The stock price realization for NYSE:NXR 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 Stepwise Regression. Machine Learning based stock forecast (n+1y) for NXR Nuveen Select Tax Free Income Portfolio III as below: NXR Nuveen Select Tax Free Income Portfolio III Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 202

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for PowerShares S&P SmallCap Information Technology Portfolio: We estimate the credit risk parameters by Gunn Oscillator and ANOVA Credit Ratings for Powe

The stock price realization for NASDAQ:SUNW 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 Expectation and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for SUNW Sunworks as below: SUNW Sunworks Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) When evaluating uses of liquidity, we include all debt

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 10:25:02 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 Cenveo Inc: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Logistic Regression Credit Ratings for Cenveo Inc as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba2 Semantic Signals 81 42 Financial Signals 77 88 Risk Signals 58 63 Substantial Risks 90

The stock price realization for NASDAQ:IOVA 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 Aroon and Sign Test. Machine Learning based stock forecast (n+6m) for IOVA Iovance Biotherapeutics as below: IOVA Iovance Biotherapeutics Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) If, for example, a facility matured in 18 m

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 09:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Taiju Life Insurance Co Ltd: We estimate the credit risk parameters by Voltage Controlled Oscillator and Lasso Regression Credit Ratings for Taiju Life Insurance Co Ltd as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 68 70 Financial Signals 85 31 Risk Signals 43 55 Substantial Risks 88 64 Speculative Signals 33 76 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning t

The stock price realization for NASDAQ:SBBP 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 Accumulation Distribution Line and Ridge Regression. Machine Learning based stock forecast (n+6m) for SBBP Strongbridge Biopharma plc as below: SBBP Strongbridge Biopharma plc Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) Other

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 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 Winmark Corporation: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Independent T-Test Credit Ratings for Winmark Corporation as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba1 Semantic Signals 88 54 Financial Signa

The stock price realization for LON:UTLG 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 Chi-Square. Machine Learning based stock forecast (n+7) for UTLG UIL FINANCE LIMITED as below: UTLG UIL FINANCE LIMITED Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+7) While we only include contractual acquisitions whe

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 08:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Ignite Restaurant Group, Inc.: We estimate the credit risk parameters by Penetration and Independent T-Test Credit Ratings for Ignite Restaurant Group, Inc. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B1 Semantic Signals 35 71 Financial Signals 83 30 Risk Signals 83 47 Substantial Risks 81 74 Speculative Signals 77 65 *Machine Learning utilizes multiple learning algorithms to obtain bette

The stock price realization for NSE:FINPIPE 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 Ratiocator (RAT) and Paired T-Test. Machine Learning based stock forecast (n+6m) for FINPIPE Finolex Industries Limited as below: FINPIPE Finolex Industries Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) The various qual

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 08:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 held for specific purposes. Rating Model for Guangzhou Shiyuan Electronic Tech Co Ltd: We estimate the credit risk parameters by Dynatron Oscillators and Spearman Correlation Credit Ratings for Guangzhou Shiyuan Electronic Tech Co Ltd as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 72 62 Financial Signals 85 75 Risk Signals 36 60 Substantial Risks 65 89 Spec

The stock price realization for NASDAQ:IMMU 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 Simple Moving Average (SMA) and Paired T-Test. Machine Learning based stock forecast (n+6m) for IMMU Immunomedics as below: IMMU Immunomedics Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) When calculating sources of liquidity,

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for CITY STATE BANCORPORATION, INC.: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Stepwise Regression Credit Ratings for CITY STATE BANCORPORATION, INC. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 84 76 Financial Signals 77 36 Risk Signals 70 66 Substantial Risks 61 35 Speculative Signals 33 79 *Machine Learning uti

The stock price realization for NYSE:MANU 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 Factor. Machine Learning based stock forecast (n+15) for MANU Manchester United Ltd. Class A Ordinary Shares as below: MANU Manchester United Ltd. Class A Ordinary Shares Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for CPL RESOURCES PLC: We estimate the credit risk parameters by Sustainability and ElasticNet Regression Credit Ratings for CPL RESOURCES PLC as of 02 Oct 2021

The stock price realization for NSE:VINDHYATEL 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 and Stepwise Regression. Machine Learning based stock forecast (n+3m) for VINDHYATEL Vindhya Telelinks Limited as below: VINDHYATEL Vindhya Telelinks Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+3m) For these reas

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for Priority Bank: We estimate the credit risk parameters by Williams %R and Linear Regression Credit Ratings for Priority Bank as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 60 71 Fin

The stock price realization for NSE:JMFINANCIL 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 Relative Strength Index (RSI) and Sign Test. Machine Learning based stock forecast (n+7) for JMFINANCIL JM Financial Limited as below: JMFINANCIL JM Financial Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+7) The EBITDA de

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for Citizens Bancshares Inc.: We estimate the credit risk parameters by Heikin-Ashi and Multiple Regression Credit Ratings for Citizens Bancshares Inc. as of

The stock price realization for NSE:VERTOZ 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 Aroon and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+15) for VERTOZ Vertoz Advertising Limited as below: VERTOZ Vertoz Advertising Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+15) In determining how p

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 05:55:02 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 Red River Bancshares Inc: We estimate the credit risk parameters by Price and Multiple Regression Credit Ratings for Red River Bancshares Inc as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 48 35 Financial Signals 38 71 Risk Signals 80 66 Subs

The stock price realization for NSE:TATAMTRDVR 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 and Independent T-Test. Machine Learning based stock forecast (n+6m) for TATAMTRDVR Tata Motors Limited as below: TATAMTRDVR Tata Motors Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) For companies tha

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 05:25:02 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 Security Bancshares, Inc.: We estimate the credit risk parameters by Profit and Linear Regression Credit Ratings for Security Bancshares, Inc. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 57 80 Financial Signals 47 51 Risk Signals 75 58 Substantial Risks 72 34 Speculative Signals 54 78 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers

The stock price realization for NASDAQ:EOLS 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 KDJ and Multiple Regression. Machine Learning based stock forecast (n+7) for EOLS Evolus as below: EOLS Evolus Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+7) Our view of a company's financial policy is an important input when

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 04:55:49 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 BANK OF PERRY COUNTY: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and ElasticNet Regression Credit Ratings for BANK OF PERRY COUNTY as of 02 Oct 2021 Credit R

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 borrowing availability under the facility up to the first extension date. Rating Model for K3 CAPITAL GROUP PLC: We estimate the credit risk parameters by Running Moving Average (RMA) and Ridge Regression Credit Ratings for K3 CAPITAL GROUP PLC as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 36 39 Financial Signals 66 39 Risk

The stock price realization for NASDAQ:ROBT 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 Delay-Line Oscillators and Factor. Machine Learning based stock forecast (n+6m) for ROBT First Trust Nasdaq Artificial Intelligence and Robotics ETF as below: ROBT First Trust Nasdaq Artificial Intelligence and Robotics ETF Stock Forecast (Buy or Sell) as of 02 Oct 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 se

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 04:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for GEMINI BANCSHARES, INC.: We estimate the credit risk parameters by Bollinger Bands %B and ElasticNet Regression Credit Ratings for GEMINI BANCSHARES, INC. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 54 62 Financial Sig

The stock price realization for NASDAQ:VBLT 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 Tuned Collector Oscillator and Independent T-Test. Machine Learning based stock forecast (n+6m) for VBLT Vascular Biogenics Ltd. as below: VBLT Vascular Biogenics Ltd. Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+6m) Asset divesti

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for WHITBREAD PLC: We estimate the credit risk parameters by Crystal Oscillators and Logistic Regression Credit Ratings for WHITBREAD PLC as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 87 60 Financial Signals 55 33 Risk Signals 30 38 Substantial Risks 84 88 Speculative Signals 55 30 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learn

The stock price realization for NASDAQ:CEZ 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 Paired T-Test. Machine Learning based stock forecast (n+30) for CEZ VictoryShares Emerging Market Volatility Wtd ETF as below: CEZ VictoryShares Emerging Market Volatility Wtd ETF Stock Forecast (Buy or Sell) as of 02 Oct 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

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for Synthetic Biologics Inc: We estimate the credit risk parameters by Directional Movement Indicator and Logistic Regression Credit Ratings for Synthetic Biologics Inc as of 02 Oct 2

The stock price realization for NYSE:CTV 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 Clapp Oscillators and Chi-Square. Machine Learning based stock forecast (n+30) for CTV Qwest Corporation 6.875% Notes due 2054 as below: CTV Qwest Corporation 6.875% Notes due 2054 Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+30) If

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 held for specific purposes. Rating Model for Wright Medical Group, Inc.: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Wilcoxon Rank-Sum Test Credit Ratings for Wright Medical Group, Inc. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Caa1 Semantic Signals 78 40 Financial Signals 55 30 Risk Signals 66 35 Substantial Risks 44 35 Speculative Sign

The stock price realization for NSE:SUMICHEM 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 Money Flow Index (MFI) and Paired T-Test. Machine Learning based stock forecast (n+7) for SUMICHEM Sumitomo Chemical India Limited as below: SUMICHEM Sumitomo Chemical India Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+7)

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for Allergan, Inc.: We estimate the credit risk parameters by KDJ and Stepwise Regression Credit Ratings for Allergan, Inc. as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 30 69 Financial Signals 61 60 Risk Signals 36 69 Substantial Risks 70 74 Speculative Signals 81 42 *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.

The stock price realization for NSE:SELMCL 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 Chi-Square. Machine Learning based stock forecast (n+30) for SELMCL SEL Manufacturing Company Limited as below: SELMCL SEL Manufacturing Company Limited Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+30) Asset divesti

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 01:55:03 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 MCCOLL'S RETAIL GROUP PLC: We estimate the credit risk parameters by Meissner Oscillators and ElasticNet Regression Credit Ratings for MCCOLL'S RETAIL GROUP PLC as of 02 Oct 2021 Credit Rating

The stock price realization for NASDAQ:RRBI 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 Voltage Controlled Oscillator and Paired T-Test. Machine Learning based stock forecast (n+7) for RRBI Red River Bancshares as below: RRBI Red River Bancshares Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+7) Given that it can be dif

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 01:25:03 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 Abbott Laboratories: We estimate the credit risk parameters by Meissner Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Abbott Laboratories as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 77 58 Financial Signals 82 34 Risk Signals 58 52 Substantia

The stock price realization for NASDAQ:BNTC 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 Anomaly and Beta. Machine Learning based stock forecast (n+30) for BNTC Benitec Biopharma Inc. as below: BNTC Benitec Biopharma Inc. Stock Forecast (Buy or Sell) as of 02 Oct 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: 02 Oct 2021 for (n+30) We believe that when a company is viewed as bein

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 00:55:02 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 Boston Beer Company, Inc. (The) Common Stock: We estimate the credit risk parameters by Keltner Channels and Wilcoxon Rank-Sum Test Credit Ratings for Boston Beer Company, Inc. (The) Common Stock as of 02 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 50 88 Financial Signals 40 41 Risk Signals 42 54 Substantial Risks 57 74 Speculative Signals 53 68 *Machine Learning utilizes multiple

The stock price realization for NASDAQ:GRID 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 Penetration and Chi-Square. Machine Learning based stock forecast (n+30) for GRID First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund as below: GRID First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund Stock Forecast (Buy or Sell) as of 02 Oct 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

BOSTON (AC Invest Credit Rating Terminal) Sat Oct 02 2021 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for SaviBank: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Independent T-Test Credit Ratings for SaviBank as of 02 Oct 2021

The stock price realization for NYSE:AKO.B 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 Profit and Ridge Regression. Machine Learning based stock forecast (n+7) for AKO.B Embotelladora Andina S.A. as below: AKO.B Embotelladora Andina S.A. Stock Forecast (Buy or Sell) as of 01 Oct 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: 01 Oct 2021 for (n+7) Under times of stress, such actio

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 23:55:03 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 Techniplas LLC: We estimate the credit risk parameters by RRS and Simple Regression Credit Ratings for Techniplas LLC as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cla