No owner, no valid thesis regarding the interpretation of Kolmogorov-Smirnov tests as proof of statistical similarity.
Data governance and validation of thresholds are essential prerequisites before any conclusion.
If empirical data come from illiquid markets or if the benchmark selected does not reflect the current risk regime, the observed similarity is a methodological artifact.
A clear sign-off is required on the origin of the data and the relevance of references to avoid such misinterpretations, for example, using an obsolete benchmark in a context of high interest rate volatility.
Without this process, this realization remains an undocumented assertion.