  The present work constitutes the second part of a two-paper project that, in
particular, deals with an in-depth study of effective techniques used in
econometrics in order to make accurate forecasts in the concrete framework of
one of the major economies of the most productive Italian area, namely the
province of Verona. It is worth mentioning that this region is indubitably
recognized as the core of the commercial engine of the whole Italian country.
This is why our analysis has a concrete impact; it is based on real data, and
this is also the reason why particular attention has been taken in treating the
relevant economical data and in choosing the right methods to manage them to
obtain good forecasts. In particular, we develop an approach mainly based on
vector autoregression where lagged values of two or more variables are
considered, Granger causality, and the stochastic trend approach useful to work
with the cointegration phenomenon.
