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Showing posts from November 5, 2021

NASDAQ:BSMS Stock Forecast by Volume + Moving Average with Lasso Regression

The stock price realization for NASDAQ:BSMS 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 + Moving Average and Lasso Regression. Machine Learning based stock forecast (n+1y) for BSMS Invesco BulletShares 2028 Municipal Bond ETF as below: BSMS Invesco BulletShares 2028 Municipal Bond ETF Stock Forecast (Buy or Sell) as of 06 Nov 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:

Medifirst Solutions Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 10:55:02 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 Medifirst Solutions Inc: We estimate the credit risk parameters by Anomaly and Paired T-Test Credit Ratings for Medifirst Solutions Inc as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba1 Semantic Signals 61 83 Financial Signals 72 76 Risk Signals 75 68 Su

NSE:GOKEX Stock Forecast Outlook:Negative by Dynatron Oscillators with Sign Test

The stock price realization for NSE:GOKEX is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Dynatron Oscillators and Sign Test. Machine Learning based stock forecast (n+1y) for GOKEX Gokaldas Exports Limited as below: GOKEX Gokaldas Exports Limited Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+1y) In determining how prudent

Jianpu Technology Inc - ADR Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for Jianpu Technology Inc - ADR: We estimate the credit risk parameters by Ratiocator (RAT) and Ridge Regression Credit Ratings for Jianpu Technology Inc - ADR as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 79 66 Financial Signals 70 40 Risk Signals 62 70 Substantial Risks 71 65 Speculative Signals 86 34 *Machine Learning utilizes multiple learning algor

NASDAQ:GBDC Stock Forecast by RC Phase Shift Oscillator with Linear Regression

The stock price realization for NASDAQ:GBDC 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 Linear Regression. Machine Learning based stock forecast (n+3m) for GBDC Golub Capital BDC as below: GBDC Golub Capital BDC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+3m) Given the earnings volatili

Silvercrest Asset Management Group Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 09:55:02 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 Silvercrest Asset Management Group Inc.: We estimate the credit risk parameters by FS and ElasticNet Regression Credit Ratings for Silvercrest Asset Management Group Inc. as of 06 Nov 2021 Credit Ratin

NYSE:VMW Stock Forecast Outlook:Negative by Price with Paired T-Test

The stock price realization for NYSE:VMW 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 Paired T-Test. Machine Learning based stock forecast (n+7) for VMW Vmware as below: VMW Vmware Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+7) Our liquidity uses include dividends and share repurchases that we expect under a

First Quality Finance Company, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for First Quality Finance Company, Inc.: We estimate the credit risk parameters by Accumulation Distribution Line and Chi-Square Credit Ratings for First Quality Finance Company, Inc. as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senio

NYSE:NX Stock Forecast by Keltner Channels with Sign Test

The stock price realization for NYSE:NX 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 Keltner Channels and Sign Test. Machine Learning based stock forecast (n+3m) for NX Quanex Building Products Corporation as below: NX Quanex Building Products Corporation Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+3m) Given that it

SVB Financial Group Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 08:55:03 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 SVB Financial Group: We estimate the credit risk parameters by Volume and Ridge Regression Credit Ratings for SVB Financial Group as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 38 61 Financial Signals 65 38 Risk Signals 74 60 Substantial Risks 60 67 Speculative Signals 65 50 *Machine Learning uti

NASDAQ:LXRX Stock Forecast Outlook:Negative by Delay-Line Oscillators with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:LXRX 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 Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for LXRX Lexicon Pharmaceuticals as below: LXRX Lexicon Pharmaceuticals Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+6m) In addition,

Harte Hanks Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 08:25:04 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 Harte Hanks Inc: We estimate the credit risk parameters by Crystal Oscillators and Polynomial Regression Credit Ratings for Harte Hanks Inc as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B1 Semantic Signals 64 47 Financial Signals 69 44 Risk Signals 58 59 Substantial Risks 86 61 Speculative Signals 80 88 *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:PYN Stock Forecast by Directional Movement Indicator with Simple Regression

The stock price realization for NYSE:PYN 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 Directional Movement Indicator and Simple Regression. Machine Learning based stock forecast (n+7) for PYN PIMCO New York Municipal Income Fund III as below: PYN PIMCO New York Municipal Income Fund III Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov

Polaris Bay Group Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 07:55:02 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 Polaris Bay Group Co Ltd: We estimate the credit risk parameters by Pierce Oscillators and Logistic Regression Credit Ratings for Polaris Bay Group Co Ltd as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 80 60 Financial Signals 76 49 Risk Signals 37 30 Substantial Risks 48 53 Speculative Signals 77 57 *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:SOCL Stock Forecast by Cross-Coupled Oscillators with Logistic Regression

The stock price realization for NASDAQ:SOCL 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 Logistic Regression. Machine Learning based stock forecast (n+6m) for SOCL Global X Social Media ETF as below: SOCL Global X Social Media ETF Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+6m) The vario

First Majestic Silver Corp. Ordinary Shares (Canada) Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 07:25:02 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 First Majestic Silver Corp. Ordinary Shares (Canada): We estimate the credit risk parameters by Parabolic SAR (PSAR) and Simple Regression Credit Ratings for First Majestic Silver Corp. Ordinary Shares (Canada) as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals 82 64 Financial Signals 44 67 Risk Signals 67 49 Substantial Risks 85 76 Speculative Signals 59 79 *Machine Learning util

NYSE:PB Stock Forecast by Williams %R with Beta

The stock price realization for NYSE:PB 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 Beta. Machine Learning based stock forecast (n+7) for PB Prosperity Bancshares as below: PB Prosperity Bancshares Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+7) For example, if a company incurred a large working capita

Alphatec Holdings, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 06:55:04 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 Alphatec Holdings, Inc.: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Multiple Regression Credit Ratings for Alphatec Holdings, Inc. as of 06 Nov 2021 Credit Rating

NASDAQ:RDCM Stock Forecast by Demand with Linear Regression

The stock price realization for NASDAQ:RDCM 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 Demand and Linear Regression. Machine Learning based stock forecast (n+30) for RDCM Radcom Ltd. as below: RDCM Radcom Ltd. Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+30) In determining how prudent a company's risk management

Eternal Asia Supply Chain Management LTD Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 06:25:02 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 Eternal Asia Supply Chain Management LTD: We estimate the credit risk parameters by Multi-Wave Oscillators and Logistic Regression Credit Ratings for Eternal Asia Supply Chain Management LTD

LON:AAAP Stock Forecast Outlook:Negative by Delay-Line Oscillators with Factor

The stock price realization for LON:AAAP 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 Factor. Machine Learning based stock forecast (n+3m) for AAAP ANGLO AFRICAN AGRICULTURE PLC as below: AAAP ANGLO AFRICAN AGRICULTURE PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+3m) In this scenario, we

Ericsson Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 05:55:02 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 Ericsson: We estimate the credit risk parameters by Aroon and Ridge Regression Credit Ratings for Ericsson as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 31 45

LON:PCIP Stock Forecast Outlook:Negative by Directional Movement Indicator with Stepwise Regression

The stock price realization for LON:PCIP 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 Directional Movement Indicator and Stepwise Regression. Machine Learning based stock forecast (n+3m) for PCIP PCI-PAL PLC as below: PCIP PCI-PAL PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+3m) Additionally, we exclude revolver b

NPC International, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 05:25:05 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for NPC International, Inc.: We estimate the credit risk parameters by RRS and Wilcoxon Rank-Sum Test Credit Ratings for NPC International, Inc. as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals 78 38 Financial Signals 46 85 Risk Signals 76 89 Substantial Risks 60 68 Speculative Signals 63 58 *Machine Learning utilizes multiple learnin

NASDAQ:UAL Stock Forecast by RRS with Linear Regression

The stock price realization for NASDAQ:UAL is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with RRS and Linear Regression. Machine Learning based stock forecast (n+15) for UAL United Airlines Holdings as below: UAL United Airlines Holdings Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+15) Other factors we consider include a co

Cameron International Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for Cameron International Corporation: We estimate the credit risk parameters by Tri-tet Oscillators and Factor Credit Ratings for Cameron International

NASDAQ:PUYI Stock Forecast by Hartley Oscillator with Logistic Regression

The stock price realization for NASDAQ:PUYI 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 Logistic Regression. Machine Learning based stock forecast (n+15) for PUYI Puyi Inc. as below: PUYI Puyi Inc. Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+15) For these reasons, although the criteria establi

Eaton Vance Municipal Income Trust Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 04:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for Eaton Vance Municipal Income Trust Common Stock: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Beta Credit Ratings for Eaton Vance Mun

LON:ROR Stock Forecast by Pierce Oscillators with Factor

The stock price realization for LON:ROR 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 Factor. Machine Learning based stock forecast (n+3m) for ROR ROTORK PLC as below: ROR ROTORK PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+3m) While the existence of a commercial paper (CP) program can provid

NATIONAL EXCHANGE BANK & TRUST Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for NATIONAL EXCHANGE BANK & TRUST: We estimate the credit risk parameters by Trend and Wilcoxon Sign-Rank Test Credit Ratings for NATIONAL EXCHANGE

LON:CVSG Stock Forecast Outlook:Negative by Pierce Oscillators with Polynomial Regression

The stock price realization for LON:CVSG 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 Polynomial Regression. Machine Learning based stock forecast (n+30) for CVSG CVS GROUP PLC as below: CVSG CVS GROUP PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+30) To assess an issuer's standing in the

Ball Metalpack LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 03:25:03 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 Ball Metalpack LLC: We estimate the credit risk parameters by Tuned Collector Oscillator and Simple Regression Credit Ratings for Ball Metalpack LLC as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 48 40 Financial Signals 74 47 Risk Signals 70 61 Substantial Risks 75 31 Speculative Signals 30 84 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the resul

NASDAQ:AEHR Stock Forecast by Ring Oscillators with ElasticNet Regression

The stock price realization for NASDAQ:AEHR 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 ElasticNet Regression. Machine Learning based stock forecast (n+15) for AEHR Aehr Test Systems as below: AEHR Aehr Test Systems Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+15) Our liquidity uses include divid

QB Net Holdings Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 02:55:02 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 QB Net Holdings Co Ltd: We estimate the credit risk parameters by Aroon and Lasso Regression Credit Ratings for QB Net Holdings Co Ltd as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 46 70 Financial Signals 89 89 Risk Signals 77 39 Substantial Risks 62 83 Speculative Signals 58 48 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In o

LON:MTO Stock Forecast by Momentum with Beta

The stock price realization for LON:MTO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Momentum and Beta. Machine Learning based stock forecast (n+7) for MTO MITIE GROUP PLC as below: MTO MITIE GROUP PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+7) Given the earnings volatility companies experience, we have specified

OAKDALE STATE BANK Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 02:25:01 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 OAKDALE STATE BANK: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Linear Regression Credit Ratings for OAKDALE STATE BANK as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Clas

LON:YNGN Stock Forecast Outlook:Negative by Colpitts Oscillator with Simple Regression

The stock price realization for LON:YNGN 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 Colpitts Oscillator and Simple Regression. Machine Learning based stock forecast (n+7) for YNGN YOUNG & CO'S BREWERY PLC as below: YNGN YOUNG & CO'S BREWERY PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+7) In our as

BERMELE PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 01:55:02 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 BERMELE PLC: We estimate the credit risk parameters by Tri-tet Oscillators and Paired T-Test Credit Ratings for BERMELE PLC as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 45 40 Financial Signals 65 78 Risk Signals 52 84 Substantial Risks 56 35 Speculative Signals 46 39 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utili

NYSE:APO Stock Forecast by Bollinger Bands %B with Factor

The stock price realization for NYSE:APO is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals. Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Bollinger Bands %B and Factor. Machine Learning based stock forecast (n+30) for APO Apollo Global Management as below: APO Apollo Global Management Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+30) We do not include potential future d

Stampede Capital Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through our assumption of peak CP amount. Rating Model for Stampede Capital Limited: We estimate the credit risk parameters by Chaikin Money Flow and Wilcoxon Rank-Sum Test Credit Ratings for Stampede Capital Limited as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 59 70 Financial Signals 43 89 Risk Signals 89 36 Substantial Risks 71 75 Speculative Signals 71 40 *Machine Lear

LON:RMS Stock Forecast by SMoothed Moving Average (SMMA) with Beta

The stock price realization for LON:RMS 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 Beta. Machine Learning based stock forecast (n+30) for RMS REMOTE MONITORED SYSTEMS PLC as below: RMS REMOTE MONITORED SYSTEMS PLC Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+30) In this scenario, w

Hangzhou Onechance Tech Crop Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. Rating Model for Hangzhou Onechance Tech Crop: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Ridge Regression Credit Ratings for Hangzhou Onechance Tech Crop as of 06 Nov 2021 Credit Ra

NYSE:ICD Stock Forecast by Chaikin Money Flow with Wilcoxon Sign-Rank Test

The stock price realization for NYSE:ICD 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+1y) for ICD Independence Contract Drilling as below: ICD Independence Contract Drilling Stock Forecast (Buy or Sell) as of 06 Nov 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: 06 Nov 2021 for (n+1y) The var

Fujix Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Nov 06 2021 00:25:03 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 Fujix Ltd: We estimate the credit risk parameters by RC Phase Shift Oscillator and Stepwise Regression Credit Ratings for Fujix Ltd as of 06 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2

NSE:DHANBANK Stock Forecast by Voltage Controlled Oscillator with Beta

The stock price realization for NSE:DHANBANK 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 Voltage Controlled Oscillator and Beta. Machine Learning based stock forecast (n+1y) for DHANBANK Dhanlaxmi Bank Limited as below: DHANBANK Dhanlaxmi Bank Limited Stock Forecast (Buy or Sell) as of 05 Nov 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: 05 Nov 2021 for (n+1y) For companies in

Muscle Maker Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Nov 05 2021 23:55:02 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 Muscle Maker Inc: We estimate the credit risk parameters by Penetration and ElasticNet Regression Credit Ratings for Muscle Maker Inc as of 05 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 65 66 Financial Signals 60 52 Risk Signals 48 37 Substantial Risks 41 73 Speculative Signals 75 59 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our re

LON:ATT Stock Forecast by Volume + Moving Average with Multiple Regression

The stock price realization for LON:ATT 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 + Moving Average and Multiple Regression. Machine Learning based stock forecast (n+3m) for ATT ALLIANZ TECHNOLOGY TRUST PLC as below: ATT ALLIANZ TECHNOLOGY TRUST PLC Stock Forecast (Buy or Sell) as of 05 Nov 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: 05 Nov 2021 for (n+3m) While the e

Nozaki Insatsu Shigyo Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Fri Nov 05 2021 23:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for Nozaki Insatsu Shigyo Co Ltd: We estimate the credit risk parameters by Triple Exponential Moving Average (TRIX) and Paired T-Test Credit Ratings for Nozaki Insatsu Shigyo Co Ltd as of 05 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 80 44 Financial Signals 81 75 Risk Signals 52 82 Substantial Risks 79 60 Speculative Signals 33 55 *Machine Learning utilizes multiple learning algorithms to obtain better predictiv