Let's say I have a process $X_t$ with unknown variance process $V_t$.
Then, I write $\mathrm{EMA}[X_t]$ to be the 5 sec exponential moving average of $X_t$.
Consider the transformation $$\sum (X_t-\mathrm{EMA}[X_t]).$$
What can we say about the transformation in terms of the original $X_t$ and $V_t$? (Doesn't have to be proof, but I do like proofs)
As far as I know, a process minus it's exponential moving average is equivalent to fractional differencing. Summing the differential produces a process that is highly correlated to X, and has a more normalized (smoothed) variance process.
If you could point me in the right direction to study something like this I would be very appreciative.