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Showing posts from August 9, 2021

NYSE:ZNH Stock Forecast by RC Phase Shift Oscillator with Factor

The stock price realization for NYSE:ZNH 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 Factor. Machine Learning based stock forecast (n+7) for ZNH China Southern Airlines Company Limited as below: ZNH China Southern Airlines Company Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) La

IAC/InterActiveCorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for IAC/InterActiveCorp: We estimate the credit risk parameters by Envelope (ENV) and Linear Regression Credit Ratings for IAC/InterActiveCorp as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 90 34 Financial Signals 77 71 Risk Signals 33 41 Substantial Risks 62 51 Speculative Signals 70 64 *Machine Learning utilizes multiple learning algor

NSE:MEGASOFT Stock Forecast Outlook:Negative by Exponential Moving Average (EMA) with Pearson Correlation

The stock price realization for NSE:MEGASOFT 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 Pearson Correlation. Machine Learning based stock forecast (n+1y) for MEGASOFT Megasoft Limited as below: MEGASOFT Megasoft Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+1y) For excepti

Nature Home Holding Company Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 10:25:03 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 Nature Home Holding Company Ltd: We estimate the credit risk parameters by Running Moving Average (RMA) and Wilcoxon Rank-Sum Test Credit Ratings for Nature Home Holding Company Ltd as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 49 52 Financial Signals 45 60 Risk Signals 37 82 Substantial Risks 77 64 Speculative Signals 54 43 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize mach

NYSE:MOV Stock Forecast Outlook:Negative by Price with Wilcoxon Sign-Rank Test

The stock price realization for NYSE:MOV 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+1y) for MOV Movado Group Inc. as below: MOV Movado Group Inc. Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+1y) For companies in more volatile sectors, we ass

NaturalShrimp Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 09:55:02 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 NaturalShrimp Inc: We estimate the credit risk parameters by Voltage Controlled Oscillator and Stepwise Regression Credit Ratings for NaturalShrimp Inc as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 35 50 Financial Signals 49 31 Risk Signals 80 53 Substantial Risks 84 84 Speculative Signals 86 64 *Machine Learning utilizes multiple learning algorithms

NASDAQ:HMNF Stock Forecast by Pierce Oscillators with Linear 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 Pierce Oscillators and Linear Regression. Machine Learning based stock forecast (n+15) for HMNF HMN Financial as below: HMNF HMN Financial Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+15) Other factors we consider include a compan

Talisman Energy Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 09:25:03 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 Talisman Energy Inc. Common Stock: We estimate the credit risk parameters by Rate of Change (ROC) and Wilcoxon Sign-Rank Test Credit Ratings for Talisman Energy Inc. Common Stock as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 52 44 Financial Signals 48 46 Risk Signals 42 38 Substantial Risks 57 71 Speculative Signals 84 45 *Machine Learning utilizes multiple learning algorithms

NASDAQ:ESGRO Stock Forecast by Electron Coupled Oscillators with ElasticNet Regression

The stock price realization for NASDAQ:ESGRO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Electron Coupled Oscillators and ElasticNet Regression. Machine Learning based stock forecast (n+7) for ESGRO Enstar Group Limited as below: ESGRO Enstar Group Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) Given the earn

Odyssey Marine Exploration Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 08:55:02 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 Odyssey Marine Exploration Inc: We estimate the credit risk parameters by Sustainability and Beta Credit Ratings for Odyssey Marine Exploration Inc as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 38 51 Financial Signals 74 82 Risk Signals 41 49 Substantial Risks 48 43 Speculative Signals 59 68 *Machine Learning utilizes multiple learning algorithms to o

LON:NBLS Stock Forecast by Opto-Electronic Oscillators with Simple Regression

The stock price realization for LON:NBLS 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+3m) for NBLS NB GLOBAL FLOATING RATE INCOME FD as below: NBLS NB GLOBAL FLOATING RATE INCOME FD Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+

The Cincinnati Indemnity Company Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 08:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for The Cincinnati Indemnity Company: We estimate the credit risk parameters by Commodity Channel Index and Ridge Regression Credit Ratings for The Cincinnati Indemnity Company as of 10 Aug 2021

NSE:MOHITIND Stock Forecast Outlook:Negative by Anomaly with Simple Regression

The stock price realization for NSE:MOHITIND 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 Simple Regression. Machine Learning based stock forecast (n+7) for MOHITIND Mohit Industries Limited as below: MOHITIND Mohit Industries Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) Under times of stress, su

Forsyth Bancshares, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 07:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For companies in more volatile sectors, we assess the resiliency of liquidity through a cycle. If we do not believe the resulting descriptor reflects sustainable liquidity characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. Rating Model for Forsyth Bancshares, Inc.: We estimate the credit risk parameters by Hartley Oscillator and Independent T-Test Credit Ratings for Forsyth Bancshares, Inc. as of 10 Aug 2021 Credit Rati

NYSE:DLPH Stock Forecast by On Balance Volume (OBV) with Sign Test

The stock price realization for NYSE:DLPH 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 Sign Test. Machine Learning based stock forecast (n+30) for DLPH Delphi Automotive plc Ordinary Shares as below: DLPH Delphi Automotive plc Ordinary Shares Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+30)

PRUDENTIAL PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 07:25:03 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 PRUDENTIAL PLC: We estimate the credit risk parameters by Armstrong Oscillator and Simple Regression Credit Ratings for PRUDENTIAL PLC as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Baa2 Semantic Signals 57 90 Financial Signals 88 47 Risk Signals 90 82

NASDAQ:PFBI Stock Forecast by Ratiocator (RAT) with Linear Regression

The stock price realization for NASDAQ:PFBI 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 Linear Regression. Machine Learning based stock forecast (n+7) for PFBI Premier Financial Bancorp as below: PFBI Premier Financial Bancorp Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) While we only include c

ABB Ltd Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for ABB Ltd Common Stock: We estimate the credit risk parameters by FS and Wilcoxon Sign-Rank Test Credit Ratings for ABB Ltd Common Stock as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2

NSE:ARCHIES Stock Forecast Outlook:Negative by Anomaly with Wilcoxon Sign-Rank Test

The stock price realization for NSE:ARCHIES 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for ARCHIES Archies Limited as below: ARCHIES Archies Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) We do not treat repayments of leases as

ATKINS SAVINGS BANK&TRUST Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for ATKINS SAVINGS BANK&TRUST: We estimate the credit risk parameters by Stochastic Oscillator and Linear Regression Credit Ratings for ATKINS SAVINGS BANK&TRUST as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 45 51 Financial Signals 45 83 Risk Signals 58 46 Substantial Risks 78 63 Speculative Signals 85 58 *M

NASDAQ:AY Stock Forecast by Tuned Collector Oscillator with Ridge Regression

The stock price realization for NASDAQ:AY is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Tuned Collector Oscillator and Ridge Regression. Machine Learning based stock forecast (n+7) for AY Atlantica Yield plc as below: AY Atlantica Yield plc Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+7) Given that it can be difficult t

FirstSun Capital Bancorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for FirstSun Capital Bancorp: We estimate the credit risk parameters by Commodity Channel Index and Stepwise Regression Credit Ratings for FirstSun Capital Bancorp as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B2 Semantic Signals 70 39 Financial Signals 90 45 Risk Signals 62 75 Substantial Risks 54 40 Speculative Signals 79 63 *Machine Learning utilizes multiple learning algorithms to obtain be

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

The stock price realization for NASDAQ:SDG is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Tuned Collector Oscillator and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for SDG iShares MSCI Global Impact ETF as below: SDG iShares MSCI Global Impact ETF Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+15

Citigroup Inc. Dep Shs Repstg 1/1000th Pfd Ser AA Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 05:25:02 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 Citigroup Inc. Dep Shs Repstg 1/1000th Pfd Ser AA: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Factor Credit Ratings for Citigroup Inc. Dep Shs Repstg 1/1000th Pfd Ser AA as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B3 Sem

NASDAQ:PULM Stock Forecast Outlook:Negative by Opto-Electronic Oscillators with Linear Regression

The stock price realization for NASDAQ:PULM 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 Linear Regression. Machine Learning based stock forecast (n+3m) for PULM Pulmatrix as below: PULM Pulmatrix Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+3m) Our liquidity uses include dividends and

Smith-Midland Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for Smith-Midland Corporation: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Wilcoxon Sign-Rank Test Credit Ratings for Smith-Midland Corporation as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 87 88 Finan

NSE:TNPETRO Stock Forecast Outlook:Negative by Tri-tet Oscillators with Wilcoxon Rank-Sum Test

The stock price realization for NSE:TNPETRO 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+1y) for TNPETRO Tamilnadu PetroProducts Limited as below: TNPETRO Tamilnadu PetroProducts Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (

Huludao Zinc Industry Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 04:25:03 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 Huludao Zinc Industry Co., Ltd.: We estimate the credit risk parameters by Demand and Chi-Square Credit Ratings for Huludao Zinc Industry Co., Ltd. as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba1 Sem

NASDAQ:POWI Stock Forecast by Hartley Oscillator with Beta

The stock price realization for NASDAQ:POWI is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Hartley Oscillator and Beta. Machine Learning based stock forecast (n+30) for POWI Power Integrations as below: POWI Power Integrations Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+30) Additionally, we exclude revolver borrowing a

ST ANSGAR STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for ST ANSGAR STATE BANK: We estimate the credit risk parameters by Penetration and Lasso Regression Credit Ratings for ST ANSGAR STATE BANK as of 10 Aug 2021

NYSE:AN Stock Forecast by Adaptive Moving Average with Ridge Regression

The stock price realization for NYSE:AN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Adaptive Moving Average and Ridge Regression. Machine Learning based stock forecast (n+1y) for AN AutoNation as below: AN AutoNation Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+1y) When assessing strong or exceptional liquidity, we i

Global Self Storage Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for Global Self Storage Inc: We estimate the credit risk parameters by Hartley Oscillator and Wilcoxon Rank-Sum Test Credit Ratings for Global Self Storage Inc as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 71 85 Financial Signals 36

NASDAQ:DMRC Stock Forecast Outlook:Negative by FS with Sign Test

The stock price realization for NASDAQ:DMRC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with FS and Sign Test. Machine Learning based stock forecast (n+30) for DMRC Digimarc Corporation as below: DMRC Digimarc Corporation Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+30) In addition, a speculative-grade company's acces

SPIRITBANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 02:55:02 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 SPIRITBANK: We estimate the credit risk parameters by Trend and Ridge Regression Credit Ratings for SPIRITBANK as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 51 57 Financial Signals 89 77 Risk Signals 50 85 Substantial Risks 88 63 Speculative Signals 38 48 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize ma

NYSE:QTWO Stock Forecast Outlook:Negative by Trend with Stepwise Regression

The stock price realization for NYSE:QTWO 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 Stepwise Regression. Machine Learning based stock forecast (n+30) for QTWO Q2 Holdings as below: QTWO Q2 Holdings Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+30) For companies that engage in reverse factoring--where accou

Tunghsu Optoelectronic Technology Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 02:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Tunghsu Optoelectronic Technology Co Ltd: We estimate the credit risk parameters by Chaikin Money Flow and Sign Test Credit Ratings for Tunghsu Optoelectronic Technology Co Ltd as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 67 36 Financial Signals 32 36 Risk Signals 72 83 Substantial Risks 64 88 Speculative Signals 36 36 *Machine Lear

NASDAQ:ATLC Stock Forecast by Crystal Oscillators with Linear Regression

The stock price realization for NASDAQ:ATLC 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 Linear Regression. Machine Learning based stock forecast (n+6m) for ATLC Atlanticus Holdings Corporation as below: ATLC Atlanticus Holdings Corporation Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+6m) For t

BANK OF EUFAULA Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 01:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow. Rating Model for BANK OF EUFAULA: We estimate the credit risk parameters by Bollinger Bands Width and Factor Credit Ratings for BANK OF EUFAULA as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 45 59 Financial Signals 53 81 Risk Signals 76 50 Substantial Risks 52 30 Speculative Signals 77 30 *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 Mac

NYSE:CORR Stock Forecast Outlook:Negative by Price Channels with Stepwise Regression

The stock price realization for NYSE:CORR 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 Stepwise Regression. Machine Learning based stock forecast (n+3m) for CORR CorEnergy Infrastructure Trust as below: CORR CorEnergy Infrastructure Trust Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+3m) When calcula

Acasti Pharma, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 01:25:03 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 Acasti Pharma, Inc.: We estimate the credit risk parameters by Royer Oscillators and Beta Credit Ratings for Acasti Pharma, Inc. as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 75 65 Financial Signals 44 78 Risk Signals 59 47 Substantial Risks 75 47 Speculative Signals 56 63

NYSE:SCHW Stock Forecast by Volume with Wilcoxon Rank-Sum Test

The stock price realization for NYSE:SCHW is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Volume and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for SCHW Charles Schwab Corporation (The) as below: SCHW Charles Schwab Corporation (The) Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+3m) Given that we

Anchor Bancorp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 00:55:03 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 Anchor Bancorp: We estimate the credit risk parameters by EMR and ElasticNet Regression Credit Ratings for Anchor Bancorp as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Baa2 Semantic Signals 71 73 Financial Signals 53 65 Risk Signals 75 84 Substantial Risks 81 83 Speculative

NSE:SYNCOM Stock Forecast by Opto-Electronic Oscillators with Multiple Regression

The stock price realization for NSE:SYNCOM 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 Multiple Regression. Machine Learning based stock forecast (n+6m) for SYNCOM Syncom Healthcare Limited as below: SYNCOM Syncom Healthcare Limited Stock Forecast (Buy or Sell) as of 10 Aug 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 10 Aug 2021 for (n+6m) For

PEOPLES STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Tue Aug 10 2021 00:25:04 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 PEOPLES STATE BANK: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and ANOVA Credit Ratings for PEOPLES STATE BANK as of 10 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 75 67 Financial Signals 37 83 Risk Signals 67 55 Substantial Risks 46 47 Speculative Signals 66 34 *Machine Learning utilizes

NSE:ALPA Stock Forecast by Clapp Oscillators with Wilcoxon Rank-Sum Test

The stock price realization for NSE:ALPA 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 Clapp Oscillators and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+30) for ALPA Alpa Laboratories Limited as below: ALPA Alpa Laboratories Limited Stock Forecast (Buy or Sell) as of 09 Aug 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 09 Aug 2021 for (n+30) If a company has

HIGASHI TWENTY ONE CO.,LTD. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 09 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for HIGASHI TWENTY ONE CO.,LTD.: We estimate the credit risk parameters by Profit and Stepwise Regression Credit Ratings for HIGASHI TWENTY ONE CO.,LTD. as of 09 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 90 34 Financial Signals 56 89 Risk Signals 54 80 Substantial Risks 52 41 Speculative Signals 77 48 *Machine Learning utilizes multiple lear

NSE:HPL Stock Forecast Outlook:Negative by Ratiocator (RAT) with Simple Regression

The stock price realization for NSE:HPL 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 Simple Regression. Machine Learning based stock forecast (n+6m) for HPL HPL Electric & Power Limited as below: HPL HPL Electric & Power Limited Stock Forecast (Buy or Sell) as of 09 Aug 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 09 Aug 2021 for (n+6m) We do not in

Sempra Texas Intermediate Holding Company LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Aug 09 2021 23:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Sempra Texas Intermediate Holding Company LLC: We estimate the credit risk parameters by Volume + Moving Average and Lasso Regression Credit Ratings for Sempra Texas Intermediate Holding Company LLC as of 09 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 38 35 Financial Signals 74 82 Risk Signals 71 69 Substantial Risks 68 66 Speculative Signals 88 49 *Machine Learning utilizes multiple learn