If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. We estimate IDA IDACORP stock forecast parameters by: Bollinger Bands Width with Lasso Regression IDA IDACORP Stock Forecast (Buy or Sell) as of 21 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 Bollinger Bands Width and Lasso Regression. Machine Learning based stock

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. We estimate OPK Opko Health stock forecast parameters by: Directional Movement Indicator with Logistic Regression OPK Opko Health Stock Forecast (Buy or Sell) as of 21 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 Directional Movement Indicator and Logistic Regression. Machine Learning based stock forecast (n+7) for OPK Opko Health as below: Time series to forecast n: 21 May 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. We estimate WTS Watts Water Technologies stock forecast parameters by: Bollinger Bands with Spearman Correlation WTS Watts Water Technologies Stock Forecast (Buy or Sell) as of 21 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 Bollinger Bands and Spearman Correlatio

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 AER Aercap Holdings N.V. Ordinary Shares stock forecast parameters by: Meissner Oscillators with Logistic Regression AER Aercap Holdings N.V. Ordinary Shares Stock Forecast (Buy or Sell) as of 21 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 Meissner Oscillators and Logistic Regression. Machine Learning based stock forecast (n+7) for AER Aercap Holdings N.V. Ordinary Shares as below: Time series to forecast n: 21 May 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate CCT CHARACTER GROUP PLC stock forecast parameters by: Modified (Smoothed) Moving Average with Factor CCT CHARACTER GROUP PLC Stock Forecast (Buy or Sell) as of 21 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 Modified (Smoothed) Moving Average and Factor. Machine Learning based stock forecast (n+15) for CCT CHARACTER GROUP PLC as below: Time series to forecast n: 21 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 %

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 UHT Universal Health Realty Income Trust stock forecast parameters by: Robinson Oscillators with Sign Test UHT Universal Health Realty Income Trust Stock Forecast (Buy or Sell) as of 21 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 Robinson Oscillators and Sign Test. Machine Learning based stock forecast (n+30) for UHT Universal Health Realty Income Trust as below: Time series to forecast n: 21 May 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Te

Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. We estimate INCH INCHCAPE PLC stock forecast parameters by: Momentum with ANOVA INCH INCHCAPE PLC Stock Forecast (Buy or Sell) as of 21 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 Momentum and ANOVA. Machine Learning based stock forecast (n+1y) for INCH INCHCAPE PLC as below: Time series to forecast n: 21 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 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 WSFS WSFS Financial Corporation stock forecast parameters by: Wien Bridge Oscillator with Wilcoxon Sign-Rank Test WSFS WSFS Financial Corporation Stock Forecast (Buy or Sell) as of 20 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 Wien Bridge Oscillator and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+6m) for WSFS WSFS Financial Corporation as below: Time series to forecast n: 20 May 2022 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential

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 CLCO CLOUDCOCO GROUP PLC stock forecast parameters by: EMR with Linear Regression CLCO CLOUDCOCO GROUP PLC Stock Forecast (Buy or Sell) as of 20 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 EMR and Linear Regression. Machine Learning based stock forecast (n+6m) for CLCO CLOUDCOCO GROUP PLC as below: Time series to forecast n: 20 May 2022 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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 EQBK Equity Bancshares stock forecast parameters by: Hartley Oscillator with Wilcoxon Sign-Rank Test EQBK Equity Bancshares Stock Forecast (Buy or Sell) as of 20 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 Hartley Oscillator and Wilcoxon Sign-Rank Test. Machine Learning based

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 STAA STAAR Surgical Company stock forecast parameters by: Dynatron Oscillators with Sign Test STAA STAAR Surgical Company Stock Forecast (Buy or Sell) as of 20 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 Dynatron Oscillators and Sign Test. Machine Learning based stock forecast

When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate IGI Western Asset Investment Grade Defined Opportunity Trust Inc. stock forecast parameters by: SMoothed Moving Average (SMMA) with Beta IGI Western Asset Investment Grade Defined Opportunity Trust Inc. Stock Forecast (Buy or Sell) as of 20 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 SMoothed Moving Average (SMMA) and Beta. Machine Learning based stock forecast (n+1y) for IGI Western Asset Investment Grade Defined Opportunity Trust Inc. as below: Time series to forecast n: 20 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 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 VISAKAIND Visaka Industries Limited stock forecast parameters by: Tri-tet Oscillators with Pearson Correlation VISAKAIND Visaka Industries Limited Stock Forecast (Buy or Sell) as of 20 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 Tri-tet Oscillators and Pearson Correlation. Machine Learning based stock forecast (n+7) for VISAKAIND Visaka Industries Limited as below: Time series to forecast n: 20 May 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impac