Corporate Disclosure

Corporate disclosure research focuses on improving the quality, accessibility, and usefulness of information companies release to the public. Current studies leverage advanced natural language processing (NLP) techniques, including transformer models like BERT and specialized variants such as ClimateBert, to analyze textual disclosures for sentiment, relevance, and compliance with reporting frameworks like the TCFD. This work aims to enhance transparency, improve financial forecasting accuracy, and facilitate better investor decision-making by automating the analysis of vast amounts of textual data, ultimately contributing to more efficient and trustworthy financial markets.