BlackRock Multi Credit Rating

BOSTON (AI Credit Rating Terminal) Sat Aug 01 2020 03:49:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview

We downgraded BlackRock Multi because of strategic positioning, operational performance, organizational effectiveness, risk and financial management, and governance. We use econometric methods for period (n+30) simulate with Wien Bridge Oscillator Wilcoxon Rank-Sum Test. Reference code is: 2367. Beta DRL value REG 48 Rational Demand Factor LD 4359.9024. The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. 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 BlackRock Multi as below:

Credit Ratings for BlackRock Multi as of 01 Aug 2020

Credit Rating Short-Term Long-Term Senior
AI Rating Class*Ba2B1
Semantic Signals6049
Financial Signals5537
Risk Signals7735
Substantial Risks7785
Speculative Signals8072

*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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