We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent.HML HOLDINGS PLC Assigned Short-Term Baa2 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for HML HOLDINGS PLC: We estimate the credit risk parameters by Robinson Oscillators and Multiple Regression Credit Ratings for HML HOLDINGS PLC as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 60 64 Financial Signals 84 51 Risk Signals 67 51 Substantial Risks 90 38 Speculative Signals 75 72 *Machine Learning u

Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets.NCS Multistage Holdings Inc Assigned Short-Term B3 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for NCS Multistage Holdings Inc: We estimate the credit risk parameters by Psychological Line (PSY) and Linear Regression Credit Ratings for NCS Multistage Holdings Inc as of 05 Mar 2022 Credit Rating Short-Term Long-T

Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity.FIRST NATIONAL BANCSHARES CORPORATION OF FREDONIA Assigned Short-Term B3 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for FIRST NATIONAL BANCSHARES CORPORATION OF FREDONIA: We estimate the credit risk parameters by Chaikin Money Flow and Simple Regression Credit Ratings for FIRST NATIONAL BANCSHARES CORPORATION OF FREDONIA as of 05 Mar 2022

To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets.SOUTHERN BANK Assigned Short-Term B2 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for SOUTHERN BANK: We estimate the credit risk parameters by Psychological Line (PSY) and Pearson Correlation Credit Ratings for SOUTHERN BANK as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 60 83 Financial Signals 38 44 Risk Signals 57 31 Substantial Risks 67 57 Speculative Sig

We do not include potential future debt issuances as a source of liquidity because of the uncertainty of a company's ability to access debt markets in times of financial stress, even for investment-grade issuers. For instance, in the case of a proposed financing, with the intended use of proceeds to repay existing debt, we will assess a company's liquidity excluding the proposed financing until it's obtained or fully underwritten.SALZGITTER AG O.N. Assigned Short-Term B1 & Long-Term B2 Credit Rating. How Does Credit Rating Model Work? Rating Model for SALZGITTER AG O.N.: We estimate the credit risk parameters by Dynatron Oscillators and Wilcoxon Rank-Sum Test Credit Ratings for SALZGITTER AG O.N. as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 57 39 Financial Signals 87 90 Risk Signals 61 70 Substantial Risks 58 38 Speculative Signals 48 38 *Machine Learning utilizes multiple learning algori

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.TELE COLUMBUS AG Assigned Short-Term B1 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for TELE COLUMBUS AG: We estimate the credit risk parameters by Multi-Wave Oscillators and Stepwise Regression Credit Ratings for TELE COLUMBUS AG as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 76 58 Financial Signals 88 72 Risk Signals 48 39 Substantial Risks 51 85 Speculative Signals 42 54 *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 Mod

Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence.Stigler Bancorporation, Inc. Assigned Short-Term B2 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for Stigler Bancorporation, Inc.: We estimate the credit risk parameters by Cross-Coupled Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Stigler Bancorporation, Inc. as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 36 39 Financial Signals 72 75 Risk Signals 74 68 Substantial Risks 59 58 Speculative Signals 34 44 *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

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.Metropolitan Expressway Co Ltd Assigned Short-Term B1 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for Metropolitan Expressway Co Ltd: We estimate the credit risk parameters by Bollinger Bands %B and Ridge Regression Credit Ratings for Metropolitan Expressway Co Ltd as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 72 54 Financial Signals 43 74 Risk Signals 71 72 Substantial Risks 78 57 Speculative Signals 38 57 *Ma

In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity.Jiangsu Lihua Animal Husbandry Co Ltd Assigned Short-Term B2 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for Jiangsu Lihua Animal Husbandry Co Ltd: We estimate the credit risk parameters by Trend and ElasticNet Regression Credit Ratings for Jiangsu Lihua Animal Husbandry Co Ltd as of 05 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 74 58 Financial Signals 34 55 Risk Signals 41 60 Substantial Risks 59 64 Speculative Signals 66 90 *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 Machi

Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets.Diversified Real Asset Income Fund Common Shares of Beneficial Interest Assigned Short-Term Ba3 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for Diversified Real Asset Income Fund Common Shares of Beneficial Interest: We estimate the credit risk parameters by Ratiocator (RAT) and ElasticNet Regression Credit Ratings for Diversif

When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending.Henry Schein, Inc. Assigned Short-Term Ba1 & Long-Term B3 Credit Rating. How Does Credit Rating Model Work? Rating Model for Henry Schein, Inc.: We estimate the credit risk parameters by Keltner Channels and Independent T-Test Credit Ratings for Henry Schein, Inc. as of 04 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B3 Semantic Signals 58 38 Financial Signals 72 41 Risk Signals 87 63 Substantial Risks 64 30 Speculative Signals 74 46 *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 Henry Schein, Inc. Financials: PREMIUM Income

We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances.Hearthside Group Holdings, LLC Assigned Short-Term B1 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for Hearthside Group Holdings, LLC: We estimate the credit risk parameters by Expectation and Pearson Correlation Credit Ratings for Hearthside Group Holdings, LLC as of 04 Mar 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 53 72 Financial Signals 48 80 Risk Signals 83 49 Substantial Risks 74 48 Speculative Signals 40 41 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the