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Showing posts from August 21, 2021

NYSE:ZTS Stock Forecast by On Balance Volume (OBV) with Pearson Correlation

The stock price realization for NYSE:ZTS 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 Pearson Correlation. Machine Learning based stock forecast (n+3m) for ZTS Zoetis Inc. Class A as below: ZTS Zoetis Inc. Class A Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+3m) Investments should be able t

CITIZENS BANKSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for CITIZENS BANKSHARES, INC.: We estimate the credit risk parameters by Simple Moving Average (SMA) and Stepwise Regression Credit Ratings for CITIZENS BANKSHARES, INC. as of 22 Aug 2021 Credit Rating

NYSE:NPTN Stock Forecast by Momentum with Paired T-Test

The stock price realization for NYSE:NPTN 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 Momentum and Paired T-Test. Machine Learning based stock forecast (n+3m) for NPTN NeoPhotonics Corporation as below: NPTN NeoPhotonics Corporation Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+3m) Likewise, we do not consider factori

Symetra Financial Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 10:25:03 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 Symetra Financial Corporation: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Sign Test Credit Ratings for Symetra Financial Corporation as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 50 86 Financial Signals 72 87 Risk Signals 76 86 Substantial Risks 34 50 Speculative Signals 49 48 *Machine Learning utilizes multi

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

The stock price realization for NSE:SHIVAMAUTO 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 Paired T-Test. Machine Learning based stock forecast (n+30) for SHIVAMAUTO Shivam Autotech Limited as below: SHIVAMAUTO Shivam Autotech Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021

NextEra Energy, Inc. Series H Junior Subordinated Debentures due June 15, 2072 Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 09:55:02 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 NextEra Energy, Inc. Series H Junior Subordinated Debentures due June 15, 2072: We estimate the credit risk parameters by Electron Coupled Oscillators and Paired T-Test Credit Ratings for NextEra Energy, Inc.

NSE:GUJALKALI Stock Forecast Outlook:Negative by Rate of Change (ROC) with Ridge Regression

The stock price realization for NSE:GUJALKALI is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Ridge Regression. Machine Learning based stock forecast (n+7) for GUJALKALI Gujarat Alkalies and Chemicals Limited as below: GUJALKALI Gujarat Alkalies and Chemicals Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 A

Investview Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for Investview Inc: We estimate the credit risk parameters by Clapp Oscillators and Sign Test Credit Ratings for Investview Inc as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 56 40 Financial Signals 69 56 Risk Signals 50 61 Substantial Risks 88 39 Speculative Signals 58 50 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning t

NASDAQ:PSCI Stock Forecast by Williams %R with Polynomial Regression

The stock price realization for NASDAQ:PSCI 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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for PSCI Invesco S&P SmallCap Industrials ETF as below: PSCI Invesco S&P SmallCap Industrials ETF Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 fo

SEINO HOLDINGS CO., LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 08:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for SEINO HOLDINGS CO., LTD.: We estimate the credit risk parameters by Bollinger Bands %B and Spearman Correlation Credit Ratings for SEINO HOLDINGS CO., LTD. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 52 38 Financial Signals 67 51 Risk Signals 72 82 Substantial Risks 71 87 Speculative Signals 58 71 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.

NASDAQ:INFN Stock Forecast Outlook:Negative by Tri-tet Oscillators with Simple Regression

The stock price realization for NASDAQ:INFN 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 Simple Regression. Machine Learning based stock forecast (n+30) for INFN Infinera Corporation as below: INFN Infinera Corporation Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) Under times of stress, such

SECURITY STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 08:25:03 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 SECURITY STATE BANK: We estimate the credit risk parameters by Anomaly and Paired T-Test Credit Ratings for SECURITY STATE BANK as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 63 34 Financial Signals 80 75 Risk Signals 87 79 Substantial Risks 60 85 Speculative Signals 56 30 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our researc

NSE:ECLERX Stock Forecast Outlook:Negative by RC Phase Shift Oscillator with Sign Test

The stock price realization for NSE:ECLERX 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 Sign Test. Machine Learning based stock forecast (n+15) for ECLERX eClerx Services Limited as below: ECLERX eClerx Services Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+15) We do not exclude ca

Community First Financial Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 07:55:02 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 Community First Financial Corporation: We estimate the credit risk parameters by Heikin-Ashi and Multiple Regression Credit Ratings for Community First Financial Corporation as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 54 64 Financial Signals 36 65 Risk Signals 42 76 Substantial Risks 74 79 Speculative Signals 71 46 *Machine Learning utilizes multiple learning algorithm

NASDAQ:CORT Stock Forecast by On Balance Volume (OBV) with Multiple Regression

The stock price realization for NASDAQ:CORT 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 Multiple Regression. Machine Learning based stock forecast (n+15) for CORT Corcept Therapeutics Incorporated as below: CORT Corcept Therapeutics Incorporated Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n

Bankers Bancorp Of OK Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for Bankers Bancorp Of OK Inc.: We estimate the credit risk parameters by Multi-Wave Oscillators and Beta Credit Ratings for Bankers Bancorp Of OK Inc. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 62 65 Financial Signals 57 56 Risk Signals 30 69 Substantial Risks 58 35 Speculative Signals 66 71 *Machine Learning ut

NASDAQ:DMPI Stock Forecast by Envelope (ENV) with Polynomial Regression

The stock price realization for NASDAQ:DMPI is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Envelope (ENV) and Polynomial Regression. Machine Learning based stock forecast (n+6m) for DMPI DelMar Pharmaceuticals as below: DMPI DelMar Pharmaceuticals Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+6m) For example, if a compan

GREENFIELD COOP BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 06:55:02 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 GREENFIELD COOP BANK: We estimate the credit risk parameters by Speculation and ElasticNet Regression Credit Ratings for GREENFIELD COOP BANK as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 81 70 Financial Signa

NASDAQ:TSCBP Stock Forecast by Robinson Oscillators with Spearman Correlation

The stock price realization for NASDAQ:TSCBP 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 Robinson Oscillators and Spearman Correlation. Machine Learning based stock forecast (n+30) for TSCBP TriState Capital Holdings as below: TSCBP TriState Capital Holdings Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) In our ass

Giga Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for Giga: We estimate the credit risk parameters by Crystal Oscillators and ElasticNet Regression Credit Ratings for Giga as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 75 30 Financial Signals 33 83 Risk Signals 83 30 Substantial Risks 66 77 Speculative Signals 43 41 *Machine Learning utilizes multip

NASDAQ:PERI Stock Forecast by Tri-tet Oscillators with Stepwise Regression

The stock price realization for NASDAQ:PERI 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 Stepwise Regression. Machine Learning based stock forecast (n+7) for PERI Perion Network Ltd as below: PERI Perion Network Ltd Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+7) When determining the cash to be

KANSAS STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 05:55:02 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 KANSAS STATE BANK: We estimate the credit risk parameters by Simple Moving Average (SMA) and Wilcoxon Rank-Sum Test Credit Ratings for KANSAS STATE BANK as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 32 76 Financial Signals

NSE:FIEMIND Stock Forecast Outlook:Negative by EMR with Sign Test

The stock price realization for NSE:FIEMIND 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 Sign Test. Machine Learning based stock forecast (n+30) for FIEMIND Fiem Industries Limited as below: FIEMIND Fiem Industries Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) If, for example, a facility matured in

Nuveen Intermediate Duration Municipal Term Fund Common Shares of Beneficial Interest Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 05:25:02 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 Nuveen Intermediate Duration Municipal Term Fund Common Shares of Beneficial Interest: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Stepwise Regression Credit Ratings for Nuveen Intermediate Duration Municipal Term Fund Common Shares of Beneficial Interest as of 22 Aug 2021

NASDAQ:SONN Stock Forecast Outlook:Negative by Rate of Change (ROC) with Simple Regression

The stock price realization for NASDAQ:SONN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Simple Regression. Machine Learning based stock forecast (n+15) for SONN Sonnet BioTherapeutics Holdings as below: SONN Sonnet BioTherapeutics Holdings Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+15) If,

YAMATO HOLDINGS CO., LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 04:55:02 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 YAMATO HOLDINGS CO., LTD.: We estimate the credit risk parameters by Armstrong Oscillator and Logistic Regression Credit Ratings for YAMATO HOLDINGS CO., LTD. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 41 69 Financia

NASDAQ:FTXH Stock Forecast by Chaikin Oscillator with Sign Test

The stock price realization for NASDAQ:FTXH 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 Sign Test. Machine Learning based stock forecast (n+3m) for FTXH First Trust Nasdaq Pharmaceuticals ETF as below: FTXH First Trust Nasdaq Pharmaceuticals ETF Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+3m)

Huaneng Renewables Corp Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 04:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. Rating Model for Huaneng Renewables Corp Ltd: We estimate the credit risk parameters by Bollinger Bands and Wilcoxon Rank-Sum Test Credit Ratings for Huaneng Renewables Corp Ltd as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 35 87 Financial Signals 82 32 Risk Signals 76 82 Substantial Risks 44 88 Speculati

NASDAQ:OSW Stock Forecast by Trend with Pearson Correlation

The stock price realization for NASDAQ:OSW is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Trend and Pearson Correlation. Machine Learning based stock forecast (n+30) for OSW OneSpaWorld Holdings Limited as below: OSW OneSpaWorld Holdings Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) For example, if a company

TRI VALLEY BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for TRI VALLEY BANCSHARES, INC.: We estimate the credit risk parameters by Rate of Change (ROC) and Factor Credit Ratings for TRI VALLEY BANCSHARES, INC. as o

NYSE:COF Stock Forecast by Expectation with Stepwise Regression

The stock price realization for NYSE:COF is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Expectation and Stepwise Regression. Machine Learning based stock forecast (n+7) for COF Capital One Financial Corporation as below: COF Capital One Financial Corporation Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+7) In determining

SAFECO Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for SAFECO Corporation: We estimate the credit risk parameters by Chaikin Money Flow and Multiple Regression Credit Ratings for SAFECO Corporation as of 22 Au

NYSE:KTF Stock Forecast by Wien Bridge Oscillator with Beta

The stock price realization for NYSE:KTF is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Wien Bridge Oscillator and Beta. Machine Learning based stock forecast (n+30) for KTF Deutsche Municiple Income Trust as below: KTF Deutsche Municiple Income Trust Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) When assessing stron

Jiangxi Huawu Brake Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Jiangxi Huawu Brake Co., Ltd.: We estimate the credit risk parameters by Running Moving Average (RMA) and Pearson Correlation Credit Ratings for Jiangxi Huawu Brake Co., Ltd. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 84 70 Financial Signals 35 50 Risk Signals 71 74 Substantial Risks 79 50 Speculative Signals 88 78 *Machine Learning utilizes multiple learning algorithms to obtai

LON:AEFS Stock Forecast by Opto-Electronic Oscillators with ElasticNet Regression

The stock price realization for LON:AEFS 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 ElasticNet Regression. Machine Learning based stock forecast (n+1y) for AEFS ALCENTRA EUROPEAN FLTG RTE INC FD as below: AEFS ALCENTRA EUROPEAN FLTG RTE INC FD Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 f

Baraboo Bancorporation, Inc., The Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 02:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Baraboo Bancorporation, Inc., The: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Spearman Correlation Credit Ratings for Baraboo Bancorporation, Inc., The as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 69 36 Financial Signals 45 82 Risk Signals 45 53 Substantial Risks 51 75 Speculative Signals 66 57 *Mac

NSE:ISEC Stock Forecast Outlook:Negative by Commodity Channel Index with ElasticNet Regression

The stock price realization for NSE:ISEC 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 ElasticNet Regression. Machine Learning based stock forecast (n+30) for ISEC ICICI Securities Limited as below: ISEC ICICI Securities Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+30) For example, i

Fossil Group Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 01:55:02 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 Fossil Group Inc: We estimate the credit risk parameters by Volume + Moving Average and ANOVA Credit Ratings for Fossil Group Inc as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B

NASDAQ:LUMO Stock Forecast by Moving Average Convergence Divergence (MACD) with Paired T-Test

The stock price realization for NASDAQ:LUMO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Moving Average Convergence Divergence (MACD) and Paired T-Test. Machine Learning based stock forecast (n+1y) for LUMO Lumos Pharma as below: LUMO Lumos Pharma Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+1y) Investments should be

Greenway Technologies Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 01:25:02 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 Greenway Technologies Inc: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Sign Test Credit Ratings for Greenway Technologies Inc as of

NSE:BASML Stock Forecast Outlook:Negative by FS with Pearson Correlation

The stock price realization for NSE:BASML 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 Pearson Correlation. Machine Learning based stock forecast (n+7) for BASML Bannari Amman Spinning Mills Limited as below: BASML Bannari Amman Spinning Mills Limited Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+7) When calculat

Toell Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for Toell Co., Ltd.: We estimate the credit risk parameters by Aroon and Lasso Regression Credit Ratings for Toell Co., Ltd. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B3 Semantic Signals 80 65 Financial Signals 71 30 Risk Signals 86 30 Substantial Risks 67 30 Speculative Signals 55 83 *Machine Learning utilizes mu

NASDAQ:TA Stock Forecast by Clapp Oscillators with Ridge Regression

The stock price realization for NASDAQ:TA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Clapp Oscillators and Ridge Regression. Machine Learning based stock forecast (n+6m) for TA TravelCenters of America Inc. as below: TA TravelCenters of America Inc. Stock Forecast (Buy or Sell) as of 22 Aug 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 22 Aug 2021 for (n+6m) If we believe a co

Stratus Properties, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 22 2021 00:26:05 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 Stratus Properties, Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Independent T-Test Credit Ratings for Stratus Properties, Inc. as of 22 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 73 89 Financial Signals 35 39 Risk Signals 37 41 Substantial Risks 69 50 Speculative Signals 81 73 *Machine Learning utilize

NSE:TREJHARA Stock Forecast Outlook:Negative by Gunn Oscillator with Logistic Regression

The stock price realization for NSE:TREJHARA 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 Gunn Oscillator and Logistic Regression. Machine Learning based stock forecast (n+30) for TREJHARA TREJHARA SOLUTIONS LIMITED as below: TREJHARA TREJHARA SOLUTIONS LIMITED Stock Forecast (Buy or Sell) as of 21 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 Aug 2021 for (n+30) In this

FIRST TEXOMA NATIONAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Aug 21 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for FIRST TEXOMA NATIONAL BANK: We estimate the credit risk parameters by Bollinger Bands Width and Polynomial Regression Credit Ratings for FIRST TEXOMA NATIONAL BANK as of 21 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 71 61 Financial Signals 82 30 Risk Signals 60 75 Substantial Risks 58 78 Speculative Signals 85 62 *M

NASDAQ:EIGR Stock Forecast by Speculation with Factor

The stock price realization for NASDAQ:EIGR 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 Factor. Machine Learning based stock forecast (n+30) for EIGR Eiger BioPharmaceuticals as below: EIGR Eiger BioPharmaceuticals Stock Forecast (Buy or Sell) as of 21 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 21 Aug 2021 for (n+30) If a company has a credit put that cau