Wuhan Ligong Guangke Co Ltd Credit Rating

BOSTON (AI Credit Rating Terminal) Tue Jun 30 2020 09:49:08 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded Wuhan Ligong Guangke Co Ltd because of business mix, revenue stability, market position, and customer base (confidence sensitivity of clients and other outside commercial parties). In situations where profitability has a material negative impact on market position, this may limit the assessment. We use econometric methods for period (n+30) simulate with Trend Stepwise Regression. Reference code is: 1780. Beta DRL value REG 42 Rational Demand Factor LD 4101.2118. In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. 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 Wuhan Ligong Guangke Co Ltd as below:

Credit Ratings for Wuhan Ligong Guangke Co Ltd as of 30 Jun 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B2B2
Semantic Signals6145
Financial Signals3530
Risk Signals7060
Substantial Risks3376
Speculative Signals7853

*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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