Quote from acrary:
What if you have a trading model that trades stocks in the Nasdaq? Would it be appropriate to keep that as one model? Or possibly break the stocks into their perspective sectors and have numerous sector models where you could use your correlation and weighted designs to add each sector model only if improvement is made to overall return and risk?
You could use it either way. Instead of looking for many non-correlated models/markets you could just do pairs trading based on two non-correlated models for each security, basket of securities, or market sector. If you had 10 sectors you could then give 10% to each pair and recalculate the pool every so often or you could take the results from the 10 sector pairs and run them through the weighting test to see how much each should get from the pool and allocate funds to each after every trade. [/B]
Acrary, your response is greatly appreciated.
I am having some problems understanding your meaning of pair trading two non-correlated models for each security, basket, or sector. Do you mean just matching two models up for each sector with your correlation studies or are you referring to something else entirely? I'm probably reading too much into this.
Just to give an update, I finally got around to testing my original model against the idea of breaking into various sector models. The results were encouraging. Tests were based on the following:
1) Set A: Picked several sectors that enjoyed three consecutive years of profitability.
2) Set B: Picked a matching number of sectors that did not achieve three years of profits.
3) Universal Set: combination of Set A and B to test whether breaking into sectors is valid.
Ran tests on the model for the following two years on Set A and profits/drawdown were improved from the Universal Set. Tests on Set B showed profits/drawdowns worse than Universal Set and Set A.
Ran these tests against a few different year and sector combinations and again results were encouraging.
While these tests proved useful I won't rely too much on the results since most sectors experienced annual profits and thus didn't give me enough bad sectors to test with. I'll next work on scaling down into Monthly performance figures to really begin testing this idea.
If results stay encouraging...I'll begin testing the addition of these sector models into the overall model portfolio via your correlation ideas.
Thanks again for sharing your process. Can't wait to see the research platform you mentioned.