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Showing posts from November 21, 2021

NASDAQ:EYPT Stock Forecast, Price Targets (Buy or Sell) EYPT EyePoint Pharmaceuticals

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 Pearson Correlation. Machine Learning based stock forecast (n+30) for EYPT EyePoint Pharmaceuticals as below: EYPT EyePoint Pharmaceuticals Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+30) In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with a

HERITAGE FIRST BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 10:55:02 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 HERITAGE FIRST BANK: We estimate the credit risk parameters by Accumulation Distribution Line and Beta Credit Ratings for HERITAGE FIRST BANK as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 51 43 Financial Signals 71 61 Risk Signals 81 50 Substantial Risks 39 83 Speculative Signals 35 57 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from t

NASDAQ:PAAS Stock Forecast, Price Targets (Buy or Sell) PAAS Pan American Silver Corp.

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 OCL and Pearson Correlation. Machine Learning based stock forecast (n+6m) for PAAS Pan American Silver Corp. as below: PAAS Pan American Silver Corp. Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+6m) Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturn

RCM Technologies, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 10:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for RCM Technologies, Inc.: We estimate the credit risk parameters by Voltage Controlled Oscillator and Pearson Correlation Credit Ratings for RCM Technologies, Inc. as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 33 88 Financial Signals 62 77 Risk Signals 76 40 Substantial Risks 73 54 Speculative Signals 38 58 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combin

NYSE:THG Stock Forecast, Price Targets (Buy or Sell) THG Hanover Insurance Group Inc

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 ANOVA. Machine Learning based stock forecast (n+3m) for THG Hanover Insurance Group Inc as below: THG Hanover Insurance Group Inc Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 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 THG Hanover Insurance Group

Jiangsu Olive Sensors High-Tech Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 09:55:16 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a shorter time horizon. Rating Model for Jiangsu Olive Sensors High-Tech Co Ltd: We estimate the credit risk parameters by Accumulation Distribution Line and Ridge Regression Credit Ratings for Jiangsu Olive Sensors High-Tech Co Ltd as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 79 86 Financial Signals 45 47 Risk Signals 90 31 Substantial Risks 32 80 Speculative Signals 73 53 *Machine Lea

NASDAQ:NTAP Stock Forecast, Price Targets (Buy or Sell) NTAP NetApp

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 Ridge Regression. Machine Learning based stock forecast (n+30) for NTAP NetApp as below: NTAP NetApp Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+30) 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 NTAP NetApp stock forecast parameters by: Wien Bri

Traverse Midstream Partners LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 09:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Traverse Midstream Partners LLC: We estimate the credit risk parameters by Rate of Change (ROC) and Sign Test Credit Ratings for Traverse Midstream Partners LLC as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 45 55 Financial Signals 71 66 Risk Signals 76 75 Substantial Risks 89 47 Speculative Signals 36 30 *Machine Learning utilizes multiple learning algorithms to obtain better predic

NSE:KERNEX Stock Forecast, Price Targets (Buy or Sell) KERNEX Kernex Microsystems (India) Limited

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 Rate of Change (ROC) and ElasticNet Regression. Machine Learning based stock forecast (n+1y) for KERNEX Kernex Microsystems (India) Limited as below: KERNEX Kernex Microsystems (India) Limited Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+1y) 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

SSB HOLDINGS, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 08:55:02 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 SSB HOLDINGS, INC.: We estimate the credit risk parameters by Anomaly and Pearson Correlation Credit Ratings for SSB HOLDINGS, INC. as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 56 85 Financial Signals 48 42 Risk Signals 47 49 Substantial Risks 36 45 Speculative Signals 76 88 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine le

LON:NEXS Stock Forecast, Price Targets (Buy or Sell) NEXS NEXUS INFRASTRUCTURE PLC

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 Factor. Machine Learning based stock forecast (n+3m) for NEXS NEXUS INFRASTRUCTURE PLC as below: NEXS NEXUS INFRASTRUCTURE PLC Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+3m) 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

RACCOON VALLEY BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 08:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for RACCOON VALLEY BANK: We estimate the credit risk parameters by Speculation and Wilcoxon Sign-Rank Test Credit Ratings for RACCOON VALLEY BANK as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic

NASDAQ:PDSB Stock Forecast, Price Targets (Buy or Sell) PDSB PDS Biotechnology Corporation

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Parabolic SAR (PSAR) and Polynomial Regression. Machine Learning based stock forecast (n+6m) for PDSB PDS Biotechnology Corporation as below: PDSB PDS Biotechnology Corporation Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+6m) 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. We estimate PDSB PDS Biotechnology Corporation stock forecast parameters by: Parabolic SAR (PSAR) with Polynomial Regression NASDAQ:PDSB

ZFS Finance Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 07:55:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for ZFS Finance: We estimate the credit risk parameters by Price Channels and Stepwise Regression Credit Ratings for ZFS Finance as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 73 48 Financial Signals 53 34 Risk Signals 43 74 Substantial Risks 87 48 Speculative Signals 46 38 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to co

NYSE:PER Stock Forecast, Price Targets (Buy or Sell) PER SandRidge Permian Trust

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 Independent T-Test. Machine Learning based stock forecast (n+3m) for PER SandRidge Permian Trust as below: PER SandRidge Permian Trust Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 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 PER SandRidge Permian Trust stock forecast parameters by: Expectation with Independent T-Test NYSE:P

Daikokuya Holdings Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 07:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. Rating Model for Daikokuya Holdings Co Ltd: We estimate the credit risk parameters by Profit and Linear Regression Credit Ratings for Daikokuya Holdings Co Ltd as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 80 56 Financial Signals 35 31 Risk Signals 65 86

NSE:PREMIERPOL Stock Forecast, Price Targets (Buy or Sell) PREMIERPOL Premier Polyfilm Limited

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Money Flow Index (MFI) and Lasso Regression. Machine Learning based stock forecast (n+30) for PREMIERPOL Premier Polyfilm Limited as below: PREMIERPOL Premier Polyfilm Limited Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+30) 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 sp

NSG Holdings, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 06:55:02 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 NSG Holdings, LLC: We estimate the credit risk parameters by Stochastic Oscillator and Factor Credit Ratings for NSG Holdings, LLC as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 66 56 Financial Signals 81 78 Risk Signals 66 71 Substantial Risks 72 70 Speculative Signals 68 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our r

NASDAQ:XNCR Stock Forecast, Price Targets (Buy or Sell) XNCR Xencor

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 Spearman Correlation. Machine Learning based stock forecast (n+3m) for XNCR Xencor as below: XNCR Xencor Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 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 peak CP amount. We estimate X

Putnam High Income Securities Fund Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Putnam High Income Securities Fund Common Stock: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Linear Regression Credit Ratings for Putnam High Income Securities Fund Common Stock as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 68 85 Financial Signals 72 43 Risk Signals 73 45 Substantial Risks 34 44 Speculative Signals 43 75 *Machine Learning ut

NASDAQ:MCRB Stock Forecast, Price Targets (Buy or Sell) MCRB Seres Therapeutics

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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+15) for MCRB Seres Therapeutics as below: MCRB Seres Therapeutics Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 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 MCRB Seres Therapeutics stock forecast parameters by: FS with Wilcoxon Sign-Rank Test NASDAQ:MCRB

VALUEBANK TEXAS Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for VALUEBANK TEXAS: We estimate the credit risk parameters by Multi-Wave Oscillators and Independent T-Test Credit Ratings for VALUEBANK TEXAS as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 78 42 Financial Signals 73 72 Risk Signals 81 36 Substantial Risks 61 38 Speculative Signals 84 73 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our

LON:BRD Stock Forecast, Price Targets (Buy or Sell) BRD BLUEROCK DIAMONDS PLC

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Aroon and ANOVA. Machine Learning based stock forecast (n+3m) for BRD BLUEROCK DIAMONDS PLC as below: BRD BLUEROCK DIAMONDS PLC Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 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 BRD BLUEROCK DIAMONDS PLC stock forecast param

Radian Group Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 05:25:03 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 Radian Group Inc. Common Stock: We estimate the credit risk parameters by Bollinger Bands %B and Factor Credit Ratings for Radian Group Inc. Common Stock as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 56 86 Financial Signals 59 33 Risk Signals 81 63 Substantial Risks 58 34 Speculative Signals 41 61 *Machine Learning utilizes multiple learning algorithm

NASDAQ:VNOM Stock Forecast, Price Targets (Buy or Sell) VNOM Viper Energy Partners LP

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 Linear Regression. Machine Learning based stock forecast (n+30) for VNOM Viper Energy Partners LP as below: VNOM Viper Energy Partners LP Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+30) 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. We es

NAKANISHI MFG. CO., LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 04:55:03 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 NAKANISHI MFG. CO., LTD.: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Linear Regression Credit Ratings for NAKANISHI MFG. CO., LTD. as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba1 Semantic Signals 65 70 Financial Signals 45 72 Risk Signals 37 87 Substantial Risks 87 34 Speculative Signals 71 88 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to

NSE:AKSHARCHEM Stock Forecast, Price Targets (Buy or Sell) AKSHARCHEM AksharChem India Limited

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Chaikin Oscillator and Linear Regression. Machine Learning based stock forecast (n+3m) for AKSHARCHEM AksharChem India Limited as below: AKSHARCHEM AksharChem India Limited Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+3m) 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 AKSHARCHEM AksharChem India Limited sto

Howard Hughes Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 04:25:03 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 Howard Hughes Corp: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Factor Credit Ratings for Howard Hughes Corp as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 50 78 Financial Signals 49 40 Risk Signals 76 86 Substantial Risks 64 88 Speculative Signals 62 70 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from t

LON:PTR Stock Forecast, Price Targets (Buy or Sell) PTR PETRONEFT RESOURCES PLC

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Aroon and Pearson Correlation. Machine Learning based stock forecast (n+7) for PTR PETRONEFT RESOURCES PLC as below: PTR PETRONEFT RESOURCES PLC Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+7) 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 PTR PETRONEFT RESOURCES PLC stock forecast parameters by: Aroon with Pearson Correlation LON:PTR

Zhong An Group Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 03:55:03 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 Zhong An Group Ltd: We estimate the credit risk parameters by Profit and Multiple Regression Credit Ratings for Zhong An Group Ltd as of 22 Nov 2021

NASDAQ:NMCI Stock Forecast, Price Targets (Buy or Sell) NMCI Navios Maritime Containers L.P.

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 Ridge Regression. Machine Learning based stock forecast (n+3m) for NMCI Navios Maritime Containers L.P. as below: NMCI Navios Maritime Containers L.P. Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+3m) 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 gra

MIDDLESEX FEDERAL SAVINGS Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 03:25:03 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 MIDDLESEX FEDERAL SAVINGS: We estimate the credit risk parameters by Tuned Collector Oscillator and Lasso Regression Credit Ratings for MIDDLESEX FEDERAL SAVINGS as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 56 36 Financial Signals 42 53 Risk Signals 51 71 Substantial Risks 47 61 Speculati

LON:NTV Stock Forecast, Price Targets (Buy or Sell) NTV NORTHERN 2 VCT PLC

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Channels and Linear Regression. Machine Learning based stock forecast (n+15) for NTV NORTHERN 2 VCT PLC as below: NTV NORTHERN 2 VCT PLC Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+15) 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 differ

Merey Sweeny L.P Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 02:55:02 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 Merey Sweeny L.P: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Sign Test Credit Ratings for Merey Sweeny L.P as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Semantic Signals 80 31 Financial Signals 88 76 Risk Signals 81 8

NYSE:FNB Stock Forecast, Price Targets (Buy or Sell) FNB F.N.B. Corporation

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Multiple Regression. Machine Learning based stock forecast (n+7) for FNB F.N.B. Corporation as below: FNB F.N.B. Corporation Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+7) 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 FNB F.N.B. Corporation stock forecast parameters by: Ring Oscillators with Multiple Regression NYSE:FNB

Carchs Holdings Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 02:25:02 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 Carchs Holdings Co Ltd: We estimate the credit risk parameters by Average True Range (ATR) and Chi-Square Credit Ratings for Carchs Holdings Co Ltd as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 76 55 Financial Signals 69 60 Risk Signals 31 65 Substantial Risks 61 68 Speculative Signals 88 53 *Machine Learning utiliz

NASDAQ:VOXX Stock Forecast, Price Targets (Buy or Sell) VOXX VOXX International Corporation

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Channels and Paired T-Test. Machine Learning based stock forecast (n+3m) for VOXX VOXX International Corporation as below: VOXX VOXX International Corporation Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+3m) 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 compani

T-Mobile USA, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 01:55:03 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 T-Mobile USA, Inc.: We estimate the credit risk parameters by Wien Bridge Oscillator and Lasso Regression Credit Ratings for T-Mobile USA, Inc. as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B3 Semantic Signals 69 30 Financial Signals 70 45 Risk Signals 62 46 Substantial Risks 77 66 Speculative Signals 82 36 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powe

NASDAQ:BCBP Stock Forecast, Price Targets (Buy or Sell) BCBP BCB Bancorp

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 Paired T-Test. Machine Learning based stock forecast (n+15) for BCBP BCB Bancorp as below: BCBP BCB Bancorp Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+15) 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 BCBP BCB Bancorp stock forecast parameters by: Chaikin Money Flow with Paired

TBC BANK GROUP PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 01:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for TBC BANK GROUP PLC: We estimate the credit risk parameters by Pierce Oscillators and Wilcoxon Rank-Sum Test Credit Ratings for TBC BANK GROUP PLC as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba3 Semantic Signals 72 52 Financial Signals 72 37 Risk Signals 69 88 Substantial Risks 67 52 Speculative Signals 90 85 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utiliz

NSE:BRIGADE Stock Forecast, Price Targets (Buy or Sell) BRIGADE Brigade Enterprises Limited

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 Logistic Regression. Machine Learning based stock forecast (n+30) for BRIGADE Brigade Enterprises Limited as below: BRIGADE Brigade Enterprises Limited Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 2021 for (n+30) 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 evaluatin

Onespan Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 00:55:02 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 Onespan Inc: We estimate the credit risk parameters by Simple Moving Average (SMA) and Logistic Regression Credit Ratings for Onespan Inc as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 49 82 Financial Signals 69 58 Risk Signals 75 70 Substantial Risks 51 75 Speculative Signals 70 77 *Machine Learning utilizes multiple learning algorithms to obtain bet

NASDAQ:FNY Stock Forecast, Price Targets (Buy or Sell) FNY First Trust Mid Cap Growth AlphaDEX Fund

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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for FNY First Trust Mid Cap Growth AlphaDEX Fund as below: FNY First Trust Mid Cap Growth AlphaDEX Fund Stock Forecast (Buy or Sell) as of 22 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Nov 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 irrevoc

Powell Industries, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 22 2021 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Powell Industries, Inc.: We estimate the credit risk parameters by Adaptive Moving Average and Linear Regression Credit Ratings for Powell Industries, Inc. as of 22 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 50 47 Financial Signals 56 87 Risk Signals 65 38 Substantial Risks 55 30 Speculative Signals 71 62 *Machine Learning utilizes multipl

NASDAQ:VIAC Stock Forecast, Price Targets (Buy or Sell) VIAC ViacomCBS Inc.

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+1y) for VIAC ViacomCBS Inc. as below: VIAC ViacomCBS Inc. Stock Forecast (Buy or Sell) as of 21 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 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 VIAC ViacomCBS Inc. stock forecast parameters by: Average True Range (ATR) with Lasso Regression NASDAQ:V

H&T GROUP PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Nov 21 2021 23:55:01 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 H&T GROUP PLC: We estimate the credit risk parameters by Relative Strength Index (RSI) and Multiple Regression Credit Ratings for H&T GROUP PLC as of 21 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 74 86 Financial Signals 63 84 Risk Signals 46 51 Substantial Risks 75 40 Speculative Signals 71 34 *Machine Learning ut

NASDAQ:FATE Stock Forecast, Price Targets (Buy or Sell) FATE Fate Therapeutics

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+6m) for FATE Fate Therapeutics as below: FATE Fate Therapeutics Stock Forecast (Buy or Sell) as of 21 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 Nov 2021 for (n+6m) If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless

GULF INVESTMENT FUND PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Nov 21 2021 23:25:05 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for GULF INVESTMENT FUND PLC: We estimate the credit risk parameters by Pierce Oscillators and Sign Test Credit Ratings for GULF INVESTMENT FUND PLC as of 21 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 69 42 Financial Signals 84 42 Risk Signals 76 76 Substantial Risks 77 51 Speculative Signals 73 36 *Machine Learning uti

NYSE:DAN Stock Forecast, Price Targets (Buy or Sell) DAN Dana Holding Corporation

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 Simple Regression. Machine Learning based stock forecast (n+30) for DAN Dana Holding Corporation as below: DAN Dana Holding Corporation Stock Forecast (Buy or Sell) as of 21 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 Nov 2021 for (n+30) 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

OneConnect Financial Tech Co Ltd ADR Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Nov 21 2021 22:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for OneConnect Financial Tech Co Ltd ADR: We estimate the credit risk parameters by RC Phase Shift Oscillator and Stepwise Regression Credit Ratings for OneConnect Financial Tech Co Ltd ADR as of 21 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 73 68 Financial Signals 89 84 Risk Signals 59

LON:CRV Stock Forecast, Price Targets (Buy or Sell) CRV CRAVEN HOUSE CAPITAL PLC

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Profit and Independent T-Test. Machine Learning based stock forecast (n+3m) for CRV CRAVEN HOUSE CAPITAL PLC as below: CRV CRAVEN HOUSE CAPITAL PLC Stock Forecast (Buy or Sell) as of 21 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 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 o

NewLink Genetics Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Nov 21 2021 22:25:02 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 NewLink Genetics Corporation: We estimate the credit risk parameters by Aroon and Chi-Square Credit Ratings for NewLink Genetics Corporation as of 21 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 58 36 Financial Signals 84 66 Risk Signals 84 55 Substantial Risks 79 36 Speculative Signals 63 64 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize

NYSE:CAH Stock Forecast, Price Targets (Buy or Sell) CAH Cardinal Health

Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Royer Oscillators and Lasso Regression. Machine Learning based stock forecast (n+7) for CAH Cardinal Health as below: CAH Cardinal Health Stock Forecast (Buy or Sell) as of 21 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 Nov 2021 for (n+7) We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater po