This research analyzes how news sentiment affects not just the target company's stock price, but propagates through its entire supply chain network.

• Positive and negative news impact extends beyond individual firms to their suppliers and clients
• Uses FinBERT, an advanced NLP model fine-tuned for financial text analysis, to measure news sentiment
• Offers insights into financial contagion patterns through global supply chain networks
• Provides valuable data for risk management strategies by mapping how market shocks propagate

For financial analysts and supply chain managers, this research highlights the interconnected nature of market reactions, enabling more sophisticated risk assessments across business networks.

Market Reaction to News Flows in Supply Chain Networks