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Showing posts from February 20, 2022

Nippon Prologis REIT Inc Assigned Short-Term B2 & Long-Term Baa2 Credit Rating

Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period.Nippon Prologis REIT Inc Assigned Short-Term B2 & Long-Term Baa2 Credit Rating. How Does Credit Rating Model Work? Rating Model for Nippon Prologis REIT Inc: We estimate the credit risk parameters by Volume + Moving Average and ElasticNet Regression Credit Ratings for Nippon Prologis REIT Inc as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 47 90 Financial Signals 84 81 Risk Signals 45 48 Substantial Risks 58 88 Speculative Signals 31 83

Jason Incorporated Assigned Short-Term B3 & Long-Term B2 Credit Rating

In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash.Jason Incorporated Assigned Short-Term B3 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for Jason Incorporated: We estimate the credit risk parameters by Colpitts Oscillator and Stepwise Regression Credit Ratings for Jason Incorporated as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 39 50 Financial Signals 30 32 Risk Signals 82 63 Substantial Risks 68 87 Speculative Signals 35 38 *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 Networ

ArtGreen Co Ltd Assigned Short-Term B2 & Long-Term Baa2 Credit Rating

We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow.ArtGreen Co Ltd Assigned Short-Term B2 & Long-Term Baa2 Credit Rating. How Does Credit Rating Model Work? Rating Model for ArtGreen Co Ltd: We estimate the credit risk parameters by Ratiocator (RAT) and Polynomial Regression Credit Ratings for ArtGreen Co Ltd as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 83 84 Financial Signals 55 81 Risk Signals 46 86 Substantial Risks 48 60 Speculative Signals 40 63 *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.Take a look at: How Does Credit Rating Model Work? Financial Analysis for

STARVEST PLC Assigned Short-Term Caa2 & Long-Term B1 Credit Rating

When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes.STARVEST PLC Assigned Short-Term Caa2 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for STARVEST PLC: We estimate the credit risk parameters by KDJ and Independent T-Test Credit Ratings for STARVEST PLC as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B1 Semantic Signals 75 71 Financial Signals 34 51 Risk Signals 35 48 Substantial Risks 45 65 Speculative Signals 38 55 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combin

TRADITIONAL BANCORPORATION, INC. Assigned Short-Term B1 & Long-Term B1 Credit Rating

Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments.TRADITIONAL BANCORPORATION, INC. Assigned Short-Term B1 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for TRADITIONAL BANCORPORATION, INC.: We estimate the credit risk parameters by Trend and Linear Regression Credit Ratings for TRADITIONAL BANCORPORATION, INC. as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 42 73 Financial Signals 61 43 Risk Signals 83 65 Substantial Risks 59 33 Speculative Signals 52 85 *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.Take a look at:

The First National Bank in Cooper Assigned Short-Term B2 & Long-Term Ba2 Credit Rating

In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment.The First National Bank in Cooper Assigned Short-Term B2 & Long-Term Ba2 Credit Rating. How Does Credit Rating Model Work? Rating Model for The First National Bank in Cooper: We estimate the credit risk parameters by Electron Coupled Oscillators and Sign Test Credit Ratings for The First National Bank in Cooper as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 77 76 Financial Signals 47 77 Risk Signals 34 83 Substantial Risks 41 77 Speculative Signals

Fort Dearborn Holding Company, Inc. Assigned Short-Term Ba2 & Long-Term B2 Credit Rating

When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending.Fort Dearborn Holding Company, Inc. Assigned Short-Term Ba2 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for Fort Dearborn Holding Company, Inc.: We estimate the credit risk parameters by Price Channels and Wilcoxon Sign-Rank Test Credit Ratings for Fort Dearborn Holding Company, Inc. as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B2 Semantic Signals 67 41 Financial Signals 38 40 Risk Signals 80 70 Substantial Risks 69 61 Speculative Signals 87 49 *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.Take a look at: How Does Credit Rating Model Work? Financial Analysi

SPL.MEDIEN AG O.N. Assigned Short-Term B2 & Long-Term Ba3 Credit Rating

For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above.SPL.MEDIEN AG O.N. Assigned Short-Term B2 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for SPL.MEDIEN AG O.N.: We estimate the credit risk parameters by Pearson-Anson Oscillators and Linear Regression Credit Ratings for SPL.MEDIEN AG O.N. as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 54 80 Financial Signals 39 51 Risk Signals 76 61 Substantial Risks 57 90 Speculative Signals 60 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine

Capital Product Partners L.P. Assigned Short-Term Caa2 & Long-Term Baa2 Credit Rating

Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario.Capital Product Partners L.P. Assigned Short-Term Caa2 & Long-Term Baa2 Credit Rating. How Does Credit Rating Model Work? Rating Model for Capital Product Partners L.P.: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Polynomial Regression Credit Ratings for Capital Product Partners L.P. as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 Baa2 Semantic Signals 54 80 Financial Signals 72 80 Risk Signals 31 79 Substantial Risks 30 84 Speculative Signals 35 59 *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 M

Michigan State University Assigned Short-Term Ba3 & Long-Term Baa2 Credit Rating

We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow.Michigan State University Assigned Short-Term Ba3 & Long-Term Baa2 Credit Rating. How Does Credit Rating Model Work? Rating Model for Michigan State University: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Independent T-Test Credit Ratings for Michigan State University as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 46 89 Financial Signals 36 58 Risk Signals 80 84 Substantial Risks 82 47 Speculative Signals 90 85 *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.Take a look at: How Does Credit

PotNetwork Holdings Inc Assigned Short-Term B1 & Long-Term Ba3 Credit Rating

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.PotNetwork Holdings Inc Assigned Short-Term B1 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for PotNetwork Holdings Inc: We estimate the credit risk parameters by Meissner Oscillators and Sign Test Credit Ratings for PotNetwork Holdings Inc as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 52 71 Financial Signals 54 31 Risk Signals 77 70 Substantial Risks 79 66 Speculative Signals 42 88 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers

Indiana Gas Company, Inc. Assigned Short-Term Ba3 & Long-Term B1 Credit Rating

For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle.Indiana Gas Company, Inc. Assigned Short-Term Ba3 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for Indiana Gas Company, Inc.: We estimate the credit risk parameters by Price Oscillator (PPO) and Lasso Regression Credit Ratings for Indiana Gas Company, Inc. as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Sign

MFS High Income Municipal Trust Common Stock Assigned Short-Term B2 & Long-Term B1 Credit Rating

Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns.MFS High Income Municipal Trust Common Stock Assigned Short-Term B2 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for MFS High Income Municipal Trust Common Stock: We estimate the credit risk parameters by EMR and Multiple Regression Credit Ratings for MFS High Income Municipal Trust Common Stock as of 21 Feb 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 53 85 Financial Signals 53 67 Risk Signals 39 30 Substantial Risks 74 50 Speculative Signals 49 72 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we ut