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Found 6 papers, 1 papers with code
Corporate Bankruptcy Prediction with BERT Model
This study performs BERT-based analysis, which is a representative contextualized language model, on corporate disclosure data to predict impending bankruptcies.
Corporate Bankruptcy Prediction with Domain-Adapted BERT
This study performs BERT-based analysis, which is a representative contextualized language model, on corporate disclosure data to predict impending bankruptcies.
Detecting Rumor Veracity with Only Textual Information by Double-Channel Structure
Our ultimate goal is to classify each rumor into true, false, or unverifiable category.
From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
Using the GPT 3. 5 model to generate risk summaries and assessments from the context provided by earnings call transcripts, we show that GPT-based measures possess significant information content and outperform the existing risk measures in predicting (abnormal) firm-level volatility and firms' choices such as investment and innovation.
Bloated Disclosures: Can ChatGPT Help Investors Process Information?
Importantly, the summaries are more effective at explaining stock market reactions to the disclosed information.
Science-Driven Optimization of the LSST Observing Strategy
The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky and over ten years of repeated observation.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
