NewsEdge™ Credit

News breaks around the clock and around the globe in a constant stream of content vying for your attention on your devices and desktop.  This makes it hard to keep track of what is relevant, yet news can provide insights on company related credit quality months before actual major credit events occur.   That's why NewsEdge Credit is a great complement to your risk management strategies.  News reporting or even speculation on bankruptcy, financial default, profit adjustments and compliance issues can impact credit risk helping businesses to make informed decisions for the long term.  

Our data analyts have been collecting and studying credit events to develop and train machine-learning algorithms to interpret negative credit events in the news for many years.  Using several deep-learning and text-analytics techniques, our models capture context and determine the sentiment of a credit event as credit adverse or negative. 

We model five credit risk categories including bankruptcy or insolvency, default or missed payments, credit rating downgrades, profit warnings, and compliance issues.  For each credit risk category, we instantly assess credit events in the news and corresponding sentiment, and apply a proprietary entity scoring formula known as the Moody's Analytics Credit Risk Sentiment Score™, or CSS.