Narratives from GPT-derived networks of news and a link to financial markets dislocations
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View abstract on PubMed
Summary
This summary is machine-generated.We developed a new method using GPT-3.5 and graph theory to analyze economic news narratives. This framework reveals how topic structures correlate with financial market volatility, offering insights for investment strategies and risk monitoring.
Area Of Science
- Computational Social Science
- Natural Language Processing
- Financial Econometrics
Background
- Traditional news analysis often relies on basic sentiment scoring.
- Understanding the dynamic evolution of economic narratives is crucial for financial markets.
- Existing methods may not capture the complex relationships between news topics and market behavior.
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