Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with KDJ and Polynomial Regression. Machine Learning based stock forecast (n+7) for ADIG ABERDEEN DIVERSIFIED INC & GWTH TST as below: ADIG ABERDEEN DIVERSIFIED INC & GWTH TST Stock Forecast (Buy or Sell) as of 04 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 % LON:ADIG Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+7) 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 proportio

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 10:55:02 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 Japan Post Insurance Co Ltd: We estimate the credit risk parameters by Anomaly and Factor Credit Ratings for Japan Post Insurance Co Ltd as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba2 Semantic Signals 31 75 Financial Signals 88 70 Risk Signals 38 50 Substantial Risks 51 63 Speculative Signals 51 75 *Machine Lear

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 Lasso Regression. Machine Learning based stock forecast (n+7) for CLSN CALISEN PLC as below: CLSN CALISEN PLC Stock Forecast (Buy or Sell) as of 04 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 % LON:CLSN Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+7) 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

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 10:25:02 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 Gulf Power Company Series 2011A 5.75% Senior Notes due June 1, 2051: We estimate the credit risk parameters by Price Oscillator (PPO) and Independent T-Test Credit Ratings for Gulf Power Company Series 2011A 5.75% Senior Notes due

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Accumulation Distribution Line and Simple Regression. Machine Learning based stock forecast (n+30) for SHIVATEX Shiva Texyarn Limited as below: SHIVATEX Shiva Texyarn Limited Stock Forecast (Buy or Sell) as of 04 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:SHIVATEX Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+30) 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

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 09:55:02 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 FIRST VALLEY NATIONAL CORP.: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Multiple Regression Credit Ratings for FIRST VALLEY NATIONAL CORP. as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 49 64 Financial Signals 72 72 Risk Signals 46 79 Substantial Risks 50 33 Speculative Signals 82 85 *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

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Modified (Smoothed) Moving Average and Ridge Regression. Machine Learning based stock forecast (n+6m) for RECLTD REC Limited as below: RECLTD REC Limited Stock Forecast (Buy or Sell) as of 04 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:RECLTD Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+6m) 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. We estimate RECLTD REC Li

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for FIRST STATE BANK OF PORTER: We estimate the credit risk parameters by Wien Bridge Oscillator and Pearson Correlation Credit Ratings for FIRST STATE BANK OF PORTER as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 59 66 Financial Signals 53 72 Risk Signals 44 57 Substantial Risks 52 33 Speculative Signals 31 57 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our r

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Anomaly and ElasticNet Regression. Machine Learning based stock forecast (n+1y) for TLC Taiwan Liposome Company as below: TLC Taiwan Liposome Company Stock Forecast (Buy or Sell) as of 04 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:TLC Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 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 repay existing debt, we will assess a company&

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 08:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through our assumption of peak CP amount. Rating Model for Frontier Communications Corporation: We estimate the credit risk parameters by Volume + Moving Average and Stepwise Regression Credit Ratings for Frontier Communications Corporation as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 56 80 Financial Signals 40 53 Risk Signals 41 77 Substantial Risks 86 70 Speculative Signal

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 Commodity Channel Index and ElasticNet Regression. Machine Learning based stock forecast (n+30) for VAR Varian Medical Systems as below: VAR Varian Medical Systems Stock Forecast (Buy or Sell) as of 04 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:VAR Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 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 at least

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 08:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for Forbes Energy Services Ltd: We estimate the credit risk parameters by Money Flow Index (MFI) and Ridge Regression Credit Ratings for Forbes Energy Services Ltd as

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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for XELB Xcel Brands as below: XELB Xcel Brands Stock Forecast (Buy or Sell) as of 04 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 % NASDAQ:XELB Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+3m) If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an e

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 07:55:02 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 Baota Industry Co Ltd: We estimate the credit risk parameters by Volume + Moving Average and Spearman Correlation Credit Ratings for Baota Industry Co Ltd as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI

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 Beta. Machine Learning based stock forecast (n+15) for ONEM 1Life Healthcare as below: ONEM 1Life Healthcare Stock Forecast (Buy or Sell) as of 04 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 % NASDAQ:ONEM Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+15) Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 07:25:03 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 Innovation Pharmaceuticals Inc: We estimate the credit risk parameters by Price Channels and Spearman Correlation Credit Ratings for Innovation Pharmaceuticals Inc as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cl

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Tri-tet Oscillators and Pearson Correlation. Machine Learning based stock forecast (n+3m) for TRF TRF Limited as below: TRF TRF Limited Stock Forecast (Buy or Sell) as of 04 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:TRF Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+3m) 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 ex

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 06:55:02 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 CITIZENS FIRST BANK: We estimate the credit risk parameters by Bollinger Bands Width and Sign Test Credit Ratings for CITIZENS FIRST BANK as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 81 37 Financial Signals 72 77 Risk Signals 48 74 Substantial Risks 72 57 Speculative Signals 49 66 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize mac

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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for BPYPN Brookfield Property Partners L.P. as below: BPYPN Brookfield Property Partners L.P. Stock Forecast (Buy or Sell) as of 04 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 % NASDAQ:BPYPN Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+15) 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

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 06:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. Rating Model for Human Associates Holdings Inc: We estimate the credit risk parameters by Keltner Channels and Factor Credit Ratings for Human Associates Holdings Inc as of 04 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 Psychological Line (PSY) and Simple Regression. Machine Learning based stock forecast (n+3m) for GLW Corning Incorporated as below: GLW Corning Incorporated Stock Forecast (Buy or Sell) as of 04 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 % NYSE:GLW Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+3m) 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,

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 05:55:18 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Superior Vision Insurance, Inc.: We estimate the credit risk parameters by Wien Bridge Oscillator and Pearson Correlation Credit Ratings for Superior Vision Insurance, Inc. as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 51 49 Financial Signals 61 90 Risk Signals 48 35 Substantial Risks 77 34 Speculative Signals 85 42 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine lear

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 Ridge Regression. Machine Learning based stock forecast (n+3m) for WBI WOODBOIS LIMITED as below: WBI WOODBOIS LIMITED Stock Forecast (Buy or Sell) as of 04 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:WBI Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+3m) For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppl

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 05:25:03 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 Tempo Acquisition LLC: We estimate the credit risk parameters by OCL and Pearson Correlation Credit Ratings for Tempo Acquisition LLC as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 37 40 Financial Signals 46 75 Risk Signals 72 54 Substantial Risks 54 78 Speculative Signals 30 37 *Machine

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 On Balance Volume (OBV) and ElasticNet Regression. Machine Learning based stock forecast (n+3m) for BIB ProShares Ultra Nasdaq Biotechnology as below: BIB ProShares Ultra Nasdaq Biotechnology Stock Forecast (Buy or Sell) as of 04 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 % NASDAQ:BIB Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+3m) In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity. We estimate BIB ProShares Ultra Nasdaq Biotechnology stock for

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 04:55:02 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 Zayo Group Holdings Inc: We estimate the credit risk parameters by Royer Oscillators and Multiple Regression Credit Ratings for Zayo Group Holdings Inc as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 70 59 Financial Signals 40 40 Risk 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 Price Oscillator (PPO) and ElasticNet Regression. Machine Learning based stock forecast (n+15) for TLND Talend S.A. as below: TLND Talend S.A. Stock Forecast (Buy or Sell) as of 04 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 % NASDAQ:TLND Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+15) 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 issue

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 04:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Beijing Yuanlong Yat Cltre Dsemnt Co Ltd: We estimate the credit risk parameters by Heikin-Ashi and Spearman Correlation Credit Ratings for Beijing Yuanlong Yat Cltre Dsemnt Co Ltd as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 47 67 Financial Signals 44 63 Risk Signals 59 48 Substantial Risks 52 73 Speculative Signals 51 35 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machi

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 Exponential Moving Average (EMA) and Stepwise Regression. Machine Learning based stock forecast (n+7) for LINCOLN Lincoln Pharmaceuticals Limited as below: LINCOLN Lincoln Pharmaceuticals Limited Stock Forecast (Buy or Sell) as of 04 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 % NSE:LINCOLN Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+7) 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 req

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 03:55:03 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 Determine, Inc.: We estimate the credit risk parameters by Ratiocator (RAT) and Wilcoxon Sign-Rank Test Credit Ratings for Determine, Inc. as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 70 53 Financial Signals 37 64 Risk Signals 57 41 Substantial Risks 56 90 Speculative Signal

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 Factor. Machine Learning based stock forecast (n+6m) for GENC Gencor Industries Inc. as below: GENC Gencor Industries Inc. Stock Forecast (Buy or Sell) as of 04 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:GENC Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+6m) 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 maturit

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 03:25:02 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 Shanghai Carthane Co Ltd: We estimate the credit risk parameters by Bollinger Bands and Pearson Correlation Credit Ratings for Shanghai Carthane Co Ltd as of 04 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 Psychological Line (PSY) and Simple Regression. Machine Learning based stock forecast (n+15) for SATIN Satin Creditcare Network Limited as below: SATIN Satin Creditcare Network Limited Stock Forecast (Buy or Sell) as of 04 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 % NSE:SATIN Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+15) 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 examp

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. Rating Model for Architects Studio Japan Inc: We estimate the credit risk parameters by Royer Oscillators and Simple Regression Credit Ratings for Architects Studio Japan Inc as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 55 88 Financial Signals 55 84 Risk Signals 62 82 Substantial Risks 84 64 Speculative Signals 61 78 *Machine Learning utilizes multiple learning algorithms to obtain better

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 ElasticNet Regression. Machine Learning based stock forecast (n+1y) for CHE Chemed Corp as below: CHE Chemed Corp Stock Forecast (Buy or Sell) as of 04 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 % NYSE:CHE Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 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 CHE Chemed Corp stock forecast parameters by: Tuned Collector Oscillator with ElasticNet Regression

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 02:25:03 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 VILLA GROVE BANCSHARES, INC.: We estimate the credit risk parameters by Hartley Oscillator and Paired T-Test Credit Ratings for VILLA GROVE BANCSHARES, INC. as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 55 48 Financial Signals 66 78 Risk Signals 86 42 Substantial Risks 35 67

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Gunn Oscillator and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+30) for PAC PACIFIC ASSETS TRUST PLC as below: PAC PACIFIC ASSETS TRUST PLC Stock Forecast (Buy or Sell) as of 04 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:PAC Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+30) 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 PAC P

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for Techfirm Holdings Inc: We estimate the credit risk parameters by Chaikin Oscillator and Beta Credit Ratings for Techfirm Holdings Inc as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 37 37 Financial Signals 59 79 Risk Signals 35 7

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 Factor. Machine Learning based stock forecast (n+1y) for INSU Insurance Acquisition Corp. as below: INSU Insurance Acquisition Corp. Stock Forecast (Buy or Sell) as of 04 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:INSU Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+1y) When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and ex

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 01:25:03 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 Titan International, Inc. Common Stock: We estimate the credit risk parameters by Bollinger Bands %B and Spearman Correlation Credit Ratings for Titan International, Inc. Common Stock as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 47 75 Financial Signals 42 47 Risk Signals 44 88 Substantial Risks 83 58 Speculative Signals 55 78 *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 Volume + Moving Average and Sign Test. Machine Learning based stock forecast (n+15) for GLP Global Partners LP Global Partners LP as below: GLP Global Partners LP Global Partners LP Stock Forecast (Buy or Sell) as of 04 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 % NYSE:GLP Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+15) 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 evalu

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 00:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Twinlab Consolidated Holdings Inc: We estimate the credit risk parameters by Bollinger Bands %B and Lasso Regression Credit Ratings for Twinlab Consolidated Holdings Inc as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 75 85 Financial Signals 46 57 Risk Signals 51 45 Substantial Risks 30 44 Speculative Signals 46 60 *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 Electron Coupled Oscillators and Independent T-Test. Machine Learning based stock forecast (n+6m) for IHC Independence Holding Company as below: IHC Independence Holding Company Stock Forecast (Buy or Sell) as of 04 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:IHC Stock Forecast Rationales & Estimation Model Time series to forecast n: 04 Dec 2021 for (n+6m) 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 stron

BOSTON (AC Invest Credit Rating Terminal) Sat Dec 04 2021 00:25:03 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 ABERFORTH SMALLER COMPANIES TRUST PLC: We estimate the credit risk parameters by On Balance Volume (OBV) and Simple Regression Credit Ratings for ABERFORTH SMALLER COMPANIES TRUST PLC as of 04 Dec 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 58 52 Financial Signals 52 59 Risk Signals 51 59 Substantial Risks 38 45 Speculative Signals 81 83 *Machine Learning utilizes multiple learning algo

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Penetration and Factor. Machine Learning based stock forecast (n+7) for SPNE SeaSpine Holdings Corporation as below: SPNE SeaSpine Holdings Corporation Stock Forecast (Buy or Sell) as of 03 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:SPNE Stock Forecast Rationales & Estimation Model Time series to forecast n: 03 Dec 2021 for (n+7) 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 SPNE SeaSpine Holdings Corporation stock forecast parameters by: Penetration with Factor

BOSTON (AC Invest Credit Rating Terminal) Fri Dec 03 2021 23:55:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for China Animal Husbandry Industry Co., Ltd: We estimate the credit risk parameters by Directional Movement Indicator and Independent T-Test Credit Ratings for China Animal Husbandry Industry Co

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 Factor. Machine Learning based stock forecast (n+15) for HTWS HELIOS TOWERS PLC as below: HTWS HELIOS TOWERS PLC Stock Forecast (Buy or Sell) as of 03 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:HTWS Stock Forecast Rationales & Estimation Model Time series to forecast n: 03 Dec 2021 for (n+15) 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

BOSTON (AC Invest Credit Rating Terminal) Fri Dec 03 2021 23:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for JM Holdings Co Ltd: We estimate the credit risk parameters by Commodity Channel Index and ANOVA Credit Ratings for JM Holdings Co Ltd as of 03 Dec 2021 Credit Rating Short-Term Long-Term Senior

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 Factor. Machine Learning based stock forecast (n+6m) for HIMX Himax Technologies as below: HIMX Himax Technologies Stock Forecast (Buy or Sell) as of 03 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:HIMX Stock Forecast Rationales & Estimation Model Time series to forecast n: 03 Dec 2021 for (n+6m) 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). We estimate HIMX Himax Technologies stock fo

BOSTON (AC Invest Credit Rating Terminal) Fri Dec 03 2021 22:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for HANATOUR SERVICE INC.: We estimate the credit risk parameters by Bollinger Bands Width and ANOVA Credit Ratings for HANATOUR SERVICE INC. as of 03 Dec 2021 Credit Rating Short-Ter

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 Sign Test. Machine Learning based stock forecast (n+7) for UNH UnitedHealth Group Incorporated as below: UNH UnitedHealth Group Incorporated Stock Forecast (Buy or Sell) as of 03 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 % NYSE:UNH Stock Forecast Rationales & Estimation Model Time series to forecast n: 03 Dec 2021 for (n+7) 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.