For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. We estimate PPL Prakash Pipes Limited stock forecast parameters by: RC Phase Shift Oscillator with Polynomial Regression PPL Prakash Pipes Limited Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+1y) 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 with RC Phase Shift Oscillator and Polynomial Regression. Machine Learning based stock forecast (n+1y) for PPL Prakash Pipes Limited as below: Time series to forecast n: 13 Apr 2022 for (n+1y) How Does Forecast Model Work? x axis:Like

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 liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. We estimate EDGI EDGE PERFORMANCE VCT PLC stock forecast parameters by: Volume + Moving Average with Beta EDGI EDGE PERFORMANCE VCT PLC Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+6m) 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 with Volume + Moving Average and Beta. Machine Learning based stock fore

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. We estimate NOCIL NOCIL Limited stock forecast parameters by: Chaikin Money Flow with Sign Test NOCIL NOCIL Limited Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+1y) 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 with Chaikin Money Flow and Sign Test. Machine Learning based stock forecast (n+1y) for NOCIL NOCIL Limited as below: Time series to forecast n: 13 Apr 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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. We estimate BX The Blackstone Group L.P. stock forecast parameters by: Triple Exponential Moving Average (TRIX) with Linear Regression BX The Blackstone Group L.P. Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+3m) 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 with Triple Exponential Moving Average (TRIX) and Linear Regression. Machine Learning based stock forecast (n+3m) for BX The Blackstone Group L.P. as below: Time series to forecast

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. We estimate GIII G stock forecast parameters by: Psychological Line (PSY) with Chi-Square GIII G Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+15) 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 with Psychological Line (PSY) and Chi-Square. Machine Learning based stock forecast (n+15) for GIII G as below: Time series to forecast n: 13 Apr 2022 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysi

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. We estimate DRIP DRUM INCOME PLUS REIT PLC stock forecast parameters by: Tuned Collector Oscillator with Linear Regression DRIP DRUM INCOME PLUS REIT PLC Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+30) 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 with Tuned Collector Oscillator and Linear Regression. Machine Learning based stock forecast (n+30) for DRIP DRUM INCOME PLUS REIT PLC as below: Time series to forecast n: 13 Apr 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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. We estimate SOM SOMERO ENTERPRISE INC stock forecast parameters by: Clapp Oscillators with Ridge Regression SOM SOMERO ENTERPRISE INC Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+3m) 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 with Clapp Oscillators and Ridge Regression. Machine Learning based stock forecast (n+3m) for SOM SOMERO ENTERPRISE INC as below: Time series to forecas

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. We estimate APWC Asia Pacific Wire & Cable Corporation Limited stock forecast parameters by: Meissner Oscillators with Beta APWC Asia Pacific Wire & Cable Corporation Limited Stock Forecast (Buy or Sell) as of 13 Apr 2022 for (n+1y) 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 with Meissner Oscillators and

In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. We estimate NELCAST Nelcast Limited stock forecast parameters by: Volume with Beta NELCAST Nelcast Limited Stock Forecast (Buy or Sell) as of 12 Apr 2022 for (n+1y) 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 with Volume and Beta. Machine Learning based stock forecast (n+1y) for NELCAST Nelcast Limited as below: Time series to forecast n: 12 Apr 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. We estimate IPI Intrepid Potash stock forecast parameters by: OCL with Multiple Regression IPI Intrepid Potash Stock Forecast (Buy or Sell) as of 12 Apr 2022 for (n+30) 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 with OCL and Multiple Regression. Machine Learning based stock forecast (n+30) for IPI Intrepid Potash as below: Time series to forecast n: 12 Apr 202

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. We estimate UOS UAE OIL SERVICES PLC stock forecast parameters by: Wien Bridge Oscillator with Beta UOS UAE OIL SERVICES PLC Stock Forecast (Buy or Sell) as of 12 Apr 2022 for (n+15) 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 with W

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. We estimate MIC MIC Electronics Limited stock forecast parameters by: FS with Polynomial Regression MIC MIC Electronics Limited Stock Forecast (Buy or Sell) as of 12 Apr 2022 for (n+7) 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 with FS and Polynomial Regression. Machine Learning based stock forecast (n+7) for MIC MIC Electronics Limited as below: Time series to forecast n: 12 Apr 2022

For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. We estimate KMSUGAR K.M.Sugar Mills Limited stock forecast parameters by: Trend with ANOVA KMSUGAR K.M.Sugar Mills Limited Stock Forecast (Buy or Sell) as of 12 Apr 2022 for (n+1y) 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 with Trend and ANOVA. Machine Learning based stock forecast (n+1y) for KMSUGAR K.M.Sugar Mills Limited as below: Time series to forecast n: 12 Apr 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yel