NEW YORK–(BUSINESS WIRE)–#creditratingagency–KBRA releases research presenting data and observations to help frame the potential risks artificial intelligence (AI) may pose to the direct lending landscape, in the context of recent market volatility.
The analysis focuses on underlying middle market (MM) borrowers whose loans are held in MM collateralized loan obligations, business development companies (BDC), rated feeder notes into direct lending funds, and recurring revenue loan asset-backed securities. Unlike research that relies on “as reported” sector classifications and debt totals, this report leverages KBRA’s access to years of financial statements, lender investment memoranda, and credit agreements for more than 2,400 sponsor-backed MM companies in its assessment portfolio. This proprietary dataset enables KBRA to determine industry classifications, financial performance, and debt levels with greater precision.
Even with this level of precision, the software sector remains highly heterogeneous, making broad, sector-wide stress assumptions inappropriate. Instead, credit analysis should focus on each company’s specific end markets, competitive position, and defensibility.
Key Takeaways
Click here to view the report.
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KBRA, one of the major credit rating agencies, is registered in the U.S., EU, and the UK. KBRA is recognized as a Qualified Rating Agency in Taiwan, and is also a Designated Rating Organization for structured finance ratings in Canada. As a full-service credit rating agency, investors can use KBRA ratings for regulatory capital purposes in multiple jurisdictions.
Doc ID: 1013365
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