Hi all! Sashiburi.. Long time no post :)
This time I'm gonna explain briefly about cointegration analysis, which is very useful in many research. This method is kind of regression analysis but under nonstationary condition. Remember, when we regress for example 2 variables with each of them nonstationary, then what we will have is spurious regression, a regression that means nothing. Hence Professor Engle-Granger found out that, I heard both of them got Nobel prize for this, when 2 variables nonstationary but the residual of the regression is stationary then it means that those two variables...