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Intercontinental Exchange Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jun 17 2021 14:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated Intercontinental Exchange Inc. Common Stock because of core capital, as measured by adjusted common equity, comprises more than 90% of the TAC, or double leverage is less than 90%. (We use econometric methods for period (n+7) simulate with SMoothed Moving Average (SMMA) Paired T-Test). When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. 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 Intercontinental Exchange Inc. Common Stock as of 17 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 Intercontinental Exchange Inc. Common Stock as below:

Credit Ratings for Intercontinental Exchange Inc. Common Stock as of 17 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B3Ba1
Semantic Signals3586
Financial Signals6369
Risk Signals3748
Substantial Risks8785
Speculative Signals3062

*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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