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. We estimate DTEA DAVIDsTEA Inc. stock forecast parameters by: Electron Coupled Oscillators with Ridge Regression DTEA DAVIDsTEA Inc. Stock Forecast (Buy or Sell) as of 27 May 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 Electron Coupled Oscillators and Ridge Regression. Machine Learning based stock forecast (n+3m) for DTEA DAVIDsTEA Inc. as below: Time series to forecast n: 27 May 2022 for (n+3m) How Does Forecast Model Work? x axis:Likeliho

Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. We estimate UEPS Net 1 UEPS Technologies stock forecast parameters by: Pearson-Anson Oscillators with Paired T-Test UEPS Net 1 UEPS Technologies Stock Forecast (Buy or Sell) as of 27 May 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 Pearson-Anson Oscillators and Paired T-Test. Machine Learning based stock forecast (n+3m) for UEPS Net 1 UEPS Technologies as below: Time series to forecast n: 27 May 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color

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. We estimate ALRM Alarm.com Holdings stock forecast parameters by: Stochastic Oscillator with Factor ALRM Alarm.com Holdings Stock Forecast (Buy or Sell) as of 27 May 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 Stochastic Oscillator and Factor. Machine Learning based stock forecast (n+1y) for ALRM Alarm.com Holdings as below: Time series to forecast n: 27 May 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential

The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. We estimate HZM HORIZONTE MINERALS PLC stock forecast parameters by: Royer Oscillators with Multiple Regression HZM HORIZONTE MINERALS PLC Stock Forecast (Buy or Sell) as of 27 May 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 Royer Oscillators and Multiple Regression. Machine Learning based stock forecast (n+1y) for HZM HORIZONTE MINERALS PLC as below: Time series to forecast n: 27 May 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. We estimate OIS Oil States International stock forecast parameters by: Psychological Line (PSY) with Pearson Correlation OIS Oil States International Stock Forecast (Buy or Sell) as of 27 May 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 Psychological Line (PSY) and Pearson Correlation. Machine Learning based stock forecast (n+7) for OIS Oil States International as below: Time series to forecast n: 27 May 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical

In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate AKZOINDIA Akzo Nobel India Limited stock forecast parameters by: Trend with ANOVA AKZOINDIA Akzo Nobel India Limited Stock Forecast (Buy or Sell) as of 26 May 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 AKZOINDIA Akzo Nobel India Limited as below: Time series to forecast n: 26 May 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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 characteristics, we could adjust our liquidity assessment downward. For example, we could lower our liquidity assessment on a volatile company to strong from exceptional if we believe key quantitative measures typical of exceptional liquidity are not sustainable over the forecast period. This could especially be true if we believe there is a higher prospect of ratios weakening from the peak of an economic cycle. We estimate PDT John Hancock Premium Dividend Fund stock forecast parameters by: Tuned Collector Oscillator with Spearman Correlation PDT John Hancock Premium Dividend Fund Stock Forecast (Buy or Sell) as of 26 May 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 Net

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 CSA VictoryShares US Small Cap Volatility Wtd ETF stock forecast parameters by: Pearson-Anson Oscillators with Linear Regression CSA VictoryShares US Small Cap Volatility Wtd ETF Stock Forecast (Buy or Sell) as of 26 May 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 Pearson-Anson Oscillators and Linear Regression. Machine Learning

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 amounts of debt in public markets. We estimate NIACL The New India Assurance Company Limited stock forecast parameters by: Expectation with ElasticNet Regression NIACL The New India Assurance Company Limited Stock Forecast (Buy or Sell) as of 26 May 2022 for (n+6m) Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning

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. We estimate DCI DOLPHIN CAPITAL INVESTORS LD stock forecast parameters by: Delay-Line Oscillators with Stepwise Regression DCI DOLPHIN CAPITAL INVESTORS LD Stock Forecast (Buy or Sell) as of 26 May 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 Delay-Line Oscillators and Stepwise Regression. Machine Learning based stock forecast (n+1y) for DCI DOLPHIN CAPITAL INVESTORS LD as below: Time series to forecast n: 26 May 2022 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y

Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. We estimate OSIS OSI Systems stock forecast parameters by: Volume with Wilcoxon Sign-Rank Test OSIS OSI Systems Stock Forecast (Buy or Sell) as of 26 May 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 Volume and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+30) for OSIS OSI Systems as below: Time series to forecast n: 26 May 2022 for (n+30) H

In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate NCBS Nicolet Bankshares Inc. stock forecast parameters by: Psychological Line (PSY) with Simple Regression NCBS Nicolet Bankshares Inc. Stock Forecast (Buy or Sell) as of 26 May 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 Simple Regression. Machine Learning based stock forecast (n+15) for NCBS Nicolet Bankshares Inc. as below: Time series to forecast n: 26 May 2022 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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 JEMI JPMORGAN GLOBAL EMERG. MKTS. IT PLC stock forecast parameters by: Directional Movement Indicator with Pearson Correlation JEMI JPMORGAN GLOBAL EMERG. MKTS. IT PLC Stock Forecast (Buy or Sell) as of 26 May 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 Directional Movement Indicator and Pearson Correlation. Machine Learning based stock forecast (n+6m) for JEMI JPMORGAN GLOBAL EMERG. MKTS. IT PLC as below: Time series to forecast n: 26 May 2022 for (n+