Can news headlines improve financial distressed firms prediction Comparison of different machine learning results

Key Points

• The research aims to evaluate how news headlines can be utilized to predict financial distress in firms using machine learning techniques.
• Comparison of various machine learning algorithms
• Analysis of data from news headlines
• Evaluation of predictive accuracy
• Certain machine learning models demonstrated improved predictive performance
• News headlines offer valuable insights for predicting financial distress
• Enhanced prediction accuracy can aid in identifying at-risk firms

Abstract