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Showing posts from September 6, 2021

NASDAQ:ASTE Stock Forecast by Tri-tet Oscillators with Ridge Regression

The stock price realization for NASDAQ:ASTE 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 Ridge Regression. Machine Learning based stock forecast (n+1y) for ASTE Astec Industries as below: ASTE Astec Industries Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+1y) Additionally, we exclude revolver bo

UNITED LABELS O.N. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for UNITED LABELS O.N.: We estimate the credit risk parameters by Williams %R and Polynomial Regression Credit Ratings for UNITED LABELS O.N. as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 61 65 Financial Signals 38 34 Risk Signals 8

NSE:SUPREMEINF Stock Forecast Outlook:Negative by Triple Exponential Moving Average (TRIX) with Independent T-Test

The stock price realization for NSE:SUPREMEINF 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 Independent T-Test. Machine Learning based stock forecast (n+7) for SUPREMEINF Supreme Infrastructure India Limited as below: SUPREMEINF Supreme Infrastructure India Limited Stock Forecast (Buy or Sell) as of 07 Sep 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 serie

Jade Bird Fire Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 10:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for Jade Bird Fire Co Ltd: We estimate the credit risk parameters by Relative Strength Index (RSI) and Spearman Correlation Credit Ratings for Jade Bird Fire Co Ltd as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 55 79 Financial Signals 31 42 Risk Signals 76 52 Substantial Risks 48

NASDAQ:ADMP Stock Forecast Outlook:Negative by Chaikin Oscillator with Multiple Regression

The stock price realization for NASDAQ:ADMP 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 Chaikin Oscillator and Multiple Regression. Machine Learning based stock forecast (n+6m) for ADMP Adamis Pharmaceuticals Corporation as below: ADMP Adamis Pharmaceuticals Corporation Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+6m

SOPHEON PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for SOPHEON PLC: We estimate the credit risk parameters by Relative Strength Index (RSI) and Wilcoxon Sign-Rank Test Credit Ratings for SOPHEON PLC as of 07 Sep 2021 Credit Rating Short-Term Long-T

NSE:GSS Stock Forecast Outlook:Negative by Triple Exponential Moving Average (TRIX) with Pearson Correlation

The stock price realization for NSE:GSS 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 Pearson Correlation. Machine Learning based stock forecast (n+15) for GSS GSS Infotech Limited as below: GSS GSS Infotech Limited Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+15) Likewise,

FARMERS STATE BANK OF WAUPACA Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for FARMERS STATE BANK OF WAUPACA: We estimate the credit risk parameters by Hartley Oscillator and Chi-Square Credit Ratings for FARMERS STATE BANK OF WAUPACA as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 61 64 Financial Signals 80 44 Risk Signals 38 44 Substantial Risks 89 47 Speculative Signals 38 60 *Machine Learning utilizes multiple learning algorithms to obtain better predictive p

NYSE:ROYT Stock Forecast by Opto-Electronic Oscillators with Independent T-Test

The stock price realization for NYSE:ROYT 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 Opto-Electronic Oscillators and Independent T-Test. Machine Learning based stock forecast (n+3m) for ROYT Pacific Coast Oil Trust Units of Beneficial Interest as below: ROYT Pacific Coast Oil Trust Units of Beneficial Interest Stock Forecast (Buy or Sell) as of 07 Sep 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 s

Dai-ichi Life Holdings Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 08:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for Dai-ichi Life Holdings Inc: We estimate the credit risk parameters by Voltage Controlled Oscillator and ANOVA Credit Ratings for Dai-ichi Life Holdings Inc as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 59 67 F

LON:LVCG Stock Forecast by Triple Exponential Moving Average (TRIX) with Ridge Regression

The stock price realization for LON:LVCG 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 Ridge Regression. Machine Learning based stock forecast (n+3m) for LVCG LIVE COMPANY GROUP PLC as below: LVCG LIVE COMPANY GROUP PLC Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m) While

Well Lead Medical Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 08:25:02 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 Well Lead Medical Co Ltd: We estimate the credit risk parameters by Stochastic Oscillator and Linear Regression Credit Ratings for Well Lead Medical

LON:GEC Stock Forecast by Envelope (ENV) with Ridge Regression

The stock price realization for LON:GEC 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 Ridge Regression. Machine Learning based stock forecast (n+6m) for GEC GENERAL ELECTRIC COMPANY as below: GEC GENERAL ELECTRIC COMPANY Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+6m) For companies that engage in re

ADVANTAGE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for ADVANTAGE BANK: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Factor Credit Ratings for ADVANTAGE BANK as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 51 61 Financial Signals 63

NSE:NEXTMEDIA Stock Forecast Outlook:Negative by RC Phase Shift Oscillator with Independent T-Test

The stock price realization for NSE:NEXTMEDIA 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 Independent T-Test. Machine Learning based stock forecast (n+3m) for NEXTMEDIA Next Mediaworks Limited as below: NEXTMEDIA Next Mediaworks Limited Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m) Wh

FIRST BANK OF RICHMOND Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 07:25:02 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 FIRST BANK OF RICHMOND: We estimate the credit risk parameters by Anomaly and Pearson Correlation Credit Ratings for FIRST BANK OF RICHMOND as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 61 74 Financial Signals 40 40 Risk Signals 85 46 Substantial Risks 74 86 Speculative Signals 52 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In

LON:APQ Stock Forecast by Multi-Wave Oscillators with Spearman Correlation

The stock price realization for LON:APQ 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 Multi-Wave Oscillators and Spearman Correlation. Machine Learning based stock forecast (n+7) for APQ APQ GLOBAL LIMITED as below: APQ APQ GLOBAL LIMITED Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+7) In these cases, the level of capit

CAP-XX LIMITED Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 06:55:02 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 CAP-XX LIMITED: We estimate the credit risk parameters by Opto-Electronic Oscillators and Factor Credit Ratings for CAP-XX LIMITED as of 07 Sep 2021

NASDAQ:VUZI Stock Forecast by Sustainability with Ridge Regression

The stock price realization for NASDAQ:VUZI 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 Sustainability and Ridge Regression. Machine Learning based stock forecast (n+3m) for VUZI Vuzix Corporation as below: VUZI Vuzix Corporation Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m) If a company has a credit put that caus

GAMING REALMS PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 06:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. Rating Model for GAMING REALMS PLC: We estimate the credit risk parameters by Rate of Change (ROC) and Paired T-Test Credit Ratings for GAMING REALMS PLC as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B1 Semantic Signals 86 43 Financial Signals 78 69 Risk Signals 86 88 Substantial Risks 85 46 Speculative Signals 37 36 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from th

LON:KDR Stock Forecast Outlook:Negative by Price Oscillator (PPO) with Simple Regression

The stock price realization for LON:KDR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Oscillator (PPO) and Simple Regression. Machine Learning based stock forecast (n+30) for KDR KARELIAN DIAMOND RESOURCES PLC as below: KDR KARELIAN DIAMOND RESOURCES PLC Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+30) We believe

BANK OF FOREST Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 05:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Rating Model for BANK OF FOREST: We estimate the credit risk parameters by Multi-Wave Oscillators and Spearman Correlation Credit Ratings for BANK OF FOREST as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 73 38 Financial Signals 60 72 Risk S

NASDAQ:CBMG Stock Forecast by Voltage Controlled Oscillator with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:CBMG 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for CBMG Cellular Biomedicine Group as below: CBMG Cellular Biomedicine Group Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m)

Pedcor Financial, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 05:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for Pedcor Financial, LLC: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Lasso Regression Credit Ratings for Pedcor Financial, LLC as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B3 Semantic S

NYSE:NVO Stock Forecast by Tri-tet Oscillators with Beta

The stock price realization for NYSE:NVO 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 Beta. Machine Learning based stock forecast (n+15) for NVO Novo Nordisk A/S as below: NVO Novo Nordisk A/S Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+15) If we believe a company would use cash trapped at a f

BAINBRIDGE BANCSHARES INC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 04:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for BAINBRIDGE BANCSHARES INC: We estimate the credit risk parameters by Pierce Oscillators and ElasticNet Regression Credit Ratings for BAINBRIDGE BANCSHARES INC as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior

NSE:XPROINDIA Stock Forecast by EMR with Multiple Regression

The stock price realization for NSE:XPROINDIA 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 EMR and Multiple Regression. Machine Learning based stock forecast (n+15) for XPROINDIA Xpro India Limited as below: XPROINDIA Xpro India Limited Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+15) When evaluating uses of liquidity

IMPERIAL BRANDS PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 04:25:02 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 IMPERIAL BRANDS PLC: We estimate the credit risk parameters by Speculation and Polynomial Regression Credit Ratings for IMPERIAL BRANDS PLC as of 07

NASDAQ:CHKP Stock Forecast by Price Oscillator (PPO) with Logistic Regression

The stock price realization for NASDAQ:CHKP is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Oscillator (PPO) and Logistic Regression. Machine Learning based stock forecast (n+30) for CHKP Check Point Software Technologies Ltd. as below: CHKP Check Point Software Technologies Ltd. Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 20

Solo Cup Company Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 03:55:03 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 Solo Cup Company: We estimate the credit risk parameters by Robinson Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Solo Cup Company as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 68 66 Financial Signals 51 54 Risk Signals 72 55 Substantial Risks 73 39 Speculative Signals 40 80 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers

NASDAQ:ZSAN Stock Forecast Outlook:Negative by Delay-Line Oscillators with Simple Regression

The stock price realization for NASDAQ:ZSAN 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 Simple Regression. Machine Learning based stock forecast (n+3m) for ZSAN Zosano Pharma Corporation as below: ZSAN Zosano Pharma Corporation Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m) In these cases

Euronet Worldwide, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for Euronet Worldwide, Inc.: We estimate the credit risk parameters by EMR and Ridge Regression Credit Ratings for Euronet Worldwide, Inc. as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 76 46 Financial Signals 50 62

NASDAQ:RSSS Stock Forecast by Pearson-Anson Oscillators with Simple Regression

The stock price realization for NASDAQ:RSSS 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 Pearson-Anson Oscillators and Simple Regression. Machine Learning based stock forecast (n+3m) for RSSS Research Solutions as below: RSSS Research Solutions Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+3m) For new issuers, while ou

HERITAGE BANCORP, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for HERITAGE BANCORP, INC.: We estimate the credit risk parameters by Wien Bridge Oscillator and Simple Regression Credit Ratings for HERITAGE BANCORP, INC. as of 07 Sep 2021

NYSE:MCO Stock Forecast by Delay-Line Oscillators with Ridge Regression

The stock price realization for NYSE:MCO 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+30) for MCO Moody's Corporation as below: MCO Moody's Corporation Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+30) For new issuers, while o

Federal Agricultural Mortgage Corporation Non Cumulative Preferred Stock Series B Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 02:25:03 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 Federal Agricultural Mortgage Corporation Non Cumulative Preferred Stock Series B: We estimate the credit risk parameters by Volume + Moving Average and Sign Test Credit Ratings for Federal Agricultural Mortgage Corporation Non Cumulative Preferred Stock Series B as of 07 Sep 2021 Credi

NSE:GARDENSILK Stock Forecast by Cross-Coupled Oscillators with Paired T-Test

The stock price realization for NSE:GARDENSILK is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Cross-Coupled Oscillators and Paired T-Test. Machine Learning based stock forecast (n+15) for GARDENSILK Garden Silk Mills Limited as below: GARDENSILK Garden Silk Mills Limited Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+15)

Digimarc Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for Digimarc Corporation: We estimate the credit risk parameters by Demand and Stepwise Regression Credit Ratings for Digimarc Corporation as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 66 64 Financial Signals 83 66 Risk Signals 36 78 Substantial Risks 73 36 Speculative Signals 34 67 *Machine Learning utilizes multiple learning algorithms to obtain better

LON:JARA Stock Forecast by Multi-Wave Oscillators with Stepwise Regression

The stock price realization for LON:JARA 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 Multi-Wave Oscillators and Stepwise Regression. Machine Learning based stock forecast (n+3m) for JARA JPMORGAN GLOBAL CORE REAL ASSETS LI as below: JARA JPMORGAN GLOBAL CORE REAL ASSETS LI Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n

Mobcast Holdings Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Mobcast Holdings Inc: We estimate the credit risk parameters by FS and Polynomial Regression Credit Ratings for Mobcast Holdings Inc as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 36 57 Financial Signals 46 41 Risk Signals 55 72 Substantial Risks 66 72 Speculative Signals 30 37 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In o

NYSE:PSO Stock Forecast by Electron Coupled Oscillators with Pearson Correlation

The stock price realization for NYSE:PSO 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 Pearson Correlation. Machine Learning based stock forecast (n+1y) for PSO Pearson as below: PSO Pearson Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+1y) Asset divestitures. We do not include asset sa

South West Pinnacle Exploration Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for South West Pinnacle Exploration Limited: We estimate the credit risk parameters by Chaikin Money Flow and Stepwise Regression Credit Ratings for South West Pinnacle Exploration Limited as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic

NSE:MINDACORP Stock Forecast Outlook:Negative by Speculation with Logistic Regression

The stock price realization for NSE:MINDACORP 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 Speculation and Logistic Regression. Machine Learning based stock forecast (n+1y) for MINDACORP Minda Corporation Limited as below: MINDACORP Minda Corporation Limited Stock Forecast (Buy or Sell) as of 07 Sep 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: 07 Sep 2021 for (n+1y) In determin

SWCC SHOWA HOLDINGS CO.,LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Sep 07 2021 00:25:03 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 SWCC SHOWA HOLDINGS CO.,LTD.: We estimate the credit risk parameters by Colpitts Oscillator and Ridge Regression Credit Ratings for SWCC SHOWA HOLDINGS CO.,LTD. as of 07 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 86 87 Financial Signals 78 44 Risk Signals 31 51 Substantial Risks 51 54 Speculative Signals 37 34 *Machine Learning utilizes mu

NSE:SURANASOL Stock Forecast by Electron Coupled Oscillators with ElasticNet Regression

The stock price realization for NSE:SURANASOL 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 ElasticNet Regression. Machine Learning based stock forecast (n+30) for SURANASOL Surana Solar Limited as below: SURANASOL Surana Solar Limited Stock Forecast (Buy or Sell) as of 06 Sep 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: 06 Sep 2021 for (n+30) If

Lazard Global Total Return and Income Fund Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Sep 06 2021 23:55:02 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 Lazard Global Total Return and Income Fund Common Stock: We estimate the credit risk parameters by Crystal Oscillators and Pearson Correlation Credit Ratings for Lazard Global Total Return and Income Fund Common Stock as of 06 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Baa2 Semantic Signals 80 81 Financial Signals 52 90 Risk Signals 31 87 Substantial Risks 43 65 Speculative Signals 36 76 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from t

NASDAQ:STX Stock Forecast by Williams %R with Chi-Square

The stock price realization for NASDAQ:STX 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 Williams %R and Chi-Square. Machine Learning based stock forecast (n+6m) for STX Seagate Technology PLC as below: STX Seagate Technology PLC Stock Forecast (Buy or Sell) as of 06 Sep 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: 06 Sep 2021 for (n+6m) When evaluating uses of liquidity, we inc