Cointegration Residuals and Ratio Pair Trading

# Cointegration and Ratio Pair Trading


# Cointegration and Ratio Pair Trading












I'm having some confusion doing Engle-Granger Cointegration test and then trade the ratio.

Methodology:

- Run an OLS fit for A and B price time series without a constant. Therefore, $\hat{Y} = \gamma \cdot P_b + e$ where $\hat{Y}$ is the estimated stock A price and $P_b$ the price of stock B. The coefficient $\gamma$ would be the hedge ratio. Note that $e$ should have mean of 0 as white noise.

- Get the residuals $S_t$ which is $Y - \hat{Y} = P_a - \gamma \cdot P_b = S_t $

- Run ADF test over the $S_t$ series to determine if series are cointegrated.

If they are in fact cointegrated, how should the trades be made?

- Compute the real ratio between the stock A and B prices $P_a/P_b$

- Go long $1 \cdot A$ and short $\gamma \cdot B$? And viceversa if the signal is go short.

If I want to trade the spread, should I model the OLS as $ln(A) = -\gamma\cdot ln(B) + e $ ?

Thanks guys

## Answer by numerairX (score 1)

https://quant.stackexchange.com/a/42922

> If I want to trade the spread, should I model the OLS as $ln(A)=−γ⋅ln(B)+ \epsilon$?

It depends on how you define your spread. If you used log return as spread then use log return in OLS also. If you use price diff as spread then use price in OLS.

## Answer by Varun (score 1)

https://quant.stackexchange.com/a/43836

No. In the above equation, you mentioned the spread as the ratio of prices and not of log prices. Also, you verified the spread's cointegration using $A - \gamma \cdot B$ and not $A/B$ as the input for the ADF test, so you cannot use $ln(A)-ln(B)$. If you do this, it means you want to check the spread $Pa/Pb$ for cointegration.

So, if you want to trade the spread do this:

- Calculate the difference $Pa-(\gamma \cdot Pb)$ at every time period on the test/simulation data

- Whenever the spread exceeds the upper or lower Bollinger band you sell or buy the spread respectively.

And you stack your buy and sell orders arithmetically. Meaning you buy 1 lot on $A$ and sell $\gamma$ on $B$ when the spread crosses first standard deviation. When it crosses second standard deviation you buy 2 lots on $A$ and sell $2\cdot \gamma$ on $B$.