Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach
Citations
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- Francisco Porles-Ochoa & Ruben Guevara, 2023. "Moderation of Clean Energy Innovation in the Relationship between the Carbon Footprint and Profits in CO₂e-Intensive Firms: A Quantitative Longitudinal Study," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
- Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & François Soupé, 2023. "Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning," Working Papers hal-03905325, HAL.
- Fraser, Alastair & Fiedler, Tanya, 2023. "Net-zero targets for investment portfolios: An analysis of financed emissions metrics," Energy Economics, Elsevier, vol. 126(C).
- Zhang, Ziqi & Su, Zhi & Wang, Ke & Zhang, Yongji, 2022. "Corporate environmental information disclosure and stock price crash risk: Evidence from Chinese listed heavily polluting companies," Energy Economics, Elsevier, vol. 112(C).
- Ingrid Pamela Nguemkam Tebou & Norbert Tsopze & Dieudonné Tchuente, 2026. "Hybrid Method to Explain Predictions of Stacking Ensemble Model," Information Systems Frontiers, Springer, vol. 28(1), pages 419-439, February.
- Matilda Baret & Yannick Lucotte & Sessi Tokpavi, 2025. "Bridging the Gap: Estimating Scope 3 Emissions at Company’s Level," Working Papers 2025.12, International Network for Economic Research - INFER.
- Yong Shi & Junjie Liu, 2025. "How Climate Risk Affects Enterprise Liquidity: Configuration Effects Based on NCA and fsQCA," Sustainability, MDPI, vol. 17(3), pages 1-18, February.
- Efthymia Iliopoulou & Aspasia Vlachvei & Eirini Koronaki, 2024. "Environmental Drivers, Environmental Practices, and Business Performance: A Systematic Literature Review and Future Research Directions," Sustainability, MDPI, vol. 16(11), pages 1-27, June.
- Ivan Diaz-Rainey & Paul A. Griffin & David H. Lont & Antonio J. Mateo-Márquez & Constancio Zamora-Ramírez, 2024. "Shareholder Activism on Climate Change: Evolution, Determinants, and Consequences," Journal of Business Ethics, Springer, vol. 193(3), pages 481-510, September.
- Luciano Lavecchia & Jacopo Appodia & Paolo Cantatore & Rita Cappariello & Stefano Di Virgilio & Alberto Felettigh & Andrea Giustini & Valeria Guberti & Danilo Liberati & Giorgio Meucci & Stefano Pierm, 2022. "Data and methods to evaluate climate-related and environmental risks in Italy," Questioni di Economia e Finanza (Occasional Papers) 732, Bank of Italy, Economic Research and International Relations Area.
- Mertzanis, Charilaos & Kampouris, Ilias & Samitas, Aristeidis, 2025. "Climate change and U.S. Corporate bond market activity: A machine learning approach," Journal of International Money and Finance, Elsevier, vol. 151(C).
- Wang Gao & Jiajia Wei & Shixiong Yang, 2023. "The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
- Christian Ott & Frank Schiemann, 2023. "The market value of decomposed carbon emissions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(1-2), pages 3-30, January.
- Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda & McCarten, Matthew & Tan, Eric K.M., 2023. "Climate transition risk in U.S. loan portfolios: Are all banks the same?," International Review of Financial Analysis, Elsevier, vol. 85(C).
- Jérémi Assael & Thibaut Heurtebize & Laurent Carlier & François Soupé, 2023. "Greenhouse Gases Emissions: Estimating Corporate Non-Reported Emissions Using Interpretable Machine Learning," Sustainability, MDPI, vol. 15(4), pages 1-28, February.
- Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & Franc{c}ois Soup'e, 2022. "Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning," Papers 2212.10844, arXiv.org.
- Tian, Yingjie & Wen, Haonan & Guo, Kun, 2025. "Machine learning applications in climate finance: An overview," Research in International Business and Finance, Elsevier, vol. 79(C).
- Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2025. "Geopolitical risk and energy market tail risk forecasting: An explainable machine learning approach," Journal of Commodity Markets, Elsevier, vol. 39(C).
- Zhang, Ditian & Tang, Pan & Tang, Chun & Lai, Xiaobing, 2025. "Interpretable machine learning unveils nonlinear drivers of global energy risk spillovers: A TVP-VAR approach," Economic Modelling, Elsevier, vol. 151(C).
- Théophile Anquetin & Guillaume Coqueret & Bertrand Tavin & Lou Welgryn, 2022. "Scopes of carbon emissions and their impact on green portfolios," Post-Print hal-04144612, HAL.
- Qiao, Sen & Chang, Yuan & Yang, Meng & Dang, Yi Jing, 2025. "Motivation or resistance: A multidimensional analysis of quantile network spillovers between smart grids and carbon markets from a digital technology perspective," Technology in Society, Elsevier, vol. 83(C).
- Popescu, Ioana-Stefania & Gibon, Thomas & Hitaj, Claudia & Rubin, Mirco & Benetto, Enrico, 2023. "Are SRI funds financing carbon emissions? An input-output life cycle assessment of investment funds," Ecological Economics, Elsevier, vol. 212(C).
- David van der Woude & Gilmer Yovani Castro Nieto & Maria Andreina Moros Ochoa & Carolina Llorente Portillo & Anderson Quintero, 2025. "Artificial intelligence in biocapacity and ecological footprint prediction in Latin America and the Caribbean," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(9), pages 22925-22946, September.
- Lee, Gunhee & Bae, Mincheol & Sohn, Joongchan & Han, Chanwoo & Cho, Jinhyung, 2024. "Does voluntary environmental information disclosure prevent stock price crash risk? – Comparative analysis of chaebol and non-chaebol in Korea," Energy Economics, Elsevier, vol. 131(C).
- Yichao Xie & Bowen Zhou & Zhenyu Wang & Bo Yang & Liaoyi Ning & Yanhui Zhang, 2023. "Industrial Carbon Footprint (ICF) Calculation Approach Based on Bayesian Cross-Validation Improved Cyclic Stacking," Sustainability, MDPI, vol. 15(19), pages 1-35, September.
- Cristina Angelico & Enrico Bernardini, 2026. "Can GenAI fill banks' emissions data gaps?," Questioni di Economia e Finanza (Occasional Papers) 1003, Bank of Italy, Economic Research and International Relations Area.
- Provaty, Sagira Sultana & Hasan, Mostafa Monzur & Luo, Le, 2024. "Organization capital and GHG emissions," Energy Economics, Elsevier, vol. 131(C).
- M. Ángeles López‐Cabarcos & Helena Santos‐Rodrigues & Lara Quiñoá‐Piñeiro & Juan Piñeiro‐Chousa, 2023. "How to explain stock returns of utility companies from an environmental, social and corporate governance perspective," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2278-2291, September.
- Shobande, Olatunji A. & Ogbeifun, Lawrence & Apergis, Nicholas, 2024. "Crafting monetary policy beyond low carbon legacy," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 764-781.
- Anquetin, Théophile & Coqueret, Guillaume & Tavin, Bertrand & Welgryn, Lou, 2022. "Scopes of carbon emissions and their impact on green portfolios," Economic Modelling, Elsevier, vol. 115(C).
- Xu, Yingying & Shao, Xuefeng & Tanasescu, Cristina, 2024. "How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers," Energy Economics, Elsevier, vol. 132(C).
- Samuel-Soma M. Ajibade & Muhammed Basheer Jasser & David Olayemi Alebiosu & Ismail Ahmed Al- Qasem Al-Hadi & Ghassan Saleh Al-Dharhani & Farrukh Hassan & Bright Akwasi Gyamfi, 2024. "Uncovering the Dynamics in the Application of Machine learning in Computational Finance: A Bibliometric and Social Network Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 299-315, July.
- M. A. Karim & M. M. Islam & Omid Motamedisedeh, 2025. "Toward Sustainable Performance: The Role of Competence and Quality Practices in Manufacturing," Sustainability, MDPI, vol. 17(10), pages 1-28, May.
- Liu, Xiaoxi & Yuan, Xiaoling & Ye, Nan & Zhang, Rui, 2023. "An intelligent low carbon economy management scheme based on the genetic algorithm enabled replacement recommendation model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
- Ren, Xiaohang & Li, Jingyao & He, Feng & Lucey, Brian, 2023. "Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
- Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & François Soupé, 2023. "Greenhouse gas emissions: estimating corporate non-reported emissions using interpretable machine learning," Post-Print hal-03905325, HAL.
- Düsterhöft, Maximilian & Schiemann, Frank & Walther, Thomas, 2023. "Let’s talk about risk! Stock market effects of risk disclosure for European energy utilities," Energy Economics, Elsevier, vol. 125(C).
- Weixue Lu & Zhaohan Bao & Kai Wang, 2025. "The impact of corporate environmental information disclosure on stock price crash risk——based on the perspectives of institutional investors and financing constraints," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(11), pages 28281-28307, November.
- Porles-Ochoa, Francisco & Guevara, Ruben, 2025. "Clean energy innovation, corporate carbon footprint and profits: Win-win strategic options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
- Efthymia Iliopoulou & Eirini Koronaki & Aspasia Vlachvei & Ourania Notta, 2024. "From Knowledge to Action: The Power of Green Communication and Social Media Engagement in Sustainable Food Consumption," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
- Maximilian Hettler & Lorenz Graf‐Vlachy, 2024. "Corporate scope 3 carbon emission reporting as an enabler of supply chain decarbonization: A systematic review and comprehensive research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 263-282, February.
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