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Showing posts from October 19, 2021

China Xd Electric Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 10:55:03 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 China Xd Electric Co., Ltd.: We estimate the credit risk parameters by Simple Moving Average (SMA) and Chi-Square Credit Ratings for China Xd Electric Co., Ltd. as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 40 59 Financial Signals 40 30 Risk Signals 50 55 Substantial Risks 53 65 Speculativ

LON:79GL Stock Forecast by Delay-Line Oscillators with Beta

The stock price realization for LON:79GL 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 Beta. Machine Learning based stock forecast (n+1y) for 79GL CAFFYNS PLC as below: 79GL CAFFYNS PLC Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+1y) While we only include contractual acquisitions when calcul

CARROLLTON FEDERAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 10:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Rating Model for CARROLLTON FEDERAL BANK: We estimate the credit risk parameters by Bollinger Bands and Wilcoxon Sign-Rank Test Credit Ratings for CARROLLTON FEDERAL BANK as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 63 47 Financial Signals 68 35 Risk

LON:MERC Stock Forecast by Modified (Smoothed) Moving Average with Multiple Regression

The stock price realization for LON:MERC 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 Modified (Smoothed) Moving Average and Multiple Regression. Machine Learning based stock forecast (n+7) for MERC MERCIA ASSET MANAGEMENT PLC as below: MERC MERCIA ASSET MANAGEMENT PLC Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+7) Ou

Guangdong Xnbo Elctl Applns Hldgs Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for Guangdong Xnbo Elctl Applns Hldgs Co Ltd: We estimate the credit risk parameters by Average True Range (ATR) and Factor Credit Ratings for Guangdong Xnbo Elctl Applns Hldgs Co Ltd as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3 Semantic Signals 82 40 Financial Signals 79 57 Risk Signals 71 87 Substantial Risks 30 59 Speculative Signals 85 83 *Machine Learning utilizes multiple learning algorith

NASDAQ:CACG Stock Forecast by Heikin-Ashi with Linear Regression

The stock price realization for NASDAQ:CACG 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 Heikin-Ashi and Linear Regression. Machine Learning based stock forecast (n+15) for CACG ClearBridge All Cap Growth ETF as below: CACG ClearBridge All Cap Growth ETF Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+15) Our liquidity u

FLORA BANK & TRUST Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume the debt will need to be repaid/refinanced on the day the put can be first exercised. Rating Model for FLORA BANK & TRUST: We estimate the credit risk parameters by Rate of Change (ROC) and Beta Credit Ratings for FLORA BANK & TRUST as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba2 Semantic Signals 87 36 Financial Signals 71 57 Risk Signals 66 85 Substa

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

The stock price realization for NASDAQ:ARVN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Triple Exponential Moving Average (TRIX) and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for ARVN Arvinas as below: ARVN Arvinas Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) We believe that when a comp

World Fuel Services Corporation Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 08:55:03 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 World Fuel Services Corporation Common Stock: We estimate the credit risk parameters by Sustainability and Ridge Regression Credit Ratings for World Fuel Services

NYSE:KIM Stock Forecast Outlook:Negative by Bollinger Bands with Beta

The stock price realization for NYSE:KIM 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 Beta. Machine Learning based stock forecast (n+7) for KIM Kimco Realty Corporation as below: KIM Kimco Realty Corporation Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+7) In determining how prudent a company's r

Heilongjiang Agriculture Company Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 08:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for Heilongjiang Agriculture Company Limited: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Wilcoxon Rank-Sum Test Credit Ratings for Heilongjiang Agriculture Company Limited as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior A

NASDAQ:DLHC Stock Forecast Outlook:Negative by SMoothed Moving Average (SMMA) with ElasticNet Regression

The stock price realization for NASDAQ:DLHC 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 ElasticNet Regression. Machine Learning based stock forecast (n+6m) for DLHC DLH Holdings Corp. as below: DLHC DLH Holdings Corp. Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) Other factors we

Suburban Propane Partners, L.P. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not include potential future debt issuances as a source of liquidity because of the uncertainty of a company's ability to access debt markets in times of financial stress, even for investment-grade issuers. For instance, in the case of a proposed financing, with the intended use of proceeds to repay existing debt, we will assess a company's liquidity excluding the proposed financing until it's obtained or fully underwritten. Rating Model for Suburban Propane Partners, L.P. Common Stock: We estimate the credit risk parameters by Simple Moving Average (SMA) and Linear Regression Credit Ratings for Suburban Propane Partners, L.P. Common Stock as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 43 66 Fin

NASDAQ:TTD Stock Forecast by Aroon with Linear Regression

The stock price realization for NASDAQ:TTD 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 Aroon and Linear Regression. Machine Learning based stock forecast (n+6m) for TTD The Trade Desk as below: TTD The Trade Desk Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) If a company has a credit put that causes debt accelerat

Beijing Roborock Technology Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 07:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Rating Model for Beijing Roborock Technology Co Ltd: We estimate the credit risk parameters by Running Moving Average (RMA) and Logistic Regression Credit Ratings for Beijing Roborock Technology Co Ltd as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic

NASDAQ:HCSG Stock Forecast by Modified (Smoothed) Moving Average with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:HCSG 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 Modified (Smoothed) Moving Average and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+7) for HCSG Healthcare Services Group as below: HCSG Healthcare Services Group Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+7)

Pioneer Diversified High Income Trust Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 06:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Rating Model for Pioneer Diversified High Income Trust: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Lasso Regression Credit Ratings for Pioneer Diversified High Income Trust as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semanti

LON:GVMH Stock Forecast by On Balance Volume (OBV) with Logistic Regression

The stock price realization for LON:GVMH is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with On Balance Volume (OBV) and Logistic Regression. Machine Learning based stock forecast (n+6m) for GVMH GRAND VISION MEDIA HOLDINGS PLC as below: GVMH GRAND VISION MEDIA HOLDINGS PLC Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) In

SEVIER COUNTY BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 06:25:02 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 SEVIER COUNTY BANCSHARES, INC.: We estimate the credit risk parameters by Speculation and Wilcoxon Sign-Rank Test Credit Ratings for SEVIER COUNTY BANCSHARES, INC. as of 20 Oct 20

NASDAQ:BTEC Stock Forecast by On Balance Volume (OBV) with Pearson Correlation

The stock price realization for NASDAQ:BTEC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with On Balance Volume (OBV) and Pearson Correlation. Machine Learning based stock forecast (n+30) for BTEC Principal Healthcare Innovators Index ETF as below: BTEC Principal Healthcare Innovators Index ETF Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20

Del Frisco's Restaurant Group, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 05:55:03 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 Del Frisco's Restaurant Group, Inc.: We estimate the credit risk parameters by Dynatron Oscillators and Lasso Regression Credit Ratings for Del Frisco's Restaurant Group, Inc. as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 61 46 Financial Signals 81 38 Risk Signals 44 34 Substantial Risks 34 82 Speculative Signals 34 61 *Machine Learning utilizes multiple learning algorithms to obtain better predictive

NYSE:USNA Stock Forecast by Dynatron Oscillators with Linear Regression

The stock price realization for NYSE:USNA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Dynatron Oscillators and Linear Regression. Machine Learning based stock forecast (n+6m) for USNA USANA Health Sciences as below: USNA USANA Health Sciences Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) For these reasons, althoug

John Hancock Life & Health Insurance Co. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 05:25:04 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 John Hancock Life & Health Insurance Co.: We estimate the credit risk parameters by Meissner Oscillators and Paired T-Test Credit Ratings for John Hancock Life & Health Insurance Co. as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 43 87 Financial Signals 87 50 Risk Signals 52 83 Substantial Risks 43 45 Speculative Signals 47 47 *Machine Learning utilizes multiple learning algorithms to obtain bette

LON:AUG Stock Forecast by Penetration with Stepwise Regression

The stock price realization for LON:AUG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Penetration and Stepwise Regression. Machine Learning based stock forecast (n+7) for AUG AUGEAN PLC as below: AUG AUGEAN PLC Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+7) Our liquidity uses include dividends and share repurchases tha

Open Plan Systems, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 04:55:02 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 Open Plan Systems, Inc.: We estimate the credit risk parameters by Sustainability and Chi-Square Credit Ratings for Open Plan Systems, Inc. as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 57 58 Financial Signals 57 36 Risk Signals 44 58 Substantial Risks 61 55 Speculative Signals 39 64 *Ma

NASDAQ:CAAS Stock Forecast by Profit with Ridge Regression

The stock price realization for NASDAQ:CAAS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Profit and Ridge Regression. Machine Learning based stock forecast (n+30) for CAAS China Automotive Systems as below: CAAS China Automotive Systems Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+30) We do not exclude cash that the c

Performance Sports Group Ltd. Ordinary Shares (Canada) Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 04:25:02 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 Performance Sports Group Ltd. Ordinary Shares (Canada): We estimate the credit risk parameters by Armstrong Oscillator and Multiple Regression Credit Ratings for Performance Sports Group Ltd. Ordinary Shares (

NSE:ZOTA Stock Forecast Outlook:Negative by Simple Moving Average (SMA) with Linear Regression

The stock price realization for NSE:ZOTA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Simple Moving Average (SMA) and Linear Regression. Machine Learning based stock forecast (n+6m) for ZOTA Zota Health Care LImited as below: ZOTA Zota Health Care LImited Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+6m) In this scenar

LUFTHANSA AG VNA O.N. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 03:55:03 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 LUFTHANSA AG VNA O.N.: We estimate the credit risk parameters by Accumulation Distribution Line and Sign Test Credit Ratings for LUFTHANSA AG VNA O.N. as of 20 Oct 2021 Credit Rating Short-Term

NSE:JAMNAAUTO Stock Forecast Outlook:Negative by Pearson-Anson Oscillators with Stepwise Regression

The stock price realization for NSE:JAMNAAUTO 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 Stepwise Regression. Machine Learning based stock forecast (n+30) for JAMNAAUTO Jamna Auto Industries Limited as below: JAMNAAUTO Jamna Auto Industries Limited Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021

Hurco Companies, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 03:25:02 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 Hurco Companies, Inc.: We estimate the credit risk parameters by Tri-tet Oscillators and Sign Test Credit Ratings for Hurco Companies, Inc. as of 20 Oct 2021 Credit Rating Short-Term Long-Term

NSE:THERMAX Stock Forecast Outlook:Negative by Pearson-Anson Oscillators with Polynomial Regression

The stock price realization for NSE:THERMAX 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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for THERMAX Thermax Limited as below: THERMAX Thermax Limited Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+3m) Under times of stress

Rockcastle Bancorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Rockcastle Bancorp: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Logistic Regression Credit Ratings for Rockcastle Bancorp as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 81 80 Financial Signals 37 78 Risk Signals 55 73 Substantial Risks 38 58 Speculative Signals 74 55 *Machine Learning utilizes multiple learning algorithms to obtain better pr

NASDAQ:GOOGL Stock Forecast by Heikin-Ashi with Polynomial Regression

The stock price realization for NASDAQ:GOOGL 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 Heikin-Ashi and Polynomial Regression. Machine Learning based stock forecast (n+1y) for GOOGL Alphabet Inc. as below: GOOGL Alphabet Inc. Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+1y) Additionally, we exclude revolver borrowin

THE WAYNE BANK AND TRUST COMPANY Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 02:25:02 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 THE WAYNE BANK AND TRUST COMPANY: We estimate the credit risk parameters by Aroon and ANOVA Credit Ratings for THE WAYNE BANK AND TRUST COMPANY as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 67 53 Financial Signals 64 54 Risk Signals 77 56 Substantial Risks 64 75 Speculative Signals 86 83 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results

NYSE:MATX Stock Forecast by On Balance Volume (OBV) with Ridge Regression

The stock price realization for NYSE:MATX is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with On Balance Volume (OBV) and Ridge Regression. Machine Learning based stock forecast (n+3m) for MATX Matson as below: MATX Matson Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+3m) We do not assume future debt refinancing or the rollin

LITE-ON TECHNOLOGY CORPORATION Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. Rating Model for LITE-ON TECHNOLOGY CORPORATION: We estimate the credit risk parameters by Relative Strength Index (RSI) and Pearson Correlation Credit Ratings for LITE-ON TECHNOLOGY CORPORATION as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 61 55 Financial Signals 51 83 Risk Signals 57 32 Substantial Risks 50 43 Speculative Signals 80 54 *Machine Learning utilizes multi

NYSE:VPV Stock Forecast by Average True Range (ATR) with Independent T-Test

The stock price realization for NYSE:VPV 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 Independent T-Test. Machine Learning based stock forecast (n+30) for VPV Invesco Pennsylvania Value Municipal Income Trust as below: VPV Invesco Pennsylvania Value Municipal Income Trust Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to for

Sanwa Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 01:25:03 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 Sanwa Co Ltd: We estimate the credit risk parameters by Directional Movement Indicator and Paired T-Test Credit Ratings for Sanwa Co Ltd as of 20 Oct 2021 Credit Rating Short-Term

NSE:HBSL Stock Forecast by Tri-tet Oscillators with Chi-Square

The stock price realization for NSE:HBSL 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 Chi-Square. Machine Learning based stock forecast (n+30) for HBSL HB Stockholdings Limited as below: HBSL HB Stockholdings Limited Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+30) For example, if a company inc

Lower Colorado River Authority Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a shorter time horizon. Rating Model for Lower Colorado River Authority: We estimate the credit risk parameters by Williams %R and Independent T-Test Credit Ratings for Lower Colorado River Authority as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 67 82 Financial Signals 36 83 Risk Signals 45 66 Substantial Risks 48 84 Speculative Signals 82 87 *Machine Learning utilizes multiple learning

NYSE:SPG Stock Forecast Outlook:Negative by Profit with Pearson Correlation

The stock price realization for NYSE:SPG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Profit and Pearson Correlation. Machine Learning based stock forecast (n+3m) for SPG Simon Property Group as below: SPG Simon Property Group Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+3m) If we believe a company would use cash trap

NYSE:MPV Stock Forecast by Bollinger Bands with Lasso Regression

The stock price realization for NYSE:MPV 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 Lasso Regression. Machine Learning based stock forecast (n+1y) for MPV Babson Capital Participation Investors as below: MPV Babson Capital Participation Investors Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+1y) G

NYSE:RST Stock Forecast by Anomaly with Chi-Square

The stock price realization for NYSE:RST is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Anomaly and Chi-Square. Machine Learning based stock forecast (n+1y) for RST Rosetta Stone Rosetta Stone as below: RST Rosetta Stone Rosetta Stone Stock Forecast (Buy or Sell) as of 20 Oct 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 20 Oct 2021 for (n+1y) Shared facilities with captive financ

Swiss Bank Corporation, New York Branch Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Wed Oct 20 2021 00:25:03 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 Swiss Bank Corporation, New York Branch: We estimate the credit risk parameters by Aroon and Polynomial Regression Credit Ratings for Swiss Bank Corporation, New York Branch as of 20 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 78 43 Financial Signals 52 84 Risk Signals 50 36 Substantial Risks 30 55 Speculative Signals 37 80 *Machine Learning utilizes multiple learning algorithms to obtain b

NASDAQ:GPAQ Stock Forecast by Adaptive Moving Average with ElasticNet Regression

The stock price realization for NASDAQ:GPAQ 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 Adaptive Moving Average and ElasticNet Regression. Machine Learning based stock forecast (n+7) for GPAQ Gordon Pointe Acquisition Corp. as below: GPAQ Gordon Pointe Acquisition Corp. Stock Forecast (Buy or Sell) as of 19 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 19 Oct 2021 for (n+7)

Godrej Agrovet Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Oct 19 2021 23:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for Godrej Agrovet Limited: We estimate the credit risk parameters by Bollinger Bands %B and Independent T-Test Credit Ratings for Godrej Agrovet Limited as of 19 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 51 46 Financial Signals 85 63 Risk Signals 41 73 Substantial Risks 52 69 Speculative Signals 86 51 *Machine Learning utilizes multiple learning algorithms to obtain better predictive