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TREE CAMBIUM GLOBAL TIMBERLAND LD Stock Forecast (19% Forecasted Return)

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.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 LON:TREE a Good Stock to Buy?

For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. We estimate TREE CAMBIUM GLOBAL TIMBERLAND LD stock forecast parameters by: FS with Polynomial Regression because of normalized loss rates using default and transition studies for corporate, sovereign, and financial institutions exposures and our assessment of long-term average annualized through-the-cycle expected losses informed by historical losses for retail and personal exposures. This normalized, through-the-cycle loss estimate is more conservative than an expected loss calculation based on a shorter time horizon, which might exclude periods of recession (19% Forecasted Return)

LON:TREE Stock Forecast (Buy or Sell) as of 16 Jun 2022 for (n+16 weeks)


Time series to forecast n: 16 Jun 2022 for (n+16 weeks)

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

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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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