Skip to main content

Posts

Showing posts from May 23, 2022

NYSE:BQH Stock Forecast, Price Targets (Buy or Sell) | BQH Blackrock New York Municipal Bond Trust Analyst Ratings

In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. We estimate BQH Blackrock New York Municipal Bond Trust stock forecast parameters by: Royer Oscillators with Independent T-Test BQH Blackrock New York Municipal Bond Trust Stock Forecast (Buy or Sell) as of 24 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 Royer Oscillators and Independent T-Test. Machine Learning based stock forecast (n+15) for BQH Blackrock New York Municipal Bond Trust as below: Time series to forecast n: 24 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 %

NASDAQ:ONEQ Stock Forecast, Price Targets (Buy or Sell) | ONEQ Fidelity Nasdaq Composite Index Tracking Stock Analyst Ratings

For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). We estimate ONEQ Fidelity Nasdaq Composite Index Tracking Stock stock forecast parameters by: Money Flow Index (MFI) with Factor ONEQ Fidelity Nasdaq Composite Index Tracking Stock Stock Forecast (Buy or Sell) as of 24 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 Money Flow Index (MFI) and Factor. Machine Learning based stock forecast (n+1y) for ONEQ Fidelity Nasdaq Composite Index Tracking Stock as below

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

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 IOM IOMART GROUP PLC stock forecast parameters by: Chaikin Oscillator with Sign Test IOM IOMART GROUP PLC Stock Forecast (Buy or Sell) as of 24 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 Ch

NASDAQ:PRPH Stock Forecast, Price Targets (Buy or Sell) | PRPH ProPhase Labs Analyst Ratings

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 PRPH ProPhase Labs stock forecast parameters by: Price Channels with Linear Regression PRPH ProPhase Labs Stock Forecast (Buy or Sell) as of 24 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 Price Channels and Linear Regression. Machine

NASDAQ:VRAY Stock Forecast, Price Targets (Buy or Sell) | VRAY ViewRay Analyst Ratings

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 VRAY ViewRay stock forecast parameters by: Pierce Oscillators with Factor VRAY ViewRay Stock Forecast (Buy or Sell) as of 24 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 Pierce Oscillators and Factor. Machine Learning based stock forecast (n+6m) for VRAY ViewRay as below: Time series to forecast n: 24 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 %

NASDAQ:GAINL Stock Forecast, Price Targets (Buy or Sell) | GAINL Gladstone Investment Corporation 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 GAINL Gladstone Investment Corporation stock forecast parameters by: Chaikin Oscillator with Linear Regression GAINL Gladstone Investment Corporation Stock Forecast (Buy or Sell) as of 24 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 Chaikin Oscillator and Linear Regression.

NYSE:COG Stock Forecast, Price Targets (Buy or Sell) | COG Cabot Oil & Gas Corporation 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 COG Cabot Oil & Gas Corporation stock forecast parameters by: Triple Exponential Moving Average (TRIX) with Multiple Regression COG Cabot Oil & Gas Corporation Stock Forecast (Buy or Sell) as of 24 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 Triple Exponential Moving Average (TRIX) and Multiple Regression. Machine Learning based stock forecast (n+15) for COG Cabot Oil & Gas Corporation as below: Time series to forecast n: 24 May 2022 for (n+15) How Does Forecast Model Work? x ax

NASDAQ:DRIO Stock Forecast, Price Targets (Buy or Sell) | DRIO DarioHealth Corp. 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 DRIO DarioHealth Corp. stock forecast parameters by: Moving Average Convergence Divergence (MACD) with Polynomial Regression DRIO DarioHealth Corp. Stock Forecast (Buy or Sell) as of 24 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) an

NSE:APEX Stock Forecast, Price Targets (Buy or Sell) | APEX Apex Frozen Foods Limited 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 APEX Apex Frozen Foods Limited stock forecast parameters by: Adaptive Moving Average with Stepwise Regression APEX Apex Frozen Foods Limited Stock Forecast (Buy or Sell) as of 24 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 Adaptive Moving Average and

NSE:PSL Stock Forecast, Price Targets (Buy or Sell) | PSL PSL Limited Analyst Ratings

For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through our assumption of peak CP amount. We estimate PSL PSL Limited stock forecast parameters by: SMoothed Moving Average (SMMA) with Beta PSL PSL Limited Stock Forecast (Buy or Sell) as of 24 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 SMoothed Moving Average (SMMA) and Beta. Machine Learning based stock forecast (n+30) for PSL PSL Limited as below: Time series to forecast n: 24 May 2022 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z ax

NSE:KRBL Stock Forecast, Price Targets (Buy or Sell) | KRBL KRBL Limited Analyst Ratings

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 KRBL KRBL Limited stock forecast parameters by: Running Moving Average (RMA) with Pearson Correlation KRBL KRBL Limited Stock Forecast (Buy or Sell) as of 24 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 Running Moving Average (RMA) and Pearson Correlation. Machine Learning based stock forecast (n+3m) for KRBL KRBL Limited as below: Time series to forecast n: 24 May 2022 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to gree

LON:HAT Stock Forecast, Price Targets (Buy or Sell) | HAT H&T GROUP PLC Analyst Ratings

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 HAT H&T GROUP PLC stock forecast parameters by: Price Channels with ANOVA HAT H&T GROUP PLC Stock Forecast (Buy or Sell) as of 24 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 Price Channels and ANOVA. Machine Learning based stock forecast (n+15) for HAT H&T GROUP PLC as below: Time series to forecast n: 24 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 %

LON:CMHY Stock Forecast, Price Targets (Buy or Sell) | CMHY CITY MERCHANTS HIGH YIELD TRUST LTD Analyst Ratings

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 CMHY CITY MERCHANTS HIGH YIELD TRUST LTD stock forecast parameters by: Relative Strength Index (RSI) with Factor CMHY CITY MERCHANTS HIGH YIELD TRUST LTD Stock Forecast (Buy or Sell) as of 24 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 Relative Strength Index (RSI) and Factor. Machine Learning based stock forecast (n+3m) for CMHY CITY MERCHANTS HIGH YIELD TRUST LTD as below: Time series to forecast n: 24 May 2022 for (n+3m) How Does Forecast Model Work? x axis:Likel