I have monthly data of the buying, selling, market cap, trading volume, price earning ratio, dividend yield, x index closing value, y index closing value, total number of transaction for the years between 2009-2019. I want to compare buying with each of the other data columns except selling. I want to compare also selling data with each of the other data columns except buying. To sum up, I want to see if the buying and selling have an effect on the other columns (Market cap, trading volume..)
What I think is that, I first need to do unit root test and then a cointegration test. For the data which doesn't contain unit root, regression analysis should be done. And for the series in between the cointegration is not identified, causality test should be done.
I'm also open to suggestions and other methods.
Hello
We are a group of expert each one has a master degree in Data Sience with more than 9 years of professional experience in R , Eviews , python,SPSS ....
We have a strong background in time series modelling
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