Abstract
This paper examines the potential of ChatGPT, a large language model, as a financial advisor for listed firm performance forecasts. We focus on the constituent stocks of the China Securities Index 300 and compare ChatGPT’s forecasts for major financial performance measures with human analysts’ forecasts and the realised values. Our findings suggest that ChatGPT can correct the optimistic biases of human analysts. This study contributes to the literature by exploring the potential of ChatGPT as a financial advisor and demonstrating its role in reducing human biases in financial decision-making.
| Original language | English |
|---|---|
| Pages (from-to) | 20-33 |
| Number of pages | 14 |
| Journal | Economic and Political Studies |
| Volume | 12 |
| Issue number | 1 |
| Early online date | 23 Nov 2023 |
| DOIs | |
| Publication status | Published - 2 Jan 2024 |
Keywords
- ChatGPT
- analyst forecast
- human–machine interaction
- large language models
- optimistic biases
ASJC Scopus subject areas
- Sociology and Political Science
- Economics and Econometrics
- Political Science and International Relations
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