TerraForm Power Operating LLC Credit Rating

BOSTON (AI Credit Rating Terminal) Sun Aug 02 2020 19:19:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded TerraForm Power Operating LLC because the liabilities' resolution-driven default is unlikely because of all of the following: The type of liability is earmarked in the resolution framework for potential exclusion from bail-in at the discretion of the national regulator, other creditors in our view are unlikely to legally challenge such an exclusion. We use econometric methods for period (n+1) simulate with Bollinger Bands %B Wilcoxon Rank-Sum Test. Reference code is: 2986. Beta DRL value REG 44 Rational Demand Factor LD 4359.9024. If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning.Oscillators are used for generating credit risk signals by using the semantic and financial signals. The value of the oscillators indicate the strength of trend. Using the correlation matrices, the credit rating risk map for TerraForm Power Operating LLC as below:

Credit Ratings for TerraForm Power Operating LLC as of 02 Aug 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B3B1
Semantic Signals9065
Financial Signals3868
Risk Signals3481
Substantial Risks4039
Speculative Signals4930

*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.
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