear modeling," Economics Bulletin, AccessEcon, vol. 32(1), pages 160-181.
    28. Cavicchioli, Maddalena & Pistoresi, Barbara, 2016. "Testing threshold cointegration in Wagner's Law: The role of military spending," Economic Modelling, Elsevier, vol. 59(C), pages 23-31.
    29. 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.
    30. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    31. 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.
    32. Chen, Hong & Gangopadhyay, Partha & Singh, Baljeet & Shankar, Sriram, 2022. "Measuring preferences for energy efficiency in ACI and EU nations and uncovering their impacts on energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    33. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    34. Partha Gangopadhyay & Narasingha Das, 2022. "Can Energy Efficiency Promote Human Development in a Developing Economy?," Sustainability, MDPI, vol. 14(21), pages 1-20, November.

  95. Chèze, Benoît & Gastineau, Pascal & Chevallier, Julien, 2011. "Forecasting world and regional aviation jet fuel demands to the mid-term (2025)," Energy Policy, Elsevier, vol. 39(9), pages 5147-5158, September.
    See citations under working paper version above.
  96. Chevallier, Julien & Etner, Johanna & Jouvet, Pierre-André, 2011. "Bankable emission permits under uncertainty and optimal risk-management rules," Research in Economics, Elsevier, vol. 65(4), pages 332-339, December.

    Cited by:

    1. Simon Quemin, 2017. "Intertemporal abatement decisions under ambiguity aversion in a cap and trade," Working Papers 1703, Chaire Economie du climat.
    2. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    3. Raphaël Trotignon & Pierre-André Jouvet & Boris Solier & Simon Quemin & Jérémy Elbeze, 2015. "European carbon market: lessons on the impact of a market stability reserve using the Zephyr model," Working Papers 1511, Chaire Economie du climat.
    4. Elke Moser & Andrea Seidl & Gustav Feichtinger, 2014. "History-dependence in production-pollution-trade-off models: a multi-stage approach," Annals of Operations Research, Springer, vol. 222(1), pages 457-481, November.

  97. Chevallier, Julien, 2011. "Detecting instability in the volatility of carbon prices," Energy Economics, Elsevier, vol. 33(1), pages 99-110, January.
    See citations under working paper version above.
  98. Julien Chevallier, 2011. "The impact of nonlinearities for carbon markets analyses," International Economics, CEPII research center, issue 126-127, pages 131-150.

    Cited by:

    1. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.

  99. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    3. Lovcha, Yuliya & Pérez Laborda, Àlex & Sikora, Iryna, 2019. "The Determinants of CO2 prices in the EU ETS System," Working Papers 2072/376031, Universitat Rovira i Virgili, Department of Economics.
    4. Harrison Fell, Beat Hintermann, and Herman Vollebergh, 2015. "Carbon content of electricity futures in Phase II of the EU ETS," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Post-Print hal-01474249, HAL.
    6. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    7. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    8. Xinyu Wu & Xuebao Yin & Xueting Mei, 2022. "Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model," Sustainability, MDPI, vol. 14(7), pages 1-13, April.
    9. Xinghua Fan & Ying Zhang & Jiuli Yin, 2018. "Evolutionary Analysis of a Three-Dimensional Carbon Price Dynamic System," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    10. Pilar Gargallo & Luis Lample & Jesús A. Miguel & Manuel Salvador, 2021. "Co-Movements between Eu Ets and the Energy Markets: A Var-Dcc-Garch Approach," Mathematics, MDPI, vol. 9(15), pages 1-36, July.
    11. Lovcha, Yuliya & Perez-Laborda, Alejandro & Sikora, Iryna, 2022. "The determinants of CO2 prices in the EU emission trading system," Applied Energy, Elsevier, vol. 305(C).
    12. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    13. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    14. Marques, António Cardoso & Fuinhas, José Alberto, 2015. "The role of Portuguese electricity generation regimes and industrial production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 321-330.
    15. Liu, Jianing & Man, Yuanyuan & Dong, Xiuliang, 2023. "Tail dependence and risk spillover effects between China's carbon market and energy markets," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 553-567.
    16. Bernard Caillaud & Gabrielle Demange, 2017. "Joint design of emission tax and trading systems," PSE-Ecole d'économie de Paris (Postprint) hal-01784380, HAL.
    17. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    18. Jianfen Feng & Xiaowei Huang & Juyue Hou & Chunxia Wang & Yan Zeng, 2018. "Carbon Bond Pricing And Model Selection," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 465-481, March.
    19. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    20. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    21. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    22. Govorukha, Kristina & Mayer, Philip & Rübbelke, Dirk & Vögele, Stefan, 2020. "Economic disruptions in long-term energy scenarios – Implications for designing energy policy," Energy, Elsevier, vol. 212(C).
    23. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    24. Yu, Jongmin & Mallory, Mindy L., 2014. "Exchange rate effect on carbon credit price via energy markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 145-161.
    25. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
    26. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    27. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," ZEW Discussion Papers 13-001, ZEW - Leibniz Centre for European Economic Research.
    28. 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).
    29. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    30. Murray, Brian C. & Maniloff, Peter T., 2015. "Why have greenhouse emissions in RGGI states declined? An econometric attribution to economic, energy market, and policy factors," Energy Economics, Elsevier, vol. 51(C), pages 581-589.
    31. Marques, António Cardoso & Fuinhas, José Alberto & Menegaki, Angeliki N., 2016. "Renewable vs non-renewable electricity and the industrial production nexus: Evidence from an ARDL bounds test approach for Greece," Renewable Energy, Elsevier, vol. 96(PA), pages 645-655.
    32. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    33. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Is carbon emissions trading profitable?," Economic Modelling, Elsevier, vol. 47(C), pages 84-92.
    34. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    35. Rickels, Wilfried & Görlich, Dennis & Oberst, Gerrit & Peterson, Sonja, 2012. "Carbon price dynamics: Evidence from Phase II of the European Emission Trading Scheme," Kiel Working Papers 1804, Kiel Institute for the World Economy (IfW Kiel).
    36. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2022. "The relationship between carbon-intensive fuel and renewable energy stock prices under the emissions trading system," Energy Economics, Elsevier, vol. 114(C).
    37. Roach, Travis, 2015. "Hidden regimes and the demand for carbon dioxide from motor-gasoline," Energy Economics, Elsevier, vol. 52(PB), pages 306-315.
    38. Abate, Arega Getaneh & Riccardi, Rossana & Ruiz, Carlos, 2021. "Contracts in electricity markets under EU ETS: A stochastic programming approach," Energy Economics, Elsevier, vol. 99(C).
    39. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    40. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    41. Reyer Gerlagh & Roweno J. R. K. Heijmans & Knut Einar Rosendahl, 2020. "COVID-19 Tests the Market Stability Reserve," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 855-865, August.
    42. Dimitar Zlatinov & Bozhidar Nedev & Ilia Atanasov & Nedko Kosev, 2019. "Effects on the Economic Growth in Bulgaria during the Transition to Low-Carbon Economy in the Energy Sector," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 110-127.
    43. Yeonjeong Lee & Seong-Min Yoon, 2020. "Dynamic Spillover and Hedging among Carbon, Biofuel and Oil," Energies, MDPI, vol. 13(17), pages 1-19, August.
    44. Wen, Fenghua & Zhao, Lili & He, Shaoyi & Yang, Guozheng, 2020. "Asymmetric relationship between carbon emission trading market and stock market: Evidences from China," Energy Economics, Elsevier, vol. 91(C).
    45. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    46. Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    47. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    48. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    49. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    50. Marques, António Cardoso & Fuinhas, José Alberto & Menegaki, Angeliki N., 2014. "Interactions between electricity generation sources and economic activity in Greece: A VECM approach," Applied Energy, Elsevier, vol. 132(C), pages 34-46.
    51. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    52. Joao Leitao & Joaquim Ferreira & Ernesto Santibanez‐Gonzalez, 2021. "Green bonds, sustainable development and environmental policy in the European Union carbon market," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2077-2090, May.
    53. 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).
    54. Li, Houjian & Li, Qingman & Huang, Xinya & Guo, Lili, 2023. "Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework," International Review of Financial Analysis, Elsevier, vol. 86(C).
    55. 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.
    56. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    57. Marques, António Cardoso & Fuinhas, José Alberto & Macedo, Daniela Pereira, 2019. "The impact of feed-in and capacity policies on electricity generation from renewable energy sources in Spain," Utilities Policy, Elsevier, vol. 56(C), pages 159-168.
    58. Hung Xuan Do & Rabindra Nepal & Son Duy Pham & Tooraj Jamasb, 2023. "Electricity Market Crisis in Europe and Cross Border Price Effects: A Quantile Return Connectedness Analysis," CAMA Working Papers 2023-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    59. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    60. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    61. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    62. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    63. Kanamura, Takashi, 2016. "Role of carbon swap trading and energy prices in price correlations and volatilities between carbon markets," Energy Economics, Elsevier, vol. 54(C), pages 204-212.
    64. Oscar Carchano & Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Rolling over EUAs and CERs," Working Papers. Serie AD 2012-15, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    65. 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.
    66. Chen, Weidong & Xiong, Shi & Chen, Quanyu, 2022. "Characterizing the dynamic evolutionary behavior of multivariate price movement fluctuation in the carbon-fuel energy markets system from complex network perspective," Energy, Elsevier, vol. 239(PA).
    67. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    68. 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.
    69. Cao, Guangxi & Xu, Wei, 2016. "Nonlinear structure analysis of carbon and energy markets with MFDCCA based on maximum overlap wavelet transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 505-523.
    70. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    71. Yan Nie & Guoxing Zhang, 2020. "Indicator system to evaluate the effectiveness and efficiency of China clean power systems," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1381-1401, October.
    72. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    73. Xiaoshuai Fan & Kanglin Chen & Ying-Ju Chen, 2023. "Is Price Commitment a Better Solution to Control Carbon Emissions and Promote Technology Investment?," Management Science, INFORMS, vol. 69(1), pages 325-341, January.
    74. 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.
    75. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    76. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.
    77. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.

  100. Julien Chevallier, 2011. "Wavelet packet transforms analysis applied to carbon prices," Economics Bulletin, AccessEcon, vol. 31(2), pages 1731-1747.

    Cited by:

    1. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    2. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    3. Jianguo Zhou & Qiqi Wang, 2021. "Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine," Sustainability, MDPI, vol. 13(15), pages 1-17, July.

  101. Benoît Chèze & Pascal Gastineau & Julien Chevallier, 2011. "Air traffic energy efficiency differs from place to place: New results from a macro-level approach," International Economics, CEPII research center, issue 126-127, pages 151-177.
    See citations under working paper version above.
  102. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    See citations under working paper version above.
  103. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.

    Cited by:

    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
    3. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    4. 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.
    5. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    6. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    7. Tol, Richard S.J., 2012. "A cost–benefit analysis of the EU 20/20/2020 package," Energy Policy, Elsevier, vol. 49(C), pages 288-295.
    8. Po Yun & Chen Zhang & Yaqi Wu & Xianzi Yang & Zulfiqar Ali Wagan, 2020. "A Novel Extended Higher-Order Moment Multi-Factor Framework for Forecasting the Carbon Price: Testing on the Multilayer Long Short-Term Memory Network," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    9. Zachmann, Georg, 2013. "A stochastic fuel switching model for electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 5-13.
    10. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    11. Feng, Ling & Wang, Jieyu, 2023. "Random sources correlations and carbon futures pricing," International Review of Financial Analysis, Elsevier, vol. 86(C).
    12. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    13. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    14. Kaijian He & Qian Yang & Lei Ji & Jingcheng Pan & Yingchao Zou, 2023. "Financial Time Series Forecasting with the Deep Learning Ensemble Model," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    15. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    16. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    17. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    18. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    19. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    20. 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.
    21. Hyeonho Kim & Yujin Kim & Yongho Ko & Seungwoo Han, 2022. "Performance Comparison of Predictive Methodologies for Carbon Emission Credit Price in the Korea Emission Trading System," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    22. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    23. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    24. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    25. 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.
    26. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    27. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.
    28. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.
    29. Wen Zhang & Zhibin Wu, 2022. "Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 615-632, April.
    30. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).

  104. Emeric Lujan & Erik Delarue & Julien Chevallier & William D'haeseleer;, 2011. "CO 2 abatement opportunity in the UK through fuel-switching under the EU ETS (2005-2008): evidence from the E-Simulate model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 178-214.

    Cited by:

    1. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.

  105. Julien Chevallier, 2011. "Anticipating correlations between EUAs and CERs: a Dynamic Conditional Correlation GARCH model," Economics Bulletin, AccessEcon, vol. 31(1), pages 255-272.

    Cited by:

    1. Meng, Bin & Chen, Shuiyang & Haralambides, Hercules & Kuang, Haibo & Fan, Lidong, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Energy Economics, Elsevier, vol. 120(C).
    2. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    3. Jongmin Yu & Mindy L. Mallory, 2020. "Carbon price interaction between allocated permits and generated offsets," Operational Research, Springer, vol. 20(2), pages 671-700, June.
    4. Theodoros Syriopoulos & Efthymios Roumpis & Michael Tsatsaronis, 2023. "Hedging Strategies in Carbon Emission Price Dynamics: Implications for Shipping Markets," Energies, MDPI, vol. 16(17), pages 1-27, September.
    5. Hieronymi, Philipp & Schüller, David, 2015. "The Clean-Development Mechanism, stochastic permit prices and energy investments," Energy Economics, Elsevier, vol. 47(C), pages 25-36.
    6. Sama Haddad, 2023. "Global Financial Market Integration: A Literature Survey," JRFM, MDPI, vol. 16(12), pages 1-27, November.
    7. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    8. Nimisha Kapoor, 2013. "Modelling Daily CER Price Volatility in European Energy Exchange: Evidence from MSARIMA-EGARCH Model," Vision, , vol. 17(4), pages 279-284, December.
    9. Julien Chevallier, 2012. "EUAs and CERs: Interactions in a Markov regime-switching environment," Economics Bulletin, AccessEcon, vol. 32(1), pages 86-101.

  106. Julien Chevallier, 2011. "Econometric analysis of carbon markets: the european union emissions trading scheme and the clean development mechanism," Economics Bulletin, AccessEcon, vol. 31(4), pages 1-53.
    See citations under working paper version above.
  107. Chevallier, Julien & Le Pen, Yannick & Sévi, Benoît, 2011. "Options introduction and volatility in the EU ETS," Resource and Energy Economics, Elsevier, vol. 33(4), pages 855-880.
    See citations under working paper version above.
  108. Julien Chevallier, 2010. "Volatility forecasting of carbon prices using factor models," Economics Bulletin, AccessEcon, vol. 30(2), pages 1642-1660.

    Cited by:

    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    3. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    4. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    5. Yumin Li & Ruiqi Yang & Xiaoman Wang & Jiaming Zhu & Nan Song, 2023. "Carbon Price Combination Forecasting Model Based on Lasso Regression and Optimal Integration," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    6. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    7. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    8. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.

  109. Julien Chevallier, 2010. "Carbon capture and storage (CCS) technologies and economic investment opportunities in the UK," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 12(3), pages 252-265.
    See citations under working paper version above.
  110. Chevallier, Julien, 2010. "The impact of Australian ETS news on wholesale spot electricity prices: An exploratory analysis," Energy Policy, Elsevier, vol. 38(8), pages 3910-3921, August.

    Cited by:

    1. Andrianesis, Panagiotis & Biskas, Pandelis & Liberopoulos, George, 2021. "Evaluating the cost of emissions in a pool-based electricity market," Applied Energy, Elsevier, vol. 298(C).
    2. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Yan Xiao & Yan Zhang & Jiekuan Zhang, 2023. "The Impact of Carbon Emission Trading on Industrial Green Total Factor Productivity," Sustainability, MDPI, vol. 15(7), pages 1-18, April.

  111. Julien Chevallier, 2010. "EUAs and CERs: Vector Autoregression, Impulse Response Function and Cointegration Analysis," Economics Bulletin, AccessEcon, vol. 30(1), pages 558-576.

    Cited by:

    1. Nazifi, Fatemeh, 2013. "Modelling the price spread between EUA and CER carbon prices," Energy Policy, Elsevier, vol. 56(C), pages 434-445.
    2. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    3. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    4. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    5. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2013. "Analyse temps-fréquence de la relation entre les prix du quota et du crédit carbone," Working Papers 13-12, LAMETA, Universtiy of Montpellier, revised Nov 2013.
    6. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    7. Vicente Medina & Angel Pardo & Roberto Pascual, 2013. "Carbon Credits: Who is the Leader of the Pack?," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 210-220.
    8. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2015. "Analyse temps-fréquence du co-mouvement entre le marché européen du CO2 et les autres marchés de l'énergie," Working Papers 15-08, LAMETA, Universtiy of Montpellier, revised May 2015.
    9. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.
    10. Oscar Carchano & Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Rolling over EUAs and CERs," Working Papers. Serie AD 2012-15, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    11. Hyeonho Kim & Yujin Kim & Yongho Ko & Seungwoo Han, 2022. "Performance Comparison of Predictive Methodologies for Carbon Emission Credit Price in the Korea Emission Trading System," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    12. 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.
    13. de Bonviller, Simon & Wheeler, Sarah Ann & Zuo, Alec, 2020. "The dynamics of groundwater markets: Price leadership and groundwater demand elasticity in the Murrumbidgee, Australia," Agricultural Water Management, Elsevier, vol. 239(C).
    14. 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.
    15. Julien Chevallier, 2012. "EUAs and CERs: Interactions in a Markov regime-switching environment," Economics Bulletin, AccessEcon, vol. 32(1), pages 86-101.

  112. Julien Chevallier, 2010. "A Note on Cointegrating and Vector Autoregressive Relationships between CO2 allowances spot and futures prices," Economics Bulletin, AccessEcon, vol. 30(2), pages 1564-1584.

    Cited by:

    1. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," AMSE Working Papers 1520, Aix-Marseille School of Economics, France.
    2. Gavard, Claire & Kirat, Djamel, 2020. "Short-term impacts of carbon offsetting on emissions trading schemes: Empirical insights from the EU experience," ZEW Discussion Papers 20-058, ZEW - Leibniz Centre for European Economic Research.
    3. Rittler, Daniel, 2012. "Price discovery and volatility spillovers in the European Union emissions trading scheme: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 774-785.
    4. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    5. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    6. Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong & Sousa, Ricardo M., 2015. "An empirical analysis of energy cost pass-through to CO2 emission prices," Energy Economics, Elsevier, vol. 49(C), pages 149-156.
    7. Daskalakis, George, 2013. "On the efficiency of the European carbon market: New evidence from Phase II," Energy Policy, Elsevier, vol. 54(C), pages 369-375.
    8. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    9. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    10. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Energy prices and CO2 emission allowance prices: A quantile regression approach," NIPE Working Papers 06/2014, NIPE - Universidade do Minho.
    11. Kapoor, Nimisha & Ghosh, Sajal, 2014. "Long-term association between European and Indian markets on carbon credit price," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 656-662.
    12. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    13. Vellachami, Sanggetha & Hasanov, Akram Shavkatovich & Brooks, Robert, 2023. "Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    14. Salman Sarwat & Muhammad Kashif & Muhammad Aqil & Farhan Ahmed, 2019. "Determination of Causality in Prices of Crude Oil," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 298-304.
    15. Julien Chevallier, 2012. "Cointegration between carbon spot and futures prices: from linear to nonlinear modeling," Economics Bulletin, AccessEcon, vol. 32(1), pages 160-181.
    16. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.
    17. Philip, Dennis & Shi, Yukun, 2015. "Impact of allowance submissions in European carbon emission markets," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 27-37.
    18. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    19. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    20. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    21. Reboredo, Juan C., 2013. "Modeling EU allowances and oil market interdependence. Implications for portfolio management," Energy Economics, Elsevier, vol. 36(C), pages 471-480.
    22. Marcel Gorenflo, 2013. "Futures price dynamics of CO 2 emission allowances," Empirical Economics, Springer, vol. 45(3), pages 1025-1047, December.
    23. Djamel KIRAT & Claire GAVARD, 2020. "Short-term impacts of carbon offsetting on emissions trading schemes: empirical insights from the EU experience," LEO Working Papers / DR LEO 2821, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    24. George Daskalakis, Lazaros Symeonidis, Raphael N. Markellos, 2015. "Electricity futures prices in an emissions constrained economy: Evidence from European power markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    25. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.
    26. Hao Chen & Zhixin Liu & Yinpeng Zhang & You Wu, 2020. "The Linkages of Carbon Spot-Futures: Evidence from EU-ETS in the Third Phase," Sustainability, MDPI, vol. 12(6), pages 1-18, March.

  113. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.

    Cited by:

    1. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Asymmetric and nonlinear pass-through of energy prices to CO2 emission allowance prices," NIPE Working Papers 05/2014, NIPE - Universidade do Minho.
    2. Arouri, Mohamed El Hédi & Jawadi, Fredj & Nguyen, Duc Khuong, 2012. "Nonlinearities in carbon spot-futures price relationships during Phase II of the EU ETS," Economic Modelling, Elsevier, vol. 29(3), pages 884-892.
    3. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," AMSE Working Papers 1520, Aix-Marseille School of Economics, France.
    4. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    5. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    6. Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong & Sousa, Ricardo M., 2015. "An empirical analysis of energy cost pass-through to CO2 emission prices," Energy Economics, Elsevier, vol. 49(C), pages 149-156.
    7. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    8. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    9. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    10. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Energy prices and CO2 emission allowance prices: A quantile regression approach," NIPE Working Papers 06/2014, NIPE - Universidade do Minho.
    11. Abate, Arega Getaneh & Riccardi, Rossana & Ruiz, Carlos, 2021. "Contracts in electricity markets under EU ETS: A stochastic programming approach," Energy Economics, Elsevier, vol. 99(C).
    12. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    13. Shuhua Chang & Xinyu Wang, 2015. "Modelling and Computation in the Valuation of Carbon Derivatives with Stochastic Convenience Yields," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-35, May.
    14. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    15. Don Bredin and John Parsons, 2016. "Why is Spot Carbon so Cheap and Future Carbon so Dear? The Term Structure of Carbon Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    17. Reckling, Dennis, 2016. "Variance risk premia in CO2 markets: A political perspective," Energy Policy, Elsevier, vol. 94(C), pages 345-354.
    18. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    19. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    20. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.
    21. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.
    22. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.
    23. Julien Chevallier, 2010. "Volatility forecasting of carbon prices using factor models," Economics Bulletin, AccessEcon, vol. 30(2), pages 1642-1660.

  114. Julien Chevallier, 2010. "Spéculation et marchés dérivés du pétrole," Revue d'Économie Financière, Programme National Persée, vol. 98(3), pages 353-371.
    See citations under working paper version above.
  115. Chevallier, Julien & Ielpo, Florian & Mercier, Ludovic, 2009. "Risk aversion and institutional information disclosure on the European carbon market: A case-study of the 2006 compliance event," Energy Policy, Elsevier, vol. 37(1), pages 15-28, January.

    Cited by:

    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2011. "Option pricing with discrete time jump processes," Documents de travail du Centre d'Economie de la Sorbonne 11037r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Apr 2012.
    3. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    4. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    5. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    6. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.
    7. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    8. Yu, Fei & Grady, Patrick & Knipp, Robert, 2012. "Regulatory Stringency in Issuing Certified Emission Reductions and Price Effects in Secondary Markets," MPRA Paper 50184, University Library of Munich, Germany.
    9. Jiqiang Wang & Yinpeng Liu & Ying Fan & Jianfeng Guo, 2020. "The Impact of Industry on European Union Emissions Trading Market—From Network Perspective," Energies, MDPI, vol. 13(21), pages 1-16, October.
    10. Fan, Ying & Jia, Jun-Jun & Wang, Xin & Xu, Jin-Hua, 2017. "What policy adjustments in the EU ETS truly affected the carbon prices?," Energy Policy, Elsevier, vol. 103(C), pages 145-164.
    11. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    12. Rannou, Yves, 2019. "Limit order books, uninformed traders and commodity derivatives: Insights from the European carbon futures," Economic Modelling, Elsevier, vol. 81(C), pages 387-410.
    13. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    15. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    16. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.
    17. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    18. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    19. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    20. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2014. "Estimation and performance evaluation of optimal hedge ratios in the carbon market of the European Union Emissions Trading Scheme," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 73-91, February.
    21. Julien Chevallier, 2011. "Detecting Instability in the Volatility of Carbon Prices," Post-Print hal-00991957, HAL.
    22. Fan, Xinghua & Li, Shasha & Tian, Lixin, 2016. "Complexity of carbon market from multi-scale entropy analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 79-85.
    23. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers halshs-00387286, HAL.
    24. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    25. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2022. "The relationship between carbon-intensive fuel and renewable energy stock prices under the emissions trading system," Energy Economics, Elsevier, vol. 114(C).
    26. Viteva, Svetlana & Veld-Merkoulova, Yulia V. & Campbell, Kevin, 2014. "The forecasting accuracy of implied volatility from ECX carbon options," Energy Economics, Elsevier, vol. 45(C), pages 475-484.
    27. Tang, Bao-jun & Shen, Cheng & Gao, Chao, 2013. "The efficiency analysis of the European CO2 futures market," Applied Energy, Elsevier, vol. 112(C), pages 1544-1547.
    28. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    29. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2016. "The impact of verified emissions announcements on the European Union emissions trading scheme: A bilaterally modified dummy variable modelling analysis," Applied Energy, Elsevier, vol. 173(C), pages 567-577.
    30. Corina Haita-Falah, 2016. "Uncertainty and speculators in an auction for emissions permits," Journal of Regulatory Economics, Springer, vol. 49(3), pages 315-343, June.
    31. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    32. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    33. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    34. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.
    35. Hitzemann, Steffen & Uhrig-Homburg, Marliese & Ehrhart, Karl-Martin, 2015. "Emission permits and the announcement of realized emissions: Price impact, trading volume, and volatilities," Energy Economics, Elsevier, vol. 51(C), pages 560-569.
    36. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    37. Yves Rannou & Pascal Barneto & Mohamed Amine Boutabba, 2020. "Green Bond market vs. Carbon market in Europe : Two different trajectories but some complementarities," Working Papers hal-02981422, HAL.
    38. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    39. Julien Chevallier, 2010. "The European carbon market (2005-2007): banking, pricing and risk-hedging strategies," Working Papers halshs-00458787, HAL.
    40. Leon Vinokur, 2009. "Disposition in the Carbon Market and Institutional Constraints," Working Papers 652, Queen Mary University of London, School of Economics and Finance.
    41. Shuyi Wang & Zhenhua Wu & Baochen Yang, 2018. "Decision and Performance Analysis of a Price-Setting Manufacturer with Options under a Flexible-Cap Emission Trading Scheme (ETS)," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    42. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    43. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl McAlinden, 2016. "A CGE analysis of carbon market impact on CO 2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    44. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    45. Marcel Gorenflo, 2013. "Futures price dynamics of CO 2 emission allowances," Empirical Economics, Springer, vol. 45(3), pages 1025-1047, December.
    46. Chevallier, Julien, 2013. "Variance risk-premia in CO2 markets," Economic Modelling, Elsevier, vol. 31(C), pages 598-605.
    47. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," Working Papers hal-04140857, HAL.
    48. Bao-Jun Tang & Cheng Shen, 2014. "Carbon market: Systematic risk and expectations of returns-on the comparison analysis of the CDM and EU ETS," CEEP-BIT Working Papers 49, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    49. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    50. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.
    51. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.

  116. Julien Chevallier, 2009. "Energy risk management with carbon assets," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 32(4), pages 328-349.
    See citations under working paper version above.
  117. Emilie Alberola & Julien Chevallier, 2009. "European Carbon Prices and Banking Restrictions: Evidence from Phase I (2005-2007)," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-80.
    See citations under working paper version above.
  118. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Han, Liyan & Liu, Yang & Lin, Qiang & Huang, Gubo, 2015. "Valuing carbon assets for high-tech with application to the wind energy industry," Energy Policy, Elsevier, vol. 87(C), pages 347-358.
    3. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    4. Thijs Benschopa & Brenda López Cabrera, 2014. "Volatility Modelling of CO2 Emission Allowance Spot Prices with Regime-Switching GARCH Models," SFB 649 Discussion Papers SFB649DP2014-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Sklavos, Konstantinos & Dam, Lammertjan & Scholtens, Bert, 2013. "The liquidity of energy stocks," Energy Economics, Elsevier, vol. 38(C), pages 168-175.
    6. Thijs Benschop & Brenda López Cabrera, 2017. "Realized volatility of CO2 futures," SFB 649 Discussion Papers SFB649DP2017-025, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    8. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    9. 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.
    10. Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," LIDAM Reprints LFIN 2015004, Université catholique de Louvain, Louvain Finance (LFIN).
    11. Fouilloux, Jessica & Moraux, Franck & Viviani, Jean-Laurent, 2015. "Investing in finite-life carbon emissions reduction program under risk and idiosyncratic uncertainty," Energy Policy, Elsevier, vol. 82(C), pages 310-320.
    12. Jiongwen Chen & Jinsuo Zhang, 2022. "Effect Mechanism Research of Carbon Price Drivers in China—A Case Study of Shenzhen," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    13. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    14. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    15. Zhang, Xi & Li, Jian, 2018. "Credit and market risks measurement in carbon financing for Chinese banks," Energy Economics, Elsevier, vol. 76(C), pages 549-557.
    16. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Martin Stefan & Claudia Wellenreuther, 2019. "London vs. Leipzig: Price Discovery of Carbon Futures during Phase III of the ETS," CQE Working Papers 8719, Center for Quantitative Economics (CQE), University of Muenster.
    18. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    19. Qian Chen & Xiang Gao & Shan Xie & Li Sun & Shuairu Tian & Shigeyuki Hamori, 2021. "On the Predictability of China Macro Indicator with Carbon Emissions Trading," Energies, MDPI, vol. 14(5), pages 1-24, February.
    20. Xinyu Wu & Xuebao Yin & Xueting Mei, 2022. "Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model," Sustainability, MDPI, vol. 14(7), pages 1-13, April.
    21. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2011. "Testing the martingale difference hypothesis in CO2 emission allowances," Economic Modelling, Elsevier, vol. 28(1-2), pages 27-35, January.
    22. Li, Gang & Li, Yong, 2015. "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, vol. 46(P2), pages 167-176.
    23. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    24. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.
    25. Liudmila Reshetnikova & Natalia Boldyreva & Anton Devyatkov & Zhanna Pisarenko & Danila Ovechkin, 2023. "Carbon Pricing in Current Global Institutional Changes," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    26. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    27. Manera, Matteo & Nicolini, Marcella & Vignati, Ilaria, 2013. "Futures Price Volatility in Commodities Markets: The Role of Short Term vs Long Term Speculation," Energy: Resources and Markets 151372, Fondazione Eni Enrico Mattei (FEEM).
    28. Wei Jiang & Yanyu Zhang, 2023. "Carbon assets and Bitcoin: Hedging roles in global stock markets during the tranquil and turbulent periods?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1183-1203, September.
    29. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    30. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    31. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    32. Minggang Wang & Chenyu Hua & Hua Xu, 2022. "Dynamic Linkages among Carbon, Energy and Financial Markets: Multiplex Recurrence Network Approach," Mathematics, MDPI, vol. 10(11), pages 1-23, May.
    33. 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.
    34. Li, Yiying & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2023. "Vulnerability of sustainable markets to fossil energy shocks," Resources Policy, Elsevier, vol. 85(PB).
    35. Manera, Matteo & Nicolini, Marcella & Vignati, Ilaria, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Energy: Resources and Markets 122868, Fondazione Eni Enrico Mattei (FEEM).
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    164. Martin T. Bohl & Christoph Sulewski, 2018. "The Impact of Long-Short Speculators on the Volatility of Agricultural Commodity Futures Prices," CQE Working Papers 7718, Center for Quantitative Economics (CQE), University of Muenster.
    165. Jiaojiao Sun & Feng Dong, 2023. "Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    166. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    167. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
    168. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.
    169. Wen Zhang & Zhibin Wu, 2022. "Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 615-632, April.
    170. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.
    171. Julien Chevallier, 2010. "Volatility forecasting of carbon prices using factor models," Economics Bulletin, AccessEcon, vol. 30(2), pages 1642-1660.

  119. Alberola, Emilie & Chevallier, Julien & Chèze, Benoît, 2009. "Emissions Compliances and Carbon Prices under the EU ETS: A Country Specific Analysis of Industrial Sectors," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 446-462, May.

    Cited by:

    1. Luís Aguiar-Conraria & Maria Joana Soares & Rita Sousa, 2017. "California´s Carbon Market and Energy Prices: A Wavelet Analysis," NIPE Working Papers 13/2017, NIPE - Universidade do Minho.
    2. Jilin Zhang & Yukun Xu, 2020. "Research on the Price Fluctuation and Risk Formation Mechanism of Carbon Emission Rights in China Based on a GARCH Model," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    3. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    4. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    5. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    6. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    8. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    9. Maria Mansanet-Bataller & Julien Chevallier & Morgan Hervé-Mignucci & Emilie Alberola, 2010. "The EUA-sCER Spread: Compliance Strategies and Arbitrage in the European Carbon Market," Post-Print halshs-00458991, HAL.
    10. Emma Schultz & John Swieringa, 2018. "Information linkages between emission allowance and energy markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 921-935, September.
    11. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    12. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    13. Marin, Giovanni & Mazzanti, Massimiliano, 2009. "Emissions Trends, Labour Productivity Dynamics and Time-Related Events - Sector Heterogeneous Analyses of Decoupling/Recoupling on a 1990-2006 NAMEA," MPRA Paper 17903, University Library of Munich, Germany.
    14. Boersen, Arieke & Scholtens, Bert, 2014. "The relationship between European electricity markets and emission allowance futures prices in phase II of the EU (European Union) emission trading scheme," Energy, Elsevier, vol. 74(C), pages 585-594.
    15. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
    16. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    18. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    19. Julien Chevallier, 2010. "Carbon Prices during the EU ETS Phase II: Dynamics and Volume Analysis," Working Papers halshs-00459140, HAL.
    20. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    21. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," ZEW Discussion Papers 13-001, ZEW - Leibniz Centre for European Economic Research.
    22. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    23. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    24. Simone Borghesi & Giulio Cainelli & Massimiliano Mazzanti, 2012. "Brown Sunsets and Green Dawns in the Industrial Sector: Environmental Innovations, Firm Behavior and the European Emission Trading," Working Papers 2012.03, Fondazione Eni Enrico Mattei.
    25. Cainelli, Giulio & Mazzanti, Massimiliano, 2013. "Environmental innovations in services: Manufacturing–services integration and policy transmissions," Research Policy, Elsevier, vol. 42(9), pages 1595-1604.
    26. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    27. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    28. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    29. Emilie Alberola & Julien Chevallier & Benoît Chèze, 2009. "The EU ETS: CO2 prices drivers during the learning experience (2005-2007)," Working Papers halshs-00389916, HAL.
    30. Rita Sousa & Luís Francisco Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon and Energy Prices: Surfing the Wavelets of California," NIPE Working Papers 19/2014, NIPE - Universidade do Minho.
    31. Wang, Qiang & Chen, Xi, 2013. "Rethinking and reshaping the climate policy: Literature review and proposed guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 469-477.
    32. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    33. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    34. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    35. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.
    36. Rachid Boutti & El Amri Adil & Florence Rodhain, 2019. "Multivariate Analysis of a Time Series EU ETS: Methods and Applications in Carbon Finance," Post-Print hal-03676358, HAL.
    37. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    38. Atalla, Tarek & Bigerna, Simona & Bollino, Carlo Andrea & Polinori, Paolo, 2018. "An alternative assessment of global climate policies," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1272-1289.
    39. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    40. Levihn, Fabian, 2014. "CO2 emissions accounting: Whether, how, and when different allocation methods should be used," Energy, Elsevier, vol. 68(C), pages 811-818.
    41. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    42. Giovanni Marin & Massimiliano Mazzanti, 2013. "The evolution of environmental and labor productivity dynamics," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 357-399, April.
    43. Ye Duan & Zenglin Han & Hailin Mu & Jun Yang & Yonghua Li, 2019. "Research on the Impact of Various Emission Reduction Policies on China’s Iron and Steel Industry Production and Economic Level under the Carbon Trading Mechanism," Energies, MDPI, vol. 12(9), pages 1-26, April.
    44. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    45. Adil El Amri & Rachid Boutti & Salah Oulfarsi & Florence Rodhain & Brahim Bouzahir, 2020. "Carbon financial markets underlying climate risk management, pricing and forecasting: Fundamental analysis," Post-Print hal-03120782, HAL.
    46. 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.
    47. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," Working Papers hal-04140857, HAL.
    48. Giulio Cainelli & Massimiliano Mazzanti & Simone Borghesi, 2012. "The European Emission Trading Scheme and environmental innovation diffusion: Empirical analyses using Italian CIS data," Working Papers 201201, University of Ferrara, Department of Economics.
    49. Rita Sousa & Luís Aguiar-Conraria, 2014. "Dynamics of CO2 price drivers," NIPE Working Papers 02/2014, NIPE - Universidade do Minho.
    50. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.

  120. Julien Chevallier & Pierre-Andre Jouvet & Philippe Michel & Gilles Rotillon, 2009. "Economic Consequences of Permits Allocation Rules," Economie Internationale, CEPII research center, issue 120, pages 77-90.

    Cited by:

    1. Badau, Flavius & Färe, Rolf & Gopinath, Munisamy, 2016. "Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market," Resource and Energy Economics, Elsevier, vol. 45(C), pages 46-64.
    2. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.

  121. Julien Chevallier, 2008. "Strategic Manipulation on Emissions Trading Banking Program with Fixed Horizon," Economics Bulletin, AccessEcon, vol. 17(14), pages 1-9.

    Cited by:

    1. Julien Chevallier, 2009. "Intertemporal Emissions Trading and Market Power: A Dominant Firm with Competitive Fringe Model," Working Papers halshs-00388207, HAL.
    2. Francisco J. André & Luis Miguel de Castro, 2020. "Market Power in Output and Emissions Trading," Games, MDPI, vol. 11(4), pages 1-22, October.

  122. Emilic Alberola & Julien Chevallier & Benoit Cheze, 2008. "The EU Emissions Trading Scheme: the Effects of Industrial Production and CO2 Emissions on Carbon Prices," Economie Internationale, CEPII research center, issue 116, pages 93-126.

    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. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    3. Jiqiang Wang & Yinpeng Liu & Ying Fan & Jianfeng Guo, 2020. "The Impact of Industry on European Union Emissions Trading Market—From Network Perspective," Energies, MDPI, vol. 13(21), pages 1-16, October.
    4. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    5. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    6. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    7. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    8. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Julien Chevallier, 2013. "Carbon trading: past, present and future," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 21, pages 471-489, Edward Elgar Publishing.
    10. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    11. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    12. Luis A. Gil-Alana & Fernando Perez de Gracia & Rangan Gupta, 2015. "Modeling Persistence of Carbon Emission Allowance Prices," Working Papers 201515, University of Pretoria, Department of Economics.
    13. Fabio Antoniou & Efthymia Kyriakopoulou, 2019. "On the Strategic Effect of International Permits Trading on Local Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1299-1329, November.
    14. Julien Chevallier & Johanna Etner & Pierre-André Jouvet, 2008. "Bankable Pollution Permits under Uncertainty and Optimal Risk Management Rules: Theory and Empirical Evidence," Working Papers hal-04140731, HAL.
    15. Oberndorfer, Ulrich, 2009. "EU Emission Allowances and the stock market: Evidence from the electricity industry," Ecological Economics, Elsevier, vol. 68(4), pages 1116-1126, February.
    16. Julien Chevallier & Stéphane Goutte, 2014. "The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process," Working Papers 2014-285, Department of Research, Ipag Business School.
    17. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    18. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    19. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    20. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    21. Nader Trabelsi & Aviral Kumar Tiwari, 2023. "CO2 Emission Allowances Risk Prediction with GAS and GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 775-805, February.
    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 & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    24. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    25. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    26. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.

  123. Alberola, Emilie & Chevallier, Julien & Cheze, Benoi^t, 2008. "Price drivers and structural breaks in European carbon prices 2005-2007," Energy Policy, Elsevier, vol. 36(2), pages 787-797, February.

    Cited by:

    1. Oberndorfer, Ulrich, 2008. "EU Emission Allowances and the Stock Market: Evidence from the Electricity Industry," ZEW Discussion Papers 08-059, ZEW - Leibniz Centre for European Economic Research.
    2. Marimoutou, Vêlayoudom & Soury, Manel, 2015. "Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model," Energy, Elsevier, vol. 88(C), pages 417-429.
    3. Keppler, Jan Horst & Mansanet-Bataller, Maria, 2010. "Causalities between CO2, electricity, and other energy variables during phase I and phase II of the EU ETS," Energy Policy, Elsevier, vol. 38(7), pages 3329-3341, July.
    4. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
    5. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    6. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    7. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    8. Cantillon, Estelle & Slechten, Aurélie, 2018. "Information Aggregation in Emissions Markets with Abatement," CEPR Discussion Papers 13343, C.E.P.R. Discussion Papers.
    9. Thijs Benschopa & Brenda López Cabrera, 2014. "Volatility Modelling of CO2 Emission Allowance Spot Prices with Regime-Switching GARCH Models," SFB 649 Discussion Papers SFB649DP2014-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Amélie Charles & Olivier Darné & Jessica Fouilloux, 2010. "Testing the Martingale Difference Hypothesis in the EU ETS Markets for the CO2 Emission Allowances: Evidence from Phase I and Phase II," Post-Print hal-00797491, HAL.
    11. Chen, Yingqi & Ba, Shusong & Yang, Qing & Yuan, Tian & Zhao, Haibo & Zhou, Ming & Bartocci, Pietro & Fantozzi, Francesco, 2021. "Efficiency of China’s carbon market: A case study of Hubei pilot market," Energy, Elsevier, vol. 222(C).
    12. Lovcha, Yuliya & Pérez Laborda, Àlex & Sikora, Iryna, 2019. "The Determinants of CO2 prices in the EU ETS System," Working Papers 2072/376031, Universitat Rovira i Virgili, Department of Economics.
    13. Harrison Fell, Beat Hintermann, and Herman Vollebergh, 2015. "Carbon content of electricity futures in Phase II of the EU ETS," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Mengrui Zhu & Hua Xu & Xingyu Gao & Minggang Wang & André L. M. Vilela & Lixin Tian, 2022. "Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network," Energies, MDPI, vol. 15(15), pages 1-18, July.
    15. Thijs Benschop & Brenda López Cabrera, 2017. "Realized volatility of CO2 futures," SFB 649 Discussion Papers SFB649DP2017-025, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    16. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    17. Borghesi, Simone & Flori, Andrea, 2018. "EU ETS facets in the net: Structure and evolution of the EU ETS network," Energy Economics, Elsevier, vol. 75(C), pages 602-635.
    18. Kominers, Scott Duke & Teytelboym, Alexander & Crawford, Vincent P, 2017. "An invitation to market design," University of California at San Diego, Economics Working Paper Series qt3xp2110t, Department of Economics, UC San Diego.
    19. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    20. Suzi Kerr & Judd Ormsby, 2016. "The New Zealand Emissions Trading Scheme de-link from Kyoto: impacts on banking and prices," Working Papers 16_13, Motu Economic and Public Policy Research.
    21. Marc Baudry & Anouk Faure, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers 2021.10, FAERE - French Association of Environmental and Resource Economists.
    22. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    23. Tanattrin Bunnag, 2015. "Volatility Transmission in Oil Futures Markets and Carbon Emissions Futures," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 647-659.
    24. 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.
    25. Bredin, Don & Muckley, Cal, 2011. "An emerging equilibrium in the EU emissions trading scheme," Energy Economics, Elsevier, vol. 33(2), pages 353-362, March.
    26. Jiongwen Chen & Jinsuo Zhang, 2022. "Effect Mechanism Research of Carbon Price Drivers in China—A Case Study of Shenzhen," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    27. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    28. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    29. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    30. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    31. Martin Stefan & Claudia Wellenreuther, 2019. "London vs. Leipzig: Price Discovery of Carbon Futures during Phase III of the ETS," CQE Working Papers 8719, Center for Quantitative Economics (CQE), University of Muenster.
    32. Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union Emission Trading Scheme on electricity generation sectors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00378317, HAL.
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Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Bangzhu Zhu & Julien Chevallier, 2017. "Pricing and Forecasting Carbon Markets," Springer Books, Springer, number 978-3-319-57618-3, December.

    Cited by:

    1. Liudmila Reshetnikova & Natalia Boldyreva & Anton Devyatkov & Zhanna Pisarenko & Danila Ovechkin, 2023. "Carbon Pricing in Current Global Institutional Changes," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Weijia Shao & Lukas Friedemann Radke & Fikret Sivrikaya & Sahin Albayrak, 2021. "Adaptive Online Learning for the Autoregressive Integrated Moving Average Models," Mathematics, MDPI, vol. 9(13), pages 1-30, June.
    3. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    4. Madeline Hui Li Lee & Yee Chee Ser & Ganeshsree Selvachandran & Pham Huy Thong & Le Cuong & Le Hoang Son & Nguyen Trung Tuan & Vassilis C. Gerogiannis, 2022. "A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    5. Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    6. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    7. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    8. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    9. Emmanuel Senyo Fianu, 2022. "Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach," Forecasting, MDPI, vol. 4(2), pages 1-27, June.
    10. Hyeonho Kim & Yujin Kim & Yongho Ko & Seungwoo Han, 2022. "Performance Comparison of Predictive Methodologies for Carbon Emission Credit Price in the Korea Emission Trading System," Sustainability, MDPI, vol. 14(13), pages 1-20, July.

  2. Julien Chevallier, 2012. "Econometric Analysis of Carbon Markets," Springer Books, Springer, number 978-94-007-2412-9, December.

    Cited by:

    1. Miroslav Mateev, 2019. "Volatility relation between credit default swap and stock market: new empirical tests," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 681-712, October.
    2. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Working Papers 2024.02, Fondazione Eni Enrico Mattei.
    3. Emma Schultz & John Swieringa, 2018. "Information linkages between emission allowance and energy markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 921-935, September.
    4. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2018. "Volatility spillover of energy markets into EUA markets under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 561-591, July.
    5. Stefan Trück & Rafal Weron, 2015. "Convenience yields and risk premiums in the EU-ETS - Evidence from the Kyoto commitment period," HSC Research Reports HSC/15/03, Hugo Steinhaus Center, Wroclaw University of Technology.
    6. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    7. Rachid Boutti & Florence Rodhain & Isabelle Bourdon & El Amri Adil, 2016. "Finance Carbone à l’heure de la COP 22 : performativité au prisme du Management Responsable au Maroc," Post-Print hal-03666924, HAL.
    8. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    9. Roger Fouquet, 2012. "Economics of Energy and Climate Change: Origins, Developments and Growth," Working Papers 2012-08, BC3.
    10. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    11. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    12. Díaz Valdivia, Carlos, 2014. "The Role of EU-ETS Mechanism as Environmental Investment Promoter in Europe and Developing Countries," Documentos de trabajo 1/2014, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    13. Agnolucci, Paolo & Arvanitopoulos, Theodoros, 2019. "Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector," Energy Economics, Elsevier, vol. 78(C), pages 546-566.
    14. M. Angeles Carnero & Jose Olmo & Lorenzo Pascual, 2018. "Modelling the Dynamics of Fuel and EU Allowance Prices during Phase 3 of the EU ETS," Energies, MDPI, vol. 11(11), pages 1-23, November.
    15. Rachid Boutti & El Amri Adil & Florence Rodhain, 2019. "Multivariate Analysis of a Time Series EU ETS: Methods and Applications in Carbon Finance," Post-Print hal-03676358, HAL.
    16. Adil El Amri & Rachid Boutti & Florence Rodhain, 2020. "Sustainable Finance at the time of Institutions: Performativity through the lens of Responsible Management in Morocco," Post-Print hal-03128882, HAL.
    17. Adil El Amri & Rachid Boutti & Salah Oulfarsi & Florence Rodhain & Brahim Bouzahir, 2020. "Carbon financial markets underlying climate risk management, pricing and forecasting: Fundamental analysis," Post-Print hal-03120782, HAL.
    18. Yang Liu & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    19. Díaz Valdivia, Carlos, 2014. "El rol del mercado de bonos de carbono europeo (EU–ETS) como gestor de inversión en medioambiente en Europa y países en desarrollo," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 22, pages 85-134, Noviembre.

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