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Showing posts from June 25, 2021

SKOR FlexShares Credit Stock Forecast (n+30)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of SKOR FlexShares Credit 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 SKOR FlexShares Credit as below: SKOR FlexShares Credit 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 ana

Main Street Bancshares, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 Main Street Bancshares, Inc. because of idealized loss rates for particular credit risk assets from a substantial economic stress in developed markets. (We use econometric methods for period (n+7) simulate with Speculation Stepwise Regression). 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. Credit Rating AI Process rely on primary sources of info

LMBS First Trust Low Duration Opportunities ETF Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of LMBS First Trust Low Duration Opportunities 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 LMBS First Trust Low Duration Opportunities ETF as below: LMBS First Trust Low Duration Opportunities ETF Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equ

Templeton Global Income Fund, Inc. Common Stock Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 Templeton Global Income Fund, Inc. Common Stock 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+7) simulate with Running Moving Average (RMA) 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 difficult

DNKN Dunkin' Brands Group Stock Forecast (n+15)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of DNKN Dunkin' Brands 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+15) for DNKN Dunkin' Brands Group as below: DNKN Dunkin' Brands 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

Blue Ridge Bank, National Association Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 Blue Ridge Bank, National Association because liquidity position will remain exceptionally weak over the next 12 months. (We use econometric methods for period (n+1) simulate with Volume + Moving Average Chi-Square). 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 Blue Ridge Bank, National Association as of 26 Jun 2021 Oscillators are used for generating c

MSBF MSB Financial Corp. Stock Forecast (n+3m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MSBF MSB Financial Corp. 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 MSBF MSB Financial Corp. as below: MSBF MSB Financial Corp. 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,

CROCKETT COUNTY NATIONAL BANK Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 CROCKETT COUNTY NATIONAL BANK because of derivatives receivables represent more than 3% of total assets for entities reporting under IFRS (or under local GAAP similar to IFRS for the accounting of derivatives) and are domiciled in countries for which our BICRA group is '1' to '4'. (We use econometric methods for period (n+1) simulate with Triple Exponential Moving Average (TRIX) ElasticNet Regression). Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liqui

BIS ProShares UltraShort Nasdaq Biotechnology Stock Forecast Outlook:Negative (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BIS ProShares UltraShort Nasdaq Biotechnology 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 BIS ProShares UltraShort Nasdaq Biotechnology as below: BIS ProShares UltraShort Nasdaq Biotechnology Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalen

Corcept Therapeutics Incorporated Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 Corcept Therapeutics Incorporated 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+30) simulate with SMoothed Moving Average (SMMA) Multiple Regression). 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) be

CCI Crown Castle International Corp. (REIT) Stock Forecast (n+15)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CCI Crown Castle International Corp. (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+15) for CCI Crown Castle International Corp. (REIT) as below: CCI Crown Castle International Corp. (REIT) Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a

MCS Group Subholdings LLC Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 MCS Group Subholdings LLC 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+1) simulate with Opto-Electronic Oscillators Chi-Square). Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Credit Rating AI Proces

MSI Motorola Solutions Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MSI Motorola Solutions 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 MSI Motorola Solutions as below: MSI Motorola Solutions 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 ana

Infibeam Avenues Limited Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 Infibeam Avenues Limited because of add or deduct postretirement benefit adjustment. (We use econometric methods for period (n+7) simulate with Armstrong Oscillator 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 Infibeam Avenues Limited as of 26 Jun 2021 Oscillators are used for generating credit risk signals by using the semantic and financial s

MTZ MasTec Stock Forecast (n+3m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MTZ MasTec 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 MTZ MasTec as below: MTZ MasTec 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 sp

REMOTE MONITORED SYSTEMS PLC Credit Rating & Financial Statements Analysis

BOSTON (AI Credit Rating Terminal) Sat Jun 26 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 REMOTE MONITORED SYSTEMS PLC because free cash flow negative and leverage high. (We use econometric methods for period (n+30) simulate with Rating Paired T-Test). 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, we do not assume bank lines will be extended beyond the current

NRG NRG Energy Stock Forecast (n+6m)

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Sat, Jun 26, '21 AI Forecast today took the forecast actions: In the context of stock price realization of NRG NRG Energy 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 NRG NRG Energy as below: NRG NRG Energy 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 inv