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RiskLabs: LLMs for Financial Risk Prediction by fenisha.glsbca21 is a document available to read on EtoBox.

The document presents RiskLabs, a novel framework that utilizes large language models (LLMs) to predict financial risks by integrating various data sources, including earnings conference calls, market time series, and contextual news. It addresses the gap in existing research on financial risk prediction by employing a multi-stage process that enhances the accuracy of forecasting volatility and variance in financial markets. The framework

Author
fenisha.glsbca21
Language
EN