Dear All,
I am trying to determine the cross correlation between two different time
series of data which is collected based on different sampling frequency. i.e
(daily data and intraday day).
When I plot this data I can clearly see that there is one series lags
another, BUT in terms of quantify
Dear R users,
I am trying to use tseries' garch function in order to determine the
volatility of a return series generated by quantmod. Here is the code that I
am using:
> library(quantmod)
> getSymbols("AAPL")
convert daily closing prices into continuous log returns
> dret<-dailyReturn(AAPL,ty
Hello everyone,
I am trying to import all of the csv files from a particular folder and then
run cross correlations on each of them. i.e In the end have a matrix like
structure with cross correlations.
So far I have been able to import all of the data and run the ccf's but I
need a way to store
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