Quantifying ESG Scores Using BERT: A Textual Analysis of 10-K Filings and Their Impact on Stock Market Performance

Additional Metadata
Keywords	ESG, 10K, Textual Analysis, BERT, Stock Performance, Mixed model, MSCI ESG
Thesis Advisor	Bongaerts, Dion, van Daalen, Roger
Persistent URL	hdl.handle.net/2105/75158
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Li, Yanbo. (2024, August 22). Quantifying ESG Scores Using BERT: A Textual Analysis of 10-K Filings and Their Impact on Stock Market Performance. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/75158

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