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 Simple Regression. Machine Learning based stock forecast (n+6m) for BGX Blackstone GSO Long Short Credit Income Fund as below: BGX Blackstone GSO Long Short Credit Income Fund Stock Forecast (Buy or Sell) as of 09 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:BGX Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+6m) 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 BGX Blackstone GSO Long Short Credit Income Fund stock forecast parameters by: Tri-tet Oscillators with Simple Regre

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 Pierce Oscillators and Lasso Regression. Machine Learning based stock forecast (n+1y) for FORTY Formula Systems (1985) Ltd. as below: FORTY Formula Systems (1985) Ltd. Stock Forecast (Buy or Sell) as of 09 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:FORTY Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+1y) 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-m

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 Pierce Oscillators and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for DSSL Dynacons Systems & Solutions Limited as below: DSSL Dynacons Systems & Solutions Limited Stock Forecast (Buy or Sell) as of 09 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:DSSL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+3m) 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 m

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 Simple Regression. Machine Learning based stock forecast (n+6m) for PFL PIMCO Income Strategy Fund Shares of Beneficial Interest as below: PFL PIMCO Income Strategy Fund Shares of Beneficial Interest Stock Forecast (Buy or Sell) as of 09 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:PFL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+6m) To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted sp

BOSTON (AC Invest Credit Rating Terminal) Sun Jan 09 2022 09:07:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Retail Opportunity Investments Corp.: We estimate the credit risk parameters by Electron Coupled Oscillators and Multiple Regression Credit Ratings for Retail Opportunity Investments Corp. as of 09 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 58 74 Financial Signals 71 70 Risk Signals 68 56 Substantial Risks 43 63 Speculative Signals 63 61 *Machine Learning ut

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 Ratiocator (RAT) and Logistic Regression. Machine Learning based stock forecast (n+30) for COLPAL Colgate Palmolive (India) Limited as below: COLPAL Colgate Palmolive (India) Limited Stock Forecast (Buy or Sell) as of 09 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 % NSE:COLPAL Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+30) 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 eva

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 Speculation and Simple Regression. Machine Learning based stock forecast (n+3m) for INT World Fuel Services Corporation as below: INT World Fuel Services Corporation Stock Forecast (Buy or Sell) as of 09 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:INT Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+3m) 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 INT World Fuel Services Corporation stock forecast parameters by: Speculation

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 Modified (Smoothed) Moving Average and Ridge Regression. Machine Learning based stock forecast (n+30) for ATOM Atomera Incorporated as below: ATOM Atomera Incorporated Stock Forecast (Buy or Sell) as of 09 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:ATOM Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+30) 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 short

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 Beta. Machine Learning based stock forecast (n+7) for FLXN Flexion Therapeutics as below: FLXN Flexion Therapeutics Stock Forecast (Buy or Sell) as of 09 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:FLXN Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 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 exclude restricted cash hel

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+3m) for CSP COUNTRYSIDE PROPERTIES PLC as below: CSP COUNTRYSIDE PROPERTIES PLC Stock Forecast (Buy or Sell) as of 09 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 % LON:CSP Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+3m) 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

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 Polynomial Regression. Machine Learning based stock forecast (n+7) for ENT Global Eagle Entertainment Inc. as below: ENT Global Eagle Entertainment Inc. Stock Forecast (Buy or Sell) as of 09 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:ENT Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+7) 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 ENT Global Eagle Entertainment Inc. stock forecast parameters by: Wien Bridge Oscillator with Polynomial 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 Paired T-Test. Machine Learning based stock forecast (n+6m) for MPLX MPLX LP as below: MPLX MPLX LP Stock Forecast (Buy or Sell) as of 09 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:MPLX Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+6m) 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 only include the

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 Gunn Oscillator and Simple Regression. Machine Learning based stock forecast (n+30) for SPSC SPS Commerce as below: SPSC SPS Commerce Stock Forecast (Buy or Sell) as of 09 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:SPSC Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 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 assessment on a volatile company to strong from exceptional if we believe key quantit

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 Gunn Oscillator and Factor. Machine Learning based stock forecast (n+15) for ENV Envestnet as below: ENV Envestnet Stock Forecast (Buy or Sell) as of 09 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 % NYSE:ENV Stock Forecast Rationales & Analyst Ratings Time series to forecast n: 09 Jan 2022 for (n+15) 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 ENV Envestnet stock forecast parameters by: Gunn Oscillator with Factor