With more than two million articles from over 150,000 sources crossing the Bloomberg news wires on a daily basis, there is enough data to spot market trends, winners, losers, and anomalies. Consider also readership statistics, which add another meta-data layer of analysis to every news article published and read on the Bloomberg platform.
Join us for a training session in Bloomberg news analytics functions and learn how you can incorporate them into your classes. By the end of this presentation, you will understand how to
• Find aggregated data on news and social media readership and publication count.
• Use these insights to extract statistics and spot market anomalies.
• Measure news sentiment on a portfolio of securities and assess whether certain securities move with the market, or against it.
• Chart the sentiment evolution for a single security over time and measure the tangible impact of major news events.

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