The symmetric mean absolute percent error (SMAPE) is a symmetrized version of percent error with the formula:
$$\frac{200\%}{n}\sum_i\frac{|x_i - y_i|}{|x_i| + |y_i|}$$
SMAPE is symmetric: interchanging the $x$'s and $y$'s doesn't change the value. However, there are applications where it would be nice if an interchange of $x$ and $y$ changed the sign of the difference measure without changing the magnitude (ie if the measure was anti-symmetric).
For example, say that the value of an asset falls from $1 \rightarrow .95$, then recovers $.95 \rightarrow 1$. If you take the SMAPE of the price change events you get $5.13\%$. Instead I'd like to find an approach that would give an an answer of $0\%$ in this case.
Edit:
5 minutes after I wrote this question I thought of a simple answer (posted below). It would still be nice to know if there's an anti-symmetric percent difference measure that has actually been used before in the literature.