“High frequency data are more sensitive to asynchronisum across variable and as a resut, tend to produce lower correlation estimates.”
Can anyone epxlain this?
I’m not quite sure what they mean, but high-frequency data tend to have a lower signal-to-noise ratio than low-frequency data.
Noise tends to drive calculated correlations toward zero.