ac investment research

QABA First Trust NASDAQ ABA Community Bank Index Fund Stock Forecast (9% Forecasted Return)



When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume the debt will need to be repaid/refinanced on the day the put can be first exercised.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 NASDAQ:QABA a Good Stock to Buy?

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 QABA First Trust NASDAQ ABA Community Bank Index Fund stock forecast parameters by: Crystal Oscillators with Beta because free cash flow negative and leverage high (9% Forecasted Return)

NASDAQ:QABA Stock Forecast (Buy or Sell) as of 16 Jun 2022 for (n+4 weeks)

Stock: QABA First Trust NASDAQ ABA Community Bank Index Fund

Time series to forecast n: 16 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.

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