Correlation Bounds for Indirect Relationships Between Three Assets
Summary
The question considers three stocks where X is cointegrated with Y and Y with Z, but X and Z are not reported as cointegrated and no three-variable cointegrating relation is available. It asks whether the two pair relationships can support a dynamic portfolio generalization of pairs trading.
The answer does not provide a trading strategy or portfolio construction method. Instead, assuming Pearson correlations, it gives a triangle-inequality bound: the square root of one minus the X–Z correlation is no greater than the sum of the corresponding quantities for X–Y and Y–Z. This offers a mathematical constraint on pairwise correlation relationships, but correlation is distinct from cointegration, and the short response does not establish a cointegrating relation or explain how to trade the three assets.
Key ideas
- The setup has two stated pairwise cointegrating relationships but no direct X–Z or joint relation.
- Under the answer’s Pearson-correlation assumption, a triangle inequality bounds the X–Z correlation distance using the other two pairs.
- The bound concerns correlation and does not itself establish cointegration or define a trading strategy.
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Full text
# Trading 3 stocks X Y Z where X cointegrated to Y, Y to Z, but no other cointegration is available
# Trading 3 stocks X Y Z where X cointegrated to Y, Y to Z, but no other cointegration is available
Suppose you have 3 stocks, say X Y Z. You also know that
X is cointegrated to Y using some test (say ADF)
and
Y is cointegrated to Z.
However, no transitivity, and no threesome cointegration whatsoever (in other words, neither X is directly cointegration to Z, nor is there a 3 symbols cointegration using Johansen).
Is there a way to generalize pair trading to make a dynamic portfolio of X Y Z?
Intuitively I would say yes, by thinking of two pairs, XY and YZ. But I don't see yet a good strategy managing both efficiently.
## Answer by Joseph Zambrano (score 3)
https://quant.stackexchange.com/a/46781
Assuming we are talking about Pearson correlation, then we may apply the triangle inequality. Let $\rho(X,Y)$ denote the correlation between $X$ and $Y$. Then,
$(1-\rho(X,Z))^{1/2}\le (1-\rho(X,Y))^{1/2} + (1-\rho(Y,Z))^{1/2}$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.