The stock price realization for NSE:SMSPHARMA 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 Paired T-Test. Machine Learning based stock forecast (n+1y) for SMSPHARMA SMS Pharmaceuticals Limited as below: SMSPHARMA SMS Pharmaceuticals Limited Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+1y) Likewise

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for AGCO Corporation Common Stock: We estimate the credit risk parameters by Accumulation Distribution Line and Simple Regression Credit Ratings for AGCO Corporation Common Stock as of 04 Nov 2021 Credit Rating Short-Term L

The stock price realization for NSE:KPITTECH 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 Royer Oscillators and Lasso Regression. Machine Learning based stock forecast (n+30) for KPITTECH KPIT Technologies Limited as below: KPITTECH KPIT Technologies Limited Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+30) For compani

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 10:25:02 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 HICL INFRASTRUCTURE PLC: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Wilcoxon Rank-Sum Test Credit Ratings for HICL INFRASTRUCTURE PLC as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3 Semantic Signals 72 75 Financial Signals 54 55

The stock price realization for LON:AIRE 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 Running Moving Average (RMA) and ANOVA. Machine Learning based stock forecast (n+15) for AIRE ALTERNATIVE INCOME REIT PLC as below: AIRE ALTERNATIVE INCOME REIT PLC Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+15) We do not assume fu

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for PUBLITY AG O.N.: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Simple Regression Credit Ratings for PUBLITY AG O.N. as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B3 Semantic Signals 84 31 Financial Signals 59 38 Risk Signals 68 35 Substantial Risks 86 44 Speculative Signals 78 82 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our res

The stock price realization for NASDAQ:PEY 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 Chaikin Oscillator and Sign Test. Machine Learning based stock forecast (n+30) for PEY Invesco High Yield Equity Dividend Achievers ETF as below: PEY Invesco High Yield Equity Dividend Achievers ETF Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 09:25:03 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 MARION BANK&TRUST CO: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Stepwise Regression Credit Ratings for MARION BANK&TRUST CO as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 52 51 Financial Signals 69 39 Risk Signals 82 49 Substantial Risks 82 82 Speculative Signals 34 55 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to c

The stock price realization for NASDAQ:STFC 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 Speculation and Independent T-Test. Machine Learning based stock forecast (n+7) for STFC State Auto Financial Corporation as below: STFC State Auto Financial Corporation Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+7) Shared facili

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 08:55:02 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 Government Properties Income Trust Common Shares of Beneficial Interest: We estimate the credit risk parameters by Ring Oscillators and Spearman Correlation Credit Ratings for Government Properties Income Trus

The stock price realization for NASDAQ:KINS 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 Volume and Pearson Correlation. Machine Learning based stock forecast (n+3m) for KINS Kingstone Companies as below: KINS Kingstone Companies Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+3m) While we only include contractual acquis

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 08:25:02 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 Primero Mining Corp. New Common Shares (Canada): We estimate the credit risk parameters by Heikin-Ashi and Paired T-Test Credit Ratings for Primero Mining Corp. New Common Shares (Canada) as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals

The stock price realization for NASDAQ:ANIK 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 Oscillator (PPO) and Stepwise Regression. Machine Learning based stock forecast (n+6m) for ANIK Anika Therapeutics Inc. as below: ANIK Anika Therapeutics Inc. Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+6m) We do not assume

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 07:55:03 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 Great Southern Bancorp, Inc.: We estimate the credit risk parameters by Dynatron Oscillators and Linear Regression Credit Ratings for Great Southern Bancorp, Inc. as of 04 Nov 2021 Credit Rating Sh

The stock price realization for NYSE:ASR 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 Spearman Correlation. Machine Learning based stock forecast (n+7) for ASR Grupo Aeroportuario del Sureste as below: ASR Grupo Aeroportuario del Sureste Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+7) If,

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 07:25:02 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 First Merchants Corporation: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Independent T-Test Credit Ratings for First Merchants Corporation as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 79 52 Financial Signals 60 86 Risk Signals 51 51 Substantial Risks 64 80 Speculative Signals 34 34 *Machine Learning utilizes multiple lear

The stock price realization for NYSE:SWK 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 Factor. Machine Learning based stock forecast (n+3m) for SWK Stanley Black & Decker as below: SWK Stanley Black & Decker Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+3m) In this scenario, we would still include the

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 06:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for KKR International Holdings L.P.: We estimate the credit risk parameters by Price Oscillator (PPO) and Ridge Regression Credit Ratings for KKR International Holdings L.P. as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 87 47 Financial Signals 77 34 Risk Signals 62 88 Substantial Risks 30 76 Speculat

The stock price realization for NSE:INTELLECT 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 Trend and Independent T-Test. Machine Learning based stock forecast (n+30) for INTELLECT Intellect Design Arena Limited as below: INTELLECT Intellect Design Arena Limited Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+30) In our a

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Templeton Russia and East European Fund, Inc. Common Stock: We estimate the credit risk parameters by Speculation and Factor Credit Ratings for Templeton Russia and East European Fund, Inc. Common Stock as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 38 68 Financial Signals 55 68 Risk Signals 64 31 Substantial Risks 89 64 Speculative Signals 87 60 *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

The stock price realization for NASDAQ:PHCF 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 ElasticNet Regression. Machine Learning based stock forecast (n+3m) for PHCF Puhui Wealth Investment Management Co. as below: PHCF Puhui Wealth Investment Management Co. Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 05:55:02 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 Tsakos Energy Navigation Ltd Red Perp Pfd Ser B% (Bermuda): We estimate the credit risk parameters by Opto-Electronic Oscillators and Ridge Regression Credit Ratings for Tsakos Energy Navigation Ltd Red Perp Pfd Ser B% (Bermuda) as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 65 58 Financial Signals 81 39 Risk Signals 34 88 Substantial Risks 77 44 Speculative Signals 68 75 *Machine Learning utilizes multip

The stock price realization for NSE:ORIENTABRA 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 Pearson-Anson Oscillators and Chi-Square. Machine Learning based stock forecast (n+6m) for ORIENTABRA Orient Abrasives Limited as below: ORIENTABRA Orient Abrasives Limited Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+6m) If we

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for STR Holdings, Inc Common Stock: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Beta Credit Ratings for STR Holdings, Inc Common Stock as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 76 62 Financial Signals 30 72 Risk Signals 68 40 Substantial Risks 39 65 Speculative Signals 56 63 *Machine Learning util

The stock price realization for LON:AXS 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 Linear Regression. Machine Learning based stock forecast (n+7) for AXS ACCSYS TECHNOLOGIES PLC as below: AXS ACCSYS TECHNOLOGIES PLC Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+7) We believe that when a company is view

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 04:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for RAKE BANCORPORATION: We estimate the credit risk parameters by KDJ and Polynomial Regression Credit Ratings for RAKE BANCORPORATION as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 65 34 Financial Signals 88 86 Risk Signals 52 66 Substantial Risks 58 85 Speculative Signals 50 47 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research,

The stock price realization for NSE:RADIOCITY 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 Ridge Regression. Machine Learning based stock forecast (n+7) for RADIOCITY Music Broadcast Limited as below: RADIOCITY Music Broadcast Limited Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+7) The various

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 04:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for Associated Banc Corp: We estimate the credit risk parameters by Commodity Channel Index and ElasticNet Regression Credit Ratings for Associated Banc Corp as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI

The stock price realization for NASDAQ:MPWR 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 Paired T-Test. Machine Learning based stock forecast (n+30) for MPWR Monolithic Power Systems as below: MPWR Monolithic Power Systems Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+30) We do not assume futur

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 03:55:03 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 Sabal Trail Transmission, LLC: We estimate the credit risk parameters by Pierce Oscillators and Simple Regression Credit Ratings for Sabal Trail Transmission, LLC as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 36 55 Financial Signals 81 39 Ri

The stock price realization for NASDAQ:NATH 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 Multiple Regression. Machine Learning based stock forecast (n+15) for NATH Nathan's Famous as below: NATH Nathan's Famous Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+15) Asset divestitures. We

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 03:25:02 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 Watsco, Inc. Class B Common Stock: We estimate the credit risk parameters by Ring Oscillators and ANOVA Credit Ratings for Watsco, Inc. Class B Common Stock as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 64 75 Financial Signals 58 50 Risk Signals 85 87 Substantial Risks 85 85 Speculative

The stock price realization for LON:GPH 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 Running Moving Average (RMA) and Chi-Square. Machine Learning based stock forecast (n+1y) for GPH GLOBAL PORTS HOLDING PLC as below: GPH GLOBAL PORTS HOLDING PLC Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+1y) We do not assume future

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for SeaChange International, Inc.: We estimate the credit risk parameters by KDJ and Stepwise Regression Credit Ratings for SeaChange International, Inc. as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 53 68 Financial Signals 41 76 Risk Signals 78 48 Substantial Risks 47 72 Speculative Signals 45 86

The stock price realization for NYSE:WSM 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 Sign Test. Machine Learning based stock forecast (n+6m) for WSM Williams as below: WSM Williams Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+6m) Given the earnings volatility companies experience, we have specified fo

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 02:25:02 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 FIRST BANK OF UTICA: We estimate the credit risk parameters by Chaikin Oscillator and Factor Credit Ratings for FIRST BANK OF UTICA as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 90 39 Financial Signals 88 51 Risk Signals 62 69 Substantial Risks 45 82 Speculative Signals 77

The stock price realization for NYSE:EC 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 Pearson-Anson Oscillators and Paired T-Test. Machine Learning based stock forecast (n+15) for EC Ecopetrol S.A. American Depositary Shares as below: EC Ecopetrol S.A. American Depositary Shares Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 fo

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 01:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Amplify Energy Corp: We estimate the credit risk parameters by Expectation and Chi-Square Credit Ratings for Amplify Energy Corp as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 41 46 Financial Signals 41 43 Risk Signals 75 48 Substantial Risks 73 67 Speculative Signals 48 33 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

The stock price realization for NASDAQ:STCN 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 FS and Linear Regression. Machine Learning based stock forecast (n+3m) for STCN Steel Connect as below: STCN Steel Connect Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+3m) If we believe a company would use cash trapped at a foreig

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 01:25:02 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 Interpublic Group of Companies Inc: We estimate the credit risk parameters by Dynatron Oscillators and ANOVA Credit Ratings for Interpublic Group of Companies Inc as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cla

The stock price realization for LON:IWG 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 SMoothed Moving Average (SMMA) and Multiple Regression. Machine Learning based stock forecast (n+3m) for IWG IWG PLC as below: IWG IWG PLC Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+3m) While we only include contractual acquisitions

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 00:55:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for Citizens Commerce Bank: We estimate the credit risk parameters by Colpitts Oscillator and Spearman Correlation Credit Ratings for Citizens Commerce Bank as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 57 39 Financial Signals 77 87 Risk Signals 49 39 Substantial Risks 51 86 Speculative Signals 59 33 *Machine Learning utilizes multip

The stock price realization for NASDAQ:SGBX 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 Modified (Smoothed) Moving Average and Linear Regression. Machine Learning based stock forecast (n+30) for SGBX SG Blocks as below: SGBX SG Blocks Stock Forecast (Buy or Sell) as of 04 Nov 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: 04 Nov 2021 for (n+30) Our liquidity uses include dividen

BOSTON (AC Invest Credit Rating Terminal) Thu Nov 04 2021 00:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. Rating Model for BGI Genomics Co Ltd: We estimate the credit risk parameters by Keltner Channels and Ridge Regression Credit Ratings for BGI Genomics Co Ltd as of 04 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cla

The stock price realization for NASDAQ:TAIT 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 Ridge Regression. Machine Learning based stock forecast (n+15) for TAIT Taitron Components Incorporated as below: TAIT Taitron Components Incorporated Stock Forecast (Buy or Sell) as of 03 Nov 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: 03 Nov 2021 for (n+15) I

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 03 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Rating Model for Frontier Airlines Holdings, Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Wilcoxon Rank-Sum Test Credit Ratings for Frontier Airlines Holdings, Inc. as of 03 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba

The stock price realization for NSE:TVSSRICHAK 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 Pearson-Anson Oscillators and Independent T-Test. Machine Learning based stock forecast (n+1y) for TVSSRICHAK TVS Srichakra Limited as below: TVSSRICHAK TVS Srichakra Limited Stock Forecast (Buy or Sell) as of 03 Nov 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: 03 Nov 2021 for (n+1y) For