When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. We estimate MRVL Marvell Technology Group Ltd. stock forecast parameters by: Heikin-Ashi with Logistic Regression MRVL Marvell Technology Group Ltd. Stock Forecast (Buy or Sell) as of 28 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 Heikin-Ashi and Logistic Regression. Machine Learning based stock forecast (n+30) for MRVL Marvell Technology Group Ltd. as below: Time series to forecast n: 28 May 2022 for (n+30) 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 RDVT Red Violet stock forecast parameters by: Wien Bridge Oscillator with Spearman Correlation RDVT Red Violet Stock Forecast (Buy or Sell) as of 28 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 Wien Bridge Oscillator and Spearman Correlation. Machine Learning based stock forecast (n+1y) for RDVT Red Violet as below: Time series to forecast n: 28 May 2022 for (n+1y) How Does Forecast Model Work? x axis

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 FGB First Trust Specialty Finance and Financial Opportunities Fund stock forecast parameters by: Money Flow Index (MFI) with Wilcoxon Rank-Sum Test FGB First Trust Specialty Finance and Financial Opportunities Fund Stock Forecast (Buy or Sell) as of 28 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 Money Flow Index (MFI) and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for FGB First Trust Specialty Finance and Financial Opportunities Fund as below: Ti

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 PTGX Protagonist Therapeutics stock forecast parameters by: Stochastic Oscillator with Polynomial Regression PTGX Protagonist Therapeutics Stock Forecast (Buy or Sell) as of 28 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 Polynomial Regression. Machine Learning based stock forecast (n+1y) for PTGX Protagonist Therapeutics as below: Time series to forecast n: 28 May 2022 for (n+1y) How Does Forecast Model Work? x axis:Like

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 SCSC ScanSource stock forecast parameters by: Armstrong Oscillator with Sign Test SCSC ScanSource Stock Forecast (Buy or Sell) as of 28 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 Armstrong Oscillator and Sign Test. Machine Learning based stock forecast (n+30) for SCSC ScanSource as below: Time series to forecast n: 28 May 2022 for (n+30) How Does Fo

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 SWM Schweitzer stock forecast parameters by: KDJ with Sign Test SWM Schweitzer Stock Forecast (Buy or Sell) as of 28 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 KDJ and Sign Test. Machine Learning based stock forecast (n+7) for SWM Schweitzer as below: Time series to forecast n: 28 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 %

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 ESTA Establishment Labs Holdings Inc. stock forecast parameters by: Speculation with Simple Regression ESTA Establishment Labs Holdings Inc. Stock Forecast (Buy or Sell) as of 28 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 Speculation and Simple Regression. Machine Learning based stock forecast (n+6m) for ESTA Establishment Labs Holdings Inc. as below: Time series to forecast n: 28 May 2022 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical

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 MKL Markel Corporation stock forecast parameters by: Robinson Oscillators with Chi-Square MKL Markel Corporation Stock Forecast (Buy or Sell) as of 28 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

In determining how prudent a company's risk management is, we look for evidence that management has historically anticipated potential company-specific or market-related setbacks and has taken necessary actions to ensure sufficient liquidity. We estimate CNS Cohn & Steers Inc stock forecast parameters by: Parabolic SAR (PSAR) with Ridge Regression CNS Cohn & Steers Inc Stock Forecast (Buy or Sell) as of 28 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 Parabolic SAR (PSAR) and Ridge Regression. Machine Learning based stock forecast (n+3m) for CNS Cohn & Steers Inc as below: Time series to forecast n: 28 May 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

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. We estimate DOOR Masonite International Corporation Ordinary Shares (Canada) stock forecast parameters by: Moving Average Convergence Divergence (MACD) with Sign Test DOOR Masonite International Corporation Ordinary Shares (Canada) Stock Forecast (Buy or Sell) as of 28 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 Moving Average Convergence Divergence (MACD) and Sign Test. Machine Learning based stock forecast (n+3m) for DOOR Masonite International Corporation Ordinary Shares (Can

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 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. We estimate RKDL Ravi Kumar Distilleries Limited stock forecast parameters by: Pearson-Anson Oscillators with Multiple Regression RKDL Ravi Kumar Distilleries Limited Stock Forecast (Buy or Sell) as of 28 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

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. We estimate BSD B.S.D CROWN LTD stock forecast parameters by: Triple Exponential Moving Average (TRIX) with ElasticNet Regression BSD B.S.D CROWN LTD Stock Forecast (Buy or Sell) as of 28 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 Triple Exponential Moving Average (TRIX) and ElasticNet Regression. Machine Learning based stock forecast (n+30) for BSD B.S.D CROWN LTD as below: Time series to forecast n: 28 May 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood

In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate PUR PURE GOLD MINING INC. stock forecast parameters by: RC Phase Shift Oscillator with Independent T-Test PUR PURE GOLD MINING INC. Stock Forecast (Buy or Sell) as of 28 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 RC Phase Shift Oscillator and Independent T-Test. Machine Learning based stock forecast (n+7) for PUR PURE GOLD MINING INC. as below: Time series to forecast n: 28 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 %