BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 21:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Muscle Maker Inc: We estimate the credit risk parameters by Momentum and Ridge Regression Credit Ratings for Muscle Maker Inc as of 19 Jan 2022 Credit Ratin

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 with Adaptive Moving Average and Multiple Regression. Machine Learning based stock forecast (n+15) for ELSE Electro as below: ELSE Electro Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:ELSE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+15) 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 g

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 with Robinson Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+6m) for ITDCEM ITD Cementation India Limited as below: ITDCEM ITD Cementation India Limited Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:ITDCEM Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+6m) 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 s

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 17:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Long Island Power Authority: We estimate the credit risk parameters by Directional Movement Indicator and Chi-Square Credit Ratings for Long Island Power Authority as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 32 48 Financial Signals 76 59 Risk Signals 70 47

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 16:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Talkweb Information System Co Ltd: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Stepwise Regression Credit Ratings for Talkweb Information System Co Ltd as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 68 79 Financial Signals 63 65 Risk Signals 69 41 Substantial Risks 64 51 Speculative Signals 30 87 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

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 with Anomaly and Stepwise Regression. Machine Learning based stock forecast (n+3m) for BXP Boston Properties as below: BXP Boston Properties Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:BXP Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+3m) If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would includ

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 15:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Balchem Corporation: We estimate the credit risk parameters by Directional Movement Indicator and Chi-Square Credit Ratings for Balchem Corporation as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 58 38 Financial Signals 54 81 Risk Signals 88 90 Substantial Risks 43 48 Speculative Signals 39 73 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In

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 with Ring Oscillators and Simple Regression. Machine Learning based stock forecast (n+7) for DISHTV Dish TV India Limited as below: DISHTV Dish TV India Limited Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:DISHTV Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+7) Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, w

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 14:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for Enel Finance America, LLC: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Ridge Regression Credit Ratings for Enel Finance America, LLC as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 39 55 Financial Signals 56 41 Risk Signals 43 36 Substantial Risks 90 78 Speculative Signals 31 51 *Machine Learning utilizes multiple learning a

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 with Directional Movement Indicator and Spearman Correlation. Machine Learning based stock forecast (n+1y) for JBFIND JBF Industries Limited as below: JBFIND JBF Industries Limited Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:JBFIND Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+1y) 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 geogr

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 13:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for MidSouth Bancorp Common Stock: We estimate the credit risk parameters by Chaikin Oscillator and Independent T-Test Credit Ratings for MidSouth Bancorp Common Stock as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba2 Semantic Signals 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 with Armstrong Oscillator and ANOVA. Machine Learning based stock forecast (n+30) for SOND HIPGNOSIS SONGS FUND LD as below: SOND HIPGNOSIS SONGS FUND LD Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:SOND Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+30) 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. We estimate SOND HIPGNOSIS SONGS FUND LD stock forecast parameters by: Armstrong Oscillator with ANOVA

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 with SMoothed Moving Average (SMMA) and Simple Regression. Machine Learning based stock forecast (n+1y) for DEN Den Networks Limited as below: DEN Den Networks Limited Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:DEN Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+1y) 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. We estimate DEN Den

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 with Hartley Oscillator and Factor. Machine Learning based stock forecast (n+3m) for MMFL MM Forgings Limited as below: MMFL MM Forgings Limited Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:MMFL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+3m) 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 liquidi

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 10:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for SOUTHERN BANK CO: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Spearman Correlation Credit Ratings for SOUTHERN BANK CO as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class*

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 with Cross-Coupled Oscillators and Sign Test. Machine Learning based stock forecast (n+7) for NET NETCALL PLC as below: NET NETCALL PLC Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:NET Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+7) When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 09:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Servicemaster Global Holdings, Inc.: We estimate the credit risk parameters by Robinson Oscillators and ElasticNet Regression Credit Ratings for Servicemaster Global Holdings, Inc. as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 34 3

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 with Tri-tet Oscillators and ElasticNet Regression. Machine Learning based stock forecast (n+7) for GLADL Gladstone Capital Corporation as below: GLADL Gladstone Capital Corporation Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:GLADL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+7) When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate GLADL Gladstone Capital Corporation stock forecast parameters by: Tri-tet Oscillators with ElasticNet Regression

BOSTON (AC Invest Credit Rating Terminal) Wed Jan 19 2022 08:42:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Merus Labs International Inc.: We estimate the credit risk parameters by Envelope (ENV) and Paired T-Test Credit Ratings for Merus Labs International Inc. as of 19 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 31 33 Financial Signals 87 87 Risk Signals 63 74 Substantial Risks 62 49 Speculative Signa

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 with EMR and ANOVA. Machine Learning based stock forecast (n+6m) for FFG FBL Financial Group as below: FFG FBL Financial Group Stock Forecast (Buy or Sell) as of 19 Jan 2022 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:FFG Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 19 Jan 2022 for (n+6m) 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. We estimate FFG FBL Financial Group stock forecast parameters by: EMR with ANOVA