Skip to main content

Posts

Showing posts from October 25, 2021

LON:MIL Stock Forecast Outlook:Negative by Running Moving Average (RMA) with Simple Regression

The stock price realization for LON:MIL 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 Simple Regression. Machine Learning based stock forecast (n+1y) for MIL MYANMAR INV INTERNATIONAL LD as below: MIL MYANMAR INV INTERNATIONAL LD Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) If we be

Equal Energy Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 10:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for Equal Energy Ltd.: We estimate the credit risk parameters by Aroon and Stepwise Regression Credit Ratings for Equal Energy Ltd. as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 57 76 Financial Signals 53 82 Risk Signals 47 30 Substantial Risks 57 81 Speculative Signals 39 48 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our researc

NYSE:RST Stock Forecast by Commodity Channel Index with Factor

The stock price realization for NYSE:RST 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 Commodity Channel Index and Factor. Machine Learning based stock forecast (n+6m) for RST Rosetta Stone Rosetta Stone as below: RST Rosetta Stone Rosetta Stone Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+6m) To assess an issuer's

Plastic2Oil Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 10:25:06 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 Plastic2Oil Inc: We estimate the credit risk parameters by FS and Spearman Correlation Credit Ratings for Plastic2Oil Inc as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 48 48 Financial Signals 63 37 Risk Signals 43 71 Substantial Risks 38 39 Speculative Signals 78 42 *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

NASDAQ:PACQ Stock Forecast by Penetration with Paired T-Test

The stock price realization for NASDAQ:PACQ 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 Penetration and Paired T-Test. Machine Learning based stock forecast (n+15) for PACQ Pure Acquisition Corp. as below: PACQ Pure Acquisition Corp. Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+15) We do not include potential future

Anhui Conch Cement Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for Anhui Conch Cement Co Ltd: We estimate the credit risk parameters by Rate of Change (ROC) and Simple Regression Credit Ratings for Anhui Conch Cement Co Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba2 Semantic Signals 61 87 Financial Signals 74 78 Risk Signals 72 51 Substantial Risks 82 73 Speculative Signals 83 55 *Machine Learning utilizes multiple learning algorithms to obtain better pr

NYSE:TU Stock Forecast by Penetration with Linear Regression

The stock price realization for NYSE:TU 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 Penetration and Linear Regression. Machine Learning based stock forecast (n+30) for TU Telus Corporation Ordinary Shares as below: TU Telus Corporation Ordinary Shares Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+30) Our liquidity use

PACCAR Financial Corp. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for PACCAR Financial Corp.: We estimate the credit risk parameters by Sustainability and Ridge Regression Credit Ratings for PACCAR Financial Corp. as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 76 86 Financial Signals 61 68 Risk Signals 54 82 Substantial Risks 42 54 Speculative

NYSE:BBK Stock Forecast by Tri-tet Oscillators with Pearson Correlation

The stock price realization for NYSE:BBK 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 Pearson Correlation. Machine Learning based stock forecast (n+7) for BBK Blackrock Municipal Bond Trust as below: BBK Blackrock Municipal Bond Trust Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+7) While we only

Shandong Shuangyi Technology Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 08:55:03 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 Shandong Shuangyi Technology Co Ltd: We estimate the credit risk parameters by Chaikin Money Flow and Ridge Regression Credit Ratings for Shandong Shuangyi Technology Co Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 48 36 Financial Signals 59 90 Risk Signals 50 54 Substantial Risks 34 59 Speculative Signals 71 38 *Machine Learning utilizes multiple learning algorithms to obtain b

NASDAQ:CATC Stock Forecast by Relative Strength Index (RSI) with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:CATC 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 Relative Strength Index (RSI) and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for CATC Cambridge Bancorp as below: CATC Cambridge Bancorp Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+3m) Given that it can

EVERGREEN HOLDINGS, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 08:25:02 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 EVERGREEN HOLDINGS, LLC: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Multiple Regression Credit Ratings for EVERGREEN HOLDINGS, LLC as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 55 34 Financial Signals 55 61 Risk Signals 88 33 Substantial Risks 39 33 Speculative Signals 52 86 *Machine Learning utilizes multiple learning al

NASDAQ:ATHX Stock Forecast by Bollinger Bands with Logistic Regression

The stock price realization for NASDAQ:ATHX 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 Logistic Regression. Machine Learning based stock forecast (n+15) for ATHX Athersys as below: ATHX Athersys Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+15) Given that it can be difficult to identify outstandin

Peoples Bancshares, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 07:55:02 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 Peoples Bancshares, Inc.: We estimate the credit risk parameters by Bollinger Bands Width and Paired T-Test Credit Ratings for Peoples Bancshares, Inc. as of 26 Oct 2021 Credit Rating Short-Term

NYSE:BXC Stock Forecast by Dynatron Oscillators with Linear Regression

The stock price realization for NYSE:BXC 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 Dynatron Oscillators and Linear Regression. Machine Learning based stock forecast (n+1y) for BXC Bluelinx Holdings Inc. as below: BXC Bluelinx Holdings Inc. Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) We do not assume future deb

First Federal Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 07:25:02 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 First Federal Bank: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Beta Credit Ratings for First Federal Bank as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 78 32 Financial Signals 55 56 Risk Signals 41 89 Substantial Risks 66 71 Speculative Signals 74 63 *Machine Learning utilizes

LON:APP Stock Forecast by Directional Movement Indicator with Linear Regression

The stock price realization for LON:APP 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 Linear Regression. Machine Learning based stock forecast (n+30) for APP APPRECIATE GROUP PLC as below: APP APPRECIATE GROUP PLC Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+30) The various qualitativ

Japan Living Warranty Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 06:55:03 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 Japan Living Warranty Inc: We estimate the credit risk parameters by Opto-Electronic Oscillators and Beta Credit Ratings for Japan Living Warranty Inc as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 78 34 Financial Signals 87 79 Risk S

NYSE:SFB Stock Forecast by Keltner Channels with Stepwise Regression

The stock price realization for NYSE:SFB 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 Keltner Channels and Stepwise Regression. Machine Learning based stock forecast (n+3m) for SFB Stifel Financial Corp. 6.70% Senior Note due 2022 as below: SFB Stifel Financial Corp. 6.70% Senior Note due 2022 Stock Forecast (Buy or Sell) as of 26 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

Physicians Realty Trust Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 06:25:02 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 Physicians Realty Trust: We estimate the credit risk parameters by Stochastic Oscillator and Wilcoxon Rank-Sum Test Credit Ratings for Physicians Realty Trust as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba2 Semantic Signals 87 88 Financial Signals 76 63 Risk Signals 81 71 Substantial Risks 74 47 Speculative Signals 76 71 *Machine Learning utilizes multiple learnin

NYSE:GAB Stock Forecast by Triple Exponential Moving Average (TRIX) with Wilcoxon Rank-Sum Test

The stock price realization for NYSE:GAB 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 Triple Exponential Moving Average (TRIX) and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+30) for GAB Gabelli Equity Trust as below: GAB Gabelli Equity Trust Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+30) We do

The First State Bank of Pond Creek, Oklahoma Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for The First State Bank of Pond Creek, Oklahoma: We estimate the credit risk parameters by Price Oscillator (PPO) and Chi-Square Credit Ratings for The First State Bank of Pond Creek, Oklahoma as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 73 57 Financial Signals 39 59 Risk Signals 55 31 Substantial Risks 43 32 Speculative Signals 50 51 *Machine Learning utilizes multiple learning

NASDAQ:GLIBP Stock Forecast by Rating with Linear Regression

The stock price realization for NASDAQ:GLIBP 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 Rating and Linear Regression. Machine Learning based stock forecast (n+1y) for GLIBP GCI Liberty as below: GLIBP GCI Liberty Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) We believe that when a company is viewed as being on th

Avic Shenyang Aircraft Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. Rating Model for Avic Shenyang Aircraft Co Ltd: We estimate the credit risk parameters by OCL and Chi-Square Credit Ratings for Avic Shenyang Aircraft Co Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 89 32 Financial Signals 37 33 Risk Signals 60 86

LON:EXPN Stock Forecast by Profit with Wilcoxon Rank-Sum Test

The stock price realization for LON:EXPN 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 Rank-Sum Test. Machine Learning based stock forecast (n+7) for EXPN EXPERIAN PLC as below: EXPN EXPERIAN PLC Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+7) To assess forecasted working capital outflows for compani

Oconee Federal Financial Corp. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 04:55:04 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 Oconee Federal Financial Corp.: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Wilcoxon Rank-Sum Test Credit Ratings for Oconee Federal Financial Corp. as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 36 33 Financial Signals 40 30 Risk Signals 55 58 Su

NASDAQ:BOXL Stock Forecast by Simple Moving Average (SMA) with Factor

The stock price realization for NASDAQ:BOXL 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 Factor. Machine Learning based stock forecast (n+1y) for BOXL Boxlight Corporation as below: BOXL Boxlight Corporation Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) In addition, a speculative-gra

Shenzhen Capchem Technology Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 04:25:03 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 Shenzhen Capchem Technology Co Ltd: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Paired T-Test Credit Ratings for Shenzhen Capchem Technology Co Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2

NASDAQ:ALNA Stock Forecast Outlook:Negative by Relative Strength Index (RSI) with Linear Regression

The stock price realization for NASDAQ:ALNA 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 Relative Strength Index (RSI) and Linear Regression. Machine Learning based stock forecast (n+1y) for ALNA Allena Pharmaceuticals as below: ALNA Allena Pharmaceuticals Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) Additionally,

Hongbo Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 03:55:02 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 Hongbo Co Ltd: We estimate the credit risk parameters by Dynatron Oscillators and Ridge Regression Credit Ratings for Hongbo Co Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3 Semantic Signals 82 56 Financial Signals 79 62 Risk Signals 70 86 Subst

NASDAQ:FOCS Stock Forecast by FS with Chi-Square

The stock price realization for NASDAQ:FOCS 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 Chi-Square. Machine Learning based stock forecast (n+15) for FOCS Focus Financial Partners Inc. as below: FOCS Focus Financial Partners Inc. Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+15) Shared facilities with captive fi

CIFI Holdings Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for CIFI Holdings: We estimate the credit risk parameters by Delay-Line Oscillators and Paired T-Test Credit Ratings for CIFI Holdings as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 42 47 Financial Signals 42 32 Risk Signals 77 83 Substantial Risks 75 56 Speculative Signals 50 31 *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:HIX Stock Forecast by RC Phase Shift Oscillator with ANOVA

The stock price realization for NYSE:HIX 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 RC Phase Shift Oscillator and ANOVA. Machine Learning based stock forecast (n+1y) for HIX Western Asset High Income Fund II Inc. as below: HIX Western Asset High Income Fund II Inc. Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) If

Saratoga Investment Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for Saratoga Investment Corp: We estimate the credit risk parameters by EMR and Multiple Regression Credit Ratings for Saratoga Investment Corp as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 69 55 Financial Signals 52 63 Risk Signals 31 52 Substantial Risks 71 61 Speculative Sign

NSE:CINEVISTA Stock Forecast Outlook:Negative by SMoothed Moving Average (SMMA) with Wilcoxon Sign-Rank Test

The stock price realization for NSE:CINEVISTA 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 Sign-Rank Test. Machine Learning based stock forecast (n+1y) for CINEVISTA Cinevista Limited as below: CINEVISTA Cinevista Limited Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) Give

Mercedes-Benz Japan Co., Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. Rating Model for Mercedes-Benz Japan Co., Ltd: We estimate the credit risk parameters by Multi-Wave Oscillators and Multiple Regression Credit Ratings for Mercedes-Benz Japan Co., Ltd as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 31 37 Financial Signals

NASDAQ:DBX Stock Forecast by On Balance Volume (OBV) with Lasso Regression

The stock price realization for NASDAQ:DBX 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 On Balance Volume (OBV) and Lasso Regression. Machine Learning based stock forecast (n+6m) for DBX Dropbox as below: DBX Dropbox Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+6m) For these reasons, although the criteria establish no

Shenzhen Refond Optoelectronics Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 01:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for Shenzhen Refond Optoelectronics: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Logistic Regression Credit Ratings for Shenzhen Refond Optoelectronics as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 54 65 Financial Signals 42 51 Risk Signal

NYSE:ETB Stock Forecast by Ring Oscillators with Ridge Regression

The stock price realization for NYSE:ETB 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 Ridge Regression. Machine Learning based stock forecast (n+3m) for ETB Eaton Vance Tax as below: ETB Eaton Vance Tax Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+3m) The EBITDA declines companies would have to wi

EarthLink Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 01:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for EarthLink Inc.: We estimate the credit risk parameters by Volume + Moving Average and Linear Regression Credit Ratings for EarthLink Inc. as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 65 46 Financial Signals 84 33 Risk Signals 71 55 Substantial Risks 67 76 Speculative Signals 49 65 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our res

NASDAQ:GSHD Stock Forecast Outlook:Negative by Profit with Logistic Regression

The stock price realization for NASDAQ:GSHD 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 Logistic Regression. Machine Learning based stock forecast (n+1y) for GSHD Goosehead Insurance as below: GSHD Goosehead Insurance Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+1y) Likewise, we do not consider factoring p

NPC Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 00:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for NPC Inc: We estimate the credit risk parameters by Trend and Multiple Regression Credit Ratings for NPC Inc as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 50 85 Financial Signals 73 74 Risk Signals 62 62 Substantial Risks 70 49 Speculative Signals 47 62 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize

NYSE:COG Stock Forecast by Voltage Controlled Oscillator with Pearson Correlation

The stock price realization for NYSE:COG 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 Pearson Correlation. Machine Learning based stock forecast (n+3m) for COG Cabot Oil & Gas Corporation as below: COG Cabot Oil & Gas Corporation Stock Forecast (Buy or Sell) as of 26 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: 26 Oct 2021 for (n+3m

Sojitz Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 26 2021 00:25:02 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 Sojitz Corp: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Chi-Square Credit Ratings for Sojitz Corp as of 26 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rati

LON:MNDI Stock Forecast by Rating with Independent T-Test

The stock price realization for LON:MNDI 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 Rating and Independent T-Test. Machine Learning based stock forecast (n+15) for MNDI MONDI PLC as below: MNDI MONDI PLC Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+15) For companies in more volatile sectors, we assess the resiliency

BIJOU BRIGITTE O.N. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 23:55:02 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 BIJOU BRIGITTE O.N.: We estimate the credit risk parameters by Expectation and Multiple Regression Credit Ratings for BIJOU BRIGITTE O.N. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba2 Semantic Signals 78 83 Financial Signals 66 35 Risk Signals 31 90 Substantial Risks 83 82 Speculative Signals 84 45 *Machine Learning utilizes multip

NASDAQ:CATM Stock Forecast by Envelope (ENV) with Linear Regression

The stock price realization for NASDAQ:CATM 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 Linear Regression. Machine Learning based stock forecast (n+7) for CATM Cardtronics plc as below: CATM Cardtronics plc Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+7) When evaluating uses of liquidity, we include

NSE:RCF Stock Forecast Outlook:Negative by Ichimoku Cloud (IKH) with Logistic Regression

The stock price realization for NSE:RCF 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 Logistic Regression. Machine Learning based stock forecast (n+3m) for RCF Rashtriya Chemicals and Fertilizers Limited as below: RCF Rashtriya Chemicals and Fertilizers Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct