I use historical prices to compute returns and cumulative returns as follows.
data ko(drop=dummy);
infile 'https://query1.finance.yahoo.com/v7/finance/download/ko?
period1=-9999999999&period2=9999999999' url firstobs=2 dsd truncover;
input date yymmdd10. +1 (4*dummy)(:$1.) ko;
return=ko/lag(ko);
run;
proc expand method=none out=ko;
id date;
convert return=cumulative/tout=(cuprod);
run;And I wanted to shorten the code using retain as follows but failed.
data ko(drop=dummy);
infile 'https://query1.finance.yahoo.com/v7/finance/download/ko?
period1=-9999999999&period2=9999999999' url firstobs=2 dsd truncover;
input date yymmdd10. +1 (4*dummy)(:$1.) ko;
retain cumulative 1;
cumulative=cumulative*ko/lag(ko);
run;I found that cumulative without /lag(ko) recursively multiplies the historical ko values but the /lag(ko) makes everything missing. What am I doing wrong here?
Updated: This is not the best but what I found.
data ko2(drop=dummy);
infile 'https://query1.finance.yahoo.com/v7/finance/download/ko?
period1=-9999999999&period2=9999999999' url firstobs=2 dsd truncover;
input date yymmdd10. +1 (4*dummy)(:$1.) ko;
retain cumulative;
cumulative=ifn(lag(ko)>.,cumulative*ko/lag(ko),1);
run;
By combining the steps you ignored the function of PROC EXPAND
and you got missing value because the variable - cumulative - was not calculated and is missing value.
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and save with the early bird rate—just $795!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.