Help with importing cross section constant data
Posted: Mon Nov 28, 2011 8:35 am
Hi all,
So I have one massive dataset consisting of option valuations. Each entry has greeks, stats, and prices for a strike/expiry/day combination sold on a given day for all combinations available on that given day. This is thus a massive data set with about 800 entries per day over a year, or about 203000 data points total. As a workfile, it is organized by using expiry and strike price as cross sections, and the date for the time series.
I also have multiple smaller datasets consisting of high, low, open, and close prices for the stocks such that each data set focuses on a single stock and has one entry per day over the same time period as the options data, with a total of 254 entries per set. I have ensured that the date formatting matches exactly with the date series for the options data set.
Is there a way to import these smaller sets such that eviews will associate their data with each data point with a matching date, regardless of strikes and expiries? Thus it would expand these smaller series across all 203000 data points with the same exact data for every point with a matching date?
Looking at previously compiled data, it appears that my predecessor either figured out such a way or he must have edited his smaller data sets to contain all the recurring points for all strike/date/expiry combinations. The latter would be extremely time consuming
So I have one massive dataset consisting of option valuations. Each entry has greeks, stats, and prices for a strike/expiry/day combination sold on a given day for all combinations available on that given day. This is thus a massive data set with about 800 entries per day over a year, or about 203000 data points total. As a workfile, it is organized by using expiry and strike price as cross sections, and the date for the time series.
I also have multiple smaller datasets consisting of high, low, open, and close prices for the stocks such that each data set focuses on a single stock and has one entry per day over the same time period as the options data, with a total of 254 entries per set. I have ensured that the date formatting matches exactly with the date series for the options data set.
Is there a way to import these smaller sets such that eviews will associate their data with each data point with a matching date, regardless of strikes and expiries? Thus it would expand these smaller series across all 203000 data points with the same exact data for every point with a matching date?
Looking at previously compiled data, it appears that my predecessor either figured out such a way or he must have edited his smaller data sets to contain all the recurring points for all strike/date/expiry combinations. The latter would be extremely time consuming