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Showing posts from November 9, 2021

NSE:MANAPPURAM Stock Forecast Outlook:Negative by Stochastic Oscillator with Spearman Correlation

The stock price realization for NSE:MANAPPURAM is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Stochastic Oscillator and Spearman Correlation. Machine Learning based stock forecast (n+6m) for MANAPPURAM Manappuram Finance Limited as below: MANAPPURAM Manappuram Finance Limited Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n

HB Global Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 10:55:02 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 HB Global Ltd: We estimate the credit risk parameters by Bollinger Bands and Chi-Square Credit Ratings for HB Global Ltd as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 32 58 Financial Signals 37 66 Risk Signals 59 45 Substantial Risks 84 60 Speculative Signals 65 82 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to c

NSE:INEOSSTYRO Stock Forecast by Ichimoku Cloud (IKH) with Pearson Correlation

The stock price realization for NSE:INEOSSTYRO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ichimoku Cloud (IKH) and Pearson Correlation. Machine Learning based stock forecast (n+6m) for INEOSSTYRO INEOS Styrolution India Limited as below: INEOSSTYRO INEOS Styrolution India Limited Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 202

KINGSLEY STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 10:25:02 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 KINGSLEY STATE BANK: We estimate the credit risk parameters by Bollinger Bands Width and Sign Test Credit Ratings for KINGSLEY STATE BANK as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 74 55 Financial Signals 71 81 Risk Signals 73 81 Substantial Risks 33 38 Speculative Signals 57 49 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the

NASDAQ:NTUS Stock Forecast Outlook:Negative by Ring Oscillators with ANOVA

The stock price realization for NASDAQ:NTUS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and ANOVA. Machine Learning based stock forecast (n+6m) for NTUS Natus Medical Incorporated as below: NTUS Natus Medical Incorporated Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+6m) Shared facilities with captive

Addus Homecare Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 09:55:02 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 Addus Homecare Corporation: We estimate the credit risk parameters by Simple Moving Average (SMA) and Polynomial Regression Credit Ratings for Addus Homecare Corporation as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 33 60 Financial Sig

NASDAQ:NEWT Stock Forecast Outlook:Negative by Adaptive Moving Average with Independent T-Test

The stock price realization for NASDAQ:NEWT is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Adaptive Moving Average and Independent T-Test. Machine Learning based stock forecast (n+30) for NEWT Newtek Business Services Corp. as below: NEWT Newtek Business Services Corp. Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+30) Wh

Newcastle Bancshares, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 09:25:03 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 Newcastle Bancshares, Inc.: We estimate the credit risk parameters by KDJ and Lasso Regression Credit Ratings for Newcastle Bancshares, Inc. as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 37 65 Financial Signals 39 32 Risk Signals 82 66 Substantial Risks 35 61 Speculative Signals 78 86 *Machine Learning utilizes multiple learning algorithms to obtain

NYSE:BRT Stock Forecast Outlook:Negative by Wien Bridge Oscillator with Spearman Correlation

The stock price realization for NYSE:BRT is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Wien Bridge Oscillator and Spearman Correlation. Machine Learning based stock forecast (n+1y) for BRT BRT Realty Trust as below: BRT BRT Realty Trust Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+1y) We believe that when a company is

MHBC INVESTMENTS LIMITED PARTNERSHIP I LLLP Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 08:55:03 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 MHBC INVESTMENTS LIMITED PARTNERSHIP I LLLP: We estimate the credit risk parameters by Volume + Moving Average and Beta Credit Ratings for MHBC INVESTMENTS LIMITED PARTNERSHIP I LLLP as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 80 67 Financial Signals 59 58 Risk Signals 42 66

NASDAQ:RBCN Stock Forecast by Aroon with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:RBCN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Aroon and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+7) for RBCN Rubicon Technology as below: RBCN Rubicon Technology Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+7) For new issuers, while our ratings are pros

FX Energy, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 08:25:04 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 FX Energy, Inc.: We estimate the credit risk parameters by Colpitts Oscillator and ElasticNet Regression Credit Ratings for FX Energy, Inc. as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 69 64 Financial Signals 30 40 Risk Signals 45 49 Substantial Risks 72 64 Speculative Signals 81 73 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. I

NASDAQ:EVGBC Stock Forecast by Profit with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:EVGBC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Profit and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for EVGBC Eaton Vance NextShares Trust as below: EVGBC Eaton Vance NextShares Trust Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+3m) If, for example

Hisaka Works Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 07:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. Rating Model for Hisaka Works Ltd: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Factor Credit Ratings for Hisaka Works Ltd as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior A

NASDAQ:ELGX Stock Forecast by Bollinger Bands with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:ELGX is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for ELGX Endologix as below: ELGX Endologix Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+6m) For companies in more volatile sectors, we asses

Radius Health Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for Radius Health Inc: We estimate the credit risk parameters by Penetration and Logistic Regression Credit Ratings for Radius Health Inc as of 10 Nov 2021 Credit Rating Short-Term

NYSE:ARCO Stock Forecast by Ring Oscillators with Stepwise Regression

The stock price realization for NYSE:ARCO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Stepwise Regression. Machine Learning based stock forecast (n+6m) for ARCO Arcos Dorados Holdings Inc. Class A Shares as below: ARCO Arcos Dorados Holdings Inc. Class A Shares Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 20

YCIH Green High Performance ConcretCoLtd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for YCIH Green High Performance ConcretCoLtd: We estimate the credit risk parameters by Wien Bridge Oscillator and Spearman Correlation Credit Ratings for YCIH Green High Performance ConcretCoLtd as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic

LON:BIOG Stock Forecast by Envelope (ENV) with Polynomial Regression

The stock price realization for LON:BIOG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Envelope (ENV) and Polynomial Regression. Machine Learning based stock forecast (n+15) for BIOG BIOTECH GROWTH TRUST (THE) PLC as below: BIOG BIOTECH GROWTH TRUST (THE) PLC Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+15) Our liquidi

KK Softfront Holdings Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. Rating Model for KK Softfront Holdings: We estimate the credit risk parameters by Momentum and Polynomial Regression Credit Ratings for KK Softfront Holdings as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Cl

NYSE:CCM Stock Forecast by Bollinger Bands Width with Multiple Regression

The stock price realization for NYSE:CCM is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands Width and Multiple Regression. Machine Learning based stock forecast (n+6m) for CCM Concord Medical Services Holdings Limited ADS (Each represents three ordinary shares) as below: CCM Concord Medical Services Holdings Limited ADS (Each represents three ordinary shares) Stock Forecast (Buy or Sell) as of 10 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 %

FIRST NATIONAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 05:55:03 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 FIRST NATIONAL BANK: We estimate the credit risk parameters by Trend and Linear Regression Credit Ratings for FIRST NATIONAL BANK as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 37 90 Financial Signals 44 85 Risk Signals 58 54 Substantial Risks 54 35 Speculative Signals 88 36

NSE:VLSFINANCE Stock Forecast by SMoothed Moving Average (SMMA) with Wilcoxon Rank-Sum Test

The stock price realization for NSE:VLSFINANCE is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with SMoothed Moving Average (SMMA) and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for VLSFINANCE VLS Finance Limited as below: VLSFINANCE VLS Finance Limited Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+1y

Central China Real Estate Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. Rating Model for Central China Real Estate Ltd: We estimate the credit risk parameters by Exponential Moving Average (EMA) and ANOVA Credit Ratings for Central China Real Estate Ltd as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals 71 52 Financial Signals 36 88 Risk Signals 89 57 Substantial Risks 58 90 Speculative Signals 68 47 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to

NASDAQ:MDGS Stock Forecast by Price with Pearson Correlation

The stock price realization for NASDAQ:MDGS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price and Pearson Correlation. Machine Learning based stock forecast (n+3m) for MDGS Medigus Ltd. as below: MDGS Medigus Ltd. Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+3m) To assess forecasted working capital outflows for compa

West Deptford Energy Holdings, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for West Deptford Energy Holdings, LLC: We estimate the credit risk parameters by Multi-Wave Oscillators and Stepwise Regression Credit Ratings for West Deptford Energy Holdings, LLC as of 10 Nov 2021 Cred

LON:BMN Stock Forecast by Directional Movement Indicator with Spearman Correlation

The stock price realization for LON:BMN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Directional Movement Indicator and Spearman Correlation. Machine Learning based stock forecast (n+30) for BMN BUSHVELD MINERALS LIMITED as below: BMN BUSHVELD MINERALS LIMITED Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+30) Given the

Tri Harbor Holdings Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 04:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for Tri Harbor Holdings Corporation: We estimate the credit risk parameters by Rate of Change (ROC) and Logistic Regression Credit Ratings for Tri Harbor Holdings Corporation as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B1 Semantic Signals 72 84 Financial Signals 68 37 Risk Signals 84 35 Substantial Risks 87 62 Speculative Signals 50 61 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning

NYSE:UNH Stock Forecast by Rate of Change (ROC) with Simple Regression

The stock price realization for NYSE:UNH is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Simple Regression. Machine Learning based stock forecast (n+7) for UNH UnitedHealth Group Incorporated as below: UNH UnitedHealth Group Incorporated Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+7) To assess an

Guangzhou KDT Machinery Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for Guangzhou KDT Machinery Co Ltd: We estimate the credit risk parameters by Bollinger Bands %B and ElasticNet Regression Credit Ratings for Guangzhou KDT Machinery Co Ltd as of 10 Nov 2021

NASDAQ:PCAR Stock Forecast Outlook:Negative by KDJ with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:PCAR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with KDJ and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+30) for PCAR PACCAR Inc. as below: PCAR PACCAR Inc. Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+30) For companies in more volatile sectors, we assess the r

Emergency Assistance Japan Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 03:25:05 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 Emergency Assistance Japan Co Ltd: We estimate the credit risk parameters by Speculation and ANOVA Credit Ratings for Emergency Assistance Japan Co Ltd as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 41 30 Finan

LON:CCP Stock Forecast Outlook:Negative by Price Oscillator (PPO) with Ridge Regression

The stock price realization for LON:CCP is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Oscillator (PPO) and Ridge Regression. Machine Learning based stock forecast (n+30) for CCP CELTIC PLC as below: CCP CELTIC PLC Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+30) Our view of a company's financial policy is an

Steuben Trust Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 02:55:02 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 Steuben Trust Corp: We estimate the credit risk parameters by Running Moving Average (RMA) and Sign Test Credit Ratings for Steuben Trust Corp as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 71 56 Financial Signals 35 84 Risk Signals 36 43 Substantial Risks 49 61 Speculative Signals 81 64 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize

NASDAQ:INMD Stock Forecast by Running Moving Average (RMA) with ElasticNet Regression

The stock price realization for NASDAQ:INMD is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Running Moving Average (RMA) and ElasticNet Regression. Machine Learning based stock forecast (n+1y) for INMD InMode Ltd. as below: INMD InMode Ltd. Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+1y) Given that it can be difficult t

Stanley Black & Decker, Inc. Corp Unit 2013 Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 02:25:02 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 Stanley Black & Decker, Inc. Corp Unit 2013: We estimate the credit risk parameters by Delay-Line Oscillators and ANOVA Credit Ratings for Stanley Black & Decker, Inc. Corp Unit 2013 as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 83 31 Financial Signals 75 67 Risk Signals 81 66 Substantial Risks 41 54 Speculative Signals 53 87 *Machine Learning utilizes multiple lear

NASDAQ:MRNA Stock Forecast Outlook:Negative by OCL with Pearson Correlation

The stock price realization for NASDAQ:MRNA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with OCL and Pearson Correlation. Machine Learning based stock forecast (n+30) for MRNA Moderna as below: MRNA Moderna Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+30) In determining how prudent a company's risk management is, we l

STEINAUER BANCORP Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for STEINAUER BANCORP: We estimate the credit risk parameters by Sustainability and Stepwise Regression Credit Ratings for STEINAUER BANCORP as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signal

NSE:EMAMIREAL Stock Forecast by Envelope (ENV) with Spearman Correlation

The stock price realization for NSE:EMAMIREAL is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Envelope (ENV) and Spearman Correlation. Machine Learning based stock forecast (n+7) for EMAMIREAL Emami Realty Limited as below: EMAMIREAL Emami Realty Limited Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+7) Shared facilities wi

Gujarat Gas Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 01:25:02 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 Gujarat Gas Limited: We estimate the credit risk parameters by Bollinger Bands and Wilcoxon Rank-Sum Test Credit Ratings for Gujarat Gas Limited as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 67 69 Financial Signals 63 61 Risk Signals 68 77 Substantial Risks 43 89 Speculative Signals 77 78 *Machine Learning utilizes multiple le

NYSE:CPG Stock Forecast by Ring Oscillators with Linear Regression

The stock price realization for NYSE:CPG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Linear Regression. Machine Learning based stock forecast (n+1y) for CPG Crescent Point Energy Corporation Ordinary Shares (Canada) as below: CPG Crescent Point Energy Corporation Ordinary Shares (Canada) Stock Forecast (Buy or Sell) as of 10 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 seri

RION CO., LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 00:55:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for RION CO., LTD.: We estimate the credit risk parameters by Electron Coupled Oscillators and Factor Credit Ratings for RION CO., LTD. as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3

NASDAQ:GPRE Stock Forecast Outlook:Negative by Price with Multiple Regression

The stock price realization for NASDAQ:GPRE is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price and Multiple Regression. Machine Learning based stock forecast (n+1y) for GPRE Green Plains as below: GPRE Green Plains Stock Forecast (Buy or Sell) as of 10 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: 10 Nov 2021 for (n+1y) When determining the cash to be included under sources

CBIZ, Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Nov 10 2021 00:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Rating Model for CBIZ, Inc. Common Stock: We estimate the credit risk parameters by Colpitts Oscillator and Logistic Regression Credit Ratings for CBIZ, Inc. Common Stock as of 10 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Baa2 Semantic Signals 88 77 Financial Sig

NSE:IFBIND Stock Forecast by Cross-Coupled Oscillators with Stepwise Regression

The stock price realization for NSE:IFBIND is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Cross-Coupled Oscillators and Stepwise Regression. Machine Learning based stock forecast (n+30) for IFBIND IFB Industries Limited as below: IFBIND IFB Industries Limited Stock Forecast (Buy or Sell) as of 09 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: 09 Nov 2021 for (n+30) For example,

Cytokinetics, Incorporated Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Nov 09 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for Cytokinetics, Incorporated: We estimate the credit risk parameters by Cross-Coupled Oscillators and Sign Test Credit Ratings for Cytokinetics, Incorporated as of 09 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba1 Semantic Signals 56 82 Financial Si

NASDAQ:NXPI Stock Forecast by OCL with Simple Regression

The stock price realization for NASDAQ:NXPI is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with OCL and Simple Regression. Machine Learning based stock forecast (n+7) for NXPI NXP Semiconductors N.V. as below: NXPI NXP Semiconductors N.V. Stock Forecast (Buy or Sell) as of 09 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: 09 Nov 2021 for (n+7) Shared facilities with captive finance e