Enjoyor Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sun Jun 06 2021 12:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated Enjoyor Co Ltd because of the risk or unstable nature of the firm's mix of business, some aspect of the firm's market position, customer confidence sensitivity, or expected revenue stability are materially weaker than average, or represent substantial risk beyond risks captured in the anchor. (We use econometric methods for period (n+1) simulate with Heikin-Ashi ElasticNet Regression). Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. 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 Enjoyor Co Ltd as of 06 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 Enjoyor Co Ltd as below:

Credit Ratings for Enjoyor Co Ltd as of 06 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B1B1
Semantic Signals8353
Financial Signals3437
Risk Signals7884
Substantial Risks4039
Speculative Signals6987

*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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