Cross-correlation

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Emily89
Posts: 8
Joined: Mon Jun 17, 2013 8:36 am

Cross-correlation

Postby Emily89 » Thu Jul 25, 2013 3:36 am

I am running two different variables in EViews using the Cross-Correlogram function.I want to know how this function can tell whether the first variable is a leading indicator of the second variable. Could any one explain the following result? Really appreciate the help!

Date: 07/25/13 Time: 11:18
Sample: 1990M01 2007M12
Included observations: 215
Correlations are asymptotically consistent approximations

X,Y(-i) X,Y(+i) i lag lead
.|. | .|. | 0 -0.0042 -0.0042
.|* | .|* | 1 0.1246 0.1244
.|. | **|. | 2 0.0423 -0.1493
*|. | .|* | 3 -0.0542 0.1253
*|. | .|. | 4 -0.0423 0.0185
.|* | .|. | 5 0.0936 -0.0157
*|. | .|* | 6 -0.0953 0.0823







I don't understand why the longest lag occur at i=2 is negative..what does it mean?

Nalvarino
Posts: 1
Joined: Tue Dec 03, 2013 12:51 pm

Re: Cross-correlation

Postby Nalvarino » Thu Dec 12, 2013 9:04 am

Read the EViews User Guide I, chapter 12, pag. 422 (or if you have another version maybe it is in another page). In short, you would need to look at the positive lags to see if x is a leading indicator of y and the negative lags if you think that y is a leading indicator of x. At least that's what I get by watching the formula on the guide.

trubador
Did you use forum search?
Posts: 1520
Joined: Thu Nov 20, 2008 12:04 pm

Re: Cross-correlation

Postby trubador » Thu Dec 12, 2013 12:40 pm



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