Hi,
I work with the below sample of (intraday) high freequency stock data:
sample:
STOCK DATE TIME PRICE VOLUME
ETE 22082011 11301514 05.21 500
ETE 22082011 11301713 06.51 1000
ETE 22082011 11311517 07.11 500
ETE 22082011 11321514 06.31 1000
I need to create new time series of stock returns (defined as Rt= ln(Pt/Pt-1)) for multiple time scales, i.e 3-min returns, 5-min returns,…, up to 180-min returns.
However the totalsize of the data is huge ( almost 9 mil observations).
Could someone suggest a time-efficient method of create these time series.
Many Thanks in advance
Panos,
PS: The column TIME indicates hour/minute/seconds/millisecs with observations being even at the same millisecond
Best Answer