Application of text mining to the analysis of climate-related disclosures
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- Andrés Alonso Robisco & José Manuel Carbó Martínez, 2022. "Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
- Alessio Faccia & Francesco Manni & Fabian Capitanio, 2021. "Mandatory ESG Reporting and XBRL Taxonomies Combination: ESG Ratings and Income Statement, a Sustainable Value-Added Disclosure," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
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More about this item
Keywords
sustainability; sustainability data gaps; text mining; TCFD; Taxonomy and Ontology Management;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2020-12-07 (Computational Economics)
- NEP-ENV-2020-12-07 (Environmental Economics)
- NEP-HME-2020-12-07 (Heterodox Microeconomics)
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