Morgan Stanley Capital Group Inc. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sun Jun 06 2021 11:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated Morgan Stanley Capital Group Inc. because has further large bullet maturities next year and its reliance on alternative financing. (We use econometric methods for period (n+1) simulate with Clapp Oscillators Polynomial Regression). To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. 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 Morgan Stanley Capital Group Inc. as of 06 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 Morgan Stanley Capital Group Inc. as below:

Credit Ratings for Morgan Stanley Capital Group Inc. as of 06 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B1Ba3
Semantic Signals8690
Financial Signals5537
Risk Signals8973
Substantial Risks3261
Speculative Signals3255

*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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