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Showing posts from June 11, 2021

OXY Occidental Petroleum Corporation Stock Forecast (n+15)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of OXY Occidental Petroleum 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+15) for OXY Occidental Petroleum Corporation as below: OXY Occidental Petroleum Corporation Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock marke

First Union Financial Corporation Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 First Union Financial Corporation because If a breakdown of revenues by business line is not available, we apply a 188% risk weight to the highest annual revenue of the past three years. (We use econometric methods for period (n+30) simulate with RC Phase Shift Oscillator Linear Regression). When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. 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 First Union Financial Corporation as of 12 Jun 2021 Oscillators are u

TEO Telecom Argentina SA Stock Forecast Outlook:Negative (n+30)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of TEO Telecom Argentina SA 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 TEO Telecom Argentina SA as below: TEO Telecom Argentina SA 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,

Comerica Bank & Trust, National Association Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 2021 10:00:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Comerica Bank & Trust, National Association because of normalized loss rates using default and transition studies for corporate, sovereign, and financial institutions exposures and our assessment of long-term average annualized through-the-cycle expected losses informed by historical losses for retail and personal exposures. This normalized, through-the-cycle loss estimate is more conservative than an expected loss calculation based on a shorter time horizon, which might exclude periods of recession. (We use econometric methods for period (n+7) simulate with Tri-tet Oscillators Beta). 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 c

ROKU Roku Stock Forecast (n+7)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ROKU Roku 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 ROKU Roku as below: ROKU Roku 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 to specul

Northstar Realty Finance Corp. Preferred Series C Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 Northstar Realty Finance Corp. Preferred Series C 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 Triple Exponential Moving Average (TRIX) Factor). We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow. 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 Northstar Realty Finance Corp. Prefer

UGLD Credit Suisse AG Stock Forecast (n+15)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of UGLD 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+15) for UGLD Credit Suisse AG as below: UGLD 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 analyz

FIRST DOZIER BANCSHARES, INC. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 FIRST DOZIER BANCSHARES, INC. because has further large bullet maturities next year and its reliance on alternative financing. (We use econometric methods for period (n+30) simulate with RC Phase Shift Oscillator Chi-Square). If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade,

OPOF Old Point Financial Corporation Stock Forecast (n+7)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of OPOF Old Point Financial 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+7) for OPOF Old Point Financial Corporation as below: OPOF Old Point Financial 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

Solar Capital Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 2021 08:30:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Solar Capital 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+7) simulate with Robinson Oscillators Stepwise Regression). 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

CSII Cardiovascular Systems Stock Forecast (n+7)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CSII Cardiovascular Systems 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 CSII Cardiovascular Systems as below: CSII Cardiovascular Systems 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 expect

Stream Media Corp Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 Stream Media Corp because of management has no or few defined standards and tolerances and little risk management capability. (We use econometric methods for period (n+30) simulate with Opto-Electronic Oscillators Logistic Regression). 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 l

DWUS AdvisorShares Dorsey Wright FSM US Core ETF Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of DWUS AdvisorShares Dorsey Wright FSM US Core 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+6m) for DWUS AdvisorShares Dorsey Wright FSM US Core ETF as below: DWUS AdvisorShares Dorsey Wright FSM US Core ETF Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI

Henan Yicheng New Energy Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 Henan Yicheng New Energy Co Ltd because of add or deduct postretirement benefit adjustment. (We use econometric methods for period (n+1) simulate with Chaikin Money Flow ANOVA). 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. Take a look at Machine Learning section for Financial Deep Reinforcemen

AVDL Avadel Pharmaceuticals plc Stock Forecast Outlook:Negative (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of AVDL Avadel Pharmaceuticals plc 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 AVDL Avadel Pharmaceuticals plc as below: AVDL Avadel Pharmaceuticals plc 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

Lancaster Colony Corporation Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 12 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 Lancaster Colony Corporation because business model transition. (We use econometric methods for period (n+1) simulate with On Balance Volume (OBV) ANOVA). 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). 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 Lancaster Colony Corporation as of 12 Jun 2021 Oscillators are

ESE ESCO Technologies Inc. Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 12, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ESE ESCO Technologies 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+6m) for ESE ESCO Technologies Inc. as below: ESE ESCO Technologies 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 expectat