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Zhejiang Huahai Pharmaceutical Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Fri Jun 04 2021 10:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated Zhejiang Huahai Pharmaceutical Co., Ltd. because of idealized loss rates for particular credit risk assets from a substantial economic stress in developed markets. (We use econometric methods for period (n+7) simulate with Dynatron Oscillators Stepwise Regression). Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. 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 Zhejiang Huahai Pharmaceutical Co., Ltd. as of 04 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 Zhejiang Huahai Pharmaceutical Co., Ltd. as below:

Credit Ratings for Zhejiang Huahai Pharmaceutical Co., Ltd. as of 04 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B3B1
Semantic Signals4782
Financial Signals7132
Risk Signals4088
Substantial Risks3156
Speculative Signals6331

*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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