mlsanityData to 14 Oct 2026

Stress index strategy enhanced with financial news sentiment analysis for the equity markets

arXiv 2404.00012 ↗First posted 12 Mar 2024q-fin.ST cs.AI cs.CLcited by 2

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Abstract (arXiv)

This paper introduces a new risk-on risk-off strategy for the stock market, which combines a financial stress indicator with a sentiment analysis done by ChatGPT reading and interpreting Bloomberg daily market summaries. Forecasts of market stress derived from volatility and credit spreads are enhanced when combined with the financial news sentiment derived from GPT-4. As a result, the strategy shows improved performance, evidenced by higher Sharpe ratio and reduced maximum drawdowns. The improved performance is consistent across the NASDAQ, the S&P 500 and the six major equity markets, indicating that the method generalises across equities markets.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 48 references that are in the map. First posted on arXiv 12 Mar 2024.

Builds on

7 of 48 references.

References · 7

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019FinBERT: Financial Sentiment Analysis with Pre-trained Language Modelscited by 385
  3. 2018Deep Learning for Sentiment Analysis : A Surveycited by 139
  4. 2023Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Modelscited by 129
  5. 2023Accuracy and Political Bias of News Source Credibility Ratings by Large Language Modelscited by 25
  6. 2018Practical Text Classification With Large Pre-Trained Language Modelscited by 24
  7. 2024Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps?cited by 2

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.