Mubin Khwaja
New Member
Hello!
I am doing commodity price forecasting, and I have data of daily prices from April 2012- April 2014.
The problem i’m having is (1) There are some daily data values missing, and (2) after I have dealt with the missing values (using smoothing), i have a problem calculating the seasonal indices because there are different numbers of working days in each month. some months have 23 days, some 21, some 20. because of the differing number of days, I cannot successfully calculate the seasonal effect. how do i tackle this problem?
P.S. I’m fairly new to excel, so please be gentle
I am doing commodity price forecasting, and I have data of daily prices from April 2012- April 2014.
The problem i’m having is (1) There are some daily data values missing, and (2) after I have dealt with the missing values (using smoothing), i have a problem calculating the seasonal indices because there are different numbers of working days in each month. some months have 23 days, some 21, some 20. because of the differing number of days, I cannot successfully calculate the seasonal effect. how do i tackle this problem?
P.S. I’m fairly new to excel, so please be gentle