Tasly Pharmaceutical Group Co Ltd Credit Rating

BOSTON (AI Credit Rating Terminal) Fri Jul 24 2020 01:19:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded Tasly Pharmaceutical Group Co Ltd because of capital metrics would not be eroded by any of the following: repayment of government-contributed equity, recognition of any currently unrecognized economic losses, reduction from capital the amount necessary to appropriately capitalize any materially undercapitalized unconsolidated subsidiaries, and reversal of any property valuation adjustment. We use econometric methods for period (n+30) simulate with OCL Stepwise Regression. Reference code is: 2774. Beta DRL value REG 48 Rational Demand Factor LD 4456.0992. If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. 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 Tasly Pharmaceutical Group Co Ltd as below:

Credit Ratings for Tasly Pharmaceutical Group Co Ltd as of 24 Jul 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B3B1
Semantic Signals3543
Financial Signals4735
Risk Signals4566
Substantial Risks7683
Speculative Signals3265

*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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