BOSTON (AI Credit Rating Terminal) Tue Jun 29 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 Regency Energy Partners LP because free cash flow negative and leverage high. (We use econometric methods for period (n+1) simulate with Simple Moving Average (SMA) ElasticNet Regression). We do not include potential future debt issuances as a source of liquidity because of the uncertainty of a company's ability to access debt markets in times of financial stress, even for investment-grade issuers. For instance, in the case of a proposed financing, with the intended use of proceeds to repay existing debt, we will assess a company's liquidity excluding the proposed financing until it's obtained or fully underwritten. 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) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MHNC Maiden Holdings North America 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 MHNC Maiden Holdings North America as below: MHNC Maiden Holdings North America Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynam

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of TD Toronto Dominion Bank (The) 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 TD Toronto Dominion Bank (The) as below: TD Toronto Dominion Bank (The) 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 pri

BOSTON (AI Credit Rating Terminal) Tue Jun 29 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 BECHTLE AG O.N. because of the risk or unstable nature of the firm's mix of business, some aspect of the firm's market position, customer confidence sensitivity, or expected revenue stability are materially weaker than average, or represent substantial risk beyond risks captured in the anchor. (We use econometric methods for period (n+7) simulate with OCL Wilcoxon Sign-Rank Test). 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:

BOSTON (AI Credit Rating Terminal) Tue Jun 29 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 Reynolds, Teague, Thurman Financial Corporation because of deduct investments in insurance subsidiaries (as per paragraphs 41-43) and significant minority investments in financial institutions. (We use econometric methods for period (n+30) simulate with Voltage Controlled Oscillator Wilcoxon Sign-Rank Test). 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

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CLBS Caladrius Biosciences 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 CLBS Caladrius Biosciences as below: CLBS Caladrius Biosciences 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) Tue Jun 29 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 Shanghai Xujiahui Commercial Co Ltd 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+1) simulate with Multi-Wave Oscillators Multiple 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 prima

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ASYS Amtech 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+6m) for ASYS Amtech Systems as below: ASYS Amtech 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 expectations, we analyze the

BOSTON (AI Credit Rating Terminal) Tue Jun 29 2021 06:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Xiamen Kingdomway Group Co 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+1) simulate with Speculation ElasticNet Regression). 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. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning sec

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of FKO First Trust South Korea AlphaDEX Fund 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 FKO First Trust South Korea AlphaDEX Fund as below: FKO First Trust South Korea AlphaDEX Fund Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model

BOSTON (AI Credit Rating Terminal) Tue Jun 29 2021 05:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Resource Capital Corp. Pfd Ser B because business model transition. (We use econometric methods for period (n+30) simulate with Robinson Oscillators Simple Regression). 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 amoun

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of UAN CVR Partners 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 UAN CVR Partners as below: UAN CVR Partners 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) Tue Jun 29 2021 05:00:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Amber Enterprises India Limited because Internal models approach when no breakdown by component is available. (We use econometric methods for period (n+30) simulate with Psychological Line (PSY) Multiple Regression). While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ELJ Entergy Louisiana 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 ELJ Entergy Louisiana as below: ELJ Entergy Louisiana 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) Tue Jun 29 2021 04:30:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Shenzhen Sunxing Light Allys Mtrls Co Ld 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 RRS Multiple Regression). 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 liq

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of UIHC United Insurance Holdings 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+15) for UIHC United Insurance Holdings Corp. as below: UIHC United Insurance Holdings Corp. Earnings and Sales Forecasts (price v. volume) Using machine learning modified The random walk index model RWI equivalent to a model of stock marke

BOSTON (AI Credit Rating Terminal) Tue Jun 29 2021 04:00:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Financial Statements Overview & Credit Rating Rationales We rerated Jiangsu Wujin Stnlss Stel Pipe Gp Co Ltd because of deduct interest-only strips. (We use econometric methods for period (n+30) simulate with Wien Bridge Oscillator 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 Jiangsu Wujin Stnlss Stel Pipe Gp Co Ltd as of 29 Jun 2021 Oscillators are used for generating credit risk signals by using the seman

Stock Forecast (Buy or Sell) BOSTON (AI Forecast Terminal) Tue, Jun 29, '21 AI Forecast today took the forecast actions: In the context of stock price realization of NWPX Northwest Pipe Company 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 NWPX Northwest Pipe Company as below: NWPX Northwest Pipe Company 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