Facing the dilemma of “COR vs MMC staking”, I looked closely at round performance of my (and other users’) models. I simply plotted COR vs MMC scores of my models and also included performance of current top500 users.
Each scatter-plot shows the results of all models in one round (rounds 212-209 haven’t resolved yet). Each dot represents one user model with X coordinate is correlation score and Y is MMC score (blue triangles are my own models). At each scatter-plot, I added the indifference line: ABOVE the line model is better of staking at MMC score, bellow that line user better to stake on correlation.
At “bad” rounds (like 195-198), MMC is a good way to improve returns for most of the models.
At “good” rounds like 203-209 COR staking bits MMC staking for most of the users’ models. So in general MMC staking strategy provides some kind of protection against performance volatility.