BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 10:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for National Association of Credit Management, Inc.: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and ANOVA Credit Ratings for National Association of Credit Management, Inc. as of 22 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Sema

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 Price Channels and Ridge Regression. Machine Learning based stock forecast (n+6m) for ATT ALLIANZ TECHNOLOGY TRUST PLC as below: ATT ALLIANZ TECHNOLOGY TRUST PLC Stock Forecast (Buy or Sell) as of 22 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 % LON:ATT Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+6m) In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate ATT ALLIANZ TECHNOLOGY TRUST PLC stock forecast parameters by: Price Channels with Ridge Regression

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 09:42:02 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 Imamura Securities Co Ltd: We estimate the credit risk parameters by EMR and Beta Credit Ratings for Imamura Securities Co Ltd as of 22 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 82 85 Financial Signals 55 59 Risk Signals 78 59 Substantial Risks 36 82 Speculative Signals 31 90 *Machine Learning utilizes multiple learning algorithms to obtain better predicti

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 Simple Moving Average (SMA) and Polynomial Regression. Machine Learning based stock forecast (n+3m) for DSL DoubleLine Income Solutions Fund as below: DSL DoubleLine Income Solutions Fund Stock Forecast (Buy or Sell) as of 22 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:DSL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+3m) 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 DSL DoubleLine Income Solutions Fund stock forecast param

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 08:42:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Tingyi: We estimate the credit risk parameters by Dynatron Oscillators and Pearson Correlation Credit Ratings for Tingyi as of 22 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 37 64 Financial Signals 89 79 Risk Signals 85 41 Substantial Risks 37 89 Speculative Signals 41 83 *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.

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 Chi-Square. Machine Learning based stock forecast (n+7) for ASAHIINDIA Asahi India Glass Limited as below: ASAHIINDIA Asahi India Glass Limited Stock Forecast (Buy or Sell) as of 22 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:ASAHIINDIA Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+7) 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 credi

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 07:42:01 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 Western Alliance Bancorporation: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Polynomial Regression Credit Ratings for Western Alliance Bancor

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 Relative Strength Index (RSI) and ElasticNet Regression. Machine Learning based stock forecast (n+6m) for SABR Sabre Corporation as below: SABR Sabre Corporation Stock Forecast (Buy or Sell) as of 22 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 % NASDAQ:SABR Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+6m) Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liq

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 06:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for TAKACHIHO KOHEKI CO., LTD.: We estimate the credit risk parameters by Ratiocator (RAT) and Polynomial Regression Credit Ratings for TAKACHIHO KOHEKI CO., LTD. as of 22 Jan 2022 Credit Rating Short-Te

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 Money Flow Index (MFI) and Independent T-Test. Machine Learning based stock forecast (n+3m) for HNI HNI Corporation as below: HNI HNI Corporation Stock Forecast (Buy or Sell) as of 22 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:HNI Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+3m) Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past down

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 05:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for CTI BioPharma Corp.: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Wilcoxon Rank-Sum Test Credit Ratings for CTI BioPharma Corp. as of 22 Jan 2022 Credit Rating Sho

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 Rating and ANOVA. Machine Learning based stock forecast (n+3m) for CRNC Cerence Inc. as below: CRNC Cerence Inc. Stock Forecast (Buy or Sell) as of 22 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 % NASDAQ:CRNC Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+3m) The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. We estimate CRNC Cerence Inc. stock forecast parameters by: Rating 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 Adaptive Moving Average and Sign Test. Machine Learning based stock forecast (n+30) for LSAC LifeSci Acquisition Corp. as below: LSAC LifeSci Acquisition Corp. Stock Forecast (Buy or Sell) as of 22 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 % NASDAQ:LSAC Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+30) 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 estimat

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 01:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for Meadowbrook Insurance Group, Inc. Common Stock: We estimate the credit risk parameters by Robinson Oscillators and Paired T-Test Credit Ratings for Meadowbrook Insurance Group, Inc.

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 Keltner Channels and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+30) for LOGM LogMeIn as below: LOGM LogMeIn Stock Forecast (Buy or Sell) as of 22 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 % NASDAQ:LOGM Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 22 Jan 2022 for (n+30) To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral wor

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 00:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for SAWYER SAVINGS BANK: We estimate the credit risk parameters by Bollinger Bands and Simple Regression Credit Ratings for SAWYER SAVINGS BANK as of 22 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 70 51 Financial Signals 57 61 Risk Signals 65 39 Substantial Risks 89 57 Speculative Signals 39 61 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize mach

BOSTON (AC Invest Credit Rating Terminal) Fri Jan 21 2022 23:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Sac's Bar Holdings Inc: We estimate the credit risk parameters by RC Phase Shift Oscillator and ElasticNet Regression Credit Ratings for Sac's Bar Holdings Inc as of 21 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B3 Semantic Signals 31 53 Financial Signals 77 45 Risk Signals 35 31 Substantial Risks 63 65 Speculative Signals 84 34 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from th

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 Simple Regression. Machine Learning based stock forecast (n+1y) for HAS Hasbro as below: HAS Hasbro Stock Forecast (Buy or Sell) as of 21 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 % NASDAQ:HAS Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Jan 2022 for (n+1y) 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

BOSTON (AC Invest Credit Rating Terminal) Fri Jan 21 2022 22:42:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for CIVISTA BANK: We estimate the credit risk parameters by Ratiocator (RAT) and Polynomial Regression Credit Ratings for CIVISTA BANK as of 21 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 Baa2 Semantic Signals 46 53 Financial Signals 46 60 Risk Signals 31 74 Substantial Risks 70 87 Speculative Signals 30 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 Vect

BOSTON (AC Invest Credit Rating Terminal) Fri Jan 21 2022 21:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Uranium Resources, Inc.: We estimate the credit risk parameters by Price Oscillator (PPO) and Independent T-Test Credit Ratings for Uranium Resources, Inc. as of 21 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 65 31 Financial Signals 56 46 Risk Signals 66 55 Substantial Risks 51 43 Speculative Signals 51 33 *Machine Learning utilizes multiple

BOSTON (AC Invest Credit Rating Terminal) Fri Jan 21 2022 20:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for ELMOS SEMICONDUCTOR AG: We estimate the credit risk parameters by Tuned Collector Oscillator and Factor Credit Ratings for ELMOS SEMICONDUCTOR AG as of 21 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 85 60 Financial Signals 35 46 Risk Signals 37 35 Substantial Risks 53 43 Speculative Signals 64 49 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers.

BOSTON (AC Invest Credit Rating Terminal) Fri Jan 21 2022 19:42:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. Rating Model for People's Insurance Group of China Co Ltd: We estimate the credit risk parameters by Gunn Oscillator and Stepwise Regression Credit Ratings for People's Insurance Group of China Co Ltd as of 21 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Baa2 Semantic Signal

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 Crystal Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+6m) for GMAB Genmab A/S as below: GMAB Genmab A/S Stock Forecast (Buy or Sell) as of 21 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 % NASDAQ:GMAB Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Jan 2022 for (n+6m) Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. We estimate GMAB Genmab A/S stock forecast parameters by: Crystal Oscil