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News sentiment influences cryptocurrency market behavior. Increased positive news correlates with reduced return dispersion, indicating greater investor agreement and market convergence.

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Area of Science:

  • Financial Markets
  • Behavioral Finance
  • Computational Social Science

Background:

  • The cryptocurrency market exhibits unique volatility and investor behavior.
  • Understanding the impact of external information, like news sentiment, is crucial for market analysis.
  • Existing literature often overlooks the nuanced relationship between news tone and collective trader actions.

Purpose of the Study:

  • To investigate the relationship between news-driven sentiments and behavioral convergence in the cryptocurrency market.
  • To explore the novel connection between the tone of news articles and cryptocurrency returns dispersion.
  • To quantify how market sentiment, derived from global news, relates to traders' collective actions.

Main Methods:

  • Utilized a worldwide online news dataset to calculate average daily sentiment scores as a proxy for market humor.
  • Employed Cross-sectional Standard Deviation (CSSD) and Cross-sectional Absolute Deviation (CSAD) to measure returns dispersion.
  • Analyzed the correlation between sentiment scores and measures of returns variability.

Main Results:

  • Sentiment shifts, both positive and negative, were found to significantly shape returns variability in the cryptocurrency market.
  • An increase in the positivity of news sentiment was associated with a decrease in returns dispersion.
  • This suggests that positive news fosters a convergence of investor beliefs and actions.

Conclusions:

  • News sentiment is a significant factor influencing cryptocurrency market dynamics and investor behavior.
  • Positive news sentiment leads to greater convergence in trader behavior, reducing return dispersion.
  • The findings contribute to understanding how information diffusion impacts financial market predictability and stability.