|Commercial Credit Risk Model uses Quantitive analysis of text to measure corporate financial health|
|Tuesday, 10 July 2012|
NEW YORK, July 10, 2012 – Thomson Reuters, the world’s leading source of
intelligent information for businesses and professionals, today
announced that it has introduced the first commercial credit risk model
to measure corporate financial health by quantitatively analyzing text.
The StarMine Text Mining Credit Risk Model (TMCR) assesses the credit
risk of publicly traded companies by analyzing the text in various
documents. StarMine TMCR systematically assesses the language in Reuters
news, StreetEvents conference call transcripts, corporate filings and
select broker research reports to predict which firms are likely to come
under financial distress and which are likely to thrive.
The model is a complement to StarMine’s other two credit risk models, the StarMine Structural Credit Risk Model and the StarMine SmartRatios Credit Risk Model. StarMine TMCR builds on Thomson Reuters aims to help professional investment managers generate more profitable investment ideas and mitigate risks, giving them an edge over their peers.
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