[R-SIG-Finance] Estimating co-integration factors of two time series
Pete Brecknock
Peter.Brecknock at bp.com
Tue Oct 25 19:10:30 CEST 2011
Russell Bowdrey wrote:
>
> So, there appear to be many, many routines for testing for unit roots or
> hypothesis tests on co integration (ca.jo, ca.po etc) - but I've yet to
> find a means of estimating the degree of co-integration between two time
> series.
>
> IT could be that I'm going about this the wrong way (or looking for the
> wrong technique), so here is my problem (which I thought was common and
> had been solved...):
>
> I want to measure the degree of co-movement between two assets or rates.
> For example the yield on a bond and the corresponding risk-free rate.
>
> Of course I could just look at Pearson/Spearman/Kendal correlation between
> the time series, but I believe that ignores time and so path dependence -
> which I think is important. Hence thinking about cointegration.
>
> Any thoughts?
>
>
> This email and any attachments are confidential and inte...{{dropped:30}}
>
> _______________________________________________
> R-SIG-Finance@ mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> -- Subscriber-posting only. If you want to post, subscribe first.
> -- Also note that this is not the r-help list where general R questions
> should go.
>
Perhaps Paul Teetor's example at
http://quanttrader.info/public/testForCoint.html maybe useful
HTH
Pete
--
View this message in context: http://r.789695.n4.nabble.com/Estimating-co-integration-factors-of-two-time-series-tp3937426p3937455.html
Sent from the Rmetrics mailing list archive at Nabble.com.
More information about the R-SIG-Finance
mailing list