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 PM Philip Morris International Inc stock forecast parameters by: Envelope (ENV) with Multiple Regression
PM Philip Morris International Inc Stock Forecast (Buy or Sell) as of 23 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 Envelope (ENV) and Multiple Regression. Machine Learning based stock forecast (n+3m) for PM Philip Morris International Inc as below:Time series to forecast n: 23 May 2022 for (n+3m)
y axis:Potential Impact %
z axis:Color (yellow to green) Technical Analysis %
