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Showing posts from October 24, 2021

NASDAQ:APYX Stock Forecast by Armstrong Oscillator with Independent T-Test

The stock price realization for NASDAQ:APYX 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 Independent T-Test. Machine Learning based stock forecast (n+3m) for APYX Apyx Medical Corporation as below: APYX Apyx Medical Corporation Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+3m) For these reasons

Bioanalytical Systems, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 10:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Investments should be able to be quickly liquidated without requiring deep discounts to their carrying value. This does not preclude long-term investments from being included. It does, however, exclude large stakes in non-liquid equity investments. Rating Model for Bioanalytical Systems, Inc.: We estimate the credit risk parameters by RRS and Chi-Square Credit Ratings for Bioanalytical Systems, Inc. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 64 48 Financial Signals 90 38 Risk Signals 43 62 Substantial Risks 38 58 Speculative Signals 43 78 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the

NSE:CEREBRAINT Stock Forecast Outlook:Negative by Momentum with Pearson Correlation

The stock price realization for NSE:CEREBRAINT 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 Pearson Correlation. Machine Learning based stock forecast (n+3m) for CEREBRAINT Cerebra Integrated Technologies Limited as below: CEREBRAINT Cerebra Integrated Technologies Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct

Bank Of Nanjing Co.,Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. Rating Model for Bank Of Nanjing Co.,Ltd.: We estimate the credit risk parameters by Meissner Oscillators and Pearson Correlation Credit Ratings for Bank Of Nanjing Co.,Ltd. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 86 62 Financial Signals 83 87 Risk Signals 52 83 Substantial Risks 59 35 Speculative

NSE:AMRUTANJAN Stock Forecast by Modified (Smoothed) Moving Average with Logistic Regression

The stock price realization for NSE:AMRUTANJAN 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 Logistic Regression. Machine Learning based stock forecast (n+3m) for AMRUTANJAN Amrutanjan Health Care Limited as below: AMRUTANJAN Amrutanjan Health Care Limited Stock Forecast (Buy or Sell) as of 25 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

LF Capital Acquisition Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 09:55:02 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 LF Capital Acquisition Corp: We estimate the credit risk parameters by Meissner Oscillators and Paired T-Test Credit Ratings for LF Capital Acquisition Corp as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3

NASDAQ:SRCE Stock Forecast by Aroon with Polynomial Regression

The stock price realization for NASDAQ:SRCE 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 Polynomial Regression. Machine Learning based stock forecast (n+7) for SRCE 1st Source Corporation as below: SRCE 1st Source Corporation Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+7) The various qualitative factors in t

GX Acquisition Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 09:25:07 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 GX Acquisition Corp: We estimate the credit risk parameters by KDJ and Stepwise Regression Credit Ratings for GX Acquisition Corp as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 53 48 Financial Signals 78 35 Risk Signals 71 69 Substantial Risks 62 85 Speculative Signals 73 58 *Machine Learning utilizes multiple l

NYSE:DTQ Stock Forecast by EMR with ElasticNet Regression

The stock price realization for NYSE:DTQ is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with EMR and ElasticNet Regression. Machine Learning based stock forecast (n+15) for DTQ DTE Energy Company 2012 Series C 5.25% Junior Subordinate Debentures due December 1 as below: DTQ DTE Energy Company 2012 Series C 5.25% Junior Subordinate Debentures due December 1 Stock Forecast (Buy or Sell) as of 25 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 Rati

Orchid Island Capital Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 08:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for Orchid Island Capital Inc: We estimate the credit risk parameters by Opto-Electronic Oscillators and Chi-Square Credit Ratings for Orchid Island Capital Inc as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 34 79 Financial Signals 79 37 Risk Signals 70 43 Substantial Risks 55 55 Speculative Signals 75 81 *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:CCT Stock Forecast Outlook:Negative by Price Oscillator (PPO) with ElasticNet Regression

The stock price realization for LON:CCT is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Price Oscillator (PPO) and ElasticNet Regression. Machine Learning based stock forecast (n+3m) for CCT CHARACTER GROUP PLC as below: CCT CHARACTER GROUP PLC Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+3m) Additionally, we exclude rev

Swiss Helvetia Fund, Inc. (The) Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 08:25:03 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 Swiss Helvetia Fund, Inc. (The) Common Stock: We estimate the credit risk parameters by Electron Coupled Oscillators and Logistic Regression Credit Ratings for Swiss Helvetia Fund, Inc. (The) Common Stock as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 53 45 Financial Signals 60 80 Risk Signals 41 55 Substantial Risk

NASDAQ:ASML Stock Forecast by Ratiocator (RAT) with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:ASML 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 Ratiocator (RAT) and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+7) for ASML ASML Holding N.V. as below: ASML ASML Holding N.V. Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+7) The various qualitative factors in

LON:MDO Stock Forecast by Trend with Factor

The stock price realization for LON:MDO 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 Factor. Machine Learning based stock forecast (n+6m) for MDO MANDARIN ORIENTAL INTERNATIONAL as below: MDO MANDARIN ORIENTAL INTERNATIONAL Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+6m) We believe that when a company is vi

NSE:MANUGRAPH Stock Forecast Outlook:Negative by Delay-Line Oscillators with Multiple Regression

The stock price realization for NSE:MANUGRAPH 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 Multiple Regression. Machine Learning based stock forecast (n+30) for MANUGRAPH Manugraph India Limited as below: MANUGRAPH Manugraph India Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+30) In a

BRADFORD NATIONAL BANK OF GREENVILLE IL Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 07:55:03 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 BRADFORD NATIONAL BANK OF GREENVILLE IL: We estimate the credit risk parameters by Dynatron Oscillators and Ridge Regression Credit Ratings for BRADFORD NATIONAL BANK OF GREENVILLE IL as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Baa2 Semantic Signals 49 63 Financial Signals 85 87 Risk Signals 69

NASDAQ:ABCB Stock Forecast by OCL with Ridge Regression

The stock price realization for NASDAQ:ABCB 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 OCL and Ridge Regression. Machine Learning based stock forecast (n+3m) for ABCB Ameris Bancorp as below: ABCB Ameris Bancorp Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+3m) We do not exclude cash that the company needs to maintai

Tokai Tokyo Financial Holdings Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Tokai Tokyo Financial Holdings Inc: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Spearman Correlation Credit Ratings for Tokai Tokyo Financial Holdings Inc as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 43 56 Financial Signals 59 47 Risk Signals 33 54 Substantial Risks 43 69 Speculative Signals 64 56 *Machine Learning utilizes multiple lea

NSE:FEDERALBNK Stock Forecast by Aroon with Sign Test

The stock price realization for NSE:FEDERALBNK 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 Sign Test. Machine Learning based stock forecast (n+3m) for FEDERALBNK The Federal Bank Limited as below: FEDERALBNK The Federal Bank Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+3m) In these cases, the leve

Nakamoto Packs Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for Nakamoto Packs Co Ltd: We estimate the credit risk parameters by EMR and ElasticNet Regression Credit Ratings for Nakamoto Packs Co Ltd as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B3 Semantic Signals 56 59 Financial Signals 37 52 Risk Signals 89 39 Substantial Risks 72 37 Speculative Signals 60 53 *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:CHAL Stock Forecast by Ring Oscillators with Polynomial Regression

The stock price realization for LON:CHAL is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Ring Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+7) for CHAL CHALLENGER ACQUISITIONS LIMITED as below: CHAL CHALLENGER ACQUISITIONS LIMITED Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+7) In this sc

Fruit of the Loom Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 06:25:02 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 Fruit of the Loom Ltd.: We estimate the credit risk parameters by Armstrong Oscillator and Lasso Regression Credit Ratings for Fruit of the Loom Ltd. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 34 61 Financial Signals 70 86 Risk Signals 78 67 Substantial Risks 65 66 Speculative Signals 52 85 *Machine Learning utilizes multiple learning algorithms to obtain better predictive

NYSE:MPLX Stock Forecast by Price with Pearson Correlation

The stock price realization for NYSE:MPLX 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 Pearson Correlation. Machine Learning based stock forecast (n+15) for MPLX MPLX LP as below: MPLX MPLX LP Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+15) Additionally, we exclude revolver borrowing availability that we be

Globe Specialty Metals Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for Globe Specialty Metals Inc.: We estimate the credit risk parameters by Speculation and Stepwise Regression Credit Ratings for Globe Specialty Metals Inc. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 34 63 Financial Signals 75 32 Risk Signals 63 85 Substantial Risks 50 82 Speculative Signals 87 34 *Machine Learn

LON:HAN Stock Forecast Outlook:Negative by Simple Moving Average (SMA) with Chi-Square

The stock price realization for LON:HAN 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 Chi-Square. Machine Learning based stock forecast (n+1y) for HAN HANSA INVESTMENT COMPANY LIMITED as below: HAN HANSA INVESTMENT COMPANY LIMITED Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+1y) For exam

HOME SAVINGS BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 05:25:02 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 HOME SAVINGS BANK: We estimate the credit risk parameters by Delay-Line Oscillators and Independent T-Test Credit Ratings for HOME SAVINGS BANK as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 52 62 Financial Signals 70 70 Risk Signals 63 82 Substantial Risks 88 65 Speculative Signals 35 85 *Machine Learning utilizes multiple learning algorithms to

NASDAQ:HMNF Stock Forecast by Accumulation Distribution Line with Logistic Regression

The stock price realization for NASDAQ:HMNF 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 Accumulation Distribution Line and Logistic Regression. Machine Learning based stock forecast (n+6m) for HMNF HMN Financial as below: HMNF HMN Financial Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+6m) If, for example, a facility

American Water Works Company, Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 04:55:02 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 American Water Works Company, Inc. Common Stock: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Lasso Regression Credit Ratings for American Water Works Company, Inc. Common Stock as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba1 Sema

NSE:RANASUG Stock Forecast Outlook:Negative by Bollinger Bands Width with Spearman Correlation

The stock price realization for NSE:RANASUG 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 Width and Spearman Correlation. Machine Learning based stock forecast (n+30) for RANASUG Rana Sugars Limited as below: RANASUG Rana Sugars Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+30) In these cases, th

Metallurgical Corporation of China Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 04:25:02 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 Metallurgical Corporation of China Ltd.: We estimate the credit risk parameters by Dynatron Oscillators and Independent T-Test Credit Ratings for Me

NYSE:ARC Stock Forecast Outlook:Negative by Bollinger Bands %B with Wilcoxon Rank-Sum Test

The stock price realization for NYSE:ARC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands %B and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for ARC ARC Document Solutions as below: ARC ARC Document Solutions Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+1y) We believe that when a c

Hovnanian Enterprises, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 03:55:03 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 Hovnanian Enterprises, Inc.: We estimate the credit risk parameters by Penetration and Chi-Square Credit Ratings for Hovnanian Enterprises, Inc. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 89 76 Financial Signals 37 55 Risk Signals 39 75 Substantial Risks 75 88 Speculative Signals 86 63 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powe

NYSE:TPL Stock Forecast by Crystal Oscillators with Multiple Regression

The stock price realization for NYSE:TPL 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+6m) for TPL Texas Pacific Land Trust as below: TPL Texas Pacific Land Trust Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+6m) If a company has a cre

FNB Hartford Bancorp Incorporated Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 03:25:03 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 FNB Hartford Bancorp Incorporated: We estimate the credit risk parameters by Colpitts Oscillator and Lasso Regression Credit Ratings for FNB Hartford Bancorp Incorporated as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 47 75 Financial Signals 45 74 Risk Signals 36 49 Substantial Risks 90 82 Speculative Signals 85 4

NASDAQ:HYAC Stock Forecast by Opto-Electronic Oscillators with Simple Regression

The stock price realization for NASDAQ:HYAC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Opto-Electronic Oscillators and Simple Regression. Machine Learning based stock forecast (n+15) for HYAC Haymaker Acquisition Corp. II as below: HYAC Haymaker Acquisition Corp. II Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+15) S

Verus International Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 02:55:03 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 Verus International Inc: We estimate the credit risk parameters by Bollinger Bands Width and Polynomial Regression Credit Ratings for Verus International Inc as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 62 83 Financial Signals 37 65 Risk Signals 65 69 Su

NASDAQ:HSIC Stock Forecast by Cross-Coupled Oscillators with Linear Regression

The stock price realization for NASDAQ:HSIC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Cross-Coupled Oscillators and Linear Regression. Machine Learning based stock forecast (n+1y) for HSIC Henry Schein as below: HSIC Henry Schein Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+1y) While we only include contractual acq

Columbia Banking System, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 02:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for Columbia Banking System, Inc.: We estimate the credit risk parameters by Bollinger Bands and Beta Credit Ratings for Columbia Banking System, Inc. as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Baa2 Semantic Signals 46 39 Financial Signals 78 75 Risk Signals 89 85 Substantial Risks 90 72 Speculative Signals 51 90 *Machine Learning utilizes multiple learning algorithms to

NSE:INDIGO Stock Forecast Outlook:Negative by Momentum with Stepwise Regression

The stock price realization for NSE:INDIGO 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 Stepwise Regression. Machine Learning based stock forecast (n+1y) for INDIGO InterGlobe Aviation Limited as below: INDIGO InterGlobe Aviation Limited Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+1y) Shared facilities w

ELECOSOFT PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for ELECOSOFT PLC: We estimate the credit risk parameters by Anomaly and Simple Regression Credit Ratings for ELECOSOFT PLC as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 49 66 Financial Signals 85 30 Risk Signals 66 79 Substantial Risks 59 79 Speculative Signals 66 69 *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

NYSE:CAE Stock Forecast by Exponential Moving Average (EMA) with Wilcoxon Sign-Rank Test

The stock price realization for NYSE:CAE 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 Exponential Moving Average (EMA) and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for CAE CAE Inc. Ordinary Shares as below: CAE CAE Inc. Ordinary Shares Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+7) The vari

PECOS COUNTY STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 01:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for PECOS COUNTY STATE BANK: We estimate the credit risk parameters by Colpitts Oscillator and Beta Credit Ratings for PECOS COUNTY STATE BANK as of 25 Oct 2021

LON:HEMO Stock Forecast by Momentum with Logistic Regression

The stock price realization for LON:HEMO 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 Logistic Regression. Machine Learning based stock forecast (n+6m) for HEMO HEMOGENYX PHARMACEUTICALS PLC as below: HEMO HEMOGENYX PHARMACEUTICALS PLC Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+6m) While the existence o

CENTURY SAVINGS BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 00:55:02 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 CENTURY SAVINGS BANK: We estimate the credit risk parameters by Price Channels and Sign Test Credit Ratings for CENTURY SAVINGS BANK as of 25 Oct 2021 Cre

NASDAQ:RUSHA Stock Forecast by Trend with Paired T-Test

The stock price realization for NASDAQ:RUSHA 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 Paired T-Test. Machine Learning based stock forecast (n+30) for RUSHA Rush Enterprises as below: RUSHA Rush Enterprises Stock Forecast (Buy or Sell) as of 25 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: 25 Oct 2021 for (n+30) Given that we exclude proposed "best efforts&

Mississippi Power Co Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Oct 25 2021 00:25:03 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 Mississippi Power Co: We estimate the credit risk parameters by Simple Moving Average (SMA) and Wilcoxon Sign-Rank Test Credit Ratings for Mississippi Power Co as of 25 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class*

NSE:SHALPAINTS Stock Forecast Outlook:Negative by Meissner Oscillators with Simple Regression

The stock price realization for NSE:SHALPAINTS is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Meissner Oscillators and Simple Regression. Machine Learning based stock forecast (n+6m) for SHALPAINTS Shalimar Paints Limited as below: SHALPAINTS Shalimar Paints Limited Stock Forecast (Buy or Sell) as of 24 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: 24 Oct 2021 for (n+6m) Given