The stock price realization for LON:VLE is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Spearman Correlation. Machine Learning based stock forecast (n+15) for VLE VOLVERE PLC as below: VLE VOLVERE PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+15) The various qualitative factors in the criteria help to ident

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 10:55:02 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 Koryojyuhan Co Ltd: We estimate the credit risk parameters by Colpitts Oscillator and Wilcoxon Sign-Rank Test Credit Ratings for Koryojyuhan Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B3 Semantic Signals 76 37 Financial Signals 34 45 Risk Signals 86 62 Substantial Risks 61 42 Speculative Signals 68 34 *Machine Learning utilizes multiple learning algorithms to ob

The stock price realization for NASDAQ:BCOM is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 RC Phase Shift Oscillator and Linear Regression. Machine Learning based stock forecast (n+1y) for BCOM B Communications Ltd. as below: BCOM B Communications Ltd. Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) When calculating so

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 10:25:02 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 Zhejiang Kanglngd Spl Prtctn Tech Co Ltd: We estimate the credit risk parameters by Rating and Beta Credit Ratings for Zhejiang Kanglngd Spl Prtctn Tech Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 55 62 Financial Signals 86 65 Risk Signals 39 85 Substantial Risks 90 31 Speculative Signals 64 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our res

The stock price realization for NYSE:HTGC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Psychological Line (PSY) and Simple Regression. Machine Learning based stock forecast (n+1y) for HTGC Hercules Technology Growth Capital as below: HTGC Hercules Technology Growth Capital Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for McGraw-Hill Global Education Finance, Inc.: We estimate the credit risk parameters by OCL and Beta Credit Ratings for McGraw-Hill Global Education Finance, Inc. as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 44 66 Financial Signal

The stock price realization for NASDAQ:LACQ is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 OCL and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+7) for LACQ Leisure Acquisition Corp. as below: LACQ Leisure Acquisition Corp. Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+7) When determining the cash to be

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 09:25:02 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 UNITED BANK&TRUST CO: We estimate the credit risk parameters by Expectation and Wilcoxon Rank-Sum Test Credit Ratings for UNITED BANK&TRUST CO as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba2 Semantic Signals 51 88 Financial Signals 74 56 Risk Si

The stock price realization for LON:UANC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Heikin-Ashi and Independent T-Test. Machine Learning based stock forecast (n+30) for UANC URBAN&CIVIC PLC as below: UANC URBAN&CIVIC PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+30) Given that we exclude proposed "be

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 08:55:02 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 Pro-Ship Incorporated: We estimate the credit risk parameters by EMR and Spearman Correlation Credit Ratings for Pro-Ship Incorporated as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 85 35 Financial Signals 31 63 Risk Signals 54 52 Substantial Risks 42 61 Speculative Signals 64 37 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our r

The stock price realization for LON:MIDW is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for MIDW MIDWICH GROUP PLC as below: MIDW MIDWICH GROUP PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+3m) While the existence of a commer

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 08:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Satin Creditcare Network Limited: We estimate the credit risk parameters by Simple Moving Average (SMA) and Multiple Regression Credit Ratings for Satin Creditcare Network Limited as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 70 82 Financial Signals 79 67 Risk Signals 40 64 Substantial Risks 33 33 Speculative Signals 69 86 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine

The stock price realization for LON:BOR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Average True Range (ATR) and Chi-Square. Machine Learning based stock forecast (n+6m) for BOR BORDERS & SOUTHERN PETROLEUM PLC as below: BOR BORDERS & SOUTHERN PETROLEUM PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+6m) Our

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. Rating Model for The Middleby Corporation: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Beta Credit Ratings for The Middleby Corporation as of 14 Sep 2021 Credit Rating Sho

The stock price realization for NASDAQ:WSFS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Chi-Square. Machine Learning based stock forecast (n+7) for WSFS WSFS Financial Corporation as below: WSFS WSFS Financial Corporation Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+7) In addition, a specul

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 07:25:02 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 Zhejiang Garden Bio-chmcl Hgh-tch Co Ltd: We estimate the credit risk parameters by On Balance Volume (OBV) and Logistic Regression Credit Ratings for Zhejiang Garden Bio-chmcl Hgh-tch Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B2 Semantic Signals 81 31 Financial Signals 69 34 Risk Signals 79 79 Substantial Risks 56 68 Speculative Signals 70 45 *Machine Learni

The stock price realization for LON:XPS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Logistic Regression. Machine Learning based stock forecast (n+1y) for XPS XPS PENSIONS GROUP PLC as below: XPS XPS PENSIONS GROUP PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) Additionally, we exclude

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for Thermon Group Holdings, Inc. Common Stock: We estimate the credit risk parameters by Voltage Controlled Oscillator and Wilcoxon Rank-Sum Test Credit Ratings for Thermon Group Holdings, Inc. Common Stock as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 89 88 Financial Signals 68 8

The stock price realization for LON:PEYS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Robinson Oscillators and ANOVA. Machine Learning based stock forecast (n+1y) for PEYS PRINCESS PRIVATE EQUITY HOLDING LD as below: PEYS PRINCESS PRIVATE EQUITY HOLDING LD Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) Our liquidity

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 06:25:03 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 TOMOKU CO., LTD.: We estimate the credit risk parameters by Bollinger Bands Width and Logistic Regression Credit Ratings for TOMOKU CO., LTD. as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 85 71 Financial Signals 57 90 Risk Signals 86 74

The stock price realization for LON:DLAR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 ANOVA. Machine Learning based stock forecast (n+6m) for DLAR DE LA RUE PLC as below: DLAR DE LA RUE PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+6m) Given that we exclude proposed "best efforts" o

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for FIRST UNITED BANK: We estimate the credit risk parameters by Bollinger Bands %B and Linear Regression Credit Ratings for FIRST UNITED BANK as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba1 Semantic Signals 41 52 Financial Signals

The stock price realization for NYSE:PCF is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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+30) for PCF Putnam High Income Securities Fund as below: PCF Putnam High Income Securities Fund Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+30) If w

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. Rating Model for Kanda Holdings Co Ltd: We estimate the credit risk parameters by Envelope (ENV) and Wilcoxon Sign-Rank Test Credit Ratings for Kanda Holdings Co Ltd as of 14 Sep 2021 Credit Rating Short-Term L

The stock price realization for LON:RBD is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Ring Oscillators and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for RBD REABOLD RESOURCES PLC as below: RBD REABOLD RESOURCES PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+7) We do not exclude cash that the

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 assume the debt will need to be repaid/refinanced on the day the put can be first exercised. Rating Model for Qingling Motors Co Ltd: We estimate the credit risk parameters by Keltner Channels and Chi-Square Credit Ratings for Qingling Motors Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 89 35 Financial Signals 69 39 Risk Signals 87 55 Subs

The stock price realization for NSE:SMARTLINK is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Width and Pearson Correlation. Machine Learning based stock forecast (n+3m) for SMARTLINK Smartlink Holdings Limited as below: SMARTLINK Smartlink Holdings Limited Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+3m)

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 04:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. Rating Model for WHITE STATE BANK OF SOUTH ENGLISH IA: We estimate the credit risk parameters by Bollinger Bands Width and Linear Regression Credit Ratings for WHITE STATE BANK OF SOUTH ENGLISH IA as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 42 87 Financial Signals 41 79 Risk Signals 85 58 Substantial Risks 51 51 Speculative Signals 53 47 *Machine Learning utilizes multiple learning algorit

The stock price realization for NYSE:VGM is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 ANOVA. Machine Learning based stock forecast (n+15) for VGM Invesco Trust for Investment Grade Municipals as below: VGM Invesco Trust for Investment Grade Municipals Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 03:55:03 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 Cytec Industries Inc. Common Stock: We estimate the credit risk parameters by Wien Bridge Oscillator and Linear Regression Credit Ratings for Cytec Industries Inc. Common Stock as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B1 Semantic Signals 72 43 Financial Signals 89 90 Risk Signals 34 44 Substantial Risks 72 69 Speculative Signals 83 35 *Machine Learning utilizes mul

The stock price realization for LON:JTWO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Lasso Regression. Machine Learning based stock forecast (n+1y) for JTWO API GROUP CORPORATION as below: JTWO API GROUP CORPORATION Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) If a company has a credit pu

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 03:25:02 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 TherapeuticsMD Inc: We estimate the credit risk parameters by RRS and Lasso Regression Credit Ratings for TherapeuticsMD Inc as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 69 65 Financial Signals 55 83 Risk Signals 74 50 Substantial Risks 87 61 Speculative Signals 32 68 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research,

The stock price realization for NASDAQ:MRNA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Chi-Square. Machine Learning based stock forecast (n+1y) for MRNA Moderna as below: MRNA Moderna Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) Our view of a company's financial policy is an important input when asse

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 02:55:03 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 American Dental Partners, Inc.: We estimate the credit risk parameters by Speculation and Chi-Square Credit Ratings for American Dental Partners, Inc. as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 52 77 Financial Signals 59 61 Risk Signals 44 42 Substantial Risks 74 62 Speculative Signals 52 39 *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 Networ

The stock price realization for NYSE:SMFG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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+6m) for SMFG Sumitomo Mitsui Financial Group Inc Unsponsored American Depositary Shares (Japan) as below: SMFG Sumitomo Mitsui Financial Group Inc Unsponsored American Depositary Shares (Japan) Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stoc

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 02:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not include potential future debt issuances as a source of liquidity because of the uncertainty of a company's ability to access debt markets in times of financial stress, even for investment-grade issuers. For instance, in the case of a proposed financing, with the intended use of proceeds to repay existing debt, we will assess a company's liquidity excluding the proposed financing until it's obtained or fully underwritten. Rating Model for Shenzhen Universe Group Co Ltd: We estimate the credit risk parameters by Ratiocator (RAT) and ANOVA Credit Ratings for Shenzhen Universe Group Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 36 52 Financial Signals 31 33 Risk Signals 74 54 Substantia

The stock price realization for NYSE:PRH is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 ANOVA. Machine Learning based stock forecast (n+1y) for PRH Prudential Financial as below: PRH Prudential Financial Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+1y) For these reasons, although the criteria establis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 01:55:02 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 Hangzhou CNCR-IT Co Ltd: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Multiple Regression Credit Ratings for Hangzhou CNCR-IT Co Ltd as of 14 Sep 2021 Credit Rating Short-Term

The stock price realization for LON:EYE is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Robinson Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+15) for EYE EAGLE EYE SOLUTIONS GROUP PLC as below: EYE EAGLE EYE SOLUTIONS GROUP PLC Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+15) The EBITDA

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 comprehensive view of a company's future liquidity position. Rating Model for Caitong Securities Co Ltd: We estimate the credit risk parameters by Penetration and Linear Regression Credit Ratings for Caitong Securities Co Ltd as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 50 62 Financial Signals 66 52 Risk Signals 77 63 Substantial Risks 36 59 Speculative Signals 69

The stock price realization for NSE:BLS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Psychological Line (PSY) and Beta. Machine Learning based stock forecast (n+3m) for BLS BLS International Services Limited as below: BLS BLS International Services Limited Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+3m) If, for examp

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 00:55:03 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 New Age Beverages Corp: We estimate the credit risk parameters by Heikin-Ashi and Stepwise Regression Credit Ratings for New Age Beverages Corp as of 14 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 82 37 Financial Signals 77 69 Risk Signals 85 73 Substantial Risks 47 84 Speculative Signals 33 57 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utili

The stock price realization for NSE:SICAL is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 ElasticNet Regression. Machine Learning based stock forecast (n+6m) for SICAL Sical Logistics Limited as below: SICAL Sical Logistics Limited Stock Forecast (Buy or Sell) as of 14 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 14 Sep 2021 for (n+6m) For these reasons, althou

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 14 2021 00:25:03 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 Ribo Fashion Group Co Ltd: We estimate the credit risk parameters by Money Flow Index (MFI) and Logistic Regression Credit Ratings for Ribo Fashion Group Co Ltd as of 14 Sep 2021 Credit Rating Shor

The stock price realization for LON:KOS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 ElasticNet Regression. Machine Learning based stock forecast (n+1y) for KOS KOSMOS ENERGY LD as below: KOS KOSMOS ENERGY LD Stock Forecast (Buy or Sell) as of 13 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 13 Sep 2021 for (n+1y) We do not assume future debt refinan

BOSTON (AC Invest Credit Rating Terminal) Mon Sep 13 2021 23:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 assume the debt will need to be repaid/refinanced on the day the put can be first exercised. Rating Model for China Huirong Financial Holdings Ltd: We estimate the credit risk parameters by Pierce Oscillators and Pearson Correlation Credit Ratings for China Huirong Financial Holdings Ltd as of 13 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Semantic Signals 36 38 Financial

The stock price realization for NASDAQ:FITB is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. 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 Psychological Line (PSY) and Lasso Regression. Machine Learning based stock forecast (n+3m) for FITB Fifth Third Bancorp as below: FITB Fifth Third Bancorp Stock Forecast (Buy or Sell) as of 13 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 13 Sep 2021 for (n+3m) Other factors we consider