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NYSE:JPC Stock Forecast by Williams %R with Multiple Regression

The stock price realization for NYSE:JPC is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Williams %R and Multiple Regression. Machine Learning based stock forecast (n+6m) for JPC Nuveen Preferred Income Opportunities Fund as below: JPC Nuveen Preferred Income Opportunities Fund Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for

Shantui Construction Machinery Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. Rating Model for Shantui Construction Machinery Co., Ltd.: We estimate the credit risk parameters by Average True Range (ATR) and Paired T-Test Credit Ratings for Shantui Construction Machinery Co., Ltd. as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 30 74 Financial Signals 49 78 Risk Signals 70 76 Substantial Risks 76 64 Speculative Signals 70 78 *Machine Learning utilizes multiple learning

NASDAQ:ICLR Stock Forecast Outlook:Negative by EMR with Polynomial Regression

The stock price realization for NASDAQ:ICLR 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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for ICLR ICON plc as below: ICLR ICON plc Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) We do not treat repayments of leases as debt maturities (even i

Merck & Co., Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 10:25:03 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 Merck & Co., Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Simple Regression Credit Ratings for Merck & Co., Inc. as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Caa1 Semantic Signals 82 30 Financial Signals 33 31 Risk Signals 56 38 Substantial Risks 37 39 Speculative Signals 46 40 *Machine Learni

NYSE:VSH Stock Forecast by Delay-Line Oscillators with Multiple Regression

The stock price realization for NYSE:VSH 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+1y) for VSH Vishay Intertechnology as below: VSH Vishay Intertechnology Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+1y) If, for example, a faci

ILLINOIS HOLDING CO. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 09:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. Rating Model for ILLINOIS HOLDING CO.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Spearman Correlation Credit Ratings for ILLINOIS HOLDING CO. as of 01 Oct 2021 Credit Rating Short-Term

NYSE:ELS Stock Forecast Outlook:Negative by Volume with Lasso Regression

The stock price realization for NYSE:ELS 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 Lasso Regression. Machine Learning based stock forecast (n+15) for ELS Equity Lifestyle Properties as below: ELS Equity Lifestyle Properties Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+15) While the existence of a commerc

KKR Group Finance Co. III LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 09:25:02 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 KKR Group Finance Co. III LLC: We estimate the credit risk parameters by Trend and Independent T-Test Credit Ratings for KKR Group Finance Co. III LLC as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B3 Semantic Signals 64 49 Financial Signals 52 35 Risk Signals 68 37 Substantial Risks 37 33 Speculative Signals 50 58 *Machine Learning utilizes multiple learning algorithms to obtain better predictive

NSE:FMGOETZE Stock Forecast by Price with Multiple Regression

The stock price realization for NSE:FMGOETZE 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 Multiple Regression. Machine Learning based stock forecast (n+7) for FMGOETZE Federal-Mogul Goetze (India) Limited. as below: FMGOETZE Federal-Mogul Goetze (India) Limited. Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+7)

Anworth Mortgage Asset Corporation Series A Preferred Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 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 Anworth Mortgage Asset Corporation Series A Preferred Stock: We estimate the credit risk parameters by Commodity Channel Index and Sign Test Credit Ratings for Anworth Mortgage Asset Corporation Series A Preferred Stock as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba1 Semantic Signals 35 90 Financial Signals 40 73 Risk Signals 60 69 Substantial Risks 72 41 Speculative Signals 31 86 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the result

NASDAQ:TYHT Stock Forecast by Aroon with Factor

The stock price realization for NASDAQ:TYHT 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 Factor. Machine Learning based stock forecast (n+3m) for TYHT Shineco as below: TYHT Shineco Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) Under times of stress, such actions could include dividend cuts, suspension of

CLINTON BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 08:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In addition, a speculative-grade company's access to the credit markets during times of stress, such as the financial crisis, is often a function of the capital market's appetite for risk. Accordingly, it would be rare that we would characterize a speculative-grade company as having a generally high standing in the credit markets, and even low-investment-grade companies may not have access to a diversity of funding sources required for this assessment. Rating Model for CLINTON BANK: We estimate the credit risk parameters by Price Channels and Paired T-Test Credit Ratings for CLINTON BANK as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 70 57 Financial Signals 51 36 Risk Signals 44 66 Substantial Risks 52

NSE:GREENPOWER Stock Forecast #ERROR! by RC Phase Shift Oscillator with Wilcoxon Sign-Rank Test

The stock price realization for NSE:GREENPOWER 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for GREENPOWER Orient Green Power Company Limited as below: GREENPOWER Orient Green Power Company Limited Stock Forecast (Buy or Sell) as of 01 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 forecas

Valley National Bank Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 07:55:02 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 Valley National Bank: We estimate the credit risk parameters by Keltner Channels and Wilcoxon Sign-Rank Test Credit Ratings for Valley National Bank as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 85 30 Financial Signals 73 72 Risk Signals 43 86 Substantial Risks 50 45 Speculative Signals 51 89 *Machine Learning

LON:KDNC Stock Forecast Outlook:Negative by RC Phase Shift Oscillator with Sign Test

The stock price realization for LON:KDNC 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 Sign Test. Machine Learning based stock forecast (n+7) for KDNC CADENCE MINERALS PLC as below: KDNC CADENCE MINERALS PLC Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+7) In addition, a speculative-grade co

MISSISSIPPI RIVER BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for MISSISSIPPI RIVER BANK: We estimate the credit risk parameters by Speculation and Lasso Regression Credit Ratings for MISSISSIPPI RIVER BANK as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 33 63 Financial Signals 62 54 Risk Signals 78 85 Substantial Risks 72 58 Speculative Signals 57 39 *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.

NYSE:HCA Stock Forecast Outlook:Negative by Penetration with Spearman Correlation

The stock price realization for NYSE:HCA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Penetration and Spearman Correlation. Machine Learning based stock forecast (n+3m) for HCA HCA Holdings as below: HCA HCA Holdings Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) In this scenario, we would still include the existing

Roper Technologies Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 06:55:02 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 Roper Technologies Inc: We estimate the credit risk parameters by Price Oscillator (PPO) and Wilcoxon Sign-Rank Test Credit Ratings for Roper Technologies Inc as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 72 73 Financial Signals 48 53 Risk Signals 54 80 Substantial Risks 60 33 Speculative Signals 60 54 *Machine Learning utilizes mult

NASDAQ:TRST Stock Forecast Outlook:Negative by Aroon with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:TRST 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+3m) for TRST TrustCo Bank Corp NY as below: TRST TrustCo Bank Corp NY Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) For new issuers, while our ratings a

AMERICAN BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 06:25:03 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 AMERICAN BANK: We estimate the credit risk parameters by Bollinger Bands Width and Factor Credit Ratings for AMERICAN BANK as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 49 77 Financial Signals 40 83 Risk Signals 54 35 Substantial Risks 50 60 Speculative Signals 63 62 *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 Networ

NASDAQ:CODX Stock Forecast by Ring Oscillators with Logistic Regression

The stock price realization for NASDAQ:CODX 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 Logistic Regression. Machine Learning based stock forecast (n+3m) for CODX Co as below: CODX Co Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) Given that it can be difficult to identify outstanding CP at any

RAKE BANCORPORATION Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 05:55:02 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 RAKE BANCORPORATION: We estimate the credit risk parameters by Exponential Moving Average (EMA) and ElasticNet Regression Credit Ratings for RAKE BANCORPORATION as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Baa2 Semantic Signals 68 70 Financial Signals 31 63 Risk Signals 67 86 Substantial Risks 49 65 Speculative Signals 76 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.

NASDAQ:IBKCO Stock Forecast by Modified (Smoothed) Moving Average with ElasticNet Regression

The stock price realization for NASDAQ:IBKCO 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 ElasticNet Regression. Machine Learning based stock forecast (n+1y) for IBKCO IBERIABANK Corporation as below: IBKCO IBERIABANK Corporation Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+1y) I

WEST END FINANCIAL CORP. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 05:25:02 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 WEST END FINANCIAL CORP.: We estimate the credit risk parameters by Trend and ANOVA Credit Ratings for WEST END FINANCIAL CORP. as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 43 47 Financial Signals 37 50 Risk Signals 56 57 Substantial Risks 68 86 Speculative Signals 77 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.

NASDAQ:SNCR Stock Forecast Outlook:Negative by SMoothed Moving Average (SMMA) with Simple Regression

The stock price realization for NASDAQ:SNCR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with SMoothed Moving Average (SMMA) and Simple Regression. Machine Learning based stock forecast (n+1y) for SNCR Synchronoss Technologies as below: SNCR Synchronoss Technologies Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+1y) Our view

CORONA CORPORATION Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. Rating Model for CORONA CORPORATION: We estimate the credit risk parameters by Tuned Collector Oscillator and Spearman Correlation Credit Ratings for CORONA CORPORATION as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B2 Semantic Signals 85 70 Financial Signals 87 63 Risk Signals 55 42 Substantial Risks 66 39 Speculative Signals 64 45 *Machine Learning utilizes multiple learning algorithms t

NASDAQ:VTIQ Stock Forecast by Trend with Sign Test

The stock price realization for NASDAQ:VTIQ 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 Sign Test. Machine Learning based stock forecast (n+7) for VTIQ VectoIQ Acquisition Corp. as below: VTIQ VectoIQ Acquisition Corp. Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+7) For companies that engage in reverse facto

CITIZENS HOLDING CO Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 04:25:02 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 CITIZENS HOLDING CO: We estimate the credit risk parameters by Wien Bridge Oscillator and Linear Regression Credit Ratings for CITIZENS HOLDING CO as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 53 49 Financial Signals 47 52 Risk Signals 53 74 Substantial Risks 36 72 Speculative Signals 66 47 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In

NASDAQ:PDBC Stock Forecast by Cross-Coupled Oscillators with ANOVA

The stock price realization for NASDAQ:PDBC 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 ANOVA. Machine Learning based stock forecast (n+30) for PDBC Invesco Optimum Yield Diversified Commodity Strategy No K as below: PDBC Invesco Optimum Yield Diversified Commodity Strategy No K Stock Forecast (Buy or Sell) as of 01 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 seri

INSTONE REAL ESTATE GROUP AG Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 03:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume the debt will need to be repaid/refinanced on the day the put can be first exercised. Rating Model for INSTONE REAL ESTATE GROUP AG: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Sign Test Credit Ratings for INSTONE REAL ESTATE GROUP AG as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba3 Semantic Signals 36 31 Financial Signals 90 50

NSE:SPANDANA Stock Forecast by Chaikin Money Flow with ANOVA

The stock price realization for NSE:SPANDANA is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Chaikin Money Flow and ANOVA. Machine Learning based stock forecast (n+15) for SPANDANA Spandana Sphoorty Financial Limited as below: SPANDANA Spandana Sphoorty Financial Limited Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+15) I

PennantPark Floating Rate Capital Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 03:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for PennantPark Floating Rate Capital Ltd.: We estimate the credit risk parameters by Demand and ElasticNet Regression Credit Ratings for PennantPark Floating Rate Capital Ltd. as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 88 57 Financial Signals 88 46 Risk Signals 32 54 Substantial Risks 55 62 Speculative Signals 53 33 *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.

NYSE:HEP Stock Forecast Outlook:Negative by Rate of Change (ROC) with Logistic Regression

The stock price realization for NYSE:HEP is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rate of Change (ROC) and Logistic Regression. Machine Learning based stock forecast (n+3m) for HEP Holly Energy Partners as below: HEP Holly Energy Partners Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) In this scenario, we would

BI-STONE BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 02:55:02 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 BI-STONE BANCSHARES, INC.: We estimate the credit risk parameters by Crystal Oscillators and Lasso Regression Credit Ratings for BI-STONE BANCSHARES, INC. as of 0

LON:FGT Stock Forecast by Simple Moving Average (SMA) with Polynomial Regression

The stock price realization for LON:FGT 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 Polynomial Regression. Machine Learning based stock forecast (n+15) for FGT FINSBURY GROWTH & INCOME TRUST PLC as below: FGT FINSBURY GROWTH & INCOME TRUST PLC Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2

Beijing Gas Group Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Beijing Gas Group Co., Ltd.: We estimate the credit risk parameters by Expectation and Ridge Regression Credit Ratings for Beijing Gas Group Co., Ltd. as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 86 43 Financial Signals 35 66 Risk Signals 33 52 Substantial Risks 77 86 Speculative Signals 79 40 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers

LON:STB Stock Forecast by Pierce Oscillators with Paired T-Test

The stock price realization for LON:STB 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 Paired T-Test. Machine Learning based stock forecast (n+3m) for STB SECURE TRUST BANK PLC as below: STB SECURE TRUST BANK PLC Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+3m) While the existence of a commercial

TELECOM PLUS PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for TELECOM PLUS PLC: We estimate the credit risk parameters by Electron Coupled Oscillators and ANOVA Credit Ratings for TELECOM PLUS PLC as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 72 79 Financial Signals 53 90 Risk Signals 47 40 Substantial Risks 82 43 Speculative Signals 56 78 *Machine Learni

NSE:INDTERRAIN Stock Forecast by Robinson Oscillators with Simple Regression

The stock price realization for NSE:INDTERRAIN is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Robinson Oscillators and Simple Regression. Machine Learning based stock forecast (n+3m) for INDTERRAIN Indian Terrain Fashions Limited as below: INDTERRAIN Indian Terrain Fashions Limited Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021

United Community Banks, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for United Community Banks, Inc.: We estimate the credit risk parameters by Anomaly and Factor Credit Ratings for United Community Banks, Inc. as of 01 Oct 2021 Credit Rating Short-Term Long-Term S

NASDAQ:TLND Stock Forecast by Stochastic Oscillator with ElasticNet Regression

The stock price realization for NASDAQ:TLND is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Stochastic Oscillator and ElasticNet Regression. Machine Learning based stock forecast (n+7) for TLND Talend S.A. as below: TLND Talend S.A. Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+7) When determining the cash to be included u

Planar Systems, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 00:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for Planar Systems, Inc.: We estimate the credit risk parameters by Heikin-Ashi and Pearson Correlation Credit Ratings for Planar Systems, Inc. as of 01 Oct 2021

NYSE:MD Stock Forecast Outlook:Negative by Expectation with Wilcoxon Rank-Sum Test

The stock price realization for NYSE:MD 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 Expectation and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for MD Mednax as below: MD Mednax Stock Forecast (Buy or Sell) as of 01 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: 01 Oct 2021 for (n+15) For new issuers, while our ratings are prospective, we will not in

CENTRAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 01 2021 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for CENTRAL BANK: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and ANOVA Credit Ratings for CENTRAL BANK as of 01 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 44 75 Financial Signals 87 78 Risk Signals 42 55 Substantial Risks 30 62 Speculative Signals 83 74 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.

NASDAQ:NMTR Stock Forecast by Rating with Chi-Square

The stock price realization for NASDAQ:NMTR is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Rating and Chi-Square. Machine Learning based stock forecast (n+15) for NMTR 9 Meters Biopharma as below: NMTR 9 Meters Biopharma Stock Forecast (Buy or Sell) as of 30 Sep 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Sep 2021 for (n+15) Larger, investment-grade issuers that have access t

National Bankshares, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Sep 30 2021 23:55:03 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 National Bankshares, Inc.: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Multiple Regression Credit Ratings for National Bankshares, Inc. as of 30 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 46 81 Financial Signals 68 59 Risk Signals 82 58 Substantial Risks 51 37 Speculative Signals 85 63 *Machine Learning utilizes multiple l

NASDAQ:CARG Stock Forecast by Multi-Wave Oscillators with Polynomial Regression

The stock price realization for NASDAQ:CARG 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 Multi-Wave Oscillators and Polynomial Regression. Machine Learning based stock forecast (n+3m) for CARG CarGurus as below: CARG CarGurus Stock Forecast (Buy or Sell) as of 30 Sep 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 30 Sep 2021 for (n+3m) The various qualitative factors in the crite

KBL Merger Corp IV Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Thu Sep 30 2021 23:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for KBL Merger Corp IV: We estimate the credit risk parameters by Price and Independent T-Test Credit Ratings for KBL Merger Corp IV as of 30 Sep 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 70 50 Financial Signals 56 78 Risk

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