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Showing posts from October 21, 2021

NYSE:SAH Stock Forecast by Tri-tet Oscillators with Multiple Regression

The stock price realization for NYSE:SAH 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 Tri-tet Oscillators and Multiple Regression. Machine Learning based stock forecast (n+30) for SAH Sonic Automotive as below: SAH Sonic Automotive Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+30) In this scenario, we would still inclu

Nathan's Famous, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 10:55:03 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 Nathan's Famous, Inc.: We estimate the credit risk parameters by Average True Range (ATR) and Lasso Regression Credit Ratings for Nathan's Famous, Inc. as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 68 68 Financial Signals 56 66 Risk Signals 36 54 Substantial Risks 37 38 Speculative Signals 34 47 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our rese

LON:ADAM Stock Forecast by Moving Average Convergence Divergence (MACD) with Ridge Regression

The stock price realization for LON:ADAM 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 Moving Average Convergence Divergence (MACD) and Ridge Regression. Machine Learning based stock forecast (n+1y) for ADAM ADAMAS FINANCE ASIA LD as below: ADAM ADAMAS FINANCE ASIA LD Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+1y) In

Jiangsu Sainty Corp., Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. Rating Model for Jiangsu Sainty Corp., Ltd: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and Logistic Regression Credit Ratings for Jiangsu Sainty Corp., Ltd as of 22 Oct 2021 Credit Rating Short-

NASDAQ:OTEX Stock Forecast by Simple Moving Average (SMA) with Pearson Correlation

The stock price realization for NASDAQ:OTEX 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 Simple Moving Average (SMA) and Pearson Correlation. Machine Learning based stock forecast (n+3m) for OTEX Open Text Corporation as below: OTEX Open Text Corporation Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+3m) In our assessme

EXCHANGE STATE BANK CORP. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 09:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for EXCHANGE STATE BANK CORP.: We estimate the credit risk parameters by Anomaly and ANOVA Credit Ratings for EXCHANGE STATE BANK CORP. as of 22 Oct 2021 Cred

NYSE:GJP Stock Forecast by Voltage Controlled Oscillator with Logistic Regression

The stock price realization for NYSE:GJP 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 Voltage Controlled Oscillator and Logistic Regression. Machine Learning based stock forecast (n+7) for GJP Synthetic Fixed as below: GJP Synthetic Fixed Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+7) We do not treat repayments of lea

Severn Bancorp Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 09:25:02 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 Severn Bancorp Inc: We estimate the credit risk parameters by Bollinger Bands %B and Wilcoxon Rank-Sum Test Credit Ratings for Severn Bancorp Inc as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 41 81 Financial Signals 86 56 Risk Signals 72 59 Substantial Risks 70 57 Speculative Signals 31 81 *Machine Learning utilizes multiple learning algorithms to obtain better predictive po

NASDAQ:NEON Stock Forecast Outlook:Negative by Bollinger Bands Width with Multiple Regression

The stock price realization for NASDAQ:NEON 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+7) for NEON Neonode Inc. as below: NEON Neonode Inc. Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+7) We do not treat repayments of leases as de

Enbridge Energy, L.P. Class A Common Units Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 08:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for Enbridge Energy, L.P. Class A Common Units: We estimate the credit risk parameters by KDJ and Beta Credit Ratings for Enbridge Energy, L.P. Class A Common Units as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 89 73 Financial Signals 80 58 Risk Signals 55 82 Substantial Risks 40 40 Speculative Signals 48 50 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.

NASDAQ:TELA Stock Forecast by Bollinger Bands Width with ElasticNet Regression

The stock price realization for NASDAQ:TELA 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 ElasticNet Regression. Machine Learning based stock forecast (n+1y) for TELA TELA Bio as below: TELA TELA Bio Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+1y) When evaluating uses of liquidity, we include

NIFCO INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 08:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Rating Model for NIFCO INC.: We estimate the credit risk parameters by Crystal Oscillators and Paired T-Test Credit Ratings for NIFCO INC. as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 68 71 Financial Signals 62 62 Risk Signals 41 78 Substantial Ris

NSE:WINSOME Stock Forecast by Envelope (ENV) with Lasso Regression

The stock price realization for NSE:WINSOME 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 Lasso Regression. Machine Learning based stock forecast (n+3m) for WINSOME Winsome Yarns Limited as below: WINSOME Winsome Yarns Limited Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+3m) When evaluating uses of l

MATERNUS-KLI.AG O.N. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 07:55:02 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 MATERNUS-KLI.AG O.N.: We estimate the credit risk parameters by Simple Moving Average (SMA) and Logistic Regression Credit Ratings for MATERNUS-KLI.AG O.N. as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 61 49 Financial Signals 85 42 Risk Signals 32 37 Substantial Risks 59 87 Speculative Signals 40 37 *Machine Learning utilizes mul

NASDAQ:BCRX Stock Forecast by Clapp Oscillators with Chi-Square

The stock price realization for NASDAQ:BCRX 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 Clapp Oscillators and Chi-Square. Machine Learning based stock forecast (n+30) for BCRX BioCryst Pharmaceuticals as below: BCRX BioCryst Pharmaceuticals Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+30) For example, if a company in

Union Bank of Sparta Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 07:25:03 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 Union Bank of Sparta: We estimate the credit risk parameters by Price Channels and Chi-Square Credit Ratings for Union Bank of Sparta as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Caa1 Semantic Signals 59 35 Financial Signals 54 68 Risk Signals 42 33 Substantial Risks 31 32 Speculative Signals 57 35 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine lea

NYSE:UL Stock Forecast by Directional Movement Indicator with Independent T-Test

The stock price realization for NYSE:UL 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 Independent T-Test. Machine Learning based stock forecast (n+15) for UL Unilever PLC as below: UL Unilever PLC Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+15) For example, if a company incurred a la

Watahan & Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for Watahan & Co Ltd: We estimate the credit risk parameters by Penetration and Stepwise Regression Credit Ratings for Watahan & Co Ltd as of 22 Oct 2021

NASDAQ:DGII Stock Forecast by Price Channels with Logistic Regression

The stock price realization for NASDAQ:DGII 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 Channels and Logistic Regression. Machine Learning based stock forecast (n+1y) for DGII Digi International Inc. as below: DGII Digi International Inc. Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+1y) We do not assume future

Quality Products, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 06:25:01 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for Quality Products, Inc.: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Sign Test Credit Ratings for Quality Products, Inc. as of 22 Oct 202

NSE:PODDARMENT Stock Forecast by Meissner Oscillators with ANOVA

The stock price realization for NSE:PODDARMENT 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 Meissner Oscillators and ANOVA. Machine Learning based stock forecast (n+7) for PODDARMENT Poddar Pigments Limited as below: PODDARMENT Poddar Pigments Limited Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+7) We do not assume fut

GENEL ENERGY PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for GENEL ENERGY PLC: We estimate the credit risk parameters by Delay-Line Oscillators and Linear Regression Credit Ratings for GENEL ENERGY PLC as of 22 Oct

NYSE:RES Stock Forecast by Anomaly with Wilcoxon Sign-Rank Test

The stock price realization for NYSE:RES 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 Anomaly and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for RES RPC as below: RES RPC Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+3m) Larger, investment-grade issuers that have access to both public and pri

BOSQUE BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 05:25:02 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 BOSQUE BANCSHARES, INC.: We estimate the credit risk parameters by Commodity Channel Index and Sign Test Credit Ratings for BOSQUE BANCSHARES, INC. as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 68 33 Financial Signals 87 51 Risk Signals 75 44 Substantial Risks 47 38 Speculative Signals 31 86 *Machine Learning utilizes multiple learning algorithms t

NASDAQ:GOODN Stock Forecast by Running Moving Average (RMA) with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:GOODN 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+7) for GOODN Gladstone Commercial Corporation as below: GOODN Gladstone Commercial Corporation Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021

GuangDong SongYang Recycle Resources Co Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 04:55:02 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 GuangDong SongYang Recycle Resources Co: We estimate the credit risk parameters by Sustainability and Factor Credit Ratings for GuangDong SongYang Recycle Resources Co as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 89 67 Financial Signals 48 56 Risk Signals 54 52 Substantial Risks 89 35 Speculative Signals 57 55 *Machine Learning utilizes multiple learn

NASDAQ:GWRS Stock Forecast by Profit with Linear Regression

The stock price realization for NASDAQ:GWRS 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 Linear Regression. Machine Learning based stock forecast (n+6m) for GWRS Global Water Resources as below: GWRS Global Water Resources Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+6m) Asset divestitures. We do not inclu

Bio Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 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 Bio: We estimate the credit risk parameters by Relative Strength Index (RSI) and Multiple Regression Credit Ratings for Bio as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 38 56 Financial Signals 58 60 Risk Signals 76 61 Substantial Risks 43 88 Speculative Signals 39 66 *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

LON:FGP Stock Forecast by Demand with Chi-Square

The stock price realization for LON:FGP 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 Demand and Chi-Square. Machine Learning based stock forecast (n+15) for FGP FIRSTGROUP PLC as below: FGP FIRSTGROUP PLC Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+15) In addition, a speculative-grade company's access to the cred

Social Life Network Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for Social Life Network Inc: We estimate the credit risk parameters by Volume and Polynomial Regression Credit Ratings for Social Life Network Inc as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Baa2 Semantic Signals 81 88 Financial Signals 77 70 Risk Signals 88 73 Substantial Risks 66 81 Speculative Signals 75 85 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.

NYSE:HLX Stock Forecast Outlook:Negative by Running Moving Average (RMA) with ElasticNet Regression

The stock price realization for NYSE:HLX 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+7) for HLX Helix Energy Solutions Group as below: HLX Helix Energy Solutions Group Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+7) In thi

Gentex Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 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 Gentex Corporation: We estimate the credit risk parameters by Trend and Independent T-Test Credit Ratings for Gentex Corporation as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 83 53 Financial Signals 82 35 Risk Signals 89 61 Substantial Risks 55 65 Speculative Signals 74 33 *Machine Lea

NSE:ADANIGREEN Stock Forecast by Expectation with Wilcoxon Rank-Sum Test

The stock price realization for NSE:ADANIGREEN 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 Expectation and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for ADANIGREEN Adani Green Energy Limited as below: ADANIGREEN Adani Green Energy Limited Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+6m) We

RMG Acquisition Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 02:55:02 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 RMG Acquisition Corp: We estimate the credit risk parameters by OCL and Wilcoxon Sign-Rank Test Credit Ratings for RMG Acquisition Corp as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B3 Semantic Signals 38 64 Financial Signals 59 54 Risk Signals 58 52 Substantial Risks 82 37 Speculative Signals 60 31 *Machine Learning utilizes multiple learning algorithm

NASDAQ:TCFCP Stock Forecast by Trend with Multiple Regression

The stock price realization for NASDAQ:TCFCP 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 Trend and Multiple Regression. Machine Learning based stock forecast (n+6m) for TCFCP TCF Financial Corporation as below: TCFCP TCF Financial Corporation Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+6m) The various qualitative fa

TouchTunes Interactive Networks, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 02:25:02 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 TouchTunes Interactive Networks, Inc.: We estimate the credit risk parameters by Heikin-Ashi and Wilcoxon Rank-Sum Test Credit Ratings for TouchTune

LON:PTEC Stock Forecast by Adaptive Moving Average with Lasso Regression

The stock price realization for LON:PTEC 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 Lasso Regression. Machine Learning based stock forecast (n+30) for PTEC PLAYTECH PLC as below: PTEC PLAYTECH PLC Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+30) The EBITDA declines companies would have to

Yantai Shuangta Food Co., Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 01:55:03 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 Yantai Shuangta Food Co., Ltd: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and Spearman Correlation Credit Ratings for Yantai Shuangta Food Co., Ltd as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 63 62 Financial Signals 75 37 Risk Signals 41 56 Substantial Risks 65 48 Speculative Signals 78 76 *Machine Learning utilizes multiple learning algorithms to obtain better

LON:ALFA Stock Forecast by Electron Coupled Oscillators with Wilcoxon Rank-Sum Test

The stock price realization for LON:ALFA 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 Electron Coupled Oscillators and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for ALFA ALFA FINANCIAL SOFTWARE HOLDINGS PL as below: ALFA ALFA FINANCIAL SOFTWARE HOLDINGS PL Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 20

ARUNDEL FEDERAL SAVINGS BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 01:25:03 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 ARUNDEL FEDERAL SAVINGS BANK: We estimate the credit risk parameters by Bollinger Bands Width and Simple Regression Credit Ratings for ARUNDEL FEDERAL SAVINGS BANK as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 49 55 Financial Signals 60 85

NYSE:IBM Stock Forecast Outlook:Negative by Price with Polynomial Regression

The stock price realization for NYSE:IBM 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 Polynomial Regression. Machine Learning based stock forecast (n+15) for IBM International Business Machines Corporation as below: IBM International Business Machines Corporation Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+

Shiseido Company, Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. Rating Model for Shiseido Company, Limited: We estimate the credit risk parameters by Price and Wilcoxon Sign-Rank Test Credit Ratings for Shiseido Company, Limited as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals 83 72 Financial Signals 39 44 Risk Sign

LON:MILA Stock Forecast Outlook:Negative by FS with Multiple Regression

The stock price realization for LON:MILA 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 FS and Multiple Regression. Machine Learning based stock forecast (n+6m) for MILA MILA RESOURCES PLC as below: MILA MILA RESOURCES PLC Stock Forecast (Buy or Sell) as of 22 Oct 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 Oct 2021 for (n+6m) Larger, investment-grade issuers that have access

First Business Financial Services, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 22 2021 00:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for First Business Financial Services, Inc.: We estimate the credit risk parameters by Colpitts Oscillator and Polynomial Regression Credit Ratings for First Business Financial Services, Inc. as of 22 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 75 82 Financial Signals 44 54 Risk Signals 47 82 Substantial Risks 80 79 Speculative Signals 42 82 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support

NASDAQ:FCCY Stock Forecast Outlook:Negative by Delay-Line Oscillators with Ridge Regression

The stock price realization for NASDAQ:FCCY 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 Delay-Line Oscillators and Ridge Regression. Machine Learning based stock forecast (n+7) for FCCY 1st Constitution Bancorp (NJ) as below: FCCY 1st Constitution Bancorp (NJ) Stock Forecast (Buy or Sell) as of 21 Oct 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 Oct 2021 for (n+7) If, for ex

Shinhan Bank America Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Oct 21 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. Rating Model for Shinhan Bank America: We estimate the credit risk parameters by Relative Strength Index (RSI) and Spearman Correlation Credit Ratings for Shinhan Bank America as of 21 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 41 88 Financial Signals 69 73 Ri

LON:SQNX Stock Forecast by Ring Oscillators with Simple Regression

The stock price realization for LON:SQNX 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 Simple Regression. Machine Learning based stock forecast (n+1y) for SQNX SQN ASSET FINANCE INCOME FUND LTD as below: SQNX SQN ASSET FINANCE INCOME FUND LTD Stock Forecast (Buy or Sell) as of 21 Oct 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 Oct 2021 for (n+1y) We do n

Employers Mutual Casualty Company Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Oct 21 2021 23:25:02 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 Employers Mutual Casualty Company: We estimate the credit risk parameters by Clapp Oscillators and Ridge Regression Credit Ratings for Employers Mutual Casualty Company as of 21 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 85 59 Financial Signals 79 33 Risk Signals 61 61 Substantial Risks 74 39 Speculative Signals 83 50 *M