ac investment research

MYJ Blackrock MuniYield New Jersey Fund Stock Forecast (20% Forecasted Return)



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.If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity.

Is NYSE:MYJ a Good Stock to Buy?

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 MYJ Blackrock MuniYield New Jersey Fund stock forecast parameters by: Price Channels with Logistic Regression because business model transition (20% Forecasted Return)

NYSE:MYJ Stock Forecast (Buy or Sell) as of 15 Jun 2022 for (n+4 weeks)

Stock: MYJ Blackrock MuniYield New Jersey Fund

Time series to forecast n: 15 Jun 2022 for (n+4 weeks)

x axis:Likelihood %
y axis:Potential Impact %
z axis:Color (yellow to green) Technical Analysis %




AC Investment Research

In our experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.

301 Massachusetts Avenue Cambridge, MA 02139 667-253-1000 pr@ademcetinkaya.com