Key facts for StarMine Text Mining Credit Risk Model
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Overview of StarMine Text Mining Credit Risk Model
Description of the dataset
• LSEG provides the StarMine Text Mining Credit Risk Model to assess corporate financial distress risk using language signals from trusted textual sources. We evaluate content from Reuters News, StreetEvents conference call transcripts, corporate filings and selected broker research reports.
• Our model applies a bag-of-words text mining methodology that analyses the frequency of words and phrases linked to observed credit outcomes. We transform unstructured language into a systematic credit health signal designed to identify companies more likely to weaken or thrive.
• LSEG ranks publicly traded companies on a 1-100 percentile scale, with 100 representing the healthiest companies. We support credit surveillance, equity risk assessment and early-warning workflows by incorporating information that may not be fully captured in traditional financial statement data.
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