International Speedway Corp Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 05 2021 19:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Financial Statements Overview & Credit Rating Rationales


We rerated International Speedway Corp because has further large bullet maturities next year and its reliance on alternative financing. (We use econometric methods for period (n+1) simulate with Accumulation Distribution Line Pearson Correlation). While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. 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 International Speedway Corp as of 05 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 International Speedway Corp as below:

Credit Ratings for International Speedway Corp as of 05 Jun 2021


Credit Rating Short-Term Long-Term Senior
AI Rating Class*B2Ba3
Semantic Signals7384
Financial Signals4589
Risk Signals8447
Substantial Risks5339
Speculative Signals3073

*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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