On Tue, 27 Jul 2010, Farmer, Jesse wrote:

> I am doing a test for cointegration across 5 time-series variables.
> I've run the test but I am not sure how to interpret the output.  Could
> someone tell me if my data is exhibiting cointegration, and if so, how
> did you determine that?  I realize this is a n00b question, so apologies
> in advance.
>
> Thanks!
>
> My output below:

[output edited for brevity]

> Step 1: testing for a unit root in Var1
>
> Augmented Dickey-Fuller test for Var1
> including 5 lags of (1-L)api2
> sample size 517
> unit-root null hypothesis: a = 1
>    asymptotic p-value 0.7144

Large p-value: unit root not rejected for Var1.

> Step 2: testing for a unit root in Var2
>
> Augmented Dickey-Fuller test for Var2
>    asymptotic p-value 0.8656

Nor for Var2.

> Step 3: testing for a unit root in Var3
>
> Augmented Dickey-Fuller test for Var3
>    asymptotic p-value 0.8819

Nor for Var3.

> Step 4: testing for a unit root in Var4
>
> Augmented Dickey-Fuller test for Var4
>    asymptotic p-value 0.9016

Var4 the same.

> Step 5: testing for a unit root in Var5
>
> Augmented Dickey-Fuller test for Var5
>    asymptotic p-value 0.7369

And Var5 the same. It's possible to conclude that all 5 series are
non-stationary (have unit roots) considered individually, based on
these tests. Now...

> Step 6: cointegrating regression
>
> Cointegrating regression -
> OLS, using observations 2008/01/02-2010/01/01 (T = 523)
> Dependent variable: api2
>
>              coefficient   std. error   t-ratio    p-value
>   ---------------------------------------------------------
>   const      -35.8323      1.81277      -19.77    3.20e-065 ***
>   base         1.58498     0.321094       4.936   1.08e-06  ***
>   peak        -0.701765    0.225461      -3.113   0.0020    ***
>   nbp          0.848089    0.0617052     13.74    7.18e-037 ***
>   brent        0.686534    0.0279061     24.60    4.14e-089 ***
>
> Step 7: testing for a unit root in uhat
>
> Augmented Dickey-Fuller test for uhat
>    asymptotic p-value 0.2762

The p-value here is smaller than for the individual series, but
still not very small. For clear evidence of cointegration you're
looking for a fairly decisive rejection of the unit-root null at
this point (say, a p-value less than .05), but you ain't got it!

You might try the Johansen procedure (gretl's "coint2" command)
and see if that tells you anything different.

Allin Cottrell

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