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Showing posts from August, 2021

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NASDAQ:STBA Stock Forecast by Chaikin Money Flow with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:STBA 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for STBA S&T Bancorp as below: STBA S&T Bancorp Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+3m) For new issuers, while our rating

International Business Machines Corporation Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 10:55:02 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 International Business Machines Corporation Common Stock: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Factor Credit Ratings for International Business Machines Corporation Common Stock as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 36 73 Financial Signals 38 40 Risk Signals 34 64 Substantial Risks 87 73 Speculative Signals 73 41 *Machine Learning uti

NASDAQ:ASUR Stock Forecast by Tri-tet Oscillators with Multiple Regression

The stock price realization for NASDAQ:ASUR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Tri-tet Oscillators and Multiple Regression. Machine Learning based stock forecast (n+3m) for ASUR Asure Software Inc as below: ASUR Asure Software Inc Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+3m) Additionally, we exclude revo

The Williams Companies Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 10:25:03 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 The Williams Companies Inc: We estimate the credit risk parameters by Opto-Electronic Oscillators and Factor Credit Ratings for The Williams Companies Inc as of 01 Sep 2021 Credit Rating Short-Term

NASDAQ:MYSZ Stock Forecast by Ring Oscillators with Simple Regression

The stock price realization for NASDAQ:MYSZ is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Simple Regression. Machine Learning based stock forecast (n+1y) for MYSZ My Size as below: MYSZ My Size Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) For these reasons, although the criteria establish no ra

Alva State Bank & Trust Company Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 09:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. Rating Model for Alva State Bank & Trust Company: We estimate the credit risk parameters by RC Phase Shift Oscillator and Logistic Regression Credit Ratings for Alva State Bank & Trust Company as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba1 Semantic Signals 77 86 F

NYSE:NCA Stock Forecast by Crystal Oscillators with Sign Test

The stock price realization for NYSE:NCA 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 Crystal Oscillators and Sign Test. Machine Learning based stock forecast (n+3m) for NCA Nuveen California Municipal Value Fund as below: NCA Nuveen California Municipal Value Fund Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+3m) For

Black Hills Corporation Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 09:25:02 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 Black Hills Corporation Common Stock: We estimate the credit risk parameters by Penetration and Ridge Regression Credit Ratings for Black Hills Corporation Common Stock as of 01 S

NASDAQ:EVFM Stock Forecast by Envelope (ENV) with Spearman Correlation

The stock price realization for NASDAQ:EVFM 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 Spearman Correlation. Machine Learning based stock forecast (n+15) for EVFM Evofem Biosciences as below: EVFM Evofem Biosciences Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+15) In these cases, the level of capi

Tantech Holdings Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 08:55:02 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 Tantech Holdings Ltd: We estimate the credit risk parameters by Bollinger Bands and Multiple Regression Credit Ratings for Tantech Holdings Ltd as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating

LON:ACRL Stock Forecast by Hartley Oscillator with Ridge Regression

The stock price realization for LON:ACRL 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 Hartley Oscillator and Ridge Regression. Machine Learning based stock forecast (n+1y) for ACRL ACCROL GROUP HOLDINGS PLC as below: ACRL ACCROL GROUP HOLDINGS PLC Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) While the existence of

Berkshire Hathaway Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 08:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for Berkshire Hathaway Inc. Common Stock: We estimate the credit risk parameters by Gunn Oscillator and Spearman Correlation Credit Ratings for Berkshire Hathaway Inc. Common Stock as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Seman

NSE:MAHINDCIE Stock Forecast by Speculation with Lasso Regression

The stock price realization for NSE:MAHINDCIE 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 Lasso Regression. Machine Learning based stock forecast (n+6m) for MAHINDCIE Mahindra CIE Automotive Limited as below: MAHINDCIE Mahindra CIE Automotive Limited Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+6m) In

CyrusOne LP Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 07:55:03 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 CyrusOne LP: We estimate the credit risk parameters by Clapp Oscillators and Pearson Correlation Credit Ratings for CyrusOne LP as of 01 Sep 2021 Credit R

NASDAQ:INSG Stock Forecast by Electron Coupled Oscillators with Paired T-Test

The stock price realization for NASDAQ:INSG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Electron Coupled Oscillators and Paired T-Test. Machine Learning based stock forecast (n+1y) for INSG Inseego Corp. as below: INSG Inseego Corp. Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) The EBITDA declines companies would

Travelers Casualty and Surety Co. of America Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow. Rating Model for Travelers Casualty and Surety Co. of America: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Beta Credit Ratings for Travelers Casualty and Surety Co. of America as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 56 59 Financial Signals 58 76 Risk Signals 64 30 Substantial Risks 45 72 Speculative Signals 83 75 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machin

NASDAQ:SOHOO Stock Forecast by Bollinger Bands %B with Beta

The stock price realization for NASDAQ:SOHOO 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 %B and Beta. Machine Learning based stock forecast (n+15) for SOHOO Sotherly Hotels Inc. as below: SOHOO Sotherly Hotels Inc. Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+15) Our liquidity uses include dividends a

ELLCO BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 06:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for ELLCO BANCSHARES, INC.: We estimate the credit risk parameters by Armstrong Oscillator and Chi-Square Credit Ratings for ELLCO BANCSHARES, INC. as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 42 65 Financial Signals 34 88 Risk Signals 65 61 Substantial Risks 68 69 Speculative Signals 74 50 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize ma

LON:NCYF Stock Forecast by Demand with Spearman Correlation

The stock price realization for LON:NCYF is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Demand and Spearman Correlation. Machine Learning based stock forecast (n+1y) for NCYF CQS NEW CITY HIGH YIELD FUND LD as below: NCYF CQS NEW CITY HIGH YIELD FUND LD Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) When assessing str

First Security Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 06:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for First Security Bank: We estimate the credit risk parameters by Stochastic Oscillator and ANOVA Credit Ratings for First Security Bank as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 77 58 Financial Signals 39 38 Risk Signals 74 78 Substantial Risks 50 38 Speculative Signals 57 74 *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

NYSE:DOV Stock Forecast by Opto-Electronic Oscillators with Chi-Square

The stock price realization for NYSE:DOV 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 Chi-Square. Machine Learning based stock forecast (n+6m) for DOV Dover Corporation as below: DOV Dover Corporation Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+6m) To assess an issuer's standing in

WSB MUNICIPAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 05:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity. Rating Model for WSB MUNICIPAL BANK: We estimate the credit risk parameters by Penetration and Factor Credit Ratings for WSB MUNICIPAL BANK as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 44 59 Financial Signals 63 57 Risk Signals 63 37 Substantial Risks 57 52 Speculative Signals 73 73 *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 a

NASDAQ:ASPU Stock Forecast by Rating with Lasso Regression

The stock price realization for NASDAQ:ASPU is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rating and Lasso Regression. Machine Learning based stock forecast (n+15) for ASPU Aspen Group Inc. as below: ASPU Aspen Group Inc. Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+15) Shared facilities with captive finance entities.

TAKAMISAWA CO., LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for TAKAMISAWA CO., LTD.: We estimate the credit risk parameters by Exponential Moving Average (EMA) and ElasticNet Regression Credit Ratings for TAKAMISAWA CO., LTD. as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 67 57 Financial Sig

NSE:MEP Stock Forecast by Average True Range (ATR) with Multiple Regression

The stock price realization for NSE:MEP 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 Average True Range (ATR) and Multiple Regression. Machine Learning based stock forecast (n+6m) for MEP MEP Infrastructure Developers Limited as below: MEP MEP Infrastructure Developers Limited Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for

Halcon Resources Corporation Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 04:55:02 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 Halcon Resources Corporation Common Stock: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Multiple Regression Credit Ratings for Halcon Resources Corporation Common Stock as of 01 Sep 2021

LON:BKIC Stock Forecast Outlook:Negative by Pearson-Anson Oscillators with Spearman Correlation

The stock price realization for LON:BKIC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Pearson-Anson Oscillators and Spearman Correlation. Machine Learning based stock forecast (n+1y) for BKIC BANK OF IRELAND(GOVERNOR&CO OF) as below: BKIC BANK OF IRELAND(GOVERNOR&CO OF) Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 fo

China Rare Earth Holdings Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 04:25:02 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 China Rare Earth Holdings Limited: We estimate the credit risk parameters by Delay-Line Oscillators and Chi-Square Credit Ratings for China Rare Earth Hol

NASDAQ:CVCY Stock Forecast by Price Channels with ElasticNet Regression

The stock price realization for NASDAQ:CVCY is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Channels and ElasticNet Regression. Machine Learning based stock forecast (n+1y) for CVCY Central Valley Community Bancorp as below: CVCY Central Valley Community Bancorp Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) For

MARYLAND FINANCIAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 03:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. Rating Model for MARYLAND FINANCIAL BANK: We estimate the credit risk parameters by Simple Moving Average (SMA) and Independent T-Test Credit Ratings for MARYLAND FINANCIAL BANK as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 81 48 Financial Signals 82 69 Risk Signals 66 67 Substantial Risks 31 38 Speculative Signals 68 82 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to comb

LON:GTLY Stock Forecast Outlook:Negative by Volume with Multiple Regression

The stock price realization for LON:GTLY 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 Volume and Multiple Regression. Machine Learning based stock forecast (n+7) for GTLY GATELEY (HOLDINGS) PLC as below: GTLY GATELEY (HOLDINGS) PLC Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+7) To assess forecasted working capital out

Enersys Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 03:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for Enersys Common Stock: We estimate the credit risk parameters by Adaptive Moving Average and Wilcoxon Rank-Sum Test Credit Ratings for Enersys Common Stock as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 46 64 Fi

NASDAQ:BSCL Stock Forecast by Chaikin Oscillator with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:BSCL 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+15) for BSCL Invesco BulletShares 2021 Corporate Bond ETF as below: BSCL Invesco BulletShares 2021 Corporate Bond ETF Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast

Nord Anglia Education, Inc. Ordinary Shares Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for Nord Anglia Education, Inc. Ordinary Shares: We estimate the credit risk parameters by RC Phase Shift Oscillator and Wilcoxon Sign-Rank Test Credit Ratings for Nord Anglia Education, Inc. Ordinary Shares as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 78 55 Financial Signals 84 72 Risk Signals 87 52 Substantial Risks 41 33 Speculative Signals 39 39 *Machine Learning utilizes multiple learning algorithms to

NASDAQ:PRGS Stock Forecast by Tri-tet Oscillators with Linear Regression

The stock price realization for NASDAQ:PRGS 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 Linear Regression. Machine Learning based stock forecast (n+7) for PRGS Progress Software Corporation as below: PRGS Progress Software Corporation Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+7) When calcula

CITIZENS SOUTHERN BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. Rating Model for CITIZENS SOUTHERN BANCSHARES, INC.: We estimate the credit risk parameters by Commodity Channel Index and Factor Credit Ratings for CITIZENS SOUTHERN BANCSHARES, INC. as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 74 44 Financial Signals 34

NASDAQ:LHCG Stock Forecast by Electron Coupled Oscillators with Lasso Regression

The stock price realization for NASDAQ:LHCG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Electron Coupled Oscillators and Lasso Regression. Machine Learning based stock forecast (n+15) for LHCG LHC Group as below: LHCG LHC Group Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+15) Given that we exclude proposed "best

Hennessy Capital Acquisition Corp. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 01:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for Hennessy Capital Acquisition Corp.: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Multiple Regression Credit Ratings for Hennessy Capital Acquisition Corp. as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 54 84 Financial Signals 75 60 Risk Signals 47 36 Substantial Risks 34 40 Speculative Signals 62 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine lear

NYSE:CTS Stock Forecast Outlook:Negative by Meissner Oscillators with Simple Regression

The stock price realization for NYSE:CTS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Meissner Oscillators and Simple Regression. Machine Learning based stock forecast (n+1y) for CTS CTS Corporation as below: CTS CTS Corporation Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) In our assessment of a company's liqu

PCNB CORP. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 01:25:02 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 PCNB CORP.: We estimate the credit risk parameters by Price Channels and Lasso Regression Credit Ratings for PCNB CORP. as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 43 79 Financial Signals 48 73 Risk Signals 37 45 Subst

NSE:RPGLIFE Stock Forecast by Stochastic Oscillator with Sign Test

The stock price realization for NSE:RPGLIFE 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 Sign Test. Machine Learning based stock forecast (n+3m) for RPGLIFE RPG Life Sciences Limited as below: RPGLIFE RPG Life Sciences Limited Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+3m) We do not exclude

Shenzhen Prolto Supply Chain Mgt Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for Shenzhen Prolto Supply Chain Mgt Co Ltd: We estimate the credit risk parameters by Hartley Oscillator and Linear Regression Credit Ratings for Shenzhen Prolto Supply Chain Mgt Co Ltd as of 01 Sep 2021 Credit Rating Short-Te

NASDAQ:CVCO Stock Forecast Outlook:Negative by Bollinger Bands with Logistic Regression

The stock price realization for NASDAQ:CVCO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands and Logistic Regression. Machine Learning based stock forecast (n+1y) for CVCO Cavco Industries as below: CVCO Cavco Industries Stock Forecast (Buy or Sell) as of 01 Sep 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Sep 2021 for (n+1y) Likewise, we do not consider factorin

CITIZENS BANK OF EDMOND Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Sep 01 2021 00:25:02 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 CITIZENS BANK OF EDMOND: We estimate the credit risk parameters by Meissner Oscillators and Wilcoxon Rank-Sum Test Credit Ratings for CITIZENS BANK OF EDMOND as of 01 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 34 58 Financial Signals 49 80 Risk Signals 61 83 Substantial Risks 52 31 Speculative S

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

The stock price realization for NSE:KANANIIND 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+6m) for KANANIIND Kanani Industries Limited as below: KANANIIND Kanani Industries Limited Stock Forecast (Buy or Sell) as of 31 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: 31 Aug 2021 for (n+6m) Inve

Qingdao West Coast Development Group Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 31 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 Qingdao West Coast Development Group Co., Ltd.: We estimate the credit risk parameters by RRS and Chi-Square Credit Ratings for Qingdao West Coast Development Group Co., Ltd. as of 31 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 37 37 Financial Signals 69 80 Risk Signals 78 71 Substantial Risks 44 55 Speculative Signals

NASDAQ:GRTS Stock Forecast by FS with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:GRTS 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for GRTS Gritstone Oncology as below: GRTS Gritstone Oncology Stock Forecast (Buy or Sell) as of 31 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: 31 Aug 2021 for (n+3m) If a company has a credit put that causes d

JOHNSON MATTHEY PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 31 2021 23:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for JOHNSON MATTHEY PLC: We estimate the credit risk parameters by OCL and Multiple Regression Credit Ratings for JOHNSON MATTHEY PLC as of 31 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 45 41 Financial Signals 63 75 Risk Signals 64 53 Substantial Risks 47 75 Speculative Signals 53 81 *Machine Learning utilizes multiple learning algorithms

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