Thomson Reuters Launches First Commercial Credit Risk Model

Posted by Joachim Bartels | Jul 11, 2012 | Analytics, Business Information, Business Intelligence, Credit Information, Credit Scoring & Decision System, Platforms / Workflow Tools, Thomson Reuters, United Kingdom, United States | 0 |

The model increases accuracy in predicting which firms most/least likely to come under financial distress

Thomson Reuters, 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.

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Joachim Bartels

Joachim C Bartels is a co-founder, director, head of information resources and Editor-in-Chief of BIIA. In his capacity as Editor-in-Chief he is responsible for the selection of relevant information content concerning industry insights, trends, technological developments, standards and policies impacting BIIA members in particular and the business information industry in general.

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