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 Chaikin Money Flow and Stepwise Regression. Machine Learning based stock forecast (n+3m) for AFN ADVFN PLC as below: AFN ADVFN PLC Stock Forecast (Buy or Sell) as of 21 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 % LON:AFN Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+3m) 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 assum

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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+30) for FPXE First Trust IPOX Europe Equity Opportunities ETF as below: FPXE First Trust IPOX Europe Equity Opportunities ETF Stock Forecast (Buy or Sell) as of 21 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:FPXE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+30) 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

BOSTON (AC Invest Credit Rating Terminal) Tue Dec 21 2021 09:07:01 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Deciphera Pharmaceuticals Inc: We estimate the credit risk parameters by Stochastic Oscillator and Logistic Regression Credit Ratings for Deciphera Pharmaceuticals Inc as of 21 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 34 78 Financial Signals 5

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 Demand and Factor. Machine Learning based stock forecast (n+7) for KAPSTON Kapston Facilities Management Limited as below: KAPSTON Kapston Facilities Management Limited Stock Forecast (Buy or Sell) as of 21 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 % NSE:KAPSTON Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+7) 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

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 Multiple Regression. Machine Learning based stock forecast (n+30) for MS Morgan Stanley as below: MS Morgan Stanley Stock Forecast (Buy or Sell) as of 21 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:MS Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+30) If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regar

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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for USAK USA Truck as below: USAK USA Truck Stock Forecast (Buy or Sell) as of 21 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 % NASDAQ:USAK Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+3m) 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. We estimate USA

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 Oscillator (PPO) and Logistic Regression. Machine Learning based stock forecast (n+15) for TURN 180 Degree Capital Corp. as below: TURN 180 Degree Capital Corp. Stock Forecast (Buy or Sell) as of 21 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 % NASDAQ:TURN Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+15) 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 TURN 180 Degree Capital Corp. stoc

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 Aroon and Factor. Machine Learning based stock forecast (n+3m) for DXPE DXP Enterprises as below: DXPE DXP Enterprises Stock Forecast (Buy or Sell) as of 21 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 % NASDAQ:DXPE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+3m) Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we onl

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 Triple Exponential Moving Average (TRIX) and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for LTC LTC Properties as below: LTC LTC Properties Stock Forecast (Buy or Sell) as of 21 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 % NYSE:LTC Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+3m) 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 ty

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 Stepwise Regression. Machine Learning based stock forecast (n+6m) for MAXINDIA Max India Limited as below: MAXINDIA Max India Limited Stock Forecast (Buy or Sell) as of 21 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 % NSE:MAXINDIA Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+6m) When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate MAXINDIA Max India Limited stock forecast parameters by: Expectation with Stepwise Regression

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 RRS and Lasso Regression. Machine Learning based stock forecast (n+6m) for MORARJEE Morarjee Textiles Limited as below: MORARJEE Morarjee Textiles Limited Stock Forecast (Buy or Sell) as of 21 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 % NSE:MORARJEE Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+6m) 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 guaranteed (for example

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 Sign-Rank Test. Machine Learning based stock forecast (n+15) for JETAIRWAYS Jet Airways (India) Limited as below: JETAIRWAYS Jet Airways (India) Limited Stock Forecast (Buy or Sell) as of 21 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:JETAIRWAYS Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+15) 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. We estimate JETAIRWAYS Jet Airways (India) Limited stock forecast parameters by: Delay-Line Oscillators with Wilcoxon Sign-Rank Test

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 Independent T-Test. Machine Learning based stock forecast (n+6m) for UMH UMH Properties as below: UMH UMH Properties Stock Forecast (Buy or Sell) as of 21 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 % NYSE:UMH Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+6m) 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 UMH UMH Properties stock forecast parameters by: Crystal Oscillators with Independent T-Test

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 Bollinger Bands %B and Chi-Square. Machine Learning based stock forecast (n+6m) for FARM Farmer Brothers Company as below: FARM Farmer Brothers Company Stock Forecast (Buy or Sell) as of 21 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:FARM Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 21 Dec 2021 for (n+6m) 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