Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BCBP BCB Bancorp 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 BCBP BCB Bancorp as below: BCBP BCB Bancorp 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

BOSTON (AI Credit Rating Terminal) Fri Jun 11 2021 10:30:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Postal Savings Bank of China Co Ltd because market risk charges capture the risk of loss on trading portfolio at a one-year horizon and a 99.9% confidence level. (We use econometric methods for period (n+7) simulate with Tuned Collector Oscillator Beta). 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

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of GLDI Credit Suisse AG 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 GLDI Credit Suisse AG as below: GLDI Credit Suisse AG 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

BOSTON (AI Credit Rating Terminal) Fri Jun 11 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 Family Federal Savings, F.A. because of capital metrics would not be eroded by any of the following: repayment of government-contributed equity, recognition of any currently unrecognized economic losses, reduction from capital the amount necessary to appropriately capitalize any materially undercapitalized unconsolidated subsidiaries, and reversal of any property valuation adjustment. (We use econometric methods for period (n+7) simulate with Royer Oscillators Paired T-Test). 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. Credit Rating AI Process rely on primary

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BSCP Invesco BulletShares 2025 Corporate Bond ETF 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 BSCP Invesco BulletShares 2025 Corporate Bond ETF as below: BSCP Invesco BulletShares 2025 Corporate Bond ETF Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model R

BOSTON (AI Credit Rating Terminal) Fri Jun 11 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 Morningstar Japan K. K. because of derivatives receivables represent more than 0.5% of total assets for entities reporting under U.S. GAAP. (We use econometric methods for period (n+1) simulate with Tuned Collector Oscillator Wilcoxon Sign-Rank Test). 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. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Mach

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MFG Mizuho Financial Group 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 MFG Mizuho Financial Group as below: MFG Mizuho Financial Group 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 expectat

BOSTON (AI Credit Rating Terminal) Fri Jun 11 2021 09:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated AOB Ventures, Inc. because of vulnerability of the two metrics to changes in operating conditions. (We use econometric methods for period (n+1) simulate with EMR Paired T-Test). 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 primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signa

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of IVZ Invesco Plc New 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+15) for IVZ Invesco Plc New as below: IVZ Invesco Plc New 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

BOSTON (AI Credit Rating Terminal) Fri Jun 11 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 IOWA TRUST AND SAVINGS BANK because of capital metrics would not be eroded by any of the following: repayment of government-contributed equity, recognition of any currently unrecognized economic losses, reduction from capital the amount necessary to appropriately capitalize any materially undercapitalized unconsolidated subsidiaries, and reversal of any property valuation adjustment. (We use econometric methods for period (n+1) simulate with Heikin-Ashi Factor). 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 annu

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of POTX Global X Cannabis ETF 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 POTX Global X Cannabis ETF as below: POTX Global X Cannabis ETF 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 expectati

BOSTON (AI Credit Rating Terminal) Fri Jun 11 2021 08:00:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated C-B-G, Inc. because of at least one of the following applies: shareholders are supportive of strong capital, with lower expectations for dividends and share buybacks; the firm has concrete commitments from outside parties to provide it with material amounts of loss-absorbing capital that practically can be exercised while still a going concern; or the firm is at least adequately capitalized and a committed strong financial partner or backer bolsters financial flexibility. (We use econometric methods for period (n+7) simulate with Opto-Electronic Oscillators Simple 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.

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MRAM Everspin Technologies 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 MRAM Everspin Technologies as below: MRAM Everspin Technologies 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 expectati

BOSTON (AI Credit Rating Terminal) Fri Jun 11 2021 07:30:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated SAVANNAH BANK OF SAVANNAH NY 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+30) simulate with Anomaly Linear Regression). 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. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals.

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of TR Tootsie Roll 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+1y) for TR Tootsie Roll Industries as below: TR Tootsie Roll 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 expectat

BOSTON (AI Credit Rating Terminal) Fri Jun 11 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 ALLIANCE BANK CENTRAL TEXAS because of concentration of revenue contribution from different business lines (and products within those lines), geographies, and customers. (We use econometric methods for period (n+7) simulate with Profit Linear Regression). 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. 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 ALLIANCE BANK CENTRAL TEXAS as of 11 Jun 2021 Oscillators are used for generating credit risk signal

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Fri, Jun 11, '21 AI Forecast today took the forecast actions: In the context of stock price realization of TGTX TG 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 TGTX TG Therapeutics as below: TGTX TG 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 analyze th