Nagaoka International Corp Credit Rating

BOSTON (AI Credit Rating Terminal) Sun Aug 02 2020 03:19:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded Nagaoka International Corp 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+1) simulate with Ring Oscillators Wilcoxon Rank-Sum Test. Reference code is: 3378. Beta DRL value REG 31 Rational Demand Factor LD 4359.9024. In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. 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 Nagaoka International Corp as below:

Credit Ratings for Nagaoka International Corp as of 02 Aug 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B2B2
Semantic Signals5653
Financial Signals4157
Risk Signals4478
Substantial Risks6137
Speculative Signals7637

*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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