ac investment research

GETB GETBUSY PLC Stock Forecast (4% Forecasted Return)



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 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.

Is LON:GETB a Good Stock to Buy?

The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. We estimate GETB GETBUSY PLC stock forecast parameters by: Price Oscillator (PPO) with Independent T-Test because negative outlook reflects low visibility over the company's deleveraging in the next 12 months (4% Forecasted Return)

LON:GETB Stock Forecast (Buy or Sell) as of 15 Jun 2022 for (n+3 month)

Stock: GETB GETBUSY PLC

Time series to forecast n: 15 Jun 2022 for (n+3 month)

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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