- Joined
- 26 April 2009
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skc,
Sorry must have missed this comment earlier.
Based on the definitions below I see what you mean about co-integration being more important.
Co-integration
- The likelihood that, when two stocks deviate in valuation, they will revert to the mean
Correlation
-The measure of how two securities move in relation to one another
But I cant see how Correlation is a proxy for co-integration ... surely they 2 different things. Wouldn't it be better to have Co-integration also included in pairtrade finder and have the ability to filter by that.
sleepy
My :
1. Statistically the two are two different properties of time series analysis
2. In terms of pair trading, the key difference is that mean reversion is part of the co-integration definition, while with correlation you are relying on the back test result as a proxy of the statistical test for mean reversion
3. Co-integration pair trading is a much more computation intensive process than correlation + back test
4. The Correlation + back test approach (PTF) trades dollar neutral, co-integration will depend on the co-integration coefficient, and more often than not it won't be
Some simple ideas behind co-integration pair trading:
1. Find the co-integration coefficient
2. Find the co-integration period
3. Test for stationarity (mean reversion)
4. Once a co-integrated pair is found, make sure the stationarity holds over time
1. is rather simple (a regression exercise) and it's really 2 and 3 (and somewhat 4) that is time consuming and repetitive, and even with a decent computer it might take a good while to do for just one pair. I think that would make it difficult to throw a few hundreds of pairs at it as PTF.