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 Independent T-Test. Machine Learning based stock forecast (n+15) for GNMA iShares GNMA Bond ETF as below: GNMA iShares GNMA Bond ETF Stock Forecast (Buy or Sell) as of 03 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:GNMA Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+15) 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 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 Opto-Electronic Oscillators and Logistic Regression. Machine Learning based stock forecast (n+30) for SMMF Summit Financial Group as below: SMMF Summit Financial Group Stock Forecast (Buy or Sell) as of 03 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:SMMF Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+30) 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). We estimate SMMF Su

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 Meissner Oscillators and Ridge Regression. Machine Learning based stock forecast (n+7) for VFF Village Farms International as below: VFF Village Farms International Stock Forecast (Buy or Sell) as of 03 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:VFF Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+7) In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate VFF Village Farms International stock forecast parameters by: Meissner Oscillators with Ridge 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 Royer Oscillators and Simple Regression. Machine Learning based stock forecast (n+7) for BHIB BMO UK HIGH INCOME TRUST PLC as below: BHIB BMO UK HIGH INCOME TRUST PLC Stock Forecast (Buy or Sell) as of 03 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:BHIB Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+7) 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 i

BOSTON (AC Invest Credit Rating Terminal) Mon Jan 03 2022 09:07:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for NEWFIELD NATIONAL BANK NEWFIELD NJ: We estimate the credit risk parameters by Aroon and Logistic Regression Credit Ratings for NEWFIELD NATIONAL BANK NEWFIELD NJ as of 03 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 36 42 Financial Signals 62 55 Risk Signals 88 42 Substantial Risks 63 48 Speculative Signals 84 57 *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 Williams %R and Logistic Regression. Machine Learning based stock forecast (n+7) for JII JPMORGAN INDIAN INV TRUST PLC as below: JII JPMORGAN INDIAN INV TRUST PLC Stock Forecast (Buy or Sell) as of 03 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:JII Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+7) 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

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 Clapp Oscillators and Lasso Regression. Machine Learning based stock forecast (n+1y) for ATULAUTO Atul Auto Limited as below: ATULAUTO Atul Auto Limited Stock Forecast (Buy or Sell) as of 03 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:ATULAUTO Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+1y) 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 exclude rest

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 Williams %R and Paired T-Test. Machine Learning based stock forecast (n+15) for SJH ST JAMES HOUSE PLC as below: SJH ST JAMES HOUSE PLC Stock Forecast (Buy or Sell) as of 03 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 % LON:SJH Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+15) We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a shorter time horizon. We estimate SJH ST

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 Volume + Moving Average and Sign Test. Machine Learning based stock forecast (n+15) for CRN CAIRN HOMES PLC as below: CRN CAIRN HOMES PLC Stock Forecast (Buy or Sell) as of 03 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 % LON:CRN Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+15) Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. We estimate CRN CAIRN

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 Paired T-Test. Machine Learning based stock forecast (n+7) for GSF GORE STREET ENERGY STORAGE FUND PLC as below: GSF GORE STREET ENERGY STORAGE FUND PLC Stock Forecast (Buy or Sell) as of 03 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:GSF Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+7) 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 avai

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 Factor. Machine Learning based stock forecast (n+3m) for IQ iQIYI as below: IQ iQIYI Stock Forecast (Buy or Sell) as of 03 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:IQ Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 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 typically less liquid (and the greater potential for invent

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 Parabolic SAR (PSAR) and Sign Test. Machine Learning based stock forecast (n+3m) for HSKA Heska Corporation as below: HSKA Heska Corporation Stock Forecast (Buy or Sell) as of 03 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:HSKA Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+3m) 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--reg

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 Dynatron Oscillators and Linear Regression. Machine Learning based stock forecast (n+30) for SPI SPI Energy Co. as below: SPI SPI Energy Co. Stock Forecast (Buy or Sell) as of 03 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:SPI Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+30) 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. We estimate SPI SPI Energy Co. stock forecast parameters by: Dynatron Oscillators with Linear 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 EMR and Independent T-Test. Machine Learning based stock forecast (n+6m) for TSCAP TriState Capital Holdings as below: TSCAP TriState Capital Holdings Stock Forecast (Buy or Sell) as of 03 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:TSCAP Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 03 Jan 2022 for (n+6m) For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through o