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Showing posts from June 1, 2022

LON:TM17 Stock Forecast, Price Targets (Buy or Sell) | TM17 TEAM17 GROUP PLC Analyst Ratings

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 TM17 TEAM17 GROUP PLC stock forecast parameters by: Volume with Simple Regression TM17 TEAM17 GROUP PLC Stock Forecast (Buy or Sell) as of 02 Jun 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 Simple Regression. Machine Learning based stock forecast (n+30) for TM17 TEAM17

NYSE:SPB Stock Forecast, Price Targets (Buy or Sell) | SPB Spectrum Brands Holdings Analyst Ratings

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 SPB Spectrum Brands Holdings stock forecast parameters by: On Balance Volume (OBV) with Linear Regression SPB Spectrum Brands Holdings Stock Forecast (Buy or Sell) as of 02 Jun 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 On Balance Volume (OBV) and Linear Regression. Machine Learning based stock forecast (n+7) for SPB Spectrum Brands Holdings as below: Time series to forecast n: 02 Jun 2022 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potentia

NASDAQ:VCSH Stock Forecast, Price Targets (Buy or Sell) | VCSH Vanguard Short Analyst Ratings

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 VCSH Vanguard Short stock forecast parameters by: Heikin-Ashi with Polynomial Regression VCSH Vanguard Short Stock Forecast (Buy or Sell) as of 02 Jun 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 Heikin-Ashi and Polynomial Regression. Machine Learning based stock forecast (n+3m) for VCSH Vanguard Short as below: Time series to forecast n: 02 Jun 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

NYSE:THS Stock Forecast, Price Targets (Buy or Sell) | THS Treehouse Foods Analyst Ratings

We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. We estimate THS Treehouse Foods stock forecast parameters by: Clapp Oscillators with Wilcoxon Sign-Rank Test THS Treehouse Foods Stock Forecast (Buy or Sell) as of 02 Jun 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 Clapp Oscillators and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+30) for THS Treehouse Foods as below: Time series

LON:CTY Stock Forecast, Price Targets (Buy or Sell) | CTY CITY OF LONDON INVESTMENT TRUST PLC Analyst Ratings

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. We estimate CTY CITY OF LONDON INVESTMENT TRUST PLC stock forecast parameters by: Cross-Coupled Oscillators with Wilcoxon Rank-Sum Test CTY CITY OF LONDON INVESTMENT TRUST PLC Stock Forecast (Buy or Sell) as of 02 Jun 2022 for (n+7) Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine

NYSE:NCZ Stock Forecast, Price Targets (Buy or Sell) | NCZ AllianzGI Convertible & Income Fund II Analyst Ratings

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 NCZ AllianzGI Convertible & Income Fund II stock forecast parameters by: Sustainability with Factor NCZ AllianzGI Convertible & Income Fund II Stock Forecast (Buy or Sell) as of 02 Jun 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 Sustainability and Factor. Machine Learning based stock forecast (n+15) for NCZ AllianzGI Convertible & Inco

LON:MERI Stock Forecast, Price Targets (Buy or Sell) | MERI MERIAN CHRYSALIS INVESTMENT COMPANY Analyst Ratings

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 MERI MERIAN CHRYSALIS INVESTMENT COMPANY stock forecast parameters by: RRS with Beta MERI MERIAN CHRYSALIS INVESTMENT COMPANY Stock Forecast (Buy or Sell) as of 02 Jun 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 RRS and Beta. Machine Learning based stock forecast (n+15) for ME

NASDAQ:FID Stock Forecast, Price Targets (Buy or Sell) | FID First Trust S&P International Dividend Aristocrats ETF Analyst Ratings

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 FID First Trust S&P International Dividend Aristocrats ETF stock forecast parameters by: Stochastic Oscillator with Sign Test FID First Trust S&P International Dividend Aristocrats ETF Stock Forecast (Buy or Sell) as of 02 Jun 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 Stochastic Oscillator and Sign Test. Machine Learning based stock forecast (n+15) for FID First Trust S&P International Dividend Aristocrats ETF as below: Time series to forecast n: 02 Jun 202

NYSE:IBA Stock Forecast, Price Targets (Buy or Sell) | IBA Industrias Bachoco Analyst Ratings

To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. We estimate IBA Industrias Bachoco stock forecast parameters by: Average True Range (ATR) with Paired T-Test IBA Industrias Bachoco Stock Forecast (Buy or Sell) as of 02 Jun 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 Average True Range (ATR) and Paired T-Test. Machine Learning based stock forecast (n+30) for I

LON:HLCL Stock Forecast, Price Targets (Buy or Sell) | HLCL HELICAL PLC Analyst Ratings

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 HLCL HELICAL PLC stock forecast parameters by: Trend with Logistic Regression HLCL HELICAL PLC Stock Forecast (Buy or Sell) as of 02 Jun 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 Trend and Logistic Regression. Machine Learning based stock forecast (n+30) for HLCL HELICAL PLC as below: Time series to forecast n: 02 Jun 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis %

LON:PTEC Stock Forecast, Price Targets (Buy or Sell) | PTEC PLAYTECH PLC Analyst Ratings

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. We estimate PTEC PLAYTECH PLC stock forecast parameters by: Pearson-Anson Oscillators with Ridge Regression PTEC PLAYTECH PLC Stock Forecast (Buy or Sell) as of 02 Jun 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 Pearson-

NASDAQ:CALA Stock Forecast, Price Targets (Buy or Sell) | CALA Calithera Biosciences Analyst Ratings

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 CALA Calithera Biosciences stock forecast parameters by: EMR with Linear Regression CALA Calithera Biosciences Stock Forecast (Buy or Sell) as of 02 Jun 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 EMR and Linear Regression. Machine Learning based stock fo

NASDAQ:EDIT Stock Forecast, Price Targets (Buy or Sell) | EDIT Editas Medicine Analyst Ratings

Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. We estimate EDIT Editas Medicine stock forecast parameters by: SMoothed Moving Average (SMMA) with ANOVA EDIT Editas Medicine Stock Forecast (Buy or Sell) as of 02 Jun 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 SMoothed Moving Average (