Yangzhou Yaxing Motor Coach Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 05 2021 19:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated Yangzhou Yaxing Motor Coach Co Ltd because market volatility after the COVID-19 outbreak makes it highly uncertain. (We use econometric methods for period (n+1) simulate with Price Linear Regression). Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. 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 Yangzhou Yaxing Motor Coach Co Ltd as of 05 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 Yangzhou Yaxing Motor Coach Co Ltd as below:

Credit Ratings for Yangzhou Yaxing Motor Coach Co Ltd as of 05 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*Baa2B2
Semantic Signals8856
Financial Signals6841
Risk Signals6964
Substantial Risks7650
Speculative Signals8753

*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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