Simply, does performing KS tests really prove statistical similarity?
Cut the noise: the test measures the distance, but not the meaning.
The parsimony urges us to consider that small deviations may hide critical tail risks for reserve management.
For example, a KS test could show similar return distributions for a given asset but ignore extreme events like a sudden liquidity crisis affecting only the lower 5% of the distribution, yet vital for financial stability.