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Showing posts from June, 2021

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PAE PAE Incorporated Stock Forecast (n+3m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of PAE PAE Incorporated 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 and Support Vector Machines. Machine Learning based technical analysis (n+3m) for PAE PAE Incorporated as below: PAE PAE Incorporated Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze th

Farmers and Merchants Bank of Ashland Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 10:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Farmers and Merchants Bank of Ashland because the company faces substantial refinancing risk given significant maturities. (We use econometric methods for period (n+30) simulate with SMoothed Moving Average (SMMA) ElasticNet Regression). To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Credit Rating AI Process rely on primary sources o

LAKE Lakeland Industries Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of LAKE Lakeland Industries 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 and Support Vector Machines. Machine Learning based technical analysis (n+6m) for LAKE Lakeland Industries as below: LAKE Lakeland Industries Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, w

Pactiv Corporation Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 10:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Pactiv Corporation because of management is often unable to convert strategic decisions into constructive action; often fails to achieve its financial/operational goals. (We use econometric methods for period (n+7) simulate with KDJ Paired T-Test). For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Stateme

TBI TrueBlue Stock Forecast (n+7)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of TBI TrueBlue 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 and Support Vector Machines. Machine Learning based technical analysis (n+7) for TBI TrueBlue as below: TBI TrueBlue Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the reaction of investors t

Hangzhou XZB Tech Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 09:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Hangzhou XZB Tech Co Ltd because the steps to carry out a bail-in of that type of liability would involve such high operational complexities that would make its bail-in unlikely in a reasonable time. (We use econometric methods for period (n+30) simulate with Price Beta). Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Credit Rating AI Proc

BLRX BioLineRx Ltd. Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BLRX BioLineRx Ltd. 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 and Support Vector Machines. Machine Learning based technical analysis (n+6m) for BLRX BioLineRx Ltd. as below: BLRX BioLineRx Ltd. Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the r

Generations Bank Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 09:00:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Generations Bank because market volatility after the COVID-19 outbreak makes it highly uncertain. (We use econometric methods for period (n+1) simulate with Williams %R Stepwise Regression). 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. Credit Rating AI Process rely on primary sources of in

ODT Odonate Therapeutics Stock Forecast Outlook:Negative (n+7)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ODT Odonate Therapeutics 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 and Support Vector Machines. Machine Learning based technical analysis (n+7) for ODT Odonate Therapeutics as below: ODT Odonate Therapeutics Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we

MATSUMOTO INC. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 08:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated MATSUMOTO INC. because In addition to the risk weight based on revenues by business line, we apply a risk weight of 6.25% to cash and money market . (We use econometric methods for period (n+30) simulate with Envelope (ENV) Logistic Regression). 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 ti

PBPB Potbelly Corporation Stock Forecast (n+30)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of PBPB Potbelly Corporation 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 and Support Vector Machines. Machine Learning based technical analysis (n+30) for PBPB Potbelly Corporation as below: PBPB Potbelly Corporation Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations

KRS Corp Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 08:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated KRS Corp bacause the bail-in of that type of liability would not provide any economic benefit to the resolution or would even destroy value. (We use econometric methods for period (n+7) simulate with Bollinger Bands Width Logistic Regression). 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. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning. Risk Heat Map fo

WSR Whitestone REIT Stock Forecast (n+1y)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of WSR Whitestone REIT 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 and Support Vector Machines. Machine Learning based technical analysis (n+1y) for WSR Whitestone REIT as below: WSR Whitestone REIT Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the r

Merge Healthcare Incorporated. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 07:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Merge Healthcare Incorporated. because the liabilities' resolution-driven default is unlikely because of all of the following: The type of liability is earmarked in the resolution framework for potential exclusion from bail-in at the discretion of the national regulator, other creditors in our view are unlikely to legally challenge such an exclusion. (We use econometric methods for period (n+7) simulate with Moving Average Convergence Divergence (MACD) Factor). 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 sourc

EXFO EXFO Inc Stock Forecast (n+30)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of EXFO EXFO Inc 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 and Support Vector Machines. Machine Learning based technical analysis (n+30) for EXFO EXFO Inc as below: EXFO EXFO Inc Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the reaction of investo

Shenzhen Techand Ecology & Environment Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 07:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Shenzhen Techand Ecology & Environment because Incremental risk charge, comprehensive risk measure. (We use econometric methods for period (n+30) simulate with Rate of Change (ROC) Wilcoxon Rank-Sum Test). 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. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning. Risk Heat Map for Sh

RGP Resources Connection Stock Forecast (n+1y)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Thu, Jul 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of RGP Resources Connection 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 and Support Vector Machines. Machine Learning based technical analysis (n+1y) for RGP Resources Connection as below: RGP Resources Connection Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, w

CSPC Pharmaceutical Group Ltd Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Thu Jul 01 2021 06:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated CSPC Pharmaceutical Group Ltd because of core capital, as measured by adjusted common equity, comprises more than 90% of the TAC, or double leverage is less than 90%. (We use econometric methods for period (n+1) simulate with Psychological Line (PSY) Ridge Regression). 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. Credit Rating AI Process rely on prima

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