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AC Invest currently does not act as an equities executing broker, credit rating agency or route orders containing equities securities. In our Machine Learning experiment*, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.The rating information provided is for informational, non-commercial purposes only, does not constitute investment advice and is subject to conditions available in our Legal Disclaimer. Usage as a credit rating or as a benchmark is not permitted.


Information on this website has been obtained by AC Invest from the machine learning*, neural network*, support vector machines* and other sources believed to be accurate and reliable. However, because of the possibility of human, machine learning or mechanical error as well as other factors, AC Invest makes no representation or warranty, express or implied, as to accuracy, results, adequacy, timeliness, completeness or merchantability, or fitness for any particular purpose, with respect to any such information, and is not responsible for any errors or omissions, or for results obtained from the use of such information. Under no circumstances will AC Invest be liable for any special, indirect, incidental or consequential damages of any kind caused by the use of any such information, including but not limited to, lost opportunity or lost money, whether in contract, tort, strict liability or otherwise, and whether such damages are foreseeable or unforeseeable. AC Invest’s machine learning* based forecast, ratings and credit assessments are statements of opinion, and not statements of fact as to forecast, credit risk decisions or recommendations regarding decisions to purchase, sell or hold any securities such as individual bonds or commercial paper. The forecast, ratings and credit assessments may be changed, suspended or withdrawn as a result of changes in or unavailability of information as well as other factors. 


Usage as a credit rating, investment advice or as a benchmark is not permitted. Unless otherwise explicitly agreed in writing, usage for products and services, index creation, derivative work, portfolio or fund management, or any other usage are not permitted. By way of exception, usage is permitted only to the rated company, limited to a single reference of its own information in annual reporting and ademcetinkaya.com website, mentioning AC Invest as a source.


*In our experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making. 


*Neural networks are made up of collections of information-processing units that work as a team, passing information between them similar to the way neurons do inside the brain. Together, these networks are able to take on greater challenges with more complexity and detail than traditional programming can handle.AI design teams can assign each piece of a network to recognizing one of many characteristics. The sections of the network then work as one to build an understanding of the relationships and correlations between those elements — working out how they typically fit together and influence each other. 


*In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.The Support Vector Machine (SVM) algorithm is a popular machine learning tool that offers solutions for both classification and regression problems.

TAKE A LOOK AT*

CSG Systems International, Inc. Credit Rating & Financial Statements Analysis

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 stated maturity. Rating Model for CSG Systems International, Inc.: We estimate the credit risk parameters by Clapp Oscillators and Paired T-Test Credit Ratings for CSG Systems International, Inc. as of 25 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba3 Semantic Signals 85 57 Financial Signals 56 65 Risk Signals 38 30 Substantial Risks 58

SandRidge Permian Trust Common Units of Benficial Interest Assigned Short-Term B3 & Long-Term Ba3 Credit Rating

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 liquidity.SandRidge Permian Trust Common Units of Benficial Interest Assigned Short-Term B3 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for SandRidge Permian Trust Common Units of Benficial Interest: We estimate the credit risk parameters by Volume and Stepwise Regression Credit Ratings for SandRidge Permian Trust Common Units of Benficial Interest as of 27 Jan 2022 Credit Rating Short-Term Long-Term Senio

MAX BANCORP, LLC Assigned Short-Term B1 & Long-Term B1 Credit Rating

We do not assume future debt refinancing or the rolling over of CP, regardless of the company's perceived credit strength or issuer credit rating. For instance, even for investment-grade issuers, we do not assume future debt maturities are refinanced with potential uncommitted capital raises. We could, however, consider a shorter time horizon.MAX BANCORP, LLC Assigned Short-Term B1 & Long-Term B1 Credit Rating. How Does Credit Rating Model Work? Rating Model for MAX BANCORP, LLC: We estimate the credit risk parameters by Meissner Oscillators and Linear Regression Credit Ratings for MAX BANCORP, LLC as of 27 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 66 67 Financial Signals 39 35 Risk Signals 85 59 Substantial Risks 55 56 Speculative Signals 67 82 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results

MIDDLEFIELD CANADIAN INCOME PCC Assigned Short-Term B1 & Long-Term Ba1 Credit Rating

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.MIDDLEFIELD CANADIAN INCOME PCC Assigned Short-Term B1 & Long-Term Ba1 Credit Rating. How Does Credit Rating Model Work? Rating Model for MIDDLEFIELD CANADIAN INCOME PCC: We estimate the credit risk parameters by Accumulation Distribution Line and ANOVA Credit Ratings for MIDDLEFIELD CANADIAN INCOME PCC as of 27 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba1 Semantic Signals 74 70 Financial Signals 83 78 Risk Signals 58 44 Substantial Risks 46 84 Speculative Signals 43 72 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to co

PIMCO Dynamic Income Fund Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Jan 24 2022 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for PIMCO Dynamic Income Fund: We estimate the credit risk parameters by Bollinger Bands %B and Independent T-Test Credit Ratings for PIMCO Dynamic Income Fund as of 24 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba2 Semantic Signals 45 34 Financial Signals 87 87 Risk Signals 63 69 Substantial Risks 76 84 Speculative Signals 32 62 *Machine Learning utilizes multiple learning algorith

Narumiya International Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Jan 23 2022 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Narumiya International Co Ltd: We estimate the credit risk parameters by Average True Range (ATR) and Multiple Regression Credit Ratings for Narumiya International Co Ltd as of 23 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 65 86 Financial Signals 48 88 Risk Signals 88 50 Substantial Risks 59 54 Speculative Signals 74 69 *Machine Learning utilizes multiple l

SIIX Corp. Assigned Short-Term B2 & Long-Term Ba3 Credit Rating

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.SIIX Corp. Assigned Short-Term B2 & Long-Term Ba3 Credit Rating. How Does Credit Rating Model Work? Rating Model for SIIX Corp.: We estimate the credit risk parameters by Keltner Channels and Factor Credit Ratings for SIIX Corp. as of 27 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 49 63 Financial Signals 42 51 Risk Signals 38 68 Substantial Risks 77 76 Speculative Signals 63 61 *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.Take a look at: How Does Credit Rating Model Work? Financial Analysis for SIIX Corp. Financials: PREMIUM Income Statement: PREMIUM Balance Sheet: PRE

The First, A National Banking Association Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Jan 24 2022 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for The First, A National Banking Association: We estimate the credit risk parameters by Directional Movement Indicator and Logistic Regression Credit Ratings for The F

Western Alliance Bancorporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sat Jan 22 2022 07:42:01 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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 liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for Western Alliance Bancorporation: We estimate the credit risk parameters by Parabolic SAR (PSAR) and Polynomial Regression Credit Ratings for Western Alliance Bancor

Ameresco Inc Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Jan 24 2022 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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). Rating Model for Ameresco Inc: We estimate the credit risk parameters by KDJ and Paired T-Test Credit Ratings for Ameresco Inc as of 24 Jan 2022 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3 Semantic Signals 41 80 Financial Signals 71 78 Risk Signals 90 34 Substantial Risks 90 75 Speculative Signals 54 54 *Machine Learning u

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