Statistical Carry Trading with Swap Income and Correlated Currency Pairs
Summary
The article outlines a multi-currency carry approach that seeks positive swap income while offsetting exchange-rate exposure through opposing positions in correlated currency pairs. It proposes using least-squares regression on historical daily prices to estimate position directions and relative volumes that produce a positive average outcome, then checking that the chosen trade directions also receive positive swaps. An Expert Advisor is described as calculating the recommendation from a selected pair and a second pair that shares its quote currency.
A simple two-instrument example illustrates how a fitted relationship can leave a positive modeled residual across price moves in either direction. This is an explanation of the method, not evidence of realized profitability: the regression is based on past observations and does not guarantee future results. The author emphasizes that correlations and statistical parameters can change, swap rates can shift, and leverage can magnify adverse price moves enough to cause a margin call. The approach is presented as low frequency and still requires monitoring of statistics and news.
Key ideas
- The strategy combines positive swap positions with opposing exposures in correlated currency pairs.
- Least-squares regression on historical prices is used to estimate position directions and relative volumes.
- The proposed trade is considered only when the chosen position directions also have positive swaps.
- A fitted historical relationship does not ensure future profit because market statistics and correlations can change.
- Leverage can make adverse price movements more costly than expected swap income.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.