Turning Correlated Series into a Pairs Trading Signal
Summary
The document asks how to turn a factor that tracks price into buy and sell decisions, using the difference between German and US ten-year yields alongside EUR/USD as an example. One response describes a pairs trading approach: first test whether the series are cointegrated and consider whether an obvious macroeconomic driver explains the observed relationship. Then define a hedge-adjusted spread between the assets and treat deviations from its presumed long-run equilibrium as potential opportunities.
The proposed rule sells the spread and buys the opposing leg when it rises above a chosen threshold, such as two standard deviations; it reverses the positions when the spread falls below the corresponding negative threshold. The document gives no backtest or evidence that this example is profitable. The method depends on a stable equilibrium, suitable hedge sizing, and reliable estimates of spread behavior. Another response cautions that correlation alone may already be reflected in prices; a predictive lead or other exploitable relationship would be needed to support a signal.
Key ideas
- Correlation alone does not establish that a factor can generate profitable trading signals.
- Test for cointegration and investigate whether common macroeconomic drivers explain the relationship.
- A pairs strategy can trade deviations of a hedge-adjusted spread from its presumed equilibrium.
- Standard-deviation thresholds are one possible entry rule, but the document provides no performance evidence.
- The relationship must be stable enough for mean reversion to occur.
Tags
Full text
# Given a factor which is correlated to price, how to generate trading signal? # Given a factor which is correlated to price, how to generate trading signal? Let's say through different means, I have a factor which is fairly correlated with price. How can I create a trading strategy using this information? How can I generate buy and sell signals given a factor? An example would be this: taking DE10Year yield minus US10Year yield, the spread shows strong correlation visually with EURUSD price. How can we generate a buy sell? ## Answer by numerairX (score 2) https://quant.stackexchange.com/a/42895 So supposedly you have - tested the properties of the two time series - passed cointegration test - and you are sure that the correlation in this data period was not driven by a very obvious macroeconomics factor, then it comes to defining your investment strategy. A common one is pairs trading, where you remain cashless in longing one asset and shorting the other. There are lots of ways to do pairs trading, but as a starter let's say you defined the spread $\epsilon_t $ between asset A and B (counting the ratio mentioned earlier to maintain cashless), since we think there's long run equilibrium between the two asset, $\epsilon$ series should follow normal distribution like a noise. Your buy/sell signal then can be: once the spread exceeds say 2 standard deviation, we think the current spread is overvalued and thus we short the asset as the subtractor in our equation defining spread (e.g $\epsilon$ = A- some ratio * B, in this case asset A) and long the other one, vice versa on -2 std. ## Answer by Don Coder (score 1) https://quant.stackexchange.com/a/45473 If two different assets are highly correlated this means the correlation will be already in the price. Unless you find a correlation like $X\left[t\right] = Y\left[t+2\right]$.
Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.