Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Delay-Line Oscillators and Paired T-Test. Machine Learning based stock forecast (n+7) for WSR Whitestone REIT as below: WSR Whitestone REIT Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:WSR Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+7) 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. We estimate WSR Whitestone REIT stock forecast parameters by: Delay-Line

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for ClearPoint Federal Bank & Trust: We estimate the credit risk parameters by Exponential Moving Average (EMA) and ElasticNet Regression Credit Ratings for ClearPoint Federal Bank & Trust as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cla

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 Opto-Electronic Oscillators and Chi-Square. Machine Learning based stock forecast (n+6m) for HSD HANSARD GLOBAL PLC as below: HSD HANSARD GLOBAL PLC Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:HSD Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 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 HSD HANSARD GLOBAL PLC stock

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 10:25:03 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 Workiva Inc: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Logistic Regression Credit Ratings for Workiva Inc as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 89 90 Financial Signals 31 75 Risk Signals 37 72 Substantial Risks 59 45 Speculative Signals 44 56 *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 Logistic Regression. Machine Learning based stock forecast (n+3m) for CTIB Yunhong CTI Ltd. as below: CTIB Yunhong CTI Ltd. Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:CTIB Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+3m) We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a shorter time horizon. We estimate CTIB Yu

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for Mylan Inc.: We estimate the credit risk parameters by Cross-Coupled Oscillators and Sign Test Credit Ratings for Mylan Inc. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 69 88 Financial Signals 40 52 Risk Signals 52 80 Substantial Risks 86 78 Speculative Signals 34 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 Hartley Oscillator and Factor. Machine Learning based stock forecast (n+7) for MIDHANI Mishra Dhatu Nigam Limited as below: MIDHANI Mishra Dhatu Nigam Limited Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:MIDHANI Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+7) 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 MIDHANI Mis

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 09:25:03 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 Daido Metal Co., Ltd.: We estimate the credit risk parameters by Rating and Wilcoxon Rank-Sum Test Credit Ratings for Daido Metal Co., Ltd. as of 30 Nov 2021 Credit Rating Short-Term Long-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 Rank Correlation Index (RCI) and Beta. Machine Learning based stock forecast (n+3m) for PAAC Proficient Alpha Acquisition Corp. as below: PAAC Proficient Alpha Acquisition Corp. Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:PAAC Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+3m) 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 liquidit

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 08:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not include potential future debt issuances as a source of liquidity because of the uncertainty of a company's ability to access debt markets in times of financial stress, even for investment-grade issuers. For instance, in the case of a proposed financing, with the intended use of proceeds to repay existing debt, we will assess a company's liquidity excluding the proposed financing until it's obtained or fully underwritten. Rating Model for Base Inc: We estimate the credit risk parameters by Directional Movement Indicator and Wilcoxon Rank-Sum Test Credit Ratings for Base Inc as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 40 79 Financial Signals 69 55 Risk Signals 32 67 Substantial Risks 71 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 Gunn Oscillator and ANOVA. Machine Learning based stock forecast (n+15) for BSMM Invesco BulletShares 2022 Municipal Bond ETF as below: BSMM Invesco BulletShares 2022 Municipal Bond ETF Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:BSMM Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+15) 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 borrowin

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 08:25:03 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 Medical Properties Trust, Inc.: We estimate the credit risk parameters by KDJ and Factor Credit Ratings for Medical Properties Trust, Inc. as of 30 Nov 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 Robinson Oscillators and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+30) for GULPOLY Gulshan Polyols Limited as below: GULPOLY Gulshan Polyols Limited Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:GULPOLY Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 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 guara

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 07:55:04 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 TUFF GROUP AG: We estimate the credit risk parameters by Trend and Independent T-Test Credit Ratings for TUFF GROUP AG as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 68 62 Financi

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 Simple Regression. Machine Learning based stock forecast (n+7) for NNN National Retail Properties as below: NNN National Retail Properties Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:NNN Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+7) 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 geograph

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 07:25:02 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 Sypris Solutions, Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and ANOVA Credit Ratings for Sypris Solutions, Inc. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 57 36 Financial Signals 46 51 Risk Signals 38 76 Substantial Risks 55 79 Speculative Signals 59 56 *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 Price Oscillator (PPO) and ElasticNet Regression. Machine Learning based stock forecast (n+3m) for POL PolyOne Corporation as below: POL PolyOne Corporation Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:POL Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+3m) 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

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 06:55:03 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 Optum Bank, Inc.: We estimate the credit risk parameters by Chaikin Money Flow and Spearman Correlation Credit Ratings for Optum Bank, Inc. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 32 36 Financial Signals 80 78 Risk Signals 86 67 Substantial Risks 33 40 Speculative Signa

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 Crystal Oscillators and Multiple Regression. Machine Learning based stock forecast (n+3m) for CAMB CAMBRIA AUTOMOBILES PLC as below: CAMB CAMBRIA AUTOMOBILES PLC Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:CAMB Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+3m) 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 t

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 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 AMERICAN PRIDE BANK: We estimate the credit risk parameters by Aroon and Sign Test Credit Ratings for AMERICAN PRIDE BANK as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating

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 Independent T-Test. Machine Learning based stock forecast (n+6m) for MRIN Marin Software Incorporated as below: MRIN Marin Software Incorporated Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:MRIN Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+6m) 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. We estimate MRIN M

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Rating Model for VOLTABOX AG: We estimate the credit risk parameters by RC Phase Shift Oscillator and Factor Credit Ratings for VOLTABOX AG as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 71 74 Financial Signals 85 32 Risk Signals 64 72 Substantial 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 Wien Bridge Oscillator and ANOVA. Machine Learning based stock forecast (n+7) for CNET ChinaNet Online Holdings as below: CNET ChinaNet Online Holdings Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:CNET Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 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 CNET ChinaNet Online Holdings stock forecast parameters by: Wien Bridge Oscillator with A

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. Rating Model for MannKind Corporation: We estimate the credit risk parameters by Electron Coupled Oscillators and Simple Regression Credit Ratings for MannKind Corporation as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 84 42 Financial Signals 64 56 Risk Signals 40 61 Substantial Risks 82 60 Speculative Signals 65 35 *Machine Learning utilizes multiple learning algorithm

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Clapp Oscillators and Chi-Square. Machine Learning based stock forecast (n+7) for RITES RITES Limited as below: RITES RITES Limited Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:RITES Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+7) 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 C

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 04:55:03 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 Nishio Rent All Co Ltd: We estimate the credit risk parameters by Tuned Collector Oscillator and Logistic Regression Credit Ratings for Nishio Rent All Co Ltd as of 30 Nov 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 Average True Range (ATR) and Lasso Regression. Machine Learning based stock forecast (n+3m) for T AT&T Inc. as below: T AT&T Inc. Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:T Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+3m) 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 p

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 04:25:03 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 HARDIN COUNTY BANK: We estimate the credit risk parameters by Tri-tet Oscillators and Wilcoxon Rank-Sum Test Credit Ratings for HARDIN COUNTY BANK as of 30 Nov 2021 Credit Rating Short-Term Lon

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 Opto-Electronic Oscillators and Paired T-Test. Machine Learning based stock forecast (n+6m) for IBKCO IBERIABANK Corporation as below: IBKCO IBERIABANK Corporation Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:IBKCO Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+6m) 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. We estimate IBKCO IBERIABANK Corporation stock forecast parameters by: Opto-Electronic Os

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity. Rating Model for Allnex USA, Inc.: We estimate the credit risk parameters by Delay-Line Oscillators and Logistic Regression Credit Ratings for Allnex USA, Inc. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 88 63 Financial Signals 46 75 Risk Signals 68 47 Substantial Risks 55 87 Speculative Signals 79 58 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results fro

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 Simple Regression. Machine Learning based stock forecast (n+1y) for ORIENTELEC Orient Electric Limited as below: ORIENTELEC Orient Electric Limited Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:ORIENTELEC Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+1y) For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 03:25:03 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 LECIP CORPORATION: We estimate the credit risk parameters by Trend and Wilcoxon Sign-Rank Test Credit Ratings for LECIP CORPORATION as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 52 77 Financial Signals 37 47 Risk Signals 50 34 Substan

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 Polynomial Regression. Machine Learning based stock forecast (n+7) for INSM Insmed as below: INSM Insmed Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:INSM Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 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 INSM Insmed stock forecast parameters by: Tri-tet Oscillators with Polyno

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 02:55:05 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 FORT MADISON BANK AND TRUST: We estimate the credit risk parameters by RC Phase Shift Oscillator and Wilcoxon Rank-Sum Test Credit Ratings for FORT MADISON BANK 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 Bollinger Bands %B and Multiple Regression. Machine Learning based stock forecast (n+6m) for KELYB Kelly Services as below: KELYB Kelly Services Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:KELYB Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+6m) 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 KELYB Kelly Services stock forecast parameters by: Bollinger Bands %B with Multiple Regression

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 02:25:02 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 The Portage County Bank: We estimate the credit risk parameters by Opto-Electronic Oscillators and Logistic Regression Credit Ratings for The Portage County Bank as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 74 85 Financial Signals 58 89 Risk Signals 31 73 Substantial Risks 49 76 Speculative Signals 84 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 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 Chaikin Money Flow and Stepwise Regression. Machine Learning based stock forecast (n+6m) for GIII G as below: GIII G Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:GIII Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+6m) 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

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for Wausau Business Insurance Company: We estimate the credit risk parameters by Money Flow Index (MFI) and Multiple Regression Credit Ratings for Wausau Business Insurance Company as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 53 50 Financial Signals 44 70 Risk Signals 73 43 Substantial Risks 79 31 Speculative Signals 81 54 *Machine Learning utilizes mul

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Expectation and Linear Regression. Machine Learning based stock forecast (n+1y) for AGRO Adecoagro S.A. as below: AGRO Adecoagro S.A. Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:AGRO Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 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 AGRO Adecoagro S.A. stock forecast parameters by: Expectation with Linear Regression

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 01:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not 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 Tonghua Dongbao Pharmaceutical Co., Ltd.: We estimate the credit risk parameters by RC Phase Shift Oscillator and Multiple Regression Credit Ratings for Tonghua Dongbao Pharmaceutical Co., Ltd. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 82 47 Financial Signals 32 54 Risk Signals 52 41 Substantial Risks 45 84 Speculative Signals 34 70 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Speculation and ElasticNet Regression. Machine Learning based stock forecast (n+7) for PZC PIMCO California Municipal Income Fund III as below: PZC PIMCO California Municipal Income Fund III Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:PZC Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+7) 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 a

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity. Rating Model for ATKINS SAVINGS BANK&TRUST: We estimate the credit risk parameters by Commodity Channel Index and Independent T-Test Credit Ratings for ATKINS SAVINGS BANK&TRUST as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 40 58 Financial Signals 84 32 Risk Signals 44 74 Substantial Risks 52 61 Speculative Signals 73 90 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning 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 Volume + Moving Average and Polynomial Regression. Machine Learning based stock forecast (n+6m) for TDJ Telephone and Data Systems as below: TDJ Telephone and Data Systems Stock Forecast (Buy or Sell) as of 30 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NYSE:TDJ Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Nov 2021 for (n+6m) We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 30 2021 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for Fairway Group Holdings Corp.: We estimate the credit risk parameters by Profit and Independent T-Test Credit Ratings for Fairway Group Holdings Corp. as of 30 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 64 56 Financial Signals 60 55 Risk Signals 67 72 Substantial Risks 30 34 Speculative Signals 37 32 *Machine Learning utilizes multiple

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 Colpitts Oscillator and Pearson Correlation. Machine Learning based stock forecast (n+15) for PLAY Dave & Buster's Entertainment as below: PLAY Dave & Buster's Entertainment Stock Forecast (Buy or Sell) as of 29 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:PLAY Stock Forecast Rationales & Estimation Model Time series to forecast n: 29 Nov 2021 for (n+15) 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. We estimate PLAY Dave & Buster's Entertainment stock for

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 29 2021 23:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for CIFC Corp.: We estimate the credit risk parameters by Relative Strength Index (RSI) and Ridge Regression Credit Ratings for CIFC Corp. as of 29 Nov

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 Sign Test. Machine Learning based stock forecast (n+3m) for GFHG GRAND FORTUNE HIGH GRADE LIMITED as below: GFHG GRAND FORTUNE HIGH GRADE LIMITED Stock Forecast (Buy or Sell) as of 29 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:GFHG Stock Forecast Rationales & Estimation Model Time series to forecast n: 29 Nov 2021 for (n+3m) 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 GFHG GRAND FORTUNE HIGH GRADE LIMITED stock forecast para

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 29 2021 23:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Enanta Pharmaceuticals, Inc.: We estimate the credit risk parameters by RRS and Chi-Square Credit Ratings for Enanta Pharmaceuticals, Inc. as of 29 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 63 38 Financial Signals 34 86 Risk Signals 62 36 Substantial Risks 43 82 Speculative Signals 31 48 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers

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 Sustainability and Sign Test. Machine Learning based stock forecast (n+3m) for OPHC OptimumBank Holdings as below: OPHC OptimumBank Holdings Stock Forecast (Buy or Sell) as of 29 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NASDAQ:OPHC Stock Forecast Rationales & Estimation Model Time series to forecast n: 29 Nov 2021 for (n+3m) 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 OPHC OptimumBank Hold

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 29 2021 22:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. Rating Model for CITY OF LONDON INVESTMENT TRUST PLC: We estimate the credit risk parameters by Ring Oscillators and Pearson Correlation Credit Ratings for CITY OF LONDON INVESTMENT TRUST PLC as of 29 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 73 85 Financial Signals 51 90 Risk Signals 61 68 Substantial Risks 90 64 Speculative Signals 52 81 *Machine Learning utilizes multi

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Expectation and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for SOLARINDS Solar Industries India Limited as below: SOLARINDS Solar Industries India Limited Stock Forecast (Buy or Sell) as of 29 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % NSE:SOLARINDS Stock Forecast Rationales & Estimation Model Time series to forecast n: 29 Nov 2021 for (n+1y) 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 irrevoc

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 29 2021 22:25:02 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 Huaxun Fangzhou Co Ltd: We estimate the credit risk parameters by Profit and Independent T-Test Credit Ratings for Huaxun Fangzhou Co Ltd as of 29 Nov 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 Anomaly and Multiple Regression. Machine Learning based stock forecast (n+1y) for FAS FIDELITY ASIAN VALUES PLC as below: FAS FIDELITY ASIAN VALUES PLC Stock Forecast (Buy or Sell) as of 29 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % LON:FAS Stock Forecast Rationales & Estimation Model Time series to forecast n: 29 Nov 2021 for (n+1y) 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