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Showing posts from August 15, 2021

LON:LIV Stock Forecast by EMR with Factor

The stock price realization for LON:LIV 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 Factor. Machine Learning based stock forecast (n+7) for LIV LIVERMORE INVESTMENTS GROUP LD as below: LIV LIVERMORE INVESTMENTS GROUP LD Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) When calculating sources of liquidity, we o

Tianrun Crankshaft Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 10:55:02 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 Tianrun Crankshaft Co Ltd: We estimate the credit risk parameters by Pierce Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Tianrun Crankshaft Co Ltd as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 83 54 Financial Signals 43 71 Risk Signals 48 62 Substantial Risks 75 39 Speculative Signals 40 38 *Machin

NSE:VIPIND Stock Forecast by Stochastic Oscillator with Simple Regression

The stock price realization for NSE:VIPIND is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Stochastic Oscillator and Simple Regression. Machine Learning based stock forecast (n+6m) for VIPIND VIP Industries Limited as below: VIPIND VIP Industries Limited Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+6m) To assess an issue

National Bancorp Holdings, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for National Bancorp Holdings, Inc.: We estimate the credit risk parameters by Profit and Lasso Regression Credit Ratings for National Bancorp Holdings, Inc. as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 71 63 Financial Signals 90 46 Risk Signals 80 77 Substantial Risks 58 83 Speculative Signals 34 87 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

NYSE:RMAX Stock Forecast by Expectation with Factor

The stock price realization for NYSE:RMAX 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 Factor. Machine Learning based stock forecast (n+1y) for RMAX RE/MAX Holdings as below: RMAX RE/MAX Holdings Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) Shared facilities with captive finance entities. When an

ATHOL SAVINGS BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 09:55:02 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 ATHOL SAVINGS BANK: We estimate the credit risk parameters by Chaikin Oscillator and Beta Credit Ratings for ATHOL SAVINGS BANK as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 57 81 Financial Signals 72 61 Risk Signals 33 44 Substantial Risks 30 88 Speculative Signals 88 50 *Machine Learning util

NYSE:CDR Stock Forecast Outlook:Negative by Speculation with ANOVA

The stock price realization for NYSE:CDR 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 ANOVA. Machine Learning based stock forecast (n+6m) for CDR Cedar Realty Trust as below: CDR Cedar Realty Trust Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+6m) We believe that when a company is viewed as being on the

Anhui Gourgen Traffic Construction CoLtd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 09:25:02 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 Anhui Gourgen Traffic Construction CoLtd: We estimate the credit risk parameters by Clapp Oscillators and Lasso Regression Credit Ratings for Anhui Gourgen Traffic Construction CoLtd as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic S

NYSE:PMF Stock Forecast by Commodity Channel Index with Sign Test

The stock price realization for NYSE:PMF 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 Sign Test. Machine Learning based stock forecast (n+7) for PMF PIMCO Municipal Income Fund as below: PMF PIMCO Municipal Income Fund Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) Given the earnings volati

NFE Atlantic Holdings, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 08:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for NFE Atlantic Holdings, LLC: We estimate the credit risk parameters by Bollinger Bands Width and ANOVA Credit Ratings for NFE Atlantic Holdings, LLC as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba1 Semantic Signals 50 82 Financial Signals 32 40 Risk Signals 50 80 Substantial Risks 47 81 Speculative Signals 78 73 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utiliz

NASDAQ:PUB Stock Forecast by Relative Strength Index (RSI) with ElasticNet Regression

The stock price realization for NASDAQ:PUB is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Relative Strength Index (RSI) and ElasticNet Regression. Machine Learning based stock forecast (n+15) for PUB People's Utah Bancorp as below: PUB People's Utah Bancorp Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+15) We do

FNB Hartford Bancorp Incorporated Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 08:25:02 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 FNB Hartford Bancorp Incorporated: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Pearson Correlation Credit Ratings for FNB Hartford Bancorp Incorporated as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B2 Semantic Signals 35 56 Financial Signals 30 46 Risk Signals 30 55 Substantial Risks 58 45 Specula

NSE:WABAG Stock Forecast Outlook:Negative by SMoothed Moving Average (SMMA) with ANOVA

The stock price realization for NSE:WABAG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with SMoothed Moving Average (SMMA) and ANOVA. Machine Learning based stock forecast (n+30) for WABAG VA Tech Wabag Limited as below: WABAG VA Tech Wabag Limited Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+30) Investments should be able

STATE EXCHANGE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for STATE EXCHANGE BANK: We estimate the credit risk parameters by Accumulation Distribution Line and Lasso Regression Credit Ratings for STATE EXCHANGE BANK as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 62 52 Financial Signals 80 88 Risk Signals 62 71 Substantial Risks 44 56 Speculative Signals 73 30 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

NSE:SANWARIA Stock Forecast by Chaikin Money Flow with Pearson Correlation

The stock price realization for NSE:SANWARIA 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 Money Flow and Pearson Correlation. Machine Learning based stock forecast (n+1y) for SANWARIA Sanwaria Consumer Limited as below: SANWARIA Sanwaria Consumer Limited Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) For exc

DRUM INCOME PLUS REIT PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 07:25:02 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 DRUM INCOME PLUS REIT PLC: We estimate the credit risk parameters by Stochastic Oscillator and Lasso Regression Credit Ratings for DRUM INCOME PLUS REIT PLC as of 16 Aug 2021 Credit Rating Short-Te

LON:MINI Stock Forecast by Speculation with Factor

The stock price realization for LON:MINI 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+7) for MINI MITON UK MICROCAP TRUST PLC as below: MINI MITON UK MICROCAP TRUST PLC Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) When assessing strong or exceptional l

Our Community Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 06:55:02 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 Our Community Bank: We estimate the credit risk parameters by Volume + Moving Average and Polynomial Regression Credit Ratings for Our Community Bank as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 89 85 Financial Signals 53 42 Risk Signals 34 77 Substantial Risks 54 40 Speculative Signals 87 86 *Machine Learning utilizes multiple learning algorithms to obtain better pred

NASDAQ:QRTEA Stock Forecast by Tuned Collector Oscillator with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:QRTEA 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 Tuned Collector Oscillator and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for QRTEA Qurate Retail as below: QRTEA Qurate Retail Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+3m) Given that it can be diffi

RAMONA BANKSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 06:25:01 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 RAMONA BANKSHARES, INC.: We estimate the credit risk parameters by Price and Ridge Regression Credit Ratings for RAMONA BANKSHARES, INC. as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 45 30 Financial Signals 44 81 Risk Signals 51 33 Substantial Risks 48 69 Speculative Signals 75 54 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machin

NYSE:UNM Stock Forecast Outlook:Negative by Robinson Oscillators with Polynomial Regression

The stock price realization for NYSE:UNM 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 Polynomial Regression. Machine Learning based stock forecast (n+1y) for UNM Unum Group as below: UNM Unum Group Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) If we believe a company would use cash trapped

Kinetic Group Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 05:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for Kinetic Group Inc: We estimate the credit risk parameters by Directional Movement Indicator and Ridge Regression Credit Ratings for Kinetic Group Inc as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 78 45 Financial Signals 65 71 Risk Signals 45 74 Substantial Risks 80 58 Speculative Signals 80 46 *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.

NSE:APOLLO Stock Forecast by Rate of Change (ROC) with Simple Regression

The stock price realization for NSE:APOLLO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Simple Regression. Machine Learning based stock forecast (n+7) for APOLLO Apollo Micro Systems Limited as below: APOLLO Apollo Micro Systems Limited Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) For compan

St. Charles Bank & Trust Company Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 05:25:02 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 St. Charles Bank & Trust Company: We estimate the credit risk parameters by Clapp Oscillators and ElasticNet Regression Credit Ratings for St. Charles Bank & Trust Company as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 42 58 Financial Signals 74 47 Risk Signals 79 55 Substantial Risks 62 70 Speculative Sig

NASDAQ:ISIG Stock Forecast Outlook:Negative by Moving Average Convergence Divergence (MACD) with Polynomial Regression

The stock price realization for NASDAQ:ISIG 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 Polynomial Regression. Machine Learning based stock forecast (n+1y) for ISIG Insignia Systems as below: ISIG Insignia Systems Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) Given

First State Capital Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 04:55:04 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for First State Capital Corporation: We estimate the credit risk parameters by Running Moving Average (RMA) and Logistic Regression Credit Ratings for First State Capital Corporation as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 32 36 Financial Signals 79 69 Risk Signals 64 59 Sub

NASDAQ:TFSL Stock Forecast by Bollinger Bands with Sign Test

The stock price realization for NASDAQ:TFSL is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands and Sign Test. Machine Learning based stock forecast (n+3m) for TFSL TFS Financial Corporation as below: TFSL TFS Financial Corporation Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+3m) When evaluating uses of liqui

Sumitomo Forestry Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 04:25:02 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 Sumitomo Forestry Co., Ltd.: We estimate the credit risk parameters by Accumulation Distribution Line and Factor Credit Ratings for Sumitomo Forestry Co., Ltd. as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 69 70 Financial Signals 73 83 Risk Signals 59 74 Substantial Risks 76 68 Speculative Signals 56 81 *Mach

NASDAQ:IRTC Stock Forecast Outlook:Negative by Gunn Oscillator with Sign Test

The stock price realization for NASDAQ:IRTC 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 Sign Test. Machine Learning based stock forecast (n+1y) for IRTC iRhythm Technologies as below: IRTC iRhythm Technologies Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) For exceptional and strong liquidity as

Synalloy Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 03:55:02 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 Synalloy Corporation: We estimate the credit risk parameters by Volume + Moving Average and Factor Credit Ratings for Synalloy Corporation as of 16 Aug 2021 Credit Rating Short-Term Long-Term S

NSE:APOLSINHOT Stock Forecast Outlook:Negative by Ring Oscillators with Chi-Square

The stock price realization for NSE:APOLSINHOT is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Chi-Square. Machine Learning based stock forecast (n+15) for APOLSINHOT Apollo Sindoori Hotels Limited as below: APOLSINHOT Apollo Sindoori Hotels Limited Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+15) We

CITIZENS STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 03:25:02 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 CITIZENS STATE BANK: We estimate the credit risk parameters by Anomaly and Simple Regression Credit Ratings for CITIZENS STATE BANK as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 47 70 Financial Signals 68 37 Risk Signals 53 34 Substantial Risks 44 75 Speculative Signals 74 63 *Machine Learning u

NYSE:CGA Stock Forecast Outlook:Negative by Opto-Electronic Oscillators with Spearman Correlation

The stock price realization for NYSE:CGA 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 Spearman Correlation. Machine Learning based stock forecast (n+7) for CGA China Green Agriculture as below: CGA China Green Agriculture Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) When assessing str

TeleCommunication Systems, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 02:55:12 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for TeleCommunication Systems, Inc.: We estimate the credit risk parameters by Heikin-Ashi and Chi-Square Credit Ratings for TeleCommunication Systems, Inc. as of 16 Aug 2021 Credit Ratin

NASDAQ:HMSY Stock Forecast by Money Flow Index (MFI) with Independent T-Test

The stock price realization for NASDAQ:HMSY 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 Money Flow Index (MFI) and Independent T-Test. Machine Learning based stock forecast (n+6m) for HMSY HMS Holdings Corp as below: HMSY HMS Holdings Corp Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+6m) We do not exclude cash that t

Kinmundy Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Kinmundy Bank: We estimate the credit risk parameters by Rating and Independent T-Test Credit Ratings for Kinmundy Bank as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 49 67 Financial Signals 79 68 Risk Signals 56 88 Substantial Risks 65 36 Speculative Signals 32 33 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize m

NASDAQ:BRKL Stock Forecast Outlook:Negative by Cross-Coupled Oscillators with Linear Regression

The stock price realization for NASDAQ:BRKL 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 Linear Regression. Machine Learning based stock forecast (n+1y) for BRKL Brookline Bancorp as below: BRKL Brookline Bancorp Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+1y) In determining how prudent

DEWHURST PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 01:55:01 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 DEWHURST PLC: We estimate the credit risk parameters by Stochastic Oscillator and Wilcoxon Rank-Sum Test Credit Ratings for DEWHURST PLC as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba2 Semantic Signals 55 48 Financial Signals 76 90 Risk Signals 65 61 Substantial Risks 87 63 Speculative Signals 84 82 *Machine Learning utilizes multiple learning algor

NYSE:OPY Stock Forecast Outlook:Negative by Relative Strength Index (RSI) with Ridge Regression

The stock price realization for NYSE:OPY is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Relative Strength Index (RSI) and Ridge Regression. Machine Learning based stock forecast (n+6m) for OPY Oppenheimer Holdings as below: OPY Oppenheimer Holdings Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+6m) To assess forecasted wo

FIRST STATE BANK OF DONGOLA Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for FIRST STATE BANK OF DONGOLA: We estimate the credit risk parameters by RC Phase Shift Oscillator and Factor Credit Ratings for FIRST STATE BANK OF DONGOLA as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba2 Semantic Signals 75 66 Financial Signals 71 74 Risk Signals 64 74 Substantial Risks 56 80

NASDAQ:GLYC Stock Forecast Outlook:Negative by Tri-tet Oscillators with Sign Test

The stock price realization for NASDAQ:GLYC 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 Sign Test. Machine Learning based stock forecast (n+6m) for GLYC GlycoMimetics as below: GLYC GlycoMimetics Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+6m) If we believe a company would use cash trapped at

Zhejiang Hailiang Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. Rating Model for Zhejiang Hailiang Co., Ltd.: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and ANOVA Credit Ratings for Zhejiang Hailiang Co., Ltd. as of 16 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B3 Semantic Signals 56 50 Financial Signals 31 37 Risk Signals 36 32 Substantial Risks 51 58 Speculative Signals 47 49 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to c

LON:LVCG Stock Forecast by Price Oscillator (PPO) with Beta

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 Price Oscillator (PPO) and Beta. Machine Learning based stock forecast (n+7) for LVCG LIVE COMPANY GROUP PLC as below: LVCG LIVE COMPANY GROUP PLC Stock Forecast (Buy or Sell) as of 16 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: 16 Aug 2021 for (n+7) We believe that when a company is viewe

FULLER, SMITH & TURNER PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 16 2021 00:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for FULLER, SMITH & TURNER PLC: We estimate the credit risk parameters by Trend and Independent T-Test Credit Ratings for FULLER, SMITH & TURNER PLC as of 16

NASDAQ:SFNC Stock Forecast Outlook:Negative by Delay-Line Oscillators with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:SFNC 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for SFNC Simmons First National Corporation as below: SFNC Simmons First National Corporation Stock Forecast (Buy or Sell) as of 15 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: 15 Aug 2021 fo

Solera Holdings, Inc. Solera Holdings, Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 15 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for Solera Holdings, Inc. Solera Holdings, Inc. Common Stock: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Beta Credit Ratings for Solera Holdings, Inc. Solera Holdings, Inc. Common Stock as of 15 Aug 2021 Credit Rating Short-Term Long-Term Senior

NASDAQ:PTI Stock Forecast by Trend with Chi-Square

The stock price realization for NASDAQ:PTI 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 Chi-Square. Machine Learning based stock forecast (n+15) for PTI Proteostasis Therapeutics as below: PTI Proteostasis Therapeutics Stock Forecast (Buy or Sell) as of 15 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: 15 Aug 2021 for (n+15) In these cases, the level of capital expe

KFG Resources Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Aug 15 2021 23:25:02 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 KFG Resources Ltd.: We estimate the credit risk parameters by Momentum and Simple Regression Credit Ratings for KFG Resources Ltd. as of 15 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Baa2 Semantic Signals 84 59 Financial Signals 86 87