Machine learning at central banks
If the machine learning mimics the economy then it tries to come to a conclusion, find the tipping points. That makes it non stationary.
Machine learning is just that, trying to come to a conclusion. The sandbox is like that, finite boundary problem orbiting solutions that are error bound though not quite complete. At any given time we have a set of prices that covers variations in real yields, the typicals. As long as quants hold, the market is parsing out the typical set, then precision i not supported and we reprice, set the pricing error change in the other direction.
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