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G-III Apparel Group, Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Mon Jun 07 2021 04:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated G-III Apparel Group, Ltd. because Incremental risk charge, comprehensive risk measure. (We use econometric methods for period (n+7) simulate with Momentum Polynomial Regression). While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. 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.

Risk Heat Map for G-III Apparel Group, Ltd. as of 07 Jun 2021


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 G-III Apparel Group, Ltd. as below:

Credit Ratings for G-III Apparel Group, Ltd. as of 07 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*Caa2B1
Semantic Signals3431
Financial Signals5163
Risk Signals3889
Substantial Risks3264
Speculative Signals5743

*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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Disclaimers: AC Investment Inc. currently does not act as an equities executing broker, credit rating agency or route orders containing equities securities. In our Machine Learning experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.The rating information provided is for informational, non-commercial purposes only, does not constitute investment advice and is subject to conditions available in our Legal Disclaimer. Usage as a credit rating or as a benchmark is not permitted.

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