BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
somebody
Lapis Lazuli | Level 10

I would like to calculate returns using PROC EXPAND. I could use just a simple DATA step but I would like to learn more about PROC EXPAND. 

My dataset has 3 columns containing stock, date, and price. I could use the following DATA step:

data stocks;
    set stocks;
    by stock date ;
    return=price/lag(price)-1;
    if first.stock then return=.;
run;

But How do I do  this using PROC EXPAND? in particular, what do I put in the TRANSFORMIN and TRANSFORMOUT ?

Thanks

1 ACCEPTED SOLUTION

Accepted Solutions
learsaas
Quartz | Level 8
proc sort data=stocks;
	by stock date;
run;
proc expand data=stocks out=result(drop=time);
	by stock;
	 convert price=return / transformout=( ratio 1 -1);
run;

View solution in original post

3 REPLIES 3
learsaas
Quartz | Level 8
proc sort data=stocks;
	by stock date;
run;
proc expand data=stocks out=result(drop=time);
	by stock;
	 convert price=return / transformout=( ratio 1 -1);
run;
somebody
Lapis Lazuli | Level 10

Thanks. just to confirm if I understand the code correctly, 

transformout=( ratio 1 -1)

means getting the ratio of the current value over lag 1 and then minus 1 to get the return right? So, say if I want to get returns between now and 4 periods ago, it should be:

transformout=( ratio 4 -1)

 Am I correct?

hackathon24-white-horiz.png

The 2025 SAS Hackathon Kicks Off on June 11!

Watch the live Hackathon Kickoff to get all the essential information about the SAS Hackathon—including how to join, how to participate, and expert tips for success.

YouTube LinkedIn

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 3 replies
  • 1335 views
  • 2 likes
  • 2 in conversation