Problem: I have a data set as below -
Comp date time returns
1 12-Aug-97 10:23:38 0.919292648
1 12-Aug-97 10:59:43 0.204139521
1 13-Aug-97 11:03:12 0.31909242
1 14-Aug-97 11:10:02 0.989339371
1 14-Aug-97 11:19:27 0.08394389
1 15-Aug-97 11:56:17 0.481199854
1 16-Aug-97 13:53:45 0.140404929
1 17-Aug-97 10:09:03 0.538569786
2 14-Aug-97 11:43:49 0.427344962
2 14-Aug-97 11:48:32 0.154836294
2 15-Aug-97 14:03:47 0.445415114
2 15-Aug-97 9:38:59 0.696953041
2 15-Aug-97 13:59:23 0.577391987
2 15-Aug-97 9:10:12 0.750949097
2 15-Aug-97 10:22:38 0.077787596
2 15-Aug-97 11:07:57 0.515822161
2 16-Aug-97 11:37:26 0.862673945
2 17-Aug-97 11:42:33 0.400670247
2 19-Aug-97 11:59:34 0.109279307
These are nothing but share price returns for every company at a date and time level. I need to calculate autocorrelation(degree 1) of returns over a period of 10 days for each Comp and date value combination. As you can see, my time series is not continuous, it has breaks for weekends and public holidays. In such cases, if i need to take a 10 day range, I can't use a intnk function as adding 10 days to the date column might include a saturday/sunday for which I don't have data for and hence, my autocorrelation value will be compromised. How do I make this range dynamic?
I found this question Calculating rolling correlations in SAS that I thought might help but then again, there is the same intnx problem.