BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 09:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:
Rating Model for Servicemaster Global Holdings, Inc.: We estimate the credit risk parameters by Robinson Oscillators and ElasticNet Regression
*Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.
Credit Rating Rationales & Model
Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period.Rating Model for Servicemaster Global Holdings, Inc.: We estimate the credit risk parameters by Robinson Oscillators and ElasticNet Regression
Credit Ratings for Servicemaster Global Holdings, Inc. as of 19 Jan 2022
| Credit Rating | Short-Term | Long-Term Senior |
|---|---|---|
| AI Rating Class* | Ba3 | B2 |
| Semantic Signals | 34 | 37 |
| Financial Signals | 58 | 65 |
| Risk Signals | 77 | 71 |
| Substantial Risks | 74 | 51 |
| Speculative Signals | 74 | 32 |
*Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.