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 Delay-Line Oscillators and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for VGI Virtus Global Multi as below: VGI Virtus Global Multi Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:VGI Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+1y) 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 liqu

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 Factor. Machine Learning based stock forecast (n+1y) for APOLLOHOSP Apollo Hospitals Enterprise Limited as below: APOLLOHOSP Apollo Hospitals Enterprise Limited Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:APOLLOHOSP Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+1y) 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 APOLLOHOSP Apollo Hospitals Enterprise Limited stock forecast parameters by: Rating with Fac

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 Commodity Channel Index and Spearman Correlation. Machine Learning based stock forecast (n+3m) for NILASPACES Nila Spaces Limited as below: NILASPACES Nila Spaces Limited Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:NILASPACES Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+3m) For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guara

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 Pearson-Anson Oscillators and Sign Test. Machine Learning based stock forecast (n+6m) for COS COLLAGEN SOLUTIONS PLC as below: COS COLLAGEN SOLUTIONS PLC Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:COS Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+6m) 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 comp

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 16 2021 09:07:02 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 Ohio Power Co: We estimate the credit risk parameters by Demand and Ridge Regression Credit Ratings for Ohio Power Co as of 16 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 43 53 Financial Signals 77 60 Risk Signals 47 81 Substantial Risks 80

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 and Beta. Machine Learning based stock forecast (n+3m) for GILLETTE Gillette India Limited as below: GILLETTE Gillette India Limited Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:GILLETTE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+3m) 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. We estimate GILLETTE Gillette India Limit

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 Penetration and Factor. Machine Learning based stock forecast (n+7) for DISH DISH Network Corporation as below: DISH DISH Network Corporation Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:DISH Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+7) 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 DISH DISH Network Corporation stock forecast parameters by: P

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+6m) for MNRO Monro as below: MNRO Monro Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:MNRO Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+6m) 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

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 Paired T-Test. Machine Learning based stock forecast (n+15) for ORIENTABRA Orient Abrasives Limited as below: ORIENTABRA Orient Abrasives Limited Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:ORIENTABRA Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+15) 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 downgrad

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 FS and ElasticNet Regression. Machine Learning based stock forecast (n+15) for CDFF CARDIFF PROPERTY PLC as below: CDFF CARDIFF PROPERTY PLC Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:CDFF Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+15) 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-investmen

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 Colpitts Oscillator and Spearman Correlation. Machine Learning based stock forecast (n+7) for PRNB Principia Biopharma Inc. as below: PRNB Principia Biopharma Inc. Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:PRNB Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+7) 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 excl

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 Ichimoku Cloud (IKH) and Sign Test. Machine Learning based stock forecast (n+15) for AROGRANITE Aro Granite Industries Limited as below: AROGRANITE Aro Granite Industries Limited Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:AROGRANITE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+15) 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. We estimate AROGRANITE Aro Granite Industries Limited stock forecast para

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 Expectation and Beta. Machine Learning based stock forecast (n+7) for KRM KRM22 PLC as below: KRM KRM22 PLC Stock Forecast (Buy or Sell) as of 16 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:KRM Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 16 Dec 2021 for (n+7) 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 KRM KRM22 PLC stock forecast parameters by: Expectation with Beta

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 Wien Bridge Oscillator and Wilcoxon Sign-Rank Test. 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 16 Dec 2021 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: 16 Dec 2021 for (n+6m) 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. We estimate ATT ALLIANZ TECHNOLOGY TRUST PLC stock forecast parameters by: Wien Br