I just performed a Johansen Co-integration test on two stocks.
The results I get are:
ans =
r0 r1
t1 true false
I am using Matlab. Can someone interpret these for me?
If I have understood the test properly, they are a good correlated pair. With Mean reversion.
Are they mean reverting?
Also, I have read about stationary pairs but the technical definition is a bit confusing. If possible can someone help point me in the direction to a simpler explanation? Or may be a book to start off?
Did the test again with the following result:
>> [h,pValue,stat,cValue,mles] = jcitest(Y)
Results Summary (Test 1)
Data: Y
Effective sample size: 229
Model: H1
Lags: 0
Statistic: trace
Significance level: 0.05
r h stat cValue pValue eigVal
========================================
0 0 9.6981 15.4948 0.3467 0.0411
1 0 0.0979 3.8415 0.7872 0.0004
h =
r0 r1
t1 false false
pValue =
r0 r1
t1 0.34672 0.78721
stat =
r0 r1
t1 9.6981 0.097852
cValue =
r0 r1
t1 15.495 3.8415
mles =
r0 r1
t1 [1x1 struct] [1x1 struct]
I am trying to understand whether h=0 implies no cointegration? What exactly does the pValue tell us?
In short still trying to understand how exactly to interpret the results.
I will get onto generating the eigenvalues. And trying to understand them after this part gets clear.
I don't have the advantage of attending school at the moment and understanding this is very difficult.