FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model

arXiv:2403.02647v1 Announce Type: new
Abstract: The task of stock earnings forecasting has received considerable attention due to the demand investors in real-world scenarios. However, compared with financial institutions, it is not easy for ordinary investors to mine factors and analyze news. On the other hand, although large language models in the financial field can serve users in the form of dialogue robots, it still requires users to have financial knowledge to ask reasonable questions. To serve the user experience, we …

abstract analyze arxiv attention cs.ai cs.cl demand earnings easy financial financial institutions forecasting investors language language models large language large language models mine ordinary stock type via world