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Showing posts from October 28, 2021

iShares MSCI Emerging Markets Latin America Index Fund Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 10:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for iShares MSCI Emerging Markets Latin America Index Fund: We estimate the credit risk parameters by Rating and Paired T-Test Credit Ratings for iShares MSCI Emerging Markets Latin America Index Fund as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B2 Semantic Signals 77 90 Financial Signals 83 36 Risk Signals 40 37 Substantial Risks 89 32 Speculative Signals 60 79 *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 Netwo

NYSE:VNO Stock Forecast by Royer Oscillators with Polynomial Regression

The stock price realization for NYSE:VNO 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 Royer Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+30) for VNO Vornado Realty Trust as below: VNO Vornado Realty Trust Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+30) When determining the cash to b

Northwest Indiana Bancorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for Northwest Indiana Bancorp: We estimate the credit risk parameters by Relative Strength Index (RSI) and Sign Test Credit Ratings for Northwest Indiana Bancorp as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 49 85 Financial Signals 53 50 Risk Signals 55 57 Substantial Risks 80 76 Speculative Signals 73 74 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research,

NYSE:AT Stock Forecast by Crystal Oscillators with Multiple Regression

The stock price realization for NYSE:AT 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 Multiple Regression. Machine Learning based stock forecast (n+30) for AT Atlantic Power Corporation Ordinary Shares (Canada) as below: AT Atlantic Power Corporation Ordinary Shares (Canada) Stock Forecast (Buy or Sell) as of 29 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 foreca

NN, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 09:55:02 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 NN, Inc.: We estimate the credit risk parameters by Delay-Line Oscillators and Lasso Regression Credit Ratings for NN, Inc. as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 64 39 Financial Signals 76 78 Risk Signals 64 69 Substantial Risks 56 64 Speculative Signals 31 64 *Machine Learning utilizes multiple learning algorithms to obtain better predictive p

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

The stock price realization for NASDAQ:DSWL 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 DSWL Deswell Industries as below: DSWL Deswell Industries Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+6m) We do

Duravant LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 09:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for Duravant LLC: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and Wilcoxon Sign-Rank Test Credit Ratings for Duravant LLC as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 33 69 Financial Signals 72 89 Risk Signals 49 71 Substantial Risks 88 49 Speculative Signals 87 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 and Support Vector Machines.

LON:BUT Stock Forecast by Running Moving Average (RMA) with Spearman Correlation

The stock price realization for LON:BUT 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 Running Moving Average (RMA) and Spearman Correlation. Machine Learning based stock forecast (n+15) for BUT BRUNNER INV TST PLC as below: BUT BRUNNER INV TST PLC Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+15) To assess forecasted wo

NORTH EASTON SAVINGS BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 08:55:03 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 NORTH EASTON SAVINGS BANK: We estimate the credit risk parameters by Psychological Line (PSY) and ElasticNet Regression Credit Ratings for NORTH EASTON SAVINGS BANK as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba2 Semantic Signals 45 61 Financial Signals 89 39 Risk Signals 59 89 Substantial Risks 69 73 Speculative Signals 88 75 *

NASDAQ:FDBC Stock Forecast by Delay-Line Oscillators with Spearman Correlation

The stock price realization for NASDAQ:FDBC 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 Spearman Correlation. Machine Learning based stock forecast (n+3m) for FDBC Fidelity D & D Bancorp as below: FDBC Fidelity D & D Bancorp Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+3m) Likewise,

Central Banc Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 08:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Central Banc Inc.: We estimate the credit risk parameters by Momentum and Factor Credit Ratings for Central Banc Inc. as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 52 41 Financial Signals 89 89 Risk Signals 35 36 Substantial Risks 52 87 Speculative Signals 82 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

LON:EMH Stock Forecast by On Balance Volume (OBV) with Multiple Regression

The stock price realization for LON:EMH is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with On Balance Volume (OBV) and Multiple Regression. Machine Learning based stock forecast (n+3m) for EMH EUROPEAN METALS HOLDINGS LIMITED as below: EMH EUROPEAN METALS HOLDINGS LIMITED Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+3m) For

Nissan Motor Acceptance Corp. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 07:55:02 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 Nissan Motor Acceptance Corp.: We estimate the credit risk parameters by On Balance Volume (OBV) and Spearman Correlation Credit Ratings for Nissan Motor Acceptance Corp. as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 78 74 Financial Signa

NASDAQ:OVBC Stock Forecast by Trend with Linear Regression

The stock price realization for NASDAQ:OVBC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Trend and Linear Regression. Machine Learning based stock forecast (n+7) for OVBC Ohio Valley Banc Corp. as below: OVBC Ohio Valley Banc Corp. Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+7) For these reasons, although the criteria

Haima Automobile Group Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 07:25:03 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 Haima Automobile Group Co Ltd: We estimate the credit risk parameters by Aroon and Paired T-Test Credit Ratings for Haima Automobile Group Co Ltd as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 53 36 Financial Signals 53 62 Risk Signals 41 34 Substantial Risks 72 44 Speculative Signals 86 79 *Machine Learning util

LON:IOM Stock Forecast by Rate of Change (ROC) with Beta

The stock price realization for LON:IOM is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Beta. Machine Learning based stock forecast (n+1y) for IOM IOMART GROUP PLC as below: IOM IOMART GROUP PLC Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+1y) Given the earnings volatility companies experience, w

Hoosier Heartland State Bancorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 06:55:02 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 Hoosier Heartland State Bancorp: We estimate the credit risk parameters by Volume and Linear Regression Credit Ratings for Hoosier Heartland State Bancorp as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 44 42 Financial Signals 58 85 Risk Signals 47 49 Substantial Risks 79 56 Speculative Signals 80 62 *Machine Learning utilizes mult

NSE:AURIONPRO Stock Forecast by Robinson Oscillators with Sign Test

The stock price realization for NSE:AURIONPRO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Robinson Oscillators and Sign Test. Machine Learning based stock forecast (n+30) for AURIONPRO Aurionpro Solutions Limited as below: AURIONPRO Aurionpro Solutions Limited Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+30) In deter

Jiangyin Chengxing Industrial Group Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through our assumption of peak CP amount. Rating Model for Jiangyin Chengxing Industrial Group: We estimate the credit risk parameters by Stochastic Oscillator and Lasso Regression Credit Ratings for Jiangyin Chengxing Industrial Group as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 61 64 Financial Signals 30 42 Risk Signals 53 55 Substantial Risks 87 56 Speculative Signals 64 3

NYSE:EAB Stock Forecast by RC Phase Shift Oscillator with Spearman Correlation

The stock price realization for NYSE:EAB is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with RC Phase Shift Oscillator and Spearman Correlation. Machine Learning based stock forecast (n+1y) for EAB Entergy Arkansas as below: EAB Entergy Arkansas Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+1y) If we believe a company would u

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

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 05:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for ALFALFA COUNTY BANCSHARES, INC.: We estimate the credit risk parameters by Royer Oscillators and Spearman Correlation Credit Ratings for ALFALFA COUNTY BANCSHARES, INC. as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 69 66 Financial Signals 58 55 Risk Signals 59 34 Substantial Risks 75 87 Speculative Signals 66 68 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machi

NASDAQ:TC Stock Forecast by Momentum with Independent T-Test

The stock price realization for NASDAQ:TC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Momentum and Independent T-Test. Machine Learning based stock forecast (n+6m) for TC TuanChe Limited as below: TC TuanChe Limited Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+6m) If, for example, a facility matured in 18 months, we

Gateway First Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for Gateway First Bank: We estimate the credit risk parameters by Running Moving Average (RMA) and Polynomial Regression Credit Ratings for Gateway Firs

NASDAQ:ICLK Stock Forecast Outlook:Negative by Price with Linear Regression

The stock price realization for NASDAQ:ICLK 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 and Linear Regression. Machine Learning based stock forecast (n+1y) for ICLK iClick Interactive Asia Group Limited as below: ICLK iClick Interactive Asia Group Limited Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+1y) Other f

NASPERS LIMITED Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for NASPERS LIMITED: We estimate the credit risk parameters by Momentum and Sign Test Credit Ratings for NASPERS LIMITED as of 29 Oct 2021 Credi

NSE:TEAMLEASE Stock Forecast Outlook:Negative by Tri-tet Oscillators with Polynomial Regression

The stock price realization for NSE:TEAMLEASE 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 Polynomial Regression. Machine Learning based stock forecast (n+6m) for TEAMLEASE Teamlease Services Limited as below: TEAMLEASE Teamlease Services Limited Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+6m)

Graham Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 04:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for Graham Corporation: We estimate the credit risk parameters by On Balance Volume (OBV) and Factor Credit Ratings for Graham Corporation as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senio

LON:SQN Stock Forecast by Price Channels with Sign Test

The stock price realization for LON:SQN 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 Sign Test. Machine Learning based stock forecast (n+30) for SQN SQN ASSET FINANCE INCOME FUND LTD as below: SQN SQN ASSET FINANCE INCOME FUND LTD Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+30) We believe that when

HIGHLAND STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for HIGHLAND STATE BANK: We estimate the credit risk parameters by Adaptive Moving Average and ElasticNet Regression Credit Ratings for HIGHLAND STATE BANK as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba3 Semantic Signals 72 42 Financial Signals 83 74 Risk Signals 85 77 Substantial Risks 83 40 Speculative Signals 41 8

NASDAQ:MLHR Stock Forecast by Heikin-Ashi with Simple Regression

The stock price realization for NASDAQ:MLHR 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 Simple Regression. Machine Learning based stock forecast (n+30) for MLHR Herman Miller as below: MLHR Herman Miller Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+30) Our view of a company's financial policy is a

Jiangsu Lihua Animal Husbandry Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 03:25:02 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 Jiangsu Lihua Animal Husbandry Co Ltd: We estimate the credit risk parameters by Bollinger Bands Width and Linear Regression Credit Ratings for Jiangsu Lihua Animal Husbandry Co Ltd as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B1 Semantic Signals 52 41 Financial Signals 49 53 Risk Signals 43 75 Substantial Risks 54 64 Speculative Signals 30 49 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machi

NSE:NEOGEN Stock Forecast Outlook:Negative by Commodity Channel Index with Beta

The stock price realization for NSE:NEOGEN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Commodity Channel Index and Beta. Machine Learning based stock forecast (n+1y) for NEOGEN Neogen Chemicals Limited as below: NEOGEN Neogen Chemicals Limited Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+1y) While we only include con

United PF Holdings, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. Rating Model for United PF Holdings, LLC: We estimate the credit risk parameters by Chaikin Money Flow and Linear Regression Credit Ratings for United PF Holdings, LLC as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 54 56 Financial Signals 65 60 Risk Si

NYSE:GPC Stock Forecast by Anomaly with Sign Test

The stock price realization for NYSE:GPC 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 Sign Test. Machine Learning based stock forecast (n+1y) for GPC Genuine Parts Company as below: GPC Genuine Parts Company Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+1y) When assessing strong or exceptional liquidity, we

INDEPENDENT BANKERS FINANCIAL CORPORATION Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 02:25:02 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 INDEPENDENT BANKERS FINANCIAL CORPORATION: We estimate the credit risk parameters by Volume + Moving Average and Paired T-Test Credit Ratings for INDEPENDENT BANKERS FINANCIAL CORPORATION as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 50 30 Financial Signals 66 57 Risk Signals 41 83 Substantial Risks 49 68 Speculative Signals 39 61 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize m

LON:BDEV Stock Forecast Outlook:Negative by Money Flow Index (MFI) with Pearson Correlation

The stock price realization for LON:BDEV is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Money Flow Index (MFI) and Pearson Correlation. Machine Learning based stock forecast (n+3m) for BDEV BARRATT DEVELOPMENTS PLC as below: BDEV BARRATT DEVELOPMENTS PLC Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+3m) In determining ho

Red Phase INC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 01:55:03 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 Red Phase INC: We estimate the credit risk parameters by Dynatron Oscillators and Sign Test Credit Ratings for Red Phase INC as of 29 Oct 2021 Cre

NASDAQ:HUGE Stock Forecast by Psychological Line (PSY) with Polynomial Regression

The stock price realization for NASDAQ:HUGE 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 Psychological Line (PSY) and Polynomial Regression. Machine Learning based stock forecast (n+6m) for HUGE FSD Pharma Inc. as below: HUGE FSD Pharma Inc. Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+6m) Additionally, we exclude rev

The Furukawa Battery Co.,Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 01:25:03 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 The Furukawa Battery Co.,Ltd.: We estimate the credit risk parameters by Accumulation Distribution Line and Lasso Regression Credit Ratings for The Furukawa Battery Co.,Ltd. as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Semantic Signals 41

NYSE:TSQ Stock Forecast by Williams %R with Wilcoxon Sign-Rank Test

The stock price realization for NYSE:TSQ is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Williams %R and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+15) for TSQ Townsquare Media as below: TSQ Townsquare Media Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+15) We do not include potential future debt is

OCONOMOWOC BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 00:55:03 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 OCONOMOWOC BANCSHARES, INC.: We estimate the credit risk parameters by Armstrong Oscillator and Beta Credit Ratings for OCONOMOWOC BANCSHARES, INC. as of 29 Oct 2

NASDAQ:SMMT Stock Forecast by Trend with Multiple Regression

The stock price realization for NASDAQ:SMMT is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Trend and Multiple Regression. Machine Learning based stock forecast (n+3m) for SMMT Summit Therapeutics plc as below: SMMT Summit Therapeutics plc Stock Forecast (Buy or Sell) as of 29 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: 29 Oct 2021 for (n+3m) To assess an issuer's standin

PLANTERS BANK INC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 29 2021 00:25:05 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for PLANTERS BANK INC: We estimate the credit risk parameters by Anomaly and Logistic Regression Credit Ratings for PLANTERS BANK INC as of 29 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 44 69 Financial Signals 71 75 Risk Signals 36 54 Substantial Risks 70 45 Speculative Signals 81 36 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.

NASDAQ:DLTH Stock Forecast by Cross-Coupled Oscillators with Lasso Regression

The stock price realization for NASDAQ:DLTH is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Cross-Coupled Oscillators and Lasso Regression. Machine Learning based stock forecast (n+30) for DLTH Duluth Holdings Inc. as below: DLTH Duluth Holdings Inc. Stock Forecast (Buy or Sell) as of 28 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: 28 Oct 2021 for (n+30) Likewise, we do not co

Merrill Lynch Preferred Capital Trust IV Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Oct 28 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Rating Model for Merrill Lynch Preferred Capital Trust IV: We estimate the credit risk parameters by Delay-Line Oscillators and Spearman Correlation Credit Ratings for Merrill Lynch Preferred Capital Trust IV as of 28 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 43 55 Financial Signals 52 32 Risk Signa

LON:STVG Stock Forecast Outlook:Negative by Armstrong Oscillator with Beta

The stock price realization for LON:STVG 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 Armstrong Oscillator and Beta. Machine Learning based stock forecast (n+30) for STVG STV GROUP PLC as below: STVG STV GROUP PLC Stock Forecast (Buy or Sell) as of 28 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: 28 Oct 2021 for (n+30) When calculating sources of liquidity, we only include t

Volkswagen Group of America, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Oct 28 2021 23:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for Volkswagen Group of America, Inc.: We estimate the credit risk parameters by Speculation and Pearson Correlation Credit Ratings for Volkswagen Group of America, Inc. as of 28 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating

NSE:INDIAGLYCO Stock Forecast Outlook:Negative by RRS with Factor

The stock price realization for NSE:INDIAGLYCO 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 RRS and Factor. Machine Learning based stock forecast (n+6m) for INDIAGLYCO India Glycols Limited as below: INDIAGLYCO India Glycols Limited Stock Forecast (Buy or Sell) as of 28 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: 28 Oct 2021 for (n+6m) To assess forecasted working capital