no code implementations • 26 Oct 2023 • Alex Kim, Maximilian Muhn, Valeri Nikolaev
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.
no code implementations • 17 Jun 2023 • Alex Kim, Maximilian Muhn, Valeri Nikolaev
Importantly, the summaries are more effective at explaining stock market reactions to the disclosed information.