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Suppose I have a basket of 3 securities A, B, and C. I believe that the basket is cointegrated and I want to create a mean-reverting trade. I fit the model: $\log(A)=\beta_b*\log(B)+\beta_c*\log(C)+\alpha$ where A, B, and C are the prices of the securities.

This gives me estimates of $\alpha$, $\beta_b$ and $\beta_c$.

Now suppose that I believe that the spread is out of line. I want to sell \$1 of A and buy \$1 of the B and C basket. How should I allocate that dollar to B and C? Is it simply $\beta_b*\$1$ units of B and $\beta_c*\$1$ units of C or is it more complex?

Related, is it more correct to regress log prices or raw prices when fitting the model?

(I know that this is related to How to build a mean reverting basket? but the answers there weren't very detailed and this is a more specific question).

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  • $\begingroup$ You generally regress returns, not prices... $\endgroup$ – assylias May 2 '13 at 21:39
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    $\begingroup$ The classic pairs trading paper Gatev & Goetzmann 2006 regresses prices $\endgroup$ – Thomas Johnson May 2 '13 at 22:46
  • $\begingroup$ Can get it out with a mass simulation if you can't figure it out. $\endgroup$ – user2763361 Nov 18 '13 at 12:42
  • $\begingroup$ quant.stackexchange.com/questions/21994/… $\endgroup$ – LazyCat Dec 25 '16 at 3:16
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In a recent paper - Cointegration and Relative Value Arbitrage by Binh Do and Robert Faff, the issue of relative value arbitrage with three stocks is addressed. On page 27 they formulate the cointegrating relation similarly to how you did: $$\ p_{1t} = \alpha + \gamma p_{2t} + \beta p_{3t} + \epsilon_t$$

They also say that the dollar weights of the asset should satisfy the following equations:

$$ w_1/w_2 = p_{1t}/-\gamma p_{2t} $$ $$ w_1/w_3 = p_{1t}/-\beta p_{3t} $$ $$ |w_1| + |w_2| + |w_3| = 2 $$

Hope this helps.

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