When estimating process on financial time series, the usual method is to postulate the equations for the process and to estimate the parameter values for each time series. The implicit assumption is that the equations are universal (i.e. identical for all assets), while the parameters are...

In this paper we show how an Institute of Higher Education can predict future MBA students for targeted advertising by analysing Google query data. We extract normalized query data from Google trends and compute correlations of time shifted time series. We then conclude that highly correlated...