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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for VERI Veritone as below: VERI Veritone Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:VERI Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+1y) Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. We estimate VERI Veritone stock forecast parameters by: Bollinger Bands with Wilcoxon Rank-Sum Test

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 10:55:02 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 Merit Medical Systems, Inc.: We estimate the credit risk parameters by Running Moving Average (RMA) and Independent T-Test Credit Ratings for Merit Medical Systems, Inc. as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba2 Semantic Signals 83 41 Financial Signals 81 77 Risk Signals 54 45 Substantial Risks 79 87 Speculative Signals 82 88 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning

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 Multiple Regression. Machine Learning based stock forecast (n+15) for OIG ORYX INTERNATIONAL GROWTH FUND LD as below: OIG ORYX INTERNATIONAL GROWTH FUND LD Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:OIG Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+15) 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 deb

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 Spearman Correlation. Machine Learning based stock forecast (n+30) for TIPSINDLTD TIPS Industries Limited as below: TIPSINDLTD TIPS Industries Limited Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:TIPSINDLTD Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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 geogr

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 Stepwise Regression. Machine Learning based stock forecast (n+30) for STWD STARWOOD PROPERTY TRUST as below: STWD STARWOOD PROPERTY TRUST Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:STWD Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a sh

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 ElasticNet Regression. Machine Learning based stock forecast (n+30) for CASS Cass Information Systems as below: CASS Cass Information Systems Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:CASS Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate CASS Cass Information Systems stock forecast parameters by: Profit with ElasticNet Regression

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 10:25:06 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 Guangdong Biolight Meditech Co Ltd: We estimate the credit risk parameters by Crystal Oscillators and Stepwise Regression Credit Ratings for Guangdong Biolight Meditech Co Ltd as of 02 Dec 2021 Credit Rating Short-Term

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+7) for NBLX Noble Midstream Partners LP as below: NBLX Noble Midstream Partners LP Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:NBLX Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+7) 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. We estimate NBLX Noble Midstream Partners LP stock

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 09:55:03 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 Daito Trust Construction Co Ltd: We estimate the credit risk parameters by Anomaly and Independent T-Test Credit Ratings for Daito Trust Construction Co Ltd as of 02 Dec 2021 Credit Rating Short-Te

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 Envelope (ENV) and Paired T-Test. Machine Learning based stock forecast (n+6m) for VRCA Verrica Pharmaceuticals Inc. as below: VRCA Verrica Pharmaceuticals Inc. Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:VRCA Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) 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 asses

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 09:25:03 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 EAST BOSTON SAVINGS BANK: We estimate the credit risk parameters by Colpitts Oscillator and Paired T-Test Credit Ratings for EAST BOSTON SAVINGS BANK as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 81 74 Financial Signals 65 51 Risk Signals

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 Electron Coupled Oscillators and Sign Test. Machine Learning based stock forecast (n+7) for IESC IES Holdings as below: IESC IES Holdings Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:IESC Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+7) 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. We estimate IESC IES Holdings stock fo

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 08:55:03 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 China Digital TV Holding Co., Ltd. American Depositary Shares: We estimate the credit risk parameters by On Balance Volume (OBV) and Chi-Square Credit Ratings for China Digital TV Holding Co., Ltd. American Depositary Shares as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B3 Semantic Signals 86 33 Financial Signals 86 63 Risk Signals 69 65 Substantial Risks 76 39 Speculative Signals 60 32 *Machine Learning utilizes multiple learning algorithms to obtain better predictiv

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 Simple Regression. Machine Learning based stock forecast (n+30) for NCLIND NCL Industries Limited as below: NCLIND NCL Industries Limited Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:NCLIND Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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 a

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 08:25:03 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 Sterling Bancorp: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Linear Regression Credit Ratings for Sterling Bancorp as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 83 90 Financial Signals 79 67 Risk Signals 68 43 Substantial Risks 48 42 Speculative Signals 64 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 Network and Support Vector Machines.

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with FS and ANOVA. Machine Learning based stock forecast (n+6m) for IVPG INVESCO PERPETUAL SELECT TRUST PLC as below: IVPG INVESCO PERPETUAL SELECT TRUST PLC Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:IVPG Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) 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

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 07:55:03 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 Shanghai Gench Education Group Ltd: We estimate the credit risk parameters by Cross-Coupled Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Shanghai Gench Education Group Ltd as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B3 Semantic Signals 38 46 Financial Signals 45 59 Risk Signals 82 70 Substantial Risks

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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for TTWO Take as below: TTWO Take Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:TTWO Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+7) Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. We estima

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 07:25:03 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 Hi-target Navigation Tech Co Ltd: We estimate the credit risk parameters by Robinson Oscillators and Chi-Square Credit Ratings for Hi-target Navigation Tech Co Ltd as of 02 Dec 20

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 Moving Average Convergence Divergence (MACD) and Polynomial Regression. Machine Learning based stock forecast (n+1y) for ICON ICONIC LABS PLC as below: ICON ICONIC LABS PLC Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:ICON Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+1y) 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. We e

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 06:55:03 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 Diamond A Financial, LP: We estimate the credit risk parameters by Robinson Oscillators and Spearman Correlation Credit Ratings for Diamond A Financial, LP as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior A

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 Spearman Correlation. Machine Learning based stock forecast (n+3m) for UTLF UIL FINANCE LIMITED as below: UTLF UIL FINANCE LIMITED Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:UTLF Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+3m) 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 ea

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 06:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Emigrant Savings Bank - Bronx/Westchester: We estimate the credit risk parameters by Robinson Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Emigrant Savings Bank - Bronx/Westchester as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 69 62 Financial Signals 47 64 Risk Signals 62 78 Substantial Risks 74 40 Speculative Signals 88

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 Triple Exponential Moving Average (TRIX) and Pearson Correlation. Machine Learning based stock forecast (n+7) for WIRE Encore Wire Corporation as below: WIRE Encore Wire Corporation Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:WIRE Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+7) 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 eac

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 05:55:02 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 Pioneer Municipal High Income Trust Common Shares of Beneficial Interest: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Factor Credit Rati

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 Beta. Machine Learning based stock forecast (n+3m) for VADILALIND Vadilal Industries Limited as below: VADILALIND Vadilal Industries Limited Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:VADILALIND Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+3m) 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

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 05:25:04 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 FIRST BANCORPORATION, INC.: We estimate the credit risk parameters by Momentum and Lasso Regression Credit Ratings for FIRST BANCORPORATION, INC. as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 51 34 Financial Signals 47 31 Risk S

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+30) for 68HN MENZIES(JOHN) PLC as below: 68HN MENZIES(JOHN) PLC Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:68HN Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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 compre

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 04:55:02 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 PINCHme.com Inc: We estimate the credit risk parameters by Price and Wilcoxon Rank-Sum Test Credit Ratings for PINCHme.com Inc as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 S

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 Polynomial Regression. Machine Learning based stock forecast (n+30) for 32ID RENOLD PLC as below: 32ID RENOLD PLC Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:32ID Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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. We estimate 32ID RENOLD PLC stock forecast param

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 04:25:03 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 BANK OF KAMPSVILLE: We estimate the credit risk parameters by Ratiocator (RAT) and Spearman Correlation Credit Ratings for BANK OF KAMPSVILLE as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 Ba2 Semantic Signals 38 55 Financial Sig

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Parabolic SAR (PSAR) and Beta. Machine Learning based stock forecast (n+6m) for STOK Stoke Therapeutics as below: STOK Stoke Therapeutics Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:STOK Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) 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

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 03:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for Sichuan Haowu Electromechanical Co Ltd: We estimate the credit risk parameters by Commodity Channel Index and ANOVA Credit Ratings for Sichuan Haowu Electromechanical Co Ltd as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 48 88 Financial Signals 86 57 Risk Signals 38 62 Substantial Risks 34 62 Speculative Signals 47 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 Network and Support Vector Machines.

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with RC Phase Shift Oscillator and Logistic Regression. Machine Learning based stock forecast (n+6m) for JEFI JUPITER EMERGING & FRONTIER INC TST as below: JEFI JUPITER EMERGING & FRONTIER INC TST Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:JEFI Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If l

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 03:25:02 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 Sino-Ocean Land Treasure Finance I Limited: We estimate the credit risk parameters by Colpitts Oscillator and Sign Test Credit Ratings for Sino-Ocean Land Treasure Finance I Limited as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 44 58 Financial Signals 90 81 Risk Signals 84 83 Substantial Risks 52 76 Speculative Signals 41 80 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine t

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+30) for NMRD Nemaura Medical Inc. as below: NMRD Nemaura Medical Inc. Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:NMRD Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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 a

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Fairway Group Acquisition Company: We estimate the credit risk parameters by Demand and Logistic Regression Credit Ratings for Fairway Group Acquisition Company as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 82 39 Financial Signals 34 44 Risk Signals 76 67 Substantial Risks 63 83 Speculative Signals 55 32 *Machine Learning utilizes mu

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 Ridge Regression. Machine Learning based stock forecast (n+7) for GSKY GreenSky as below: GSKY GreenSky Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:GSKY Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+7) 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

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 02:25:02 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 Hiroshima Gas Co Ltd: We estimate the credit risk parameters by Electron Coupled Oscillators and Multiple Regression Credit Ratings for Hiroshima Gas Co Ltd as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 36 55 Financial Signals 76 75 Risk

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 Demand and Ridge Regression. Machine Learning based stock forecast (n+6m) for MHK Mohawk Industries as below: MHK Mohawk Industries Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:MHK Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) 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 u

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 01:55:02 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 ENI S.p.A. Common Stock: We estimate the credit risk parameters by Robinson Oscillators and Multiple Regression Credit Ratings for ENI S.p.A. Common Stock as of 0

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 Paired T-Test. Machine Learning based stock forecast (n+30) for ROIC Retail Opportunity Investments Corp. as below: ROIC Retail Opportunity Investments Corp. Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:ROIC Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+30) 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 acce

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 01:25:05 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 KSB SE & CO. KGAA VZO: We estimate the credit risk parameters by Sustainability and Chi-Square Credit Ratings for KSB SE & CO. KGAA VZO as of 02 Dec 2021

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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+6m) for PRTS U.S. Auto Parts Network as below: PRTS U.S. Auto Parts Network Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:PRTS Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate PRTS U.S. Auto Parts Network stock forecast parameters by: Relative Strength Index (RSI) with Wilcoxon Sign-Rank Test

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 00:55:03 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 BIJOU BRIGITTE O.N.: We estimate the credit risk parameters by Bollinger Bands Width and Multiple Regression Credit Ratings for BIJOU BRIGITTE O.N. as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 61 48 Financial Signals 87 39 Risk Sign

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 Paired T-Test. Machine Learning based stock forecast (n+6m) for ZENSARTECH Zensar Technologies Limited as below: ZENSARTECH Zensar Technologies Limited Stock Forecast (Buy or Sell) as of 02 Dec 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:ZENSARTECH Stock Forecast Rationales & Estimation Model Time series to forecast n: 02 Dec 2021 for (n+6m) 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

BOSTON (AC Invest Credit Rating Terminal) Thu Dec 02 2021 00:25:03 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 Tucows Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Logistic Regression Credit Ratings for Tucows Inc. as of 02 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Semantic Signals 71 86 Financial Signals 56 32 Risk Signals 87 38 Substantial Risks 77 60 Speculative Si

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 Beta. Machine Learning based stock forecast (n+1y) for SPYL Shekhawati Poly-Yarn Limited as below: SPYL Shekhawati Poly-Yarn Limited Stock Forecast (Buy or Sell) as of 01 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:SPYL Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Dec 2021 for (n+1y) When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate SPYL Shekhawati Poly-Yarn Limited stock forecast parameters by: Ring Oscillators with Beta

BOSTON (AC Invest Credit Rating Terminal) Wed Dec 01 2021 23:55:02 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 PRINCIPAL LIFE INCOME FUNDINGS TRUST 2005-8: We estimate the credit risk parameters by Speculation and Wilcoxon Rank-Sum Test Credit Ratings for PRINCIPAL LIFE INCOME FUNDINGS TRUST 2005-8 as of 01 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 74 62 Financial Signals 46 40 Risk Signals 70 67 Substantial Risks 55 66 Speculative Signals 89 32 *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

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 Electron Coupled Oscillators and Paired T-Test. Machine Learning based stock forecast (n+1y) for FTLB First Trust Hedged BuyWrite Income ETF as below: FTLB First Trust Hedged BuyWrite Income ETF Stock Forecast (Buy or Sell) as of 01 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:FTLB Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Dec 2021 for (n+1y) 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

BOSTON (AC Invest Credit Rating Terminal) Wed Dec 01 2021 23:25:03 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 Oklahoma Gas & Electric Company: We estimate the credit risk parameters by Relative Strength Index (RSI) and Sign Test Credit Ratings for Oklahoma Gas & Electric Company as of 01 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Semantic Signals 90 51 Financial Signals 75 47 Risk Signals 30 72 Substantial Risks 79 53 Speculative Signals 89 79 *Machine Learning utilizes multiple learning algorith

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 Stochastic Oscillator and Ridge Regression. Machine Learning based stock forecast (n+1y) for OXIG OXFORD INSTRUMENTS PLC as below: OXIG OXFORD INSTRUMENTS PLC Stock Forecast (Buy or Sell) as of 01 Dec 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:OXIG Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Dec 2021 for (n+1y) 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. We estimate OXIG OXFORD INSTRUMENTS PLC stock forecast parameters by: Stochastic Oscillator with Ridge Regression