History teaches us that even the most promising laboratory advancements do not guarantee their successful application in complex and unpredictable financial markets.
Historically, new technologies, such as sophisticated financial modeling, have often failed to reproduce their theoretical performance in the face of market realities.
A test bench on 250 S&P 500 assets, although technically impressive, does not capture the myriad of exogenous factors and irrational behaviors that dictate real movements.
The precedent of past crises, where robust models in theory collapsed (for example, during the subprime crisis where risk models underestimated interconnection), urges us to exercise caution before adopting solutions without evidence of long-term robustness.