Abstract
The purpose of this study is to present a global uni-variate forecasting model, which runs on the basis of a series of data points acquired periodically for each unit observed. The examples of units that we will be using in this article may come from any type of population: companies, bank accounts, distribution outlets, and so on, depending on the approach used: general economic studies by the public sector, marketing and financial analyses by private companies, banks and other trade sectors. Note that the basic hypotheses of the forecasting model are universal enough to be used in a wide range of applications. One mandatory condition for the model to run properly is that each individual unit being studied be given only one permanent identifying number. Individual data can be chosen among a broad range of quantitative variables, such as number of employees, salaries, revenues, profits, account balances, sold quantities, etc., but are not limited to them. We will call "y" the variable representing any possible variable in the applications.
