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Bull/Bear Beta strategy

I read about an interesting strategy yesterday in Bloomberg Markets, by Douglas Edler and Jonathan Lin. I can't find a link to it at the moment. Basically run a linear regression (6 months?) on the positive and negative market return days. This gives a bull and a bear beta. The goal is to invest in stocks with positive "convexity", where the bear beta is 1.2. Over the last five years, it seems to have produced a legit 7%+ excess CAGR. When quantopian allows screening over big/consistent universes we can replicate it here!

3 responses

You can run it over 10% of the universe at a time right now. That might be enough for an interesting result. 700-something of the most liquid stocks compares favorably to the DJIA and S&P500 in breadth.

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Okay, perhaps I will try that this weekend, lots of studying to do also though!

@Hawk,
Tried to make a go of this by using zscore on the Betabias factor, as the opt.MaximizeAlpha() function really wants to see +/- numbers around zero.
Added a few more bells and whistles, yet nothing compelling popped up.
Didn't validate the Betabias column, except by inspecting it.
alan